The study is aimed to determine the measurement of sensor tool made in Model Real Time Hybrid LFG-PV-Genset by finding the correction factor produced at TPA Bontang City, East Borneo. The research was conducted by using ampere clammeter, variable voltage regulator, thermometer, odalog7000 series. The calculation results show that the calibration test of Model Real Time Hybrid LFG-PV-Genset from MQ4 sensor data that has been designed capable of having errors of 1,91% and the LM35 temperature sensor is capable of monitoring tempertures of 30°C to 120°C and has an error value of 0,519°C. ZMPT 101B voltage sensor has a linear output change to input changes and has an average error of 1.499V. While the current sensor SCT 013 has an aerage error value of 0,0022A CO2.
This document presents models of an electric water heater and air conditioner for use in residential demand response strategies. It describes the development of simulation models for these appliances based on their operational and physical characteristics. The models were validated against real measurement data and found to accurately model the appliances, with low errors. The models can provide insight into control strategies to better evaluate performance in residential demand response implementations.
This document proposes a hybrid Lightning Search Algorithm-Artificial Neural Network (LSA-ANN) based home energy management scheduling controller for residential demand response. It models common household appliances like air conditioners, water heaters, refrigerators and washing machines. The controller uses LSA to optimize ANN parameters like learning rate and number of hidden nodes to improve load scheduling accuracy. Results show the hybrid LSA-ANN approach reduces peak energy consumption by up to 9.7% compared to a hybrid PSO-ANN approach.
Indoor and outdoor investigation comparison of photovoltaic thermal air colle...journalBEEI
Photovoltaic technology is one of renewable energy technology very hopeful, especially photovoltaic thermal system or PVT system. A PVT system solar air collector produces hot air and electricity simultaneously. In this study, indoor and outdoor investigation comparison of PVT system solar air collector has tested at the National University of Malaysia. The indoor and outdoor investigation conducted with variation mass flow rates from 0.01 kg/s to 0.05 kg/s at the solar intensity of 820 W/m2. Indoor and outdoor evaluation is conducted to precisely evaluate the performance improvement theorized by the researcher. The comparison between the indoor and outdoor outcome purposed to confirm each testing and attraction decision. The outdoor investigation outcomes were agreement with indoor results. Indoor investigation outcomes reliably with outdoor investigation outcomes indicated by accuracy results.
SIMULATION OF SOLAR THERMAL CENTRAL RECEIVER POWER PLANT AND EFFECT OF WEATHE...IAEME Publication
Mathematical model is presented for prediction of thermal losses from central receiver solar thermal power plant. Results obtained are verified with evidence from solar experiments. Code is developed for studying the effect of variation of weather conditions i.e. variation of incident solar radiation, wind speed and ambient temperature during the entire year on the thermal performance of receiver. Thermal losses have its effect on efficiency of the receiver and hence the overall cost of solar thermal to electric power. Radiation and convection losses are the major components of thermal losses. Simulation is done for weather data of Jaipur city of India
This document summarizes a study that evaluates the potential for optimizing the time response of HVAC control systems in smart buildings. The study proposes an integrated fuzzy logic controller that combines a Mamdani-type fuzzy PI-PD controller with a Takagi-Sugeno-Kang type cluster adaptive training controller. The fuzzy membership functions of the PI-PD controller are tuned online using a simplex search algorithm to minimize time response, while the cluster adaptive training controller is tuned offline and online using gradient descent to enhance stability and disturbance rejection. Simulation results showed the proposed integrated controller improved output accuracy, significantly reduced response time, and increased robustness of indoor conditions control for MIMO HVAC systems.
The document summarizes research on the suitability of heat exchangers for use as solar receivers in solar thermal power applications. It discusses two main solar collector technologies - point focusing and line focusing collectors - and the receiver design requirements for each. It then outlines the methodology used, which includes designing and fabricating a shell and helical tube heat exchanger, modeling a porous disc line receiver with CFD, simulating different configurations and working fluids, and determining parameters for maximum efficiency. Literature on existing receiver models is reviewed and key findings are summarized. Experimental work involving a shell and helical tube receiver with nanofluid is described and optimization of parameters is discussed. Results from CFD analysis of the porous disc receiver showing heat transfer and fluid
This document describes the development of a microcontroller-based electric cooker/oven with temperature and time control. The system uses an ATmega8 microcontroller and LM35 temperature sensor to monitor and control the temperature. The microcontroller's internal timer is used to time the cooking process. Tests showed the regulated cooker uses slightly more time (1-6 minutes) to cook items but saves energy by switching off automatically when time elapses or temperature is reached. The regulated cooker is an efficient energy conservation device.
This document presents models of an electric water heater and air conditioner for use in residential demand response strategies. It describes the development of simulation models for these appliances based on their operational and physical characteristics. The models were validated against real measurement data and found to accurately model the appliances, with low errors. The models can provide insight into control strategies to better evaluate performance in residential demand response implementations.
This document proposes a hybrid Lightning Search Algorithm-Artificial Neural Network (LSA-ANN) based home energy management scheduling controller for residential demand response. It models common household appliances like air conditioners, water heaters, refrigerators and washing machines. The controller uses LSA to optimize ANN parameters like learning rate and number of hidden nodes to improve load scheduling accuracy. Results show the hybrid LSA-ANN approach reduces peak energy consumption by up to 9.7% compared to a hybrid PSO-ANN approach.
Indoor and outdoor investigation comparison of photovoltaic thermal air colle...journalBEEI
Photovoltaic technology is one of renewable energy technology very hopeful, especially photovoltaic thermal system or PVT system. A PVT system solar air collector produces hot air and electricity simultaneously. In this study, indoor and outdoor investigation comparison of PVT system solar air collector has tested at the National University of Malaysia. The indoor and outdoor investigation conducted with variation mass flow rates from 0.01 kg/s to 0.05 kg/s at the solar intensity of 820 W/m2. Indoor and outdoor evaluation is conducted to precisely evaluate the performance improvement theorized by the researcher. The comparison between the indoor and outdoor outcome purposed to confirm each testing and attraction decision. The outdoor investigation outcomes were agreement with indoor results. Indoor investigation outcomes reliably with outdoor investigation outcomes indicated by accuracy results.
SIMULATION OF SOLAR THERMAL CENTRAL RECEIVER POWER PLANT AND EFFECT OF WEATHE...IAEME Publication
Mathematical model is presented for prediction of thermal losses from central receiver solar thermal power plant. Results obtained are verified with evidence from solar experiments. Code is developed for studying the effect of variation of weather conditions i.e. variation of incident solar radiation, wind speed and ambient temperature during the entire year on the thermal performance of receiver. Thermal losses have its effect on efficiency of the receiver and hence the overall cost of solar thermal to electric power. Radiation and convection losses are the major components of thermal losses. Simulation is done for weather data of Jaipur city of India
This document summarizes a study that evaluates the potential for optimizing the time response of HVAC control systems in smart buildings. The study proposes an integrated fuzzy logic controller that combines a Mamdani-type fuzzy PI-PD controller with a Takagi-Sugeno-Kang type cluster adaptive training controller. The fuzzy membership functions of the PI-PD controller are tuned online using a simplex search algorithm to minimize time response, while the cluster adaptive training controller is tuned offline and online using gradient descent to enhance stability and disturbance rejection. Simulation results showed the proposed integrated controller improved output accuracy, significantly reduced response time, and increased robustness of indoor conditions control for MIMO HVAC systems.
The document summarizes research on the suitability of heat exchangers for use as solar receivers in solar thermal power applications. It discusses two main solar collector technologies - point focusing and line focusing collectors - and the receiver design requirements for each. It then outlines the methodology used, which includes designing and fabricating a shell and helical tube heat exchanger, modeling a porous disc line receiver with CFD, simulating different configurations and working fluids, and determining parameters for maximum efficiency. Literature on existing receiver models is reviewed and key findings are summarized. Experimental work involving a shell and helical tube receiver with nanofluid is described and optimization of parameters is discussed. Results from CFD analysis of the porous disc receiver showing heat transfer and fluid
This document describes the development of a microcontroller-based electric cooker/oven with temperature and time control. The system uses an ATmega8 microcontroller and LM35 temperature sensor to monitor and control the temperature. The microcontroller's internal timer is used to time the cooking process. Tests showed the regulated cooker uses slightly more time (1-6 minutes) to cook items but saves energy by switching off automatically when time elapses or temperature is reached. The regulated cooker is an efficient energy conservation device.
Predicting the amount of electricity produced in a power plant is very important for today’s economy.
Oven Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, Feeding
Water Tank data affect the electricity production.
Coal-Fired Boiler Fault Prediction using Artificial Neural Networks IJECEIAES
Boiler fault is a critical issue in a coal-fired power plant due to its high temperature and high pressure characteristics. The complexity of boiler design increases the difficulty of fault investigation in a quick moment to avoid long duration shut-down. In this paper, a boiler fault prediction model is proposed using artificial neural network. The key influential parameters analysis is carried out to identify its correlation with the performance of the boiler. The prediction model is developed to achieve the least misclassification rate and mean squared error. Artificial neural network is trained using a set of boiler operational parameters. Subsequenlty, the trained model is used to validate its prediction accuracy against actual fault value from a collected real plant data. With reference to the study and test results, two set of initial weights have been tested to verify the repeatability of the correct prediction. The results show that the artificial neural network implemented is able to provide an average of above 92% prediction rate of accuracy.
The Friends of NELHA presented a 3 part workshop called Energy Efficiency and Auditing Workshop in Hawaii. This slideshow presentation by Dr. Roderick Hinman is the first section which discusses what electricity is, how it is measured, and how you can measure the electrical loads of each appliance in your home to make decisions that can save on your home electric bill.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document summarizes and compares various tuning methods for a PID controller for temperature control of an electric oven. It describes the Ziegler-Nichols first and closed loop tuning methods, and a genetic algorithm tuning method. The genetic algorithm approach was able to automatically tune the PID controller gains to minimize error for the temperature control system, and its performance was compared to the other methods. The document also discusses identifying the parameters of the oven plant through open loop step response testing.
Performance optimization assessment for a proper heat pump technology functio...Premier Publishers
This investigation represents a thermodynamic assessment of thermal performance optimization for a proper heat pump technology suitable for district hot water production at (60-65) °C. The clean energy sources integrated with environment friendly refrigerants were studied to optimize and validate the use of Cascade heat pump technology at various configurations. Three pure, R744, R600a and R134a, and one azeotropic mixture R410A refrigerants were circulated at different cycle arrangements. Two Cascade systems (Three Cycles), single Cascade system (Two Cycles), and compound Cascade system (Three Cycles) were proposed for the present assessment. The low temperature cycle operated at evaporator temperature of (-15 to -2) °C and the high temperature condenser was set at a temperature of (70) °C. The single Cascade heat pump circulating R410A/R134a and the two Cascade R410A/R717/R134a systems showed the best heating coefficient of performance (COP). The former refrigerant pair exhibited higher heating (COP) than that of the latter by (3.6-5) % calculated at (22.5) °C low temperature cycle intermediate temperature for the whole range of test conditions. The lowest (COP) was experienced by the two Cascade heat pump technology circulating R744/R717/R134a and R744/R717/R600a refrigerant pairs. The compound Cascade heat pump is definitely a promising option for low temperature heat source technology on the long term basis due to its low running cost for heating load generation. The heating (COP) showed a range of (2 to 2.7) at (70 %) compressor isentropic efficiency according to the system type, refrigerant pair and operating conditions considered in the present work. Any improvement for the compressor isentropic efficiency provides a valuable augmentation for the heating (COP) of the Cascade heat pump.
An approach to reduce cooling water consumption in thermal power plant by vap...dbpublications
Low water levels in feeder canals of thermal power plants causes shut down of power generations for a few days in the last few years. Apart from that the „Central Electricity Authority‟ produced a report on minimizing the overall water requirement of coal based thermal power stations, and as the report tells that a major proportion of the total water requirement of the power stations is the cooling water used.In this paper we made an attempt to perform a thermodynamic study and analysis of a 250 MW thermal power plant, to reduce the mass flow of cooling water by decreasing its temperature with the help of solar powered refrigeration system. So, here we are going to study an analytical mathematical model of a vapor absorption refrigeration system, and we will try to optimize it‟s control parameters using Taguchi L9 orthogonal array. where the cooling water coming from the cooling tower enters into a solar refrigeration system before entering to the condenser of the power plant. , and we will try to optimize it‟s control parameters using Taguchi L9 orthogonal array. As the temperature of the cooling water drops down because of the refrigeration system, the overall requirement of cooling water reduces. A mathematical model of amount of cooling water flow per second is made in this paper using Taguchi analysis.
IRJET - Effects of Temperature and Dust on the Behavior of Photovoltaic SystemsIRJET Journal
This document summarizes a study on the effects of temperature and dust on the performance of photovoltaic systems. Three photovoltaic systems were tested - one with an automatic cooling and cleaning system to maintain the module temperature at 40°C, one with clean modules but no cooling, and one with dusty modules. Measurements of voltage, current, power and temperatures were taken every 10 minutes over 5 hours. The results showed that maintaining the module temperature at 40°C using the cooling system increased energy generation by 26.17% compared to the non-cooled clean module, and improved performance compared to the dusty module.
Pinch analysis is a methodology for minimizing energy consumption in chemical processes. It involves calculating the minimum energy required and optimizing heat recovery, energy supply, and operating conditions. Pinch analysis provides a structured approach to reduce operating costs, improve efficiency, and minimize capital investment. It was originally developed in the 1970s and involves analyzing process streams in terms of quality and quantity of heat and constructing composite curves to identify opportunities for heat integration. Pinch analysis has been successfully applied across various industries to reduce utility usage and costs.
The development of solar energy gas coupling system (scada) in buildingseSAT Journals
Abstract The system mainly use wall-mounted gas boiler and give priority in use of solar energy in order to maximize the utilization of solar resources. The excess heat will be added to domestic water when the heat for floor radiant heating is enough. The PLC of Siemens is set as slave computer in the monitoring system and it is used to collect thermal parameters such as temperature, flow rate, etc. by temperature sensors, pressure sensors and flow rate sensors. WinCC is set as the host computer to monitor the operating conditions of the entire system. Real-time tracing, monitoring and alarming function can be achieved based on the SQL database, which has realized archive management of the date. The system has been debugged after the whole experiment platform is completed, and the running state of the system shows that this system has high reliability and good stability. Keywords: Solar Energy, Gas, PLC, WinCC, Database
This document discusses optimizing the design of a heat pump system using fuzzy logic and genetic algorithms. It first provides background on heat pumps and their operation. It then describes using fuzzy logic to determine thermodynamic properties of refrigerants, which are important for heat pump performance simulation and optimization. Next, it outlines using a genetic algorithm to optimize parameters of an air-source heat pump system with R-404a refrigerant. Fuzzy logic was employed to predict refrigerant properties for use in the genetic algorithm optimization of the heat pump system design. The approach showed potential for simplifying heat pump system optimization.
This document presents an artificial neural network (ANN) based controller for home energy management. Residential load models are developed for an air conditioner, electric water heater, washing machine, and refrigerator. An ANN with two hidden layers and four inputs/outputs is used to predict the optimal ON/OFF status of appliances. Simulation results show the ANN controller can reduce energy consumption by 3.08% over 5 hours by scheduling loads below a 4kW demand limit without affecting customer preferences.
IRJET- Heat Exchanger based on Nano FluidIRJET Journal
The document discusses using nanofluids to improve heat transfer in a heat exchanger. It begins by introducing nanofluids and their potential to increase heat transfer rates compared to conventional fluids. It then describes the experimental setup to test a heat exchanger using water and metal-based nanofluids. Temperature sensors will measure the inlet and outlet temperatures of the two fluids while flow control valves regulate flow rates. The goal is to study the effect of mass flow rates on heat exchanger efficiency. CAD software was used to model the design. Experimental testing will obtain results and conclusions on the heat exchanger's performance using nanofluids versus just water.
This document presents a theoretical analysis of the performance of a hybrid thermoelectric generator composed of n-type Bismuth Telluride and p-type Lead Telluride. The analysis varies the hot side temperature from 80°C to 350°C and the cold side temperature from 30°C to 150°C to determine the impact on output power, voltage, current, efficiency, and other parameters. The results show that a maximum power output of 21.7W is achieved with a hot side temperature of 350°C, cold side of 30°C, and matched load resistance. The figure of merit is calculated to be around 1.28, making this generator suitable for intermediate temperature applications from 250°C to 350
Correlated Color Temperature and Total Luminous Flux Influenced by Electrical...IJERA Editor
In the present research, both of correlated color temperature and total luminous flux are determined for eight
incandescent lamps at different electrical current values. A set up based on NIS Spectroradiometer Ocean optics HR
2000 with uncertainty 4.7% and photometric bench have been used to measure the correlated color temperature for
the lamps. Another set up based on 2.5 meter NIS integrating sphere and NIS photometer LMT U 1000 with
uncertainty 4% and group of NIS total luminous flux standard lamps are calibrated at National Physical Laboratory
(NPL) in England with uncertainty 0.8% are used to measure the total luminous flux for the incandescent lamps. The
sphere photometer calibration factor (SCPF) is 0.15% with photometer quality factor '
1 f is 6.25%. The correlated
color temperature and total luminous flux curves and equations are very useful to determine the uncertainty due to
changing in electrical operating current for each lamp.
Energy and Exergy Analysis of a Country Sectors - Advanced ThermodynamicsMostafa Ghadamyari
This document outlines sectoral energy and exergy analysis procedures. It discusses how energy, exergy, and entropy concepts apply to thermodynamic systems and can be used to analyze macrosystems like societies. The document then provides an example of analyzing Turkey's residential/commercial sector, showing the steps to estimate energy and exergy efficiencies for applications like space heating and cooking. Finally, it discusses analyzing Turkey's industrial sector, dividing energy usage into process categories and examining industries like iron-steel production.
