Candida Luiza Simonato, A. Gonçalves, Bruno Eduardo Piske, Luana Marcele Chiarello, V. Botton, Laércio Endre, Vinicyus Rodolfo Wiggers
Biomass has been investigated in recent years as an alternative source for fuel production. The use of triglyceride biomass is highlighted and, from the thermal cracking process, solid, liquid and gaseous products with energetic potential are generated. The liquid product, called bio-oil, has characteristics similar those of fossil fuels. Its composition is mainly based on hydrocarbons and carboxylic acids, and the second group generates a limiting characteristic in its processing, refining and use as fuel, increasing the acidity of bio-oil. In this work, bio-oil produced from commercial soybean oil was used in a thermal cracking process at 525ºC. The objective was to carry out ethyl esterification reactions via enzymatic catalysis in order to reduce the acidity index of the crude bio-oil. All reactions were carried out at 40ºC to avoid enzyme deactivation and different conditions of type and amount of catalyst, alcohol mass ratio and reaction time were evaluated. The best result was obtained after 6 hours of reaction with 60% acidity reduction, using Novozym 435 lipase as a catalyst at a concentration of 5% in relation to the substrate mass and 1:3 mass ratio.
{"title":"Evaluation of the Potential of Ethyl Esterification Reaction Catalyzed by Enzyme to Improve the Quality of Bio-Oil","authors":"Candida Luiza Simonato, A. Gonçalves, Bruno Eduardo Piske, Luana Marcele Chiarello, V. Botton, Laércio Endre, Vinicyus Rodolfo Wiggers","doi":"10.24084/repqj21.254","DOIUrl":"https://doi.org/10.24084/repqj21.254","url":null,"abstract":"Biomass has been investigated in recent years as an alternative source for fuel production. The use of triglyceride biomass is highlighted and, from the thermal cracking process, solid, liquid and gaseous products with energetic potential are generated. The liquid product, called bio-oil, has characteristics similar those of fossil fuels. Its composition is mainly based on hydrocarbons and carboxylic acids, and the second group generates a limiting characteristic in its processing, refining and use as fuel, increasing the acidity of bio-oil. In this work, bio-oil produced from commercial soybean oil was used in a thermal cracking process at 525ºC. The objective was to carry out ethyl esterification reactions via enzymatic catalysis in order to reduce the acidity index of the crude bio-oil. All reactions were carried out at 40ºC to avoid enzyme deactivation and different conditions of type and amount of catalyst, alcohol mass ratio and reaction time were evaluated. The best result was obtained after 6 hours of reaction with 60% acidity reduction, using Novozym 435 lipase as a catalyