Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635655
L. Kaushik, P. Muthukumar
A large number of populations in developing countries still continue to use various forms of solid fuels as the primary energy source for cooking. Maintaining uninterrupted availability of fuel at an affordable price demands them to achieve Sustainable Development Goals (SDGs). In this paper, a comparative thermal performance assessment of Porous Kerosene Pressure Cookstove (PKPs) and Conventional Kerosene Pressure Cookstove (CKPs) are presented. The experiments are conducted by using two different, Waste Cooking Oil (WCO) and kerosene blends (BS1, 10/90: WCO/Kerosene by % volume) and BS2 (50/50)). Also, the impact of firing power (1.5-3 kW) on burner characteristics are established and compared for both the stoves. With fuel sample BS1, the measured thermal efficiency is found in the range of 51.2-44.8% and 43-33.3% for PKPs and CKPs, respectively. Whereas, the same is in the range of 45.3-37.8% and 36.2-28.6%, respectively, in case of BS2. Due to improved combustion in case of porous media burner (i.e. PKPs), a large reduction is found for CO and NOx emissions. The overall performance of PKPs shows WCO as a potential alternative source for cooking.
{"title":"Experimental Analysis of a Porous Radiant Pressurized Cook Stove by Using a Blend of Waste Cooking Oil (WCO) and Kerosene","authors":"L. Kaushik, P. Muthukumar","doi":"10.23919/ICUE-GESD.2018.8635655","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635655","url":null,"abstract":"A large number of populations in developing countries still continue to use various forms of solid fuels as the primary energy source for cooking. Maintaining uninterrupted availability of fuel at an affordable price demands them to achieve Sustainable Development Goals (SDGs). In this paper, a comparative thermal performance assessment of Porous Kerosene Pressure Cookstove (PKPs) and Conventional Kerosene Pressure Cookstove (CKPs) are presented. The experiments are conducted by using two different, Waste Cooking Oil (WCO) and kerosene blends (BS1, 10/90: WCO/Kerosene by % volume) and BS2 (50/50)). Also, the impact of firing power (1.5-3 kW) on burner characteristics are established and compared for both the stoves. With fuel sample BS1, the measured thermal efficiency is found in the range of 51.2-44.8% and 43-33.3% for PKPs and CKPs, respectively. Whereas, the same is in the range of 45.3-37.8% and 36.2-28.6%, respectively, in case of BS2. Due to improved combustion in case of porous media burner (i.e. PKPs), a large reduction is found for CO and NOx emissions. The overall performance of PKPs shows WCO as a potential alternative source for cooking.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87029172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635685
Panaya Sudta, Noppamate Weerachayapornkul, W. Ongsakul, J. Singh, Nikhil Sasidaran
Nowadays the rapid evolution of power systems leads electricity system transfer from centralized fossil fuel to decentralized distributed generation (DG). The distributed generation based on single phase wind turbine generator placement and sizing problem is formulated as a nonlinear integer optimization problem. Single phase wind turbine installation in distribution systems is beneficial and requires optimal placement and sizing of this DG. However, the addition of single-phase wind turbine can cause power quality problems such as over voltage levels and increasing of harmonic waveform. Hence, single phase wind turbine should be optimally located and rated taking the presence of power into account. The goal is to minimize the overall cost of total real power losses and maintain voltage level and power quality. The optimal single-phase wind turbine placement and sizing problem is tackled by particle swarm optimization (PSO). To include the presence of real power, the developed PSO is integrated with power distribution system. The modified IEEE 13-bus three phase unbalanced radial distribution system is used to validate effectiveness. This case study is implemented on MATLAB. The results present the necessity of including harmonics in optimal single-phase wind turbine placement and sizing to avoid any possible problems that occur with power quality issue.