This document summarizes a research paper that proposes a fuzzy self-adaptive PID controller for temperature control of an electric heating furnace. It begins with an introduction to electric furnaces and challenges with using conventional PID controllers for nonlinear and time-varying temperature processes. It then describes tuning various PID controller gains using algorithms and comparing responses. Next, it designs a fuzzy logic controller and fuzzy-PID controller for the system using MATLAB/Simulink. Membership functions and fuzzy rules are defined for the fuzzy inference systems. The results show that the proposed fuzzy self-adaptive PID controller provides the best dynamic performance for temperature control of the electric furnace.
IRJET- TEG Assists Performance Enhancement on Solar Roof-Top SystemIRJET Journal
This document describes research on using thermoelectric generators (TEGs) to improve the performance of solar roof-top systems. TEGs convert temperature differences directly into electricity via the Seebeck effect. The researchers built a mathematical model of TEGs in MATLAB Simulink to analyze their voltage, current, and power outputs under varying temperature inputs. Simulation results showed the voltage-current characteristics were linearly decreasing and the power-voltage characteristics had a maximum power point. Accounting for real-world solar heating conditions in the model produced dynamic rather than steady-state outputs from the TEGs. Insulation was also analyzed to minimize heat loss from the system and maximize power generation time.
This document summarizes the application of pinch technology to optimize heat integration in a crude organic distillation unit. It provides an overview of the unit's process and existing heat exchanger network. A heat and material balance is developed from available data. Pinch analysis techniques are then applied, including constructing composite curves from extracted stream data and determining minimum hot and cold utility targets. The analysis identifies opportunities to reduce utility usage through improved heat recovery and exchange network design according to pinch analysis principles.
This thesis analyzes the performance of a steam jet ejector chiller solar cooling system installed at Hochschule Karlsruhe during the summer of 2015. Key findings include:
1) The system operated reliably on days with temperatures under 32°C and provided the desired building cooling, though average cooling capacity was lower than the chiller's nominal rating.
2) Data analysis software was developed to evaluate seasonal performance indicators like collectors' yield, utilization factor, and COP values.
3) Over the summer, 25 operative days provided a total of 3,951 kWh of useful cooling while consuming 1,226 kWh of electricity. Thermal and electrical COP were 0.36 and 3.22 respectively
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
IRJET- Design And Implementation of 230v Load Control System using RTC ...IRJET Journal
This document summarizes a student project that designed and implemented a 230V load control system using a real-time clock. The system controls devices running on 230V power by automatically turning them on and off at set times. It uses various sensors including a light dependent resistor, temperature sensor, and smoke detector. The temperature sensor controls the speed of a fan based on room temperature. The smoke detector activates an exhaust fan in the event of smoke. An LCD screen displays temperature readings and settings can be adjusted with buttons. The system aims to conserve energy by preventing unnecessary device use. It could benefit both residential and industrial applications requiring temperature control and smoke removal.
Predicting the amount of electricity produced in a power plant is very important for today’s economy.
Oven Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, Feeding
Water Tank data affect the electricity production.
Coal-Fired Boiler Fault Prediction using Artificial Neural Networks IJECEIAES
Boiler fault is a critical issue in a coal-fired power plant due to its high temperature and high pressure characteristics. The complexity of boiler design increases the difficulty of fault investigation in a quick moment to avoid long duration shut-down. In this paper, a boiler fault prediction model is proposed using artificial neural network. The key influential parameters analysis is carried out to identify its correlation with the performance of the boiler. The prediction model is developed to achieve the least misclassification rate and mean squared error. Artificial neural network is trained using a set of boiler operational parameters. Subsequenlty, the trained model is used to validate its prediction accuracy against actual fault value from a collected real plant data. With reference to the study and test results, two set of initial weights have been tested to verify the repeatability of the correct prediction. The results show that the artificial neural network implemented is able to provide an average of above 92% prediction rate of accuracy.
The Friends of NELHA presented a 3 part workshop called Energy Efficiency and Auditing Workshop in Hawaii. This slideshow presentation by Dr. Roderick Hinman is the first section which discusses what electricity is, how it is measured, and how you can measure the electrical loads of each appliance in your home to make decisions that can save on your home electric bill.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document summarizes and compares various tuning methods for a PID controller for temperature control of an electric oven. It describes the Ziegler-Nichols first and closed loop tuning methods, and a genetic algorithm tuning method. The genetic algorithm approach was able to automatically tune the PID controller gains to minimize error for the temperature control system, and its performance was compared to the other methods. The document also discusses identifying the parameters of the oven plant through open loop step response testing.
Performance optimization assessment for a proper heat pump technology functio...Premier Publishers
This investigation represents a thermodynamic assessment of thermal performance optimization for a proper heat pump technology suitable for district hot water production at (60-65) °C. The clean energy sources integrated with environment friendly refrigerants were studied to optimize and validate the use of Cascade heat pump technology at various configurations. Three pure, R744, R600a and R134a, and one azeotropic mixture R410A refrigerants were circulated at different cycle arrangements. Two Cascade systems (Three Cycles), single Cascade system (Two Cycles), and compound Cascade system (Three Cycles) were proposed for the present assessment. The low temperature cycle operated at evaporator temperature of (-15 to -2) °C and the high temperature condenser was set at a temperature of (70) °C. The single Cascade heat pump circulating R410A/R134a and the two Cascade R410A/R717/R134a systems showed the best heating coefficient of performance (COP). The former refrigerant pair exhibited higher heating (COP) than that of the latter by (3.6-5) % calculated at (22.5) °C low temperature cycle intermediate temperature for the whole range of test conditions. The lowest (COP) was experienced by the two Cascade heat pump technology circulating R744/R717/R134a and R744/R717/R600a refrigerant pairs. The compound Cascade heat pump is definitely a promising option for low temperature heat source technology on the long term basis due to its low running cost for heating load generation. The heating (COP) showed a range of (2 to 2.7) at (70 %) compressor isentropic efficiency according to the system type, refrigerant pair and operating conditions considered in the present work. Any improvement for the compressor isentropic efficiency provides a valuable augmentation for the heating (COP) of the Cascade heat pump.
An approach to reduce cooling water consumption in thermal power plant by vap...dbpublications
Low water levels in feeder canals of thermal power plants causes shut down of power generations for a few days in the last few years. Apart from that the „Central Electricity Authority‟ produced a report on minimizing the overall water requirement of coal based thermal power stations, and as the report tells that a major proportion of the total water requirement of the power stations is the cooling water used.In this paper we made an attempt to perform a thermodynamic study and analysis of a 250 MW thermal power plant, to reduce the mass flow of cooling water by decreasing its temperature with the help of solar powered refrigeration system. So, here we are going to study an analytical mathematical model of a vapor absorption refrigeration system, and we will try to optimize it‟s control parameters using Taguchi L9 orthogonal array. where the cooling water coming from the cooling tower enters into a solar refrigeration system before entering to the condenser of the power plant. , and we will try to optimize it‟s control parameters using Taguchi L9 orthogonal array. As the temperature of the cooling water drops down because of the refrigeration system, the overall requirement of cooling water reduces. A mathematical model of amount of cooling water flow per second is made in this paper using Taguchi analysis.
IRJET - Effects of Temperature and Dust on the Behavior of Photovoltaic SystemsIRJET Journal
This document summarizes a study on the effects of temperature and dust on the performance of photovoltaic systems. Three photovoltaic systems were tested - one with an automatic cooling and cleaning system to maintain the module temperature at 40°C, one with clean modules but no cooling, and one with dusty modules. Measurements of voltage, current, power and temperatures were taken every 10 minutes over 5 hours. The results showed that maintaining the module temperature at 40°C using the cooling system increased energy generation by 26.17% compared to the non-cooled clean module, and improved performance compared to the dusty module.
Pinch analysis is a methodology for minimizing energy consumption in chemical processes. It involves calculating the minimum energy required and optimizing heat recovery, energy supply, and operating conditions. Pinch analysis provides a structured approach to reduce operating costs, improve efficiency, and minimize capital investment. It was originally developed in the 1970s and involves analyzing process streams in terms of quality and quantity of heat and constructing composite curves to identify opportunities for heat integration. Pinch analysis has been successfully applied across various industries to reduce utility usage and costs.
The development of solar energy gas coupling system (scada) in buildingseSAT Journals
Abstract The system mainly use wall-mounted gas boiler and give priority in use of solar energy in order to maximize the utilization of solar resources. The excess heat will be added to domestic water when the heat for floor radiant heating is enough. The PLC of Siemens is set as slave computer in the monitoring system and it is used to collect thermal parameters such as temperature, flow rate, etc. by temperature sensors, pressure sensors and flow rate sensors. WinCC is set as the host computer to monitor the operating conditions of the entire system. Real-time tracing, monitoring and alarming function can be achieved based on the SQL database, which has realized archive management of the date. The system has been debugged after the whole experiment platform is completed, and the running state of the system shows that this system has high reliability and good stability. Keywords: Solar Energy, Gas, PLC, WinCC, Database
This document discusses optimizing the design of a heat pump system using fuzzy logic and genetic algorithms. It first provides background on heat pumps and their operation. It then describes using fuzzy logic to determine thermodynamic properties of refrigerants, which are important for heat pump performance simulation and optimization. Next, it outlines using a genetic algorithm to optimize parameters of an air-source heat pump system with R-404a refrigerant. Fuzzy logic was employed to predict refrigerant properties for use in the genetic algorithm optimization of the heat pump system design. The approach showed potential for simplifying heat pump system optimization.
This document presents an artificial neural network (ANN) based controller for home energy management. Residential load models are developed for an air conditioner, electric water heater, washing machine, and refrigerator. An ANN with two hidden layers and four inputs/outputs is used to predict the optimal ON/OFF status of appliances. Simulation results show the ANN controller can reduce energy consumption by 3.08% over 5 hours by scheduling loads below a 4kW demand limit without affecting customer preferences.
IRJET- Heat Exchanger based on Nano FluidIRJET Journal
The document discusses using nanofluids to improve heat transfer in a heat exchanger. It begins by introducing nanofluids and their potential to increase heat transfer rates compared to conventional fluids. It then describes the experimental setup to test a heat exchanger using water and metal-based nanofluids. Temperature sensors will measure the inlet and outlet temperatures of the two fluids while flow control valves regulate flow rates. The goal is to study the effect of mass flow rates on heat exchanger efficiency. CAD software was used to model the design. Experimental testing will obtain results and conclusions on the heat exchanger's performance using nanofluids versus just water.
This document presents a theoretical analysis of the performance of a hybrid thermoelectric generator composed of n-type Bismuth Telluride and p-type Lead Telluride. The analysis varies the hot side temperature from 80°C to 350°C and the cold side temperature from 30°C to 150°C to determine the impact on output power, voltage, current, efficiency, and other parameters. The results show that a maximum power output of 21.7W is achieved with a hot side temperature of 350°C, cold side of 30°C, and matched load resistance. The figure of merit is calculated to be around 1.28, making this generator suitable for intermediate temperature applications from 250°C to 350
Correlated Color Temperature and Total Luminous Flux Influenced by Electrical...IJERA Editor
In the present research, both of correlated color temperature and total luminous flux are determined for eight
incandescent lamps at different electrical current values. A set up based on NIS Spectroradiometer Ocean optics HR
2000 with uncertainty 4.7% and photometric bench have been used to measure the correlated color temperature for
the lamps. Another set up based on 2.5 meter NIS integrating sphere and NIS photometer LMT U 1000 with
uncertainty 4% and group of NIS total luminous flux standard lamps are calibrated at National Physical Laboratory
(NPL) in England with uncertainty 0.8% are used to measure the total luminous flux for the incandescent lamps. The
sphere photometer calibration factor (SCPF) is 0.15% with photometer quality factor '
1 f is 6.25%. The correlated
color temperature and total luminous flux curves and equations are very useful to determine the uncertainty due to
changing in electrical operating current for each lamp.
Energy and Exergy Analysis of a Country Sectors - Advanced ThermodynamicsMostafa Ghadamyari
This document outlines sectoral energy and exergy analysis procedures. It discusses how energy, exergy, and entropy concepts apply to thermodynamic systems and can be used to analyze macrosystems like societies. The document then provides an example of analyzing Turkey's residential/commercial sector, showing the steps to estimate energy and exergy efficiencies for applications like space heating and cooking. Finally, it discusses analyzing Turkey's industrial sector, dividing energy usage into process categories and examining industries like iron-steel production.
This document summarizes a research paper that proposes a fuzzy self-adaptive PID controller for temperature control of an electric heating furnace. It begins with an introduction to electric furnaces and challenges with using conventional PID controllers for nonlinear and time-varying temperature processes. It then describes tuning various PID controller gains using algorithms and comparing responses. Next, it designs a fuzzy logic controller and fuzzy-PID controller for the system using MATLAB/Simulink. Membership functions and fuzzy rules are defined for the fuzzy inference systems. The results show that the proposed fuzzy self-adaptive PID controller provides the best dynamic performance for temperature control of the electric furnace.
IRJET- TEG Assists Performance Enhancement on Solar Roof-Top SystemIRJET Journal
This document describes research on using thermoelectric generators (TEGs) to improve the performance of solar roof-top systems. TEGs convert temperature differences directly into electricity via the Seebeck effect. The researchers built a mathematical model of TEGs in MATLAB Simulink to analyze their voltage, current, and power outputs under varying temperature inputs. Simulation results showed the voltage-current characteristics were linearly decreasing and the power-voltage characteristics had a maximum power point. Accounting for real-world solar heating conditions in the model produced dynamic rather than steady-state outputs from the TEGs. Insulation was also analyzed to minimize heat loss from the system and maximize power generation time.
This document summarizes the application of pinch technology to optimize heat integration in a crude organic distillation unit. It provides an overview of the unit's process and existing heat exchanger network. A heat and material balance is developed from available data. Pinch analysis techniques are then applied, including constructing composite curves from extracted stream data and determining minimum hot and cold utility targets. The analysis identifies opportunities to reduce utility usage through improved heat recovery and exchange network design according to pinch analysis principles.
This thesis analyzes the performance of a steam jet ejector chiller solar cooling system installed at Hochschule Karlsruhe during the summer of 2015. Key findings include:
1) The system operated reliably on days with temperatures under 32°C and provided the desired building cooling, though average cooling capacity was lower than the chiller's nominal rating.
2) Data analysis software was developed to evaluate seasonal performance indicators like collectors' yield, utilization factor, and COP values.
3) Over the summer, 25 operative days provided a total of 3,951 kWh of useful cooling while consuming 1,226 kWh of electricity. Thermal and electrical COP were 0.36 and 3.22 respectively
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
IRJET- Design And Implementation of 230v Load Control System using RTC ...IRJET Journal
This document summarizes a student project that designed and implemented a 230V load control system using a real-time clock. The system controls devices running on 230V power by automatically turning them on and off at set times. It uses various sensors including a light dependent resistor, temperature sensor, and smoke detector. The temperature sensor controls the speed of a fan based on room temperature. The smoke detector activates an exhaust fan in the event of smoke. An LCD screen displays temperature readings and settings can be adjusted with buttons. The system aims to conserve energy by preventing unnecessary device use. It could benefit both residential and industrial applications requiring temperature control and smoke removal.
This document discusses analyzing the error of thermocouples using a controlled temperature profile method. Thermocouples are placed inside a controlled heating profile and their readings are collected over time as the thermocouples degrade. The readings are analyzed using various signal processing techniques like smoothing, FFT filtering, and outlier detection to characterize thermocouple drift and error. Experimental results like temperature readings, outlier detection, and histograms are presented and compared to theoretical models of thermocouple error. The controlled temperature profile method allows more accurate analysis of thermocouple error compared to traditional calibration methods.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Design of a low cost temperature controller for high temperature furnaces use...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Statistical modeling and optimal energy distribution of cogeneration units b...IJECEIAES
Our main objective is to evaluate the performance of a new method to optimize the energy management of a production system composed of six cogeneration units using artificial intelligence. The optimization criterion is economic and environmental in order to minimize the total fuel cost, as well as the reduction of polluting gas emissions such as COx, NOx and SOx. First, a statistical model has been developed to determine the power that the cogeneration units can provide. Then, an economic model of operation was developed: fuel consumption and pollutant gas emissions as a function of the power produced. Finally, we studied the energy optimization of the system using genetic algorithms (GA), and contribute to the research on improving the efficiency of the studied power system. The GA has a better optimization performance, it can easily choose satisfactory solutions according to the optimization objectives, and compensate for these defects using its own characteristics. These characteristics make GA have outstanding advantages in iterative optimization. The robustness of the proposed algorithm is validated by testing six cogeneration units, and the obtained simulation results of the proposed system prove the value and effectiveness of GA for efficiency improvement as well as operating cost minimization.
IRJET- IoT based LPG Gas Booking and Monitoring SystemIRJET Journal
This document describes an Internet of Things (IoT) based LPG gas booking and monitoring system. The system uses a load cell to continuously measure the weight of an LPG cylinder. When the weight reaches a minimum threshold, an SMS alert is automatically sent to the user and gas agency. The system also detects gas leaks using an MQ-6 sensor. If the temperature reaches a threshold, an exhaust fan and windows are opened using a DC motor. Additionally, a GPS tracks the location of the system to help the agency deliver a new cylinder to that address. This automation aims to improve coordination between customers and agencies and reduce manual processes of gas cylinder booking and delivery.
