Abstract The output of Solar Panels is directly dependent on the intensity of direct Sunlight that is incident on the panels. But this efficiency reduces due to shadow effects for rooftop-mounted panels. These shadows can come from other solar panels, nearby buildings, or high-rise structures. It is possible to optimize Maximum Power Point Tracker (MPPT) controllers, which draw the most power possible from PV modules by forcing them to function at the most efficient voltage to increase the output of solar panels even while they are in the shade. Thus, the MPPT analyses the output of the PV module, compares it to the voltage of the battery, and determines the best power the PV module can provide to charge the battery. It then converts that power to the optimum voltage to allow the battery to receive the maximum level of currents. Additionally, it can power a DC load linked directly to the battery. Existing shadow detection and MPPT control models are highly complex, which increases their computational requirements, thereby reducing the operating efficiency of the solar panels. This text discusses a novel Saliency Map-based low-complexity shadow detection model for Solar panels to overcome this issue. The proposed model initially extracts saliency maps from connected Solar panel configurations and evaluates the background for the presence of shadows. Based on the intensity shadows, the model tunes MPPT parameters for optimal voltage & current outputs. Due to this, the model can maximize Solar panel output by over 8.5%, even under shadows, making it useful for various real-time use cases.
{"title":"Design of an efficient MPPT optimization model via accurate shadow detection for solar photovoltaic","authors":"S. R. Hole, Agam Das Goswami","doi":"10.1515/ehs-2022-0151","DOIUrl":"https://doi.org/10.1515/ehs-2022-0151","url":null,"abstract":"Abstract The output of Solar Panels is directly dependent on the intensity of direct Sunlight that is incident on the panels. But this efficiency reduces due to shadow effects for rooftop-mounted panels. These shadows can come from other solar panels, nearby buildings, or high-rise structures. It is possible to optimize Maximum Power Point Tracker (MPPT) controllers, which draw the most power possible from PV modules by forcing them to function at the most efficient voltage to increase the output of solar panels even while they are in the shade. Thus, the MPPT analyses the output of the PV module, compares it to the voltage of the battery, and determines the best power the PV module can provide to charge the battery. It then converts that power to the optimum voltage to allow the battery to receive the maximum level of currents. Additionally, it can power a DC load linked directly to the battery. Existing shadow detection and MPPT control models are highly complex, which increases their computational requirements, thereby reducing the operating efficiency of the solar panels. This text discusses a novel Saliency Map-based low-complexity shadow detection model for Solar panels to overcome this issue. The proposed model initially extracts saliency maps from connected Solar panel configurations and evaluates the background for the presence of shadows. Based on the intensity shadows, the model tunes MPPT parameters for optimal voltage & current outputs. Due to this, the model can maximize Solar panel output by over 8.5%, even under shadows, making it useful for various real-time use cases.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"121 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72370831","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}
Abstract The major power quality issues in grid are voltage fluctuations and harmonics. For better power quality of the power system during disturbances on the grid, the UPQC device is utilized to maintain voltage magnitude and reduced harmonics. At the DC link of UPQC along with the capacitor, a renewable PV source is connected which contributes in voltage compensation by the series VSC and harmonics compensation by the shunt VSC. For stable DC voltage generation from PV source a modified P&O MPPT with DC reference is included controlling the boost converter connected to PV source. The controllers of VSCs are operated by feedback loop synchronized schematics with voltage reference generation in series VSC control and current reference generation in shunt VSC control. The shunt control is updated with hybrid Fuzzy-PI controller replacing the traditional PI controller further improving the power quality of the grid. The hybrid Fuzzy-PI varies the K p and K i gains as per the error generated by the DC voltage comparison concerning 25 rule-base for each gain. A comparative performance analysis is done with both the controllers in the shunt converter and the results are generated using MATLAB Simulink software.