{"title":"Optimal Placement and Sizing of DG Based on Single Phase Wind Turbine Generator in Distribution System","authors":"Panaya Sudta, Noppamate Weerachayapornkul, W. Ongsakul, J. Singh, Nikhil Sasidaran","doi":"10.23919/ICUE-GESD.2018.8635685","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635685","url":null,"abstract":"Nowadays the rapid evolution of power systems leads electricity system transfer from centralized fossil fuel to decentralized distributed generation (DG). The distributed generation based on single phase wind turbine generator placement and sizing problem is formulated as a nonlinear integer optimization problem. Single phase wind turbine installation in distribution systems is beneficial and requires optimal placement and sizing of this DG. However, the addition of single-phase wind turbine can cause power quality problems such as over voltage levels and increasing of harmonic waveform. Hence, single phase wind turbine should be optimally located and rated taking the presence of power into account. The goal is to minimize the overall cost of total real power losses and maintain voltage level and power quality. The optimal single-phase wind turbine placement and sizing problem is tackled by particle swarm optimization (PSO). To include the presence of real power, the developed PSO is integrated with power distribution system. The modified IEEE 13-bus three phase unbalanced radial distribution system is used to validate effectiveness. This case study is implemented on MATLAB. The results present the necessity of including harmonics in optimal single-phase wind turbine placement and sizing to avoid any possible problems that occur with power quality issue.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"25 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91080971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635691
G. Hirst
Biochar is produced by direct thermal decomposition of biomass in the absence or restriction of oxygen (preventing combustion), a process known as pyrolysis. This produces high-carbon, fine-grained charcoal like substance. Biochar is promoted primarily as a soil amendment and has the potential to dramatically increase crop yields.In addition to this, it offers numerous environmental benefits including:•GHG reduction in both from the supply (production) and demand (application), through carbon sequestration•Adsorption of soil toxins•Improved soil health by increasing organic matter (SOM)•Resolving localized biomass waste issuesWith the potential of increased crop yields and multitude of environmental benefits, biochar application would appear to be an obvious agricultural practice, however, it has still to create traction as a viable agricultural system. This is due, in part, to the large dosage rates required and consequently higher application costs when compared with the use of synthetic fertilizers. A plausible resolution to this is through technology adaption, specifically the development of ‘low dose, high-efficiency biochar fertilizers’, based on nano-structures and soluble components. The rationale behind of these biochar-based fertilizers is to increase the redox potential (Eh), by reducing from a mineral into a biochar substrate. The concept is that Eh and pH are respectively and jointly major drivers of soil/plant/microorganism systems.
{"title":"Practical Application of Biochar Fertilizer for Use in Rice Cultivation. ‘One Ton per Rai Ɨ’ Experiment in Eastern Thailand","authors":"G. Hirst","doi":"10.23919/ICUE-GESD.2018.8635691","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635691","url":null,"abstract":"Biochar is produced by direct thermal decomposition of biomass in the absence or restriction of oxygen (preventing combustion), a process known as pyrolysis. This produces high-carbon, fine-grained charcoal like substance. Biochar is promoted primarily as a soil amendment and has the potential to dramatically increase crop yields.In addition to this, it offers numerous environmental benefits including:•GHG reduction in both from the supply (production) and demand (application), through carbon sequestration•Adsorption of soil toxins•Improved soil health by increasing organic matter (SOM)•Resolving localized biomass waste issuesWith the potential of increased crop yields and multitude of environmental benefits, biochar application would appear to be an obvious agricultural practice, however, it has still to create traction as a viable agricultural system. This is due, in part, to the large dosage rates required and consequently higher application costs when compared with the use of synthetic fertilizers. A plausible resolution to this is through technology adaption, specifically the development of ‘low dose, high-efficiency biochar fertilizers’, based on nano-structures and soluble components. The rationale behind of these biochar-based fertilizers is to increase the redox potential (Eh), by reducing from a mineral into a biochar substrate. The concept is that Eh and pH are respectively and jointly major drivers of soil/plant/microorganism systems.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"141 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74843402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635790
Y. Hwang, M. Z. Ibrahim, A. Ahmed, A. Albani
The major issues on the wind measurement campaign are the data measured in a short period and the occurrence of missing data due to the failure of the measurement instrument. Meanwhile, Measure-Correlate-Predict (MCP) method had widely been used to predict the long-term condition and missing data at the measurement site based on nearest Malaysian Meteorological Department (MMD), Meteorological Aerodrome Report (METAR) and extended Climate Forecast System Reanalysis (ECFSR) data. In this research, the long-term wind data at selected potential sites in Malaysia were predicted by optimized Artificial Neural Networks (ANNs). The Genetic Algorithm (GA) was applied to optimize the ANN. Five different ANN MCP models had been designed based on different types of reference data and different temporal scales to predict wind data at three target sites. Weibull frequency distributions and RMSE examined predicted wind data. The prediction of ANN had been improved in between 20.562% to 113.573% by GA optimization. The best R-value obtained from optimization were affected the Weibull shape and scale of predicted data. At last, the result revealed that the optimized ANN model could predict the long-term data for the target site with better accuracy.