IRJET- A Modern Lightning System for Power Saving ApplicationIRJET Journal
This document summarizes a research paper on a modern lightning system using thermoelectric generators (TEGs) for power saving applications. It discusses using TEGs to convert waste heat from motors and transformers into electricity to power street lamps. TEGs directly convert heat into electrical energy via the Seebeck effect. The system would involve collecting industrial waste heat via TEG plates, using the generated electricity to charge batteries, and powering street lamps with the stored battery energy. The document reviews common TEG materials like bismuth telluride and discusses advantages like reduced emissions and increased engine efficiency from recovering exhaust heat.
Green Charge: Managing Renewable Energy using Piezo SensorsIRJET Journal
This document proposes a system to manage renewable energy using piezoelectric sensors. Piezoelectric materials generate electric current when pressure is applied. The system uses piezoelectric sensors to harvest wasted pressure energy and store it in a battery. An ARM7 microcontroller monitors sensors like LDR, temperature, and the battery level. It controls loads like LED lights and a fan based on sensor readings. When the LDR sensor detects darkness, the microcontroller turns on an LED. It also turns on a fan if the temperature exceeds 38 degrees Celsius. The system aims to efficiently use piezoelectric energy and provide power for small electronic devices in a sustainable way.
IRJET- Loss of Load Probability Method Applicability Limits as Function o...IRJET Journal
This document discusses the Loss of Load Probability (LLP) method for sizing standalone photovoltaic (PV) systems and evaluates the applicability limits of the LLP method based on different climate conditions and power consumption types. The LLP method aims to size the PV system collection field and storage field to ensure reliability while decreasing economic costs compared to simpler sizing methods. The document analyzes experimental solar irradiation and power consumption data from real PV systems located in Spain to evaluate the LLP method under different conditions without relying on models or simulations. Key variables in the LLP method like energy production, consumption, storage state of charge, and isoreliability curves are defined. Different power consumption regimes are also categorized to analyze their impact
Microcontroller-based Control and Data Acquisition System for a Grid-connecte...TELKOMNIKA JOURNAL
There has been a significant increase in the exploitation of renewable energy systems. To be
able to efficiently utilize grid - connected renewable energy sources, there must be a reliable control and
monitoring system. In building a control and monitoring system for this system, a power analyzer
connected to a microcontroller was used. The microcontroller was linked to touchscreen display where a
graphical user interface (GUI) was programmed to able to display and log the data recovered. Relays were
used to reconfigure the system by shifting the load’s source of energy between the grid and renewable
energy system. The energy generated by the renewable energy system may be delivered to the load or be
fed to the grid as needed. This operation will be done through either an external device or through a
computer which was built to manually operate the control system and view the status of the system as
determined by parameters such as cost and energy consumption. This system provided residential
buildings with their own renewable energy system with a simple yet reliable control and monitoring system.
The system was able to accumulate accurate and real time data. It also provided a continuous supply and
switching application simultaneously
A novel approach to evaluate dynamic performance for photovoltaic system usin...IJECEIAES
With the growing demand for renewable energy, solar photovoltaic (PV) systems have gained popularity as a reliable source of clean electricity. However, the performance of these systems can be limited by factors such as suboptimal maximum power point tracking (MPPT) algorithms. In order to improve the power generation efficiency of PV systems, it is important to evaluate the performance of dynamic MPPT algorithms that can adapt to varying operating conditions. Traditionally, such evaluations have been time consuming and expensive, often requiring extensive testing and measurement equipment. In this paper, we propose a novel approach to evaluate dynamic MPPT performance very quickly and simply using PSIM software. This approach enables accurate and efficient evaluation of MPPT performance under a wide range of operating conditions, while minimizing the cost and time involved in traditional testing methods. When applying the proposed method to a 3.7 kW inverter using the traditional perturbation and observation (P and O) method, we found that the highest average efficiency was 98.92% at an MPPT control period of 0.1s and a voltage perturbation of 1 V. This evaluation technique provides valuable insights into the design and optimization of more efficient MPPT control algorithms, leading to improved power generation efficiency and increased adoption of solar PV systems.
Performance of low-cost solar radiation loggerIJECEIAES
In solar power systems, irradiance value data are among the most important parameters. Such data can be used in installing photovoltaic (PV) modules, such as determining the exact location, tilt angle, and required area, for optimal power efficiency. In this study, the comprehensive simulation and implementation of a solar radiation meter with a PV cell and temperature sensor are presented. The irradiance measurement value is based on the power reading generated by the small capacity of the PV cell at a specific load converted into a digital value in the microcontroller using the implicit Newton polynomial interpolation (NPI) equation as a low-cost alternative method. The effect of temperature is included in the conversion to obtain precise measurement results. Firstly, the structure and characteristics of the PV cell are discussed. Secondly, the parameters, measuring method, and conversion of the measurement reading data using the NPI equation are presented to assess the results. Finally, the simulation of the solar radiation meter using the PSIM and implementation of the hardware are conducted to validate the concepts and compare their results. The proposed hardware has an average error of 2.72% in the implementation of the measurement test.
This document summarizes a study that optimizes PID controller parameters for load frequency control in a four-area interconnected power system using particle swarm optimization. The four-area system includes thermal, thermal with reheat, hydro, and gas power plants. PID controllers are used for each area. Particle swarm optimization is used to minimize the integral of squared error performance index by optimizing the PID parameters. Simulation results in MATLAB/Simulink demonstrate improved regulation of frequency deviations and tie-line power flows with the optimized PID controllers.
Radial basis network estimator of oxygen content in the flue gas of debutani...IJECEIAES
The energy efficiency in the debutanizer reboiler combustion can be monitored from the oxygen content of the flue gas of the reboiler. The measurement of the oxygen content can be conducted in situ using an oxygen sensor. However, soot that may appear around the sensor due to the combustion process in the debutanizer reboiler can obstruct the sensor’s function. In-situ redundancy sensors’ unavailability is a significant problem when the sensor is damaged, so measures must be made directly by workers using portable devices. On the other hand, worker safety is a primary concern when working in high-risk work areas. In this paper, we propose a software-based measurement or soft sensor to overcome the problems. The radial basis function network model makes soft sensors adapt to data updates because of their advantage as a universal approximator. The estimation of oxygen content with a soft sensor has been successfully carried out. The soft sensor generates an estimated mean square error of 0.216% with a standard deviation of 0.0242%. Stochastics gradient descent algorithm with momentum acceleration and dimension reduction using principal component analysis successfully improves the soft sensors’ performance.
Supply Insensitivity Temperature Sensor for Microprocessor Thermal Monitoring...IOSR Journals
This document describes a temperature sensor for monitoring microprocessor temperature using delays in CMOS inverters. It has two key features: 1) It uses a simple one-point calibration method rather than a two-point calibration to account for process variations between sensors. 2) It employs two delay-locked loops (DLLs) - one to generate temperature-independent delay references and one as a time-to-digital converter to compare delays - enabling high bandwidth temperature monitoring. The sensor was fabricated in 0.13um CMOS and tested, showing measurement errors within +/-4°C over a 0-100°C range. ADC-SAR is used to convert delay measurements to digital temperature readings.
This document presents a comparative economic feasibility study of photovoltaic (PV) heat pump systems for space heating and cooling of two livestock farms in Spain. It analyzes two technical solutions: a grid-connected self-consumption (SC) configuration and an autonomous (AU) configuration using thermal energy storage and a diesel generator backup. Both systems were sized to meet the farms' heating and cooling needs. The economic analysis evaluates the profitability, levelized cost of energy, and savings compared to a grid-only system over a 25-year period. Results show that both PV-HP systems are economically feasible, with the autonomous system offering higher profits from electricity bill savings but the self-consumption system having lower overall energy costs due to
Optimal Control Strategy for a Solar Photovoltaic Power System using MATLAB S...IRJET Journal
This document summarizes a research paper that proposes an improved incremental conductance (InC) algorithm for maximum power point tracking in solar photovoltaic systems. The paper presents simulations comparing the improved InC algorithm to traditional perturb and observe and InC algorithms under varying solar irradiation and temperature conditions. The results show the improved InC algorithm more accurately tracks the maximum power point and maintains higher output power compared to the other algorithms under different operating conditions.
A Development of Accident Prediction Technique based on Monitoring Data for t...coreconferences
1) The document proposes a technique to predict fire accidents in areas with dense energy consumption, like markets and shopping centers, based on temperature monitoring data. It analyzes statistical risk factor data and experiments on temperature changes near burners.
2) Characteristics of temperature data were investigated through a literature review on heat transfer and experiments measuring temperature variations at different distances from a burner. This helped identify patterns that could indicate abnormal heating.
3) An algorithm was developed to apply the temperature change characteristics to accident prediction. It monitors real-time temperature data, compares it to normal patterns, and predicts the time to reach hazard limits if a rapid temperature rise differs from usual changes.