{"title":"Fuzzy induced controller for optimal power quality improvement with PVA connected UPQC","authors":"Ravada Simhachalam, Agam Das Goswami","doi":"10.1515/ehs-2022-0146","DOIUrl":"https://doi.org/10.1515/ehs-2022-0146","url":null,"abstract":"Abstract The major power quality issues in grid are voltage fluctuations and harmonics. For better power quality of the power system during disturbances on the grid, the UPQC device is utilized to maintain voltage magnitude and reduced harmonics. At the DC link of UPQC along with the capacitor, a renewable PV source is connected which contributes in voltage compensation by the series VSC and harmonics compensation by the shunt VSC. For stable DC voltage generation from PV source a modified P&O MPPT with DC reference is included controlling the boost converter connected to PV source. The controllers of VSCs are operated by feedback loop synchronized schematics with voltage reference generation in series VSC control and current reference generation in shunt VSC control. The shunt control is updated with hybrid Fuzzy-PI controller replacing the traditional PI controller further improving the power quality of the grid. The hybrid Fuzzy-PI varies the K p and K i gains as per the error generated by the DC voltage comparison concerning 25 rule-base for each gain. A comparative performance analysis is done with both the controllers in the shunt converter and the results are generated using MATLAB Simulink software.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89723942","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}
Abstract Solar power and photovoltaic (PV) systems have become crucial components of the world’s energy portfolio. The PV systems may be engineered in a number of ways, including off-grid, on-grid, and tracking. Incorporating PV systems with traditional sources of power like diesel generators (DGs) or other renewable sources, like windmills, is possible. In this situation, developers, investigators, and experts are striving to create the best design that accommodates the load demand in regards to technological, financial, ecological, and social aspects. To assist in figuring out the best PV size and design, numerous tools, models, and heuristics were created and rolled out. The majority of the tools, models, and techniques used to build PV systems over the past 70 years were described, assessed, and evaluated in this article. It was observed that methods for optimising PV system designs evolved with time and demand. Tool design is often divided into segments such as artificial and classical, solo and hybrid approaches, and others. Hybrid approaches, nevertheless, gained prominence to become the most popular approach because of its adaptability and capacity for handling challenging issues. This paper’s evaluation also helps the readers choose a PV system design tool (approximately 46) that is suited for their needs.
{"title":"A strategic review: the role of commercially available tools for planning, modelling, optimization, and performance measurement of photovoltaic systems","authors":"A. A. Khan, A. Minai","doi":"10.1515/ehs-2022-0157","DOIUrl":"https://doi.org/10.1515/ehs-2022-0157","url":null,"abstract":"Abstract Solar power and photovoltaic (PV) systems have become crucial components of the world’s energy portfolio. The PV systems may be engineered in a number of ways, including off-grid, on-grid, and tracking. Incorporating PV systems with traditional sources of power like diesel generators (DGs) or other renewable sources, like windmills, is possible. In this situation, developers, investigators, and experts are striving to create the best design that accommodates the load demand in regards to technological, financial, ecological, and social aspects. To assist in figuring out the best PV size and design, numerous tools, models, and heuristics were created and rolled out. The majority of the tools, models, and techniques used to build PV systems over the past 70 years were described, assessed, and evaluated in this article. It was observed that methods for optimising PV system designs evolved with time and demand. Tool design is often divided into segments such as artificial and classical, solo and hybrid approaches, and others. Hybrid approaches, nevertheless, gained prominence to become the most popular approach because of its adaptability and capacity for handling challenging issues. This paper’s evaluation also helps the readers choose a PV system design tool (approximately 46) that is suited for their needs.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84395228","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}
R. Gugulothu, N. Sanke, Naga Sarada Somanchi, Vikas Normalla, F. Akter, B. Sunil
Abstract This numerical investigation is made to estimate the effect of Al2O3 and Cu nanofluids on heat transfer rate, friction factor and thermal performance factor of a shell and tube heat exchanger. Mass flow rates of shell side (water) fluid are varied. Water based nanofluids are used inside the tubes with 0.01, 0.03, and 0.05% volume concentrations of Al2O3 and Cu nanofluids. Nusselt number obtained from the present investigation is compared with Dittus–Bolter equation and Pongjet Pomvonge et al. and found to be in good agreement with a maximum deviation of 3%. The Nusselt number of the dispersed nanofluids increased with the increase of nanofluids volume concentrations and shell side mass flow rate. In this study, maximum enhancement in Nusselt number is 7.50%, 8.65%, and 9.61% for Al2O3, and 1.46%, 2.23%, and 3.18% for Cu nanofluid respectively at 0.01, 0.03, and 0.05% volume concentrations were compared to base fluid as water. Friction factor is highest by 58.00% at 0.05% volume concentration of Cu/H2O nanofluid when relate to Al2O3/H2O nanofluid. Thermal Enhancement factor achieved is highest for Al2O3/H2O nanofluid.