{"title":"An Optimized ANN Measure-Correlate-Predict Method for Long-term Wind Prediction in Malaysia","authors":"Y. Hwang, M. Z. Ibrahim, A. Ahmed, A. Albani","doi":"10.23919/ICUE-GESD.2018.8635790","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635790","url":null,"abstract":"The major issues on the wind measurement campaign are the data measured in a short period and the occurrence of missing data due to the failure of the measurement instrument. Meanwhile, Measure-Correlate-Predict (MCP) method had widely been used to predict the long-term condition and missing data at the measurement site based on nearest Malaysian Meteorological Department (MMD), Meteorological Aerodrome Report (METAR) and extended Climate Forecast System Reanalysis (ECFSR) data. In this research, the long-term wind data at selected potential sites in Malaysia were predicted by optimized Artificial Neural Networks (ANNs). The Genetic Algorithm (GA) was applied to optimize the ANN. Five different ANN MCP models had been designed based on different types of reference data and different temporal scales to predict wind data at three target sites. Weibull frequency distributions and RMSE examined predicted wind data. The prediction of ANN had been improved in between 20.562% to 113.573% by GA optimization. The best R-value obtained from optimization were affected the Weibull shape and scale of predicted data. At last, the result revealed that the optimized ANN model could predict the long-term data for the target site with better accuracy.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"15 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84294054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635668
Raghavender D. Goud, Tony Auditore, R. Rayudu, C. Moore
A safe and reliable grounding system plays a critical role in the design of an effective lightning protection system of a wind turbine generator. An accurate design of grounding electrodes is required to achieve the necessary low impedance of a wind turbine generator earthing system. IEC 61400-24 provides guidelines for selecting the minimum length of an earth electrode, however, this standard cannot be utilized for all types of electrode shapes and buried depths. Moreover, it is important to address the frequency dependency of soil resistivity for the selection of electrode length. This paper proposes a novel method enhancing the IEC 61400-24 standard method. Also, a thorough analysis of existing method with suitable recommendations for the selection of electrode length for various dimension and buried depth to address the frequency dependency issue has been provided. Finally, guidelines for the selection of electrode length for the wind turbine grounding design from the lightning protection view point are proposed.
{"title":"A Proposed Method for Calculating Earth Electrode Length for a Wind Turbine Generator Grounding System","authors":"Raghavender D. Goud, Tony Auditore, R. Rayudu, C. Moore","doi":"10.23919/ICUE-GESD.2018.8635668","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635668","url":null,"abstract":"A safe and reliable grounding system plays a critical role in the design of an effective lightning protection system of a wind turbine generator. An accurate design of grounding electrodes is required to achieve the necessary low impedance of a wind turbine generator earthing system. IEC 61400-24 provides guidelines for selecting the minimum length of an earth electrode, however, this standard cannot be utilized for all types of electrode shapes and buried depths. Moreover, it is important to address the frequency dependency of soil resistivity for the selection of electrode length. This paper proposes a novel method enhancing the IEC 61400-24 standard method. Also, a thorough analysis of existing method with suitable recommendations for the selection of electrode length for various dimension and buried depth to address the frequency dependency issue has been provided. Finally, guidelines for the selection of electrode length for the wind turbine grounding design from the lightning protection view point are proposed.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82311669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635788
Jesbains Kaur, Nurfatihah Jamil, S. Shahabuddin, A. Pandey, R. Saidur, Fitwi Yohaness, Baljit Singh
Phase change materials (PCMs) are the excellent option used to store thermal energy as latent heat which substantially contribute to the efficient use and conservation of waste heat and solar energy. There are very few studies on nano enhanced inorganic PCM especially calcium chloride hexahydrate. Therefore, the aim of this paper is to examine the effects of graphene on the microstructural and thermal properties of calcium chloride hexahydrate. The thermal conductivity and morphology of pure PCM and nanoenhanced graphene PCM was investigated using Field emission scanning electron microscope (FESEM), Transmission electron microscope (TEM), 3D Laser microscope (LEXT), KD2 Pro thermal property analyser and Differential scanning calorimeter (DSC) methods. From the microstructural observation, a sharp single lattice fringe proved that graphene has uniformly dispersed with PCM and removed the stacking effect and agglomeration. The thermal conductivity and increased by 20% when 2wt% of graphene were mixed with calcium chloride hexahydrate. This nanoenhanced PCM is suitable for energy storage in solar thermal and photovoltaic thermal applications.