Similar to The Calibration Test Of Hybrid Landfill Gas -Photovoltaic-Genset Model In Bontang, East Borneo (20)
The aim of this research is the speed tracking of the permanent magnet synchronous motor (PMSM) using an intelligent Neural-Network based adapative backstepping control. First, the model of PMSM in the Park synchronous frame is derived. Then, the PMSM speed regulation is investigated using the classical method utilizing the field oriented control theory. Thereafter, a robust nonlinear controller employing an adaptive backstepping strategy is investigated in order to achieve a good performance tracking objective under motor parameters changing and external load torque application. In the final step, a neural network estimator is integrated with the adaptive controller to estimate the motor parameters values and the load disturbance value for enhancing the effectiveness of the adaptive backstepping controller. The robsutness of the presented control algorithm is demonstrated using simulation tests. The obtained results clearly demonstrate that the presented NN-adaptive control algorithm can provide good trackingperformances for the speed trackingin the presence of motor parameter variation and load application.
The document presents a new method for fault classification and direction discrimination in transmission lines using 1D convolutional neural networks (1D-CNNs). A 132kV transmission line model is simulated to generate training and testing data for the 1D-CNN algorithm. The proposed 1D-CNN approach directly uses the voltage and current signals from one end as input, merging feature extraction and classification into a single learning process. Testing shows the 1D-CNN method accurately classifies and discriminates fault direction with higher accuracy than conventional neural network and fuzzy neural network methods under different fault conditions.
Among the most widespread renewable energy sources is solar energy; Solar panels offer a green, clean, and environmentally friendly source of energy. In the presence of several advantages of the use of photovoltaic systems, the random operation of the photovoltaic generator presents a great challenge, in the presence of a critical load. Among the most used solutions to overcome this problem is the combination of solar panels with generators or with the public grid or both. In this paper, an energy management strategy is proposed with a safety aspect by using artificial neural networks (ANNs), in order to ensure a continuous supply of electricity to consumers with a maximum solicitation of renewable energy.
In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade when the blades are defective. A rotor-disk-blade system with 6 regular blades and 5 blades with various defects was constructed. Second, the ANN was applied to classify the different x- and y-axis lateral vibrations due to different blade faults. The results based on training and testing with different data samples of the fault types indicate that the ANN is robust and can effectively identify and distinguish different blade faults caused by lateral vibrations in a rotor. As compared to the literature, the present paper presents a novel work of identifying and classifying various rotating blade faults commonly encountered in rotating machines using ANN. Experimental data of lateral vibrations of the rotor-disk-blade system in both x- and y-directions are used for the training and testing of the network.
This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. is proposed to find the optimal power flow (OPF). To solve this problem, we will apply the ABC algorithm to a power system incorporating wind power. The proposed approach is applied on a standard IEEE-30 system with wind farms located on different buses and with different penetration levels to show the impact of wind farms on the system in order to obtain the optimal settings of control variables of the OPF problem. Based on technical results obtained, the ABC algorithm is shown to achieve a lower cost and losses than the other methods applied, while incorporating wind power into the system, high performance would be gained.
The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum tracking point. Weather conditions and situation observed through AI decision making with the help of IP algorithms. The presented advance adaptation is analyzed and established via experimental effects which might be made available on the memory of the cloud carrier for systematization. The proposed system improve power gain by 59.21% and 10.32% compare to stable system (SS) and two-axis solar following system (TASF) respectively. The reduced tracking error of IoT based Two-axis solar following system (IoT-TASF) reduces their azimuth angle error by 0.20 degree.
Kosovo has limited renewable energy resources and its power generation sector is based on fossil fuels. Such a situation emphasizes the importance of active research and efficient use of renewable energy potential. According to the analysis of meteorological data for Kosovo, it can be concluded that among the most attractive potential wind power sites are the locations known as Kitka (42° 29' 41" N and 21° 36' 45" E) and Koznica (42° 39′ 32″ N, 21° 22′30″E). The two terrains in which the analysis was carried out are mountain areas, with altitudes of 1142 m (Kitka) and 1230 m (Koznica). the same measuring height, about 84 m above the ground, is obtained for these average wind speeds: Kitka 6,667 m/s and Koznica 6,16 m/s. Since the difference in wind speed is quite large versus a difference in altitude that is not being very large, analyses are made regarding the terrain characteristics including the terrain relief features. In this paper it will be studied how much the roughness of the terrain influences the output energy. Also, that the assumption to be taken the same as to how much they will affect the annual energy produced.
The document summarizes a research paper that proposes using a battery energy storage system (BESS) with droop control to reduce frequency fluctuations in a multi-machine power system connected to a large-scale photovoltaic (PV) plant. The paper develops a droop control strategy for the BESS that incorporates a frequency error signal and dead-band. Simulation results using PSCAD/EMTDC software show that the proposed droop control-based BESS can efficiently curtail frequency oscillations caused by fluctuations in PV power injection due to changing solar irradiance.
This study investigates experimentally the performance of two-dimensional solar tracking systems with reflector using commercial silicon based photovoltaic module, with open and closed loop control systems. Different reflector materials were also investigated. The experiments were performed at the Hashemite University campus in Zarqa at a latitude of 32⁰, in February and March. Photovoltaic output power and performance were analyzed. It was found that the modified photovoltaic module with mirror reflector generated the highest value of power, while the temperature reached a maximum value of 53 ̊ C. The modified module suggested in this study produced 5% more PV power than the two-dimensional solar tracking systems without reflector and produced 12.5% more PV power than the fixed PV module with 26⁰ tilt angle.
This paper focuses on the modeling and control of a wind energy conversion chain using a permanent magnet synchronous machine. This system behaves a turbine, a generator, DC/DC and DC/AC power converters. These are connected on both sides to the DC bus, where the inverter is followed by a filter which is connected to the grid. In this paper, we have been used two types of controllers. For the stator side converter, we consider the Takagi-Sugeno approach where the parameters of controller have been computed by the theory of linear matrix inequalities. The stability synthesis has been checked using the Lyapunov theory. According to the grid side converter, the proportional integral controller is exploited to keep a constant voltage on the DC bus and control both types of powers. The simulation results demonstrate the robustness of the approach used.
The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
The objective of this paper is to provide an overview of the current state of renewable energy resources in Bangladesh, as well as to examine various forms of renewable energies in order to gain a comprehensive understanding of how to address Bangladesh's power crisis issues in a sustainable manner. Electricity is currently the most useful kind of energy in Bangladesh. It has a substantial influence on a country's socioeconomic standing and living standards. Maintaining a stable source of energy at a cost that is affordable to everyone has been a constant battle for decades. Bangladesh is blessed with a wealth of natural resources. Bangladesh has a huge opportunity to accelerate its economic development while increasing energy access, livelihoods, and health for millions of people in a sustainable way due to the renewable energy system.
When the irradiance distribution over the photovoltaic panels is uniform, the pursuit of the maximum power point is not reached, which has allowed several researchers to use traditional MPPT techniques to solve this problem Among these techniques a PSO algorithm is used to have the maximum global power point (GMPPT) under partial shading. On the other hand, this one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper we have treated another technique based on a new modified PSO algorithm so that the power can reach its maximum point. The PSO algorithm is based on the heuristic method which guarantees not only the obtaining of MPPT but also the simplicity of control and less expensive of the system. The results are obtained using MATLAB show that the proposed modified PSO algorithm performs better than conventional PSO and is robust to different partial shading models.
A stable operation of wind turbines connected to the grid is an essential requirement to ensure the reliability and stability of the power system. To achieve such operational objective, installing static synchronous compensator static synchronous compensator (STATCOM) as a main compensation device guarantees the voltage stability enhancement of the wind farm connected to distribution network at different operating scenarios. STATCOM either supplies or absorbs reactive power in order to ensure the voltage profile within the standard-margins and to avoid turbine tripping, accordingly. This paper present new study that investigates the most suitable-location to install STATCOM in a distribution system connected wind farm to maintain the voltage-levels within the stability margins. For a large-scale squirrel cage induction generator squirrel-cage induction generator (SCIG-based) wind turbine system, the impact of STATCOM installation was tested in different places and voltage-levels in the distribution system. The proposed method effectiveness in enhancing the voltage profile and balancing the reactive power is validated, the results were repeated for different scenarios of expected contingencies. The voltage profile, power flow, and reactive power balance of the distribution system are observed using MATLAB/Simulink software.
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.
The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.
The document describes a proposed modified bridge-type nonsuperconducting fault current limiter (NSFCL) for distribution networks. The NSFCL consists of a bridge rectifier, two DC reactors (one small in series and one large in parallel), and an IGBT semiconductor switch controlled by a command circuit. During normal operation, the IGBT is on and the parallel reactor is bypassed, making the NSFCL invisible. During a fault, the IGBT turns off, inserting the parallel reactor to limit fault current. Simulation results showed the design effectively limits fault current while minimally affecting normal operation.
This paper provides a new approach to reducing high-order harmonics in 400 Hz inverter using a three-level neutral-point clamped (NPC) converter. A voltage control loop using the harmonic compensation combined with NPC clamping diode control technology. The capacitor voltage imbalance also causes harmonics in the output voltage. For 400 Hz inverter, maintain a balanced voltage between the two input (direct current) (DC) capacitors is difficult because the pulse width modulation (PWM) modulation frequency ratio is low compared to the frequency of the output voltage. A method of determining the current flowing into the capacitor to control the voltage on the two balanced capacitors to ensure fast response reversal is also given in this paper. The combination of a high-harmonic resonator controller and a neutral-point voltage controller working together on the 400 Hz NPC inverter structure is given in this paper.
Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.
More from International Journal of Power Electronics and Drive Systems (20)
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Cricket management system ptoject report.pdfKamal Acharya
The aim of this project is to provide the complete information of the National and
International statistics. The information is available country wise and player wise. By
entering the data of eachmatch, we can get all type of reports instantly, which will be
useful to call back history of each player. Also the team performance in each match can
be obtained. We can get a report on number of matches, wins and lost.
This is an overview of my career in Aircraft Design and Structures, which I am still trying to post on LinkedIn. Includes my BAE Systems Structural Test roles/ my BAE Systems key design roles and my current work on academic projects.
Covid Management System Project Report.pdfKamal Acharya
CoVID-19 sprang up in Wuhan China in November 2019 and was declared a pandemic by the in January 2020 World Health Organization (WHO). Like the Spanish flu of 1918 that claimed millions of lives, the COVID-19 has caused the demise of thousands with China, Italy, Spain, USA and India having the highest statistics on infection and mortality rates. Regardless of existing sophisticated technologies and medical science, the spread has continued to surge high. With this COVID-19 Management System, organizations can respond virtually to the COVID-19 pandemic and protect, educate and care for citizens in the community in a quick and effective manner. This comprehensive solution not only helps in containing the virus but also proactively empowers both citizens and care providers to minimize the spread of the virus through targeted strategies and education.
Sachpazis_Consolidation Settlement Calculation Program-The Python Code and th...Dr.Costas Sachpazis
Consolidation Settlement Calculation Program-The Python Code
By Professor Dr. Costas Sachpazis, Civil Engineer & Geologist
This program calculates the consolidation settlement for a foundation based on soil layer properties and foundation data. It allows users to input multiple soil layers and foundation characteristics to determine the total settlement.
2. ISSN: 2088-8694
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weakness of these research is that there have been no model that integrates two or more local energy sources
in real time with economical and low emission materials.
Although the studies on renewable energy have much developed, but no one has conducted a Real
Time Model Research on the Hybrid LFG-PV-Genset for tropical climate, and Bontang City is traversed by
the equator, which has the advantage that the CH4 methane gas content is higher as a producer of landfill gas.
This potential will be utilized in Bontang City since, geographically, it is located on the equator at 117°021’–
117º029’ E and 0°001’–0º011’ N with a potential solar radiation level of approximately 4,8 kW/m2/day [7]
the mitigate conversion of the resulted CH4 gas is 28.786.022 kwH per year [8]. In this model, the calibration
instruments used were the ampere clammeter, variable voltage regulator, thermometer, odalog 7000 series.
The instrument calibration is aimed to adjust the data resulted from the sensor measurement made in the Real
Time Model Hybrid LFG-PV-Genset with standard instruments by finding the correction factors [9], [10].
The purpose of this research is to design and to find out the deviation of sensor of the sensors calibration
measurement system of the Test of Real Time Model Hybrid Power Landfill-PC-Genset System in order to
find out the CH4, methane gas content, temperature, voltage and current in the calibration instruments.
2. CASE STUDY
2.1. The System of Schematic System
Figure 1. illustrates a schematic sequence of the systems of measurement, database and data
presentation. The measurement system is divided into 2 parts: the central measurement system and the
connecting measurement system. The central measurement system is photovoltaic side, landfill biogas site
and generator side genset. The connecting measurement system consists of 3 sensors of parameters, they are;
smart monitor & datalogger photovoltaic, smart & datalogger landfill biogas site and smart & datalogger
genset. The smart & datalogger photovoltaic consists of two sensors of current and voltage. The smart &
datalogger landfill biogass consists of three sensors; MQ4 methane detector sensor, current sensor and
voltage sensor. The smart & datalogger genset consists of two sensors; ac current sensor and ac voltage
sensor. These three smart & datalogger containing those sensors are connected to a signal conditioning circuit
that adjusts the sensor output to the arduino microcontroller input.
Figure 1. The schematic sequence of the system
2.2. Sensor
The sensors should be calibrated in the system where it will be used to achieve the best accuracy,
since there is no sensor is perfect, from the sample to sample of manufactured variations means that even
running two sensors from the same producer can result in slightly different readings. The difference in sensor
design means that two different sensors can respond differently under the same conditions [11]. It especially
applies in the 'indirect' sensors that calculate the measurements based on one or more actual measurements of
several different but related parameters. Another reason is that the sensor is only one component in the
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measurement system. For example, with an analog sensor, your ADC is a part of the measurement system
and also depends on the variability, the temperature measurement depends on the thermal gradient between
the sensor and the point of measurement.
2.2.1. MQ4 Methane Gas Sensor
The MQ4 sensor, as shown in Figure 2, is a gas sensor which has high sensitivity to combustible
gases, especially for CH4 methane gas, as well as to other gases, such as propane and butane. The MQ4
sensor has the SnO2 material that is sensitive to changes in combustible gas. This material has a low
conductivity when in the open air that does not contain combustible gas and has a higher conductivity when
there is a change in the concentration. The concentration of gas content that the MQ4 sensor can reach is 300-
10000 ppm [12].
Figure 2. MQ4 Sensor and Odalog7000 Calibration Tool
Figure 3. Characteristics of MQ4 sensor
In addition, Figure 3 represents the characteristics of the MQ-4 sensor sensitivity and the
characteristics of temperature and humidity dependence. The x-axis represents the gas concentration in ppm,
while the y-axis indicates the ratio of the specified sensor resistance, where Rs is the sensor resistance at a
certain concentration and Ro is the sensor resistance at 1000 ppm of methane gas in open air.
2.2.2. LM35 Temperature Sensor
Figure 4. LM35 sensor is a small-sized temperature sensor component such as a transistor (TO-92).
This very easy-to-use component is capable of measuring temperature up to 100 degree Celsius. The LM35
temperature sensor is an electronic component that has a function of converting the temperature to electrical
quantity unit in the form of voltage. The LM35 sensor has a high accuracy and easy in design compared to
other temperature sensors. It also has a low impedance output and high linearity, so that it can be easily
connected to a special control circuit and does not require advanced setup with a linear-scaled output voltage
with measured temperature, 10 millivolts per 1 degree celsius. Although this sensor voltage can reach 30
volts, but it has only 5 volts provided to the sensor, so it can be used in a single power supply provided that
the it only requires a current of 60 µA It means that the LM35 sensor has the ability to perform self-heating
from the sensor which can cause a low reading error of less than 0,5 ºC at 25 ºC.
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Figure 4. LM35 temperature sensor and temperature calibration tool
2.2.3. ZMPT101B Voltage Sensor
Figure 5. ZMPT101B Ultra Micro Voltage Transformer has a small size, high accuracy, good
consistency for voltage and power measurement.
2.2.4. Current Sensor
The measurement or electric current detection is one of the main parameters required in electricity.
For example, for the large current measurement, power measurement and protection parameter. Current
Transformer or CT is one of the instrumentation transformers which produces current in the secondary where
the magnitude suited to the ratio and the primary current.
Current Transformer generally consists of an iron core which is coiled by a conductor for hundred
times. The output of the secondary is usually 1 or 5 Amperes, indicated by the ratio owned by the CT. For
example, 100: 1, means that the CT secondary will have an output of 1 Ampere if the primary side is passed
by 100 ampere current. If the ratio is 400: 5, then the CT secondary will have an output of 5 Amperes if the
primary side is passed by 400 ampere current. This sensor is non-invasive, so that it can be used without
changing the wiring existing in advance. The procedure is that the induction coil that detects the changes of
magnetic field around the current-carrying conductor. By measuring the amount of current generated by the
coil, we can calculate the amount of current passing through the conductor. The following is the specification
of current sensor (Non-Invasive Current Transformer):
2.2.5. Mikrocontroller Arduino Mega 2560 Rev. 3
Arduino is both hardware and software of a microcontroller-based electronic circuit easily and
fastly. One of the Arduino boards is shown in Figure 6. More specifically, the microcontroller-based Arduino
board used is the Arduino Mega by using the ATMega Rev3 microcontroller. In terms of software, Arduino
IDE (Integrated Development Environment) is a useful tool for writing programs (specifically named sketch
in Arduino), compiling and simultaneously uploading them to the Arduino board. The basic Arduino
Programming Language is C/C++.
Figure 6. Current Sensor and temperature calibration tool
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The structure of the arduino mega 2560 is shown in the Figure 7. Especially for digital pins, every
pin is only assigned to handle one of the modes, which is either as the input or ouput. If it becomes an input,
the value on pin will be determined by the outsider and can be read through digitalRead() command. If it
becomes an output, the value on the pin is set by Arduino and can be determined by the digitalWrite()
command. The determination of a pin mode as input or output is determined by pinMode().
Figure 7. Arduino Mega 2560 (Rev 3)
3. DESIGN SYSTEM
3.1. Flowchart of The Processes of HPS LFG-PV-Genset Calibration Measurement
Figure 8 presents that the is input circuit consisting of four sensors; voltage sensor, current sensor,
temperature sensor and CH4 methane gas sensor which is the MQ4 sensor to read/measure the magnitude of
CH4 methane gas which has 1 pin input connected to pin A5, AC sensor of pin8 to analog A1 in arduino
microcontroller and voltage sensor to analog pin A2 in arduino microcontroller. Then, the arduino mega2560
rev3 ADC microcontroller transforms its value to the digital form. Therefore, the hardware design consisting
of arduino Mega R3 microcontroller, MQ4 sensor circuit and LCD circuit. This sensor circuit is the main
circuit in designing the smart datalogger biogas site.
Figure 8. Flowchart of the processes of HPS LFG-PV-genset calibration measurement
3.2. The Schematic Design of HPS LFG-PV-Genset Sensor
Figure 9 illustrates the hardware design consisting of arduino Mega R3 microcontroller, MQ4 sensor
circuit and LCD circuit. This circuit is in the smart datalogger biogas site. The input circuit consists of the
CH4 methane gas MQ4 sensor to read/measure the magnitude of CH4 methane gas which has 1 pin input
connected to pin A5, AC sensor of pin8 to analog A1 in arduino microcontroller and voltage sensor to analog
pin A2 in arduino microcontroller. Then, the arduino Mega2560 rev3 ADC microcontroller transforms its
value to the digital form. The microcontroller circuit used is Arduino Mega ADK Rev3 board-based
microcontroller by using ATmega2560 chip. This board has a lot of I/O pins; 54 digital I/O pins (15 pins of
which are PWM), 16 analog input pins, 4 UART pins (serial port hardware). The Arduino Mega 2560 is
equipped with a 16 Mhz oscillator, a USB port, DC power jack, ICSP header, and a reset button. This board
START
Power ON/OFF
Modul
Inisiasi SD
Card ?
LCD
B
Repeat Inisiasi
SD card ?
A
A
No
Yes
No
Yes
Main void
display
Take Time
Data RTC
Start
Recording
Data
Read Sensor
Value
Read Sensor
Voltage
Read
Sensor
Temperature
Reas Sensor
Current
Back to START
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is very complete. It already has everything needed for a microcontroller. With a fairly simple usage, it just
needs a connection to the power from the USB port to your PC or through the AC/DC adapter to the DC jack.
Figure 9. The schematic circuit of HPS LFG-PV-genset sensor
4. RESULTS
The results of the tool calibration test are as follows:
4.1. The Calibration Test of CH4 Methane Gas Sensor
The output value of the MQ4 sensor is in the form of resistance. In order to get the output of
voltage, it is given for a voltage divider circuit. The purpose of the measurement of MQ4 methane gas sensor
is to determine the value of ADC data on MQ4 sensor. The methane calibration using adalog7000 was
conducted at the exit point of the vessel and the ADC data output was then recycled using the Arduino port.
ADC data obtained from the measurement of the MQ4 methane gas sensor are shown in Table 1.
Table 1. The Results of Calibration of ADC Data of MQ4 Sensor
1 Sensor MQ4 Reading 58.75 58.75 58.75 58.75 58.74 58,72 58.71 58.69 58.66 58,65 58,64 58,63 58,62 58,62
2 Adalog7000 61 61 61 61 61 61 61 61 61 60 60 60 60 60
3 Deviation (%) 2.25 2.25 2.25 2.25 2.26 2.28 2.29 2.3 2.32 1.34 1.36 1.36 1.37 1.8
From the results of calibration test, the largest difference is obtained in the deviation of 2,28%, with
the smallest difference of 1,34%. The result of the experiment showed that the data acquisition system of
CH4 methane gas has an error of 1,91%. The value was obtained by summing up all error values of each test
divided by the number of tests (15 times).
4.2. The Calibration Test of LM35 Temperature Sensor Circuit
The test of LM35 sensor was conducting by providing 5 volts on the leg of Vcc sensor as the
activation, and then was measured for the output voltage. The value of output voltage was compared with the
temperature calibration value using solder variable supply with temperature display. The load used is using
incandescent lamp. The data resulted are as follows in Table 2.
Table 2. The results of calibration of ADC data of LM35 sensor
1 Sensor Reading 31,12 41,95 51,23 63 70,65 83 93,01 101,23 112,3 123,76
2 Temperature Solder 30 40 50 60 70 80 90 100 110 120
3 Thermometer 30,2 41,15 51,56 62,05 71 83,06 92,36 100,06 112 122,57
4 Deviation (A) 0,92 0,8 -0,33 0,95 -0,35 - 0,06 0,65 1,17 0,25 1,19
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From the data above, it can be seen that the output voltage of LM35 is linear with a change of 0.01
volts (10mV) for every either increase or decrease in temperature per 1C. The data shows the LM35
temperature sensor used in the system design is accurate in temperature readings. The output data of LM35
sensor are the analog data which will be converted to ADC digital data through microcontroller execution.
The result of experiment shows that the acquisition system of temperature data has an error of 0.519C, The
value was obtained by summing up all error values of each test divided by the number of tests (10 times).
Figure 10. The graphic of calibration of MQ sensor resulted from the proposed design
4.3. The Calibration Test of SCT 013 Non-Invasive Current Sensor Circuit
The working principle of this current sensor is to detect the magnetic field of the current wire with
IC Hall effect which is already integrated within. The amount of incoming current is proportional to the
magnitude of the generated magnetic field. Table 3 shows results of calibration of ADC data of SCT 013
sensor.
Table 3. The Results of Calibration of ADC Data of SCT 013 Sensor
1 Load (watt) 100 140 160 175 200 240 260 275 300 340
2 I multitester (A) 0,18 0,25 0,29 0,32 0,36 0,44 0,47 0,51 0,54 0,62
3 I Sensor Reading (A) 0.191 0,273 0,300 0,327 0,355 0,44 0,46 0.494 0,52 0,6
4 Deviation (A) -0,011 -0,023 -0,01 -0,007 0,005 0,003 0,008 0,012 0,02 0,019
SCT 013 Non-invasive current sensor test was conducted by providing 100 to 340 watts of load,
while the direct current output was observed data were obtained in Figure 11.
Figure 11. The graphic of calibration of SCT 013 non-invasive sensor from the proposed design
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The result of experiment shows that the acquisition system of current data has an error of 0.0022 A.
The value was obtained by summing up all error values of each test divided by the number of tests (10
times).
4.4. The Calibration Test of ZMPT101B Voltage Sensor Circuit
Figure 12 shows result of experiment shows that the acquisition system of current data has an error
of 1,499 V. The value was obtained by summing up all error values of each test divided by the number of
tests (28 times).
Figure 12. The graphic of calibration of ZMPT101B sensor from the proposed design
5. CONCLUSION
Based on the data and the results of the discussion conducted, the conclusions are as follows:
a. Based on the result of calibration test of Hybrid Landfill Gas-Solar-Genset Model, it is found that the
designed MQ4 sensor has an error value of 1,91%, and LM35 temperature sensor is able to monitor
temperature ranging from 30C to 120C and has an error value of 0,519C. ZMPT101B voltage sensor
has a linear output change to the input change and has an average error value of 1,499 V. While the SCT
013 current sensor has an average error value of 0,0022A.
b. From the calibration process, it can be concluded that the Hybrid Landfill Solar Cell Gas and Genset
Model has a good accuracy with small resolution, thus, this prototype can be used with a good real-time
reading result.
c. After assembling the DHT11 Temperature Sensor, Voltage Sensor and SCT 013 Current Sensor into
Arduino and connecting it to Power Supply, then connecting the Arduino to the computer through the
USB cable, the computer will detect the existence of Ardunio with the port it used.
ACKNOWLEDGEMENTS
The authors are thankfull to Prof. Dr. Dwia Aries Tina Pulubuhu , Rector Univercity of Hasuddin
Makassar and also Goverment of Bontang City for providing the necessary facilities for the preparation of the
paper
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BIOGRAPHIES OF AUTHORS
Salama Manjang He received his Doctor degrees in electronic and electrical engineering from
Institut Technology Bandung. Currently, he is a professor in the Department of Electrical
Engineering. He is currently the head of Department Electrical Engineering in Universitas
Hasanuddin Makassar. His current research interests include power energy and renewable energy
. Email: salamamanjang@unhas.ac.id
Sitti Hamnah Ahsan. Currently, she is pursuing a Doktor degree in Department Electrical
Engineering at Hasanuddin University Makassar. His research interests include renewable
energy, sensor networks and environment management system.