{"title":"A numerical study of water based nanofluids in shell and tube heat exchanger","authors":"R. Gugulothu, N. Sanke, Naga Sarada Somanchi, Vikas Normalla, F. Akter, B. Sunil","doi":"10.1515/ehs-2022-0155","DOIUrl":"https://doi.org/10.1515/ehs-2022-0155","url":null,"abstract":"Abstract This numerical investigation is made to estimate the effect of Al2O3 and Cu nanofluids on heat transfer rate, friction factor and thermal performance factor of a shell and tube heat exchanger. Mass flow rates of shell side (water) fluid are varied. Water based nanofluids are used inside the tubes with 0.01, 0.03, and 0.05% volume concentrations of Al2O3 and Cu nanofluids. Nusselt number obtained from the present investigation is compared with Dittus–Bolter equation and Pongjet Pomvonge et al. and found to be in good agreement with a maximum deviation of 3%. The Nusselt number of the dispersed nanofluids increased with the increase of nanofluids volume concentrations and shell side mass flow rate. In this study, maximum enhancement in Nusselt number is 7.50%, 8.65%, and 9.61% for Al2O3, and 1.46%, 2.23%, and 3.18% for Cu nanofluid respectively at 0.01, 0.03, and 0.05% volume concentrations were compared to base fluid as water. Friction factor is highest by 58.00% at 0.05% volume concentration of Cu/H2O nanofluid when relate to Al2O3/H2O nanofluid. Thermal Enhancement factor achieved is highest for Al2O3/H2O nanofluid.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88520491","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}
Abstract Due to greenhouse gas emissions and the energy crisis, the conventional way of generation of electricity using fossil fuels is being substituted with Renewable Energy Sources (RES) like solar photovoltaics (SPV), fuel cells, wind, etc. The voltage produced by RES is very small in magnitude; therefore, the choice of DC–DC converter is critical for regulating and improving the output of RES to its maximum level. To meet the power requirement for the utility grid and electric vehicles (EV), the voltage must be enhanced. So far, various types of high-gain DC–DC boost converter (HG-BC) topologies have been suggested. An overview of HG-BC topologies for RES and EV applications is presented in this paper, which provides a unique, extensive, perceptive, and comparative analysis of HG-BC topologies. The mathematical modeling and operating principles of each converter topology have been analyzed and discussed. The boost factor (B) and component count for various HG-BC are thoroughly compared for a 0.5 duty cycle using the MATLAB/Simulink tool.
{"title":"Comparative assessment of high gain boost converters for renewable energy sources and electrical vehicle applications","authors":"J. Veerabhadra, S. Nagaraja Rao","doi":"10.1515/ehs-2022-0144","DOIUrl":"https://doi.org/10.1515/ehs-2022-0144","url":null,"abstract":"Abstract Due to greenhouse gas emissions and the energy crisis, the conventional way of generation of electricity using fossil fuels is being substituted with Renewable Energy Sources (RES) like solar photovoltaics (SPV), fuel cells, wind, etc. The voltage produced by RES is very small in magnitude; therefore, the choice of DC–DC converter is critical for regulating and improving the output of RES to its maximum level. To meet the power requirement for the utility grid and electric vehicles (EV), the voltage must be enhanced. So far, various types of high-gain DC–DC boost converter (HG-BC) topologies have been suggested. An overview of HG-BC topologies for RES and EV applications is presented in this paper, which provides a unique, extensive, perceptive, and comparative analysis of HG-BC topologies. The mathematical modeling and operating principles of each converter topology have been analyzed and discussed. The boost factor (B) and component count for various HG-BC are thoroughly compared for a 0.5 duty cycle using the MATLAB/Simulink tool.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"39 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90467166","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}
Q. Hassan, Majid K. Abbas, V. S. Tabar, S. Tohidi, A. Z. Sameen, H. M. Salman
Abstract The study provided a techno-economic optimization technique for acquiring the ideal battery storage capacity in conjunction with a solar array capable of meeting the desired residential load with high levels of self-sufficiency. Moreover, the viability of a proposed photovoltaic battery system was evaluated. With a resolution of one minute, the annual energy consumption, irradiance, and ambient temperature for 2021 have been measured. Simulations of a stationary economic model are run from 2021 to 2030. Based on the experimental evaluation of the annual energy consumption, which was 3755.8 kWh, the study reveals that the photovoltaic array with a capacity of 2.7 kWp is capable of producing an annual energy production of 4295.5 kWh. The optimal battery capacity determined was 14.5 kWh, which can satisfy 90.2% of self-consumption at the cost of energy $0.25/kWh. Additionally, two third-order polynomial relationships between self-consumption and net present costs and energy cost were established.