{"title":"The Effects of Graphene on Microstructural and Thermal Properties of Calcium Chloride Hexahydrate PCM","authors":"Jesbains Kaur, Nurfatihah Jamil, S. Shahabuddin, A. Pandey, R. Saidur, Fitwi Yohaness, Baljit Singh","doi":"10.23919/ICUE-GESD.2018.8635788","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635788","url":null,"abstract":"Phase change materials (PCMs) are the excellent option used to store thermal energy as latent heat which substantially contribute to the efficient use and conservation of waste heat and solar energy. There are very few studies on nano enhanced inorganic PCM especially calcium chloride hexahydrate. Therefore, the aim of this paper is to examine the effects of graphene on the microstructural and thermal properties of calcium chloride hexahydrate. The thermal conductivity and morphology of pure PCM and nanoenhanced graphene PCM was investigated using Field emission scanning electron microscope (FESEM), Transmission electron microscope (TEM), 3D Laser microscope (LEXT), KD2 Pro thermal property analyser and Differential scanning calorimeter (DSC) methods. From the microstructural observation, a sharp single lattice fringe proved that graphene has uniformly dispersed with PCM and removed the stacking effect and agglomeration. The thermal conductivity and increased by 20% when 2wt% of graphene were mixed with calcium chloride hexahydrate. This nanoenhanced PCM is suitable for energy storage in solar thermal and photovoltaic thermal applications.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"98 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90717366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635681
X. Zhang, Manisa Pippatanasomporn, S. Rahman
Due to the stochastic nature of renewable generation, power system planning with high penetration of renewables is challenging. Analyzing the influence of renewable energy variability on system reliability is of crucial importance in power system planning. There are two well-known approaches in incorporating renewable generation: the negative load approach and the multi-state generation approach. The objective of this study is to review the performance of these two methods in quantifying system reliability. Both pros and cons of each method are discussed based on experiments conducted using public data for both wind and solar power generation. Reliability indices are quantified using these two representations of renewable generation. In addition, this paper analyzes how representative a single-year renewable generation profile is, by comparing the reliability indices using multiple-year renewable energy data.
{"title":"A Comprehensive Analysis of Renewable Energy Representations in Power System Generation Expansion Planning","authors":"X. Zhang, Manisa Pippatanasomporn, S. Rahman","doi":"10.23919/ICUE-GESD.2018.8635681","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635681","url":null,"abstract":"Due to the stochastic nature of renewable generation, power system planning with high penetration of renewables is challenging. Analyzing the influence of renewable energy variability on system reliability is of crucial importance in power system planning. There are two well-known approaches in incorporating renewable generation: the negative load approach and the multi-state generation approach. The objective of this study is to review the performance of these two methods in quantifying system reliability. Both pros and cons of each method are discussed based on experiments conducted using public data for both wind and solar power generation. Reliability indices are quantified using these two representations of renewable generation. In addition, this paper analyzes how representative a single-year renewable generation profile is, by comparing the reliability indices using multiple-year renewable energy data.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"87 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90479483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635775
W. Muangjai, Phiched Thanin, W. Jantee, Montri Ngaodet, Narong Nantakusol
This paper presents an Internet of Things (IoT) communication to energy meter via Modbus protocol for analysis of specific energy consumption (SEC) parameters of ready-to-drink fruit juice production lines in The Second Royal Factory Mae Chan. SEC is a measure of energy efficiency at the output level by measuring the amount of energy used relative to the weight of the unit of physical output. So, use index values specific energy consumption it reflects the efficiency and cost of energy. The part of the production line represents the energy consumption per product. In order to introduce this principle into energy management in the production line of ready-to-drink fruit juice production lines with high power consumption, the analysis starts with indexing the electricity consumption of the plant according to the power consumption in the production line significant to the power consumption in the form of energy consumption indexes on the weight of the product obtained using IoT and the weight of the product.Based on the data analysis, the energy consumption index of the ready-to-drink fruit juice line was similar, and the trend was higher than that of other product lines. It shows that the ready-to-drink fruit juice line has higher electricity costs than other production lines. Based on index usage data, the energy can be used to manage energy costs and improve efficiency the energy of Ready-to-Drink Juice Line of The Second Royal Factory Mae Chan.