{"title":"Techno-economic assessment of battery storage with photovoltaics for maximum self-consumption","authors":"Q. Hassan, Majid K. Abbas, V. S. Tabar, S. Tohidi, A. Z. Sameen, H. M. Salman","doi":"10.1515/ehs-2022-0050","DOIUrl":"https://doi.org/10.1515/ehs-2022-0050","url":null,"abstract":"Abstract The study provided a techno-economic optimization technique for acquiring the ideal battery storage capacity in conjunction with a solar array capable of meeting the desired residential load with high levels of self-sufficiency. Moreover, the viability of a proposed photovoltaic battery system was evaluated. With a resolution of one minute, the annual energy consumption, irradiance, and ambient temperature for 2021 have been measured. Simulations of a stationary economic model are run from 2021 to 2030. Based on the experimental evaluation of the annual energy consumption, which was 3755.8 kWh, the study reveals that the photovoltaic array with a capacity of 2.7 kWp is capable of producing an annual energy production of 4295.5 kWh. The optimal battery capacity determined was 14.5 kWh, which can satisfy 90.2% of self-consumption at the cost of energy $0.25/kWh. Additionally, two third-order polynomial relationships between self-consumption and net present costs and energy cost were established.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89181103","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}
Q. Hassan, V. S. Tabar, A. Z. Sameen, H. M. Salman, M. Jaszczur
Abstract The study examines the methods for producing hydrogen using solar energy as a catalyst. The two commonly recognised categories of processes are direct and indirect. Due to the indirect processes low efficiency, excessive heat dissipation, and dearth of readily available heat-resistant materials, they are ranked lower than the direct procedures despite the direct procedures superior thermal performance. Electrolysis, bio photosynthesis, and thermoelectric photodegradation are a few examples of indirect approaches. It appears that indirect approaches have certain advantages. The heterogeneous photocatalytic process minimises the quantity of emissions released into the environment; thermochemical reactions stand out for having low energy requirements due to the high temperatures generated; and electrolysis is efficient while having very little pollution created. Electrolysis has the highest exergy and energy efficiency when compared to other methods of creating hydrogen, according to the evaluation.
{"title":"A review of green hydrogen production based on solar energy; techniques and methods","authors":"Q. Hassan, V. S. Tabar, A. Z. Sameen, H. M. Salman, M. Jaszczur","doi":"10.1515/ehs-2022-0134","DOIUrl":"https://doi.org/10.1515/ehs-2022-0134","url":null,"abstract":"Abstract The study examines the methods for producing hydrogen using solar energy as a catalyst. The two commonly recognised categories of processes are direct and indirect. Due to the indirect processes low efficiency, excessive heat dissipation, and dearth of readily available heat-resistant materials, they are ranked lower than the direct procedures despite the direct procedures superior thermal performance. Electrolysis, bio photosynthesis, and thermoelectric photodegradation are a few examples of indirect approaches. It appears that indirect approaches have certain advantages. The heterogeneous photocatalytic process minimises the quantity of emissions released into the environment; thermochemical reactions stand out for having low energy requirements due to the high temperatures generated; and electrolysis is efficient while having very little pollution created. Electrolysis has the highest exergy and energy efficiency when compared to other methods of creating hydrogen, according to the evaluation.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74235559","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}
Abstract Solar energy is an important power source. Given this, the development in the direction of converting solar radiation into electrical energy using holographic concentrators is of great importance. The purpose of the study is to determine the electrical characteristics of the solar cell inside the solar cells. To determine the electrical characteristics of the solar cell inside the photovoltaic panel, digital sensors HC-SR04, INA219 and the “Arduino Nano” microprocessor controller were used. The paper presents the results of experimental studies of a solar panel with a holographic concentrator and photovoltaic cells based on gallium arsenide. The high efficiency of converting solar energy into electrical power is shown when dispersing and focusing different wavelengths on a photocell. During elaboration of the obtained volt-ampere characteristics of solar photovoltaic conversion elements, which determine the output power of the photovoltaic panel, the high potential of the developed design of the photovoltaic panel has been revealed. The practical value of the study lies in the fact that with the help of a holographic concentrator it is possible to increase the efficiency of solar energy conversion.
{"title":"Study on the effectiveness of a solar cell with a holographic concentrator","authors":"N. Buktukov, K. Vassin, G. Moldabayeva","doi":"10.1515/ehs-2022-0106","DOIUrl":"https://doi.org/10.1515/ehs-2022-0106","url":null,"abstract":"Abstract Solar energy is an important power source. Given this, the development in the direction of converting solar radiation into electrical energy using holographic concentrators is of great importance. The purpose of the study is to determine the electrical characteristics of the solar cell inside the solar cells. To determine the electrical characteristics of the solar cell inside the photovoltaic panel, digital sensors HC-SR04, INA219 and the “Arduino Nano” microprocessor controller were used. The paper presents the results of experimental studies of a solar panel with a holographic concentrator and photovoltaic cells based on gallium arsenide. The high efficiency of converting solar energy into electrical power is shown when dispersing and focusing different wavelengths on a photocell. During elaboration of the obtained volt-ampere characteristics of solar photovoltaic conversion elements, which determine the output power of the photovoltaic panel, the high potential of the developed design of the photovoltaic panel has been revealed. The practical value of the study lies in the fact that with the help of a holographic concentrator it is possible to increase the efficiency of solar energy conversion.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74869306","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}
{"title":"Corrigendum to: A numerical investigation of optimum angles for solar energy receivers in the eastern part of Algeria","authors":"Fethi Bennour, H. Mzad","doi":"10.1515/ehs-2023-2001","DOIUrl":"https://doi.org/10.1515/ehs-2023-2001","url":null,"abstract":"","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"64 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72485870","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}
Q. Hassan, Majid K. Abbas, V. S. Tabar, S. Tohidi, Imad Saeed Abdulrahman, H. M. Salman
Abstract The electrolysis of renewable energy to produce hydrogen has become a strategy for supporting a decarbonized economy. However, it is typically not cost-effective compared to conventional carbon-emitting methods. Due to the predicted intermediate of low-and zero-marginal-cost renewable energy sources, the ability of electrolysis to connect with electricity pricing offers a novel way to cost reduction. Moreover, renewables, particularly photovoltaics, have a deflationary effect on the value of the grid when they are deployed. This study investigates solar electrolysis configurations employing photovoltaic cells to feed a proton exchange membrane water electrolyzer for hydrogen production. Using experimental meteorological data at 1-min precision, the system has been evaluated in Baghdad, the capital of Iraq. Positioned at the yearly optimum tilt angle for the selected site, the solar array is rated at 12 kWp. Temperature effects on solar module energy loss are taken into account. Several electrolyzers with capacities ranging from 2 to 14 kW in terms of hydrogen production were examined to determine the efficacy and efficiency of renewable sources. MATLAB was utilized for the simulation procedure, with a 2021–2035 project lifespan in mind. The results suggest that a variety of potentially cost-competitive options exist for systems with market configurations that closely approximate wholesale renewable hydrogen. At 4313 h of operation per year, the planned photovoltaic array generated 18,892 kWh of energy. The achieved hydrogen production cost ranges between $5.39/kg and $3.23/kg, with an ideal electrolyzer capacity of 8 kW matching a 12 kWp photovoltaic array capable of producing 450 kg/year of hydrogen at a cost of $3.23/kg.
{"title":"Sizing electrolyzer capacity in conjunction with an off-grid photovoltaic system for the highest hydrogen production","authors":"Q. Hassan, Majid K. Abbas, V. S. Tabar, S. Tohidi, Imad Saeed Abdulrahman, H. M. Salman","doi":"10.1515/ehs-2022-0107","DOIUrl":"https://doi.org/10.1515/ehs-2022-0107","url":null,"abstract":"Abstract The electrolysis of renewable energy to produce hydrogen has become a strategy for supporting a decarbonized economy. However, it is typically not cost-effective compared to conventional carbon-emitting methods. Due to the predicted intermediate of low-and zero-marginal-cost renewable energy sources, the ability of electrolysis to connect with electricity pricing offers a novel way to cost reduction. Moreover, renewables, particularly photovoltaics, have a deflationary effect on the value of the grid when they are deployed. This study investigates solar electrolysis configurations employing photovoltaic cells to feed a proton exchange membrane water electrolyzer for hydrogen production. Using experimental meteorological data at 1-min precision, the system has been evaluated in Baghdad, the capital of Iraq. Positioned at the yearly optimum tilt angle for the selected site, the solar array is rated at 12 kWp. Temperature effects on solar module energy loss are taken into account. Several electrolyzers with capacities ranging from 2 to 14 kW in terms of hydrogen production were examined to determine the efficacy and efficiency of renewable sources. MATLAB was utilized for the simulation procedure, with a 2021–2035 project lifespan in mind. The results suggest that a variety of potentially cost-competitive options exist for systems with market configurations that closely approximate wholesale renewable hydrogen. At 4313 h of operation per year, the planned photovoltaic array generated 18,892 kWh of energy. The achieved hydrogen production cost ranges between $5.39/kg and $3.23/kg, with an ideal electrolyzer capacity of 8 kW matching a 12 kWp photovoltaic array capable of producing 450 kg/year of hydrogen at a cost of $3.23/kg.","PeriodicalId":36885,"journal":{"name":"Energy Harvesting and Systems","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84730669","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：