{"title":"An Apply IoT for Collection and Analysis of Specific Energy Consumption in Production Line of Ready-to-Drink Juice at the Second Royal Factory Mae Chan","authors":"W. Muangjai, Phiched Thanin, W. Jantee, Montri Ngaodet, Narong Nantakusol","doi":"10.23919/ICUE-GESD.2018.8635775","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635775","url":null,"abstract":"This paper presents an Internet of Things (IoT) communication to energy meter via Modbus protocol for analysis of specific energy consumption (SEC) parameters of ready-to-drink fruit juice production lines in The Second Royal Factory Mae Chan. SEC is a measure of energy efficiency at the output level by measuring the amount of energy used relative to the weight of the unit of physical output. So, use index values specific energy consumption it reflects the efficiency and cost of energy. The part of the production line represents the energy consumption per product. In order to introduce this principle into energy management in the production line of ready-to-drink fruit juice production lines with high power consumption, the analysis starts with indexing the electricity consumption of the plant according to the power consumption in the production line significant to the power consumption in the form of energy consumption indexes on the weight of the product obtained using IoT and the weight of the product.Based on the data analysis, the energy consumption index of the ready-to-drink fruit juice line was similar, and the trend was higher than that of other product lines. It shows that the ready-to-drink fruit juice line has higher electricity costs than other production lines. Based on index usage data, the energy can be used to manage energy costs and improve efficiency the energy of Ready-to-Drink Juice Line of The Second Royal Factory Mae Chan.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"37 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89648680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635710
Darshni M. Shukla, N. Zaveri
In this paper, a photovoltaic (PV) array based three-level cascaded H-bridge multilevel inverter (CHBMLI) incorporated with shunt active filter (SAPF) is proposed. Inverter is modulated by space vector modulation technique. The entire system is used for power conditioning application to improve the power quality in the distribution network. The photovoltaic based CHBMLIs are very attractive solution for the distributed generation nowadays. Because this inverter has isolated dc source on the dc side of each H-bridge. The compensation strategy proposed is based on the PQ theory. The simulation results presented in this paper proves the compensation capabilities of the proposed system. The simulation studies are carried out under MATLAB Simulink environment.
{"title":"Simulation of SVPWM Based 3-level H-bridge Inverter Used in Grid Connected PV System","authors":"Darshni M. Shukla, N. Zaveri","doi":"10.23919/ICUE-GESD.2018.8635710","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635710","url":null,"abstract":"In this paper, a photovoltaic (PV) array based three-level cascaded H-bridge multilevel inverter (CHBMLI) incorporated with shunt active filter (SAPF) is proposed. Inverter is modulated by space vector modulation technique. The entire system is used for power conditioning application to improve the power quality in the distribution network. The photovoltaic based CHBMLIs are very attractive solution for the distributed generation nowadays. Because this inverter has isolated dc source on the dc side of each H-bridge. The compensation strategy proposed is based on the PQ theory. The simulation results presented in this paper proves the compensation capabilities of the proposed system. The simulation studies are carried out under MATLAB Simulink environment.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85920152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635683
L. Ouhsiane, M. Siroux, M. Ganaoui, A. Mimet
Hybrid photovoltaic/thermal PV/T solar systems are used to convert solar energy into electricity and heat power. The integration of photovoltaic modules with thermals collectors can produce higher temperatures in the photovoltaic module and decrease the efficiency of PVT collectors. Thus, the optimization of hybrid PV / T panels is necessary to improve the overall efficiency of the system. In this work, a mathematical model, describing the thermal, electrical and mechanical flow is developed to predict the variables of the system. Then a multiobjective optimization based on a genetic algorithm (NSGA-II) is applied for an air-based hybrid PV/T panel to improve the efficiency of the system.
{"title":"Multi-Objective Optimization of Hybrid PVT Solar Panels","authors":"L. Ouhsiane, M. Siroux, M. Ganaoui, A. Mimet","doi":"10.23919/ICUE-GESD.2018.8635683","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635683","url":null,"abstract":"Hybrid photovoltaic/thermal PV/T solar systems are used to convert solar energy into electricity and heat power. The integration of photovoltaic modules with thermals collectors can produce higher temperatures in the photovoltaic module and decrease the efficiency of PVT collectors. Thus, the optimization of hybrid PV / T panels is necessary to improve the overall efficiency of the system. In this work, a mathematical model, describing the thermal, electrical and mechanical flow is developed to predict the variables of the system. Then a multiobjective optimization based on a genetic algorithm (NSGA-II) is applied for an air-based hybrid PV/T panel to improve the efficiency of the system.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79547464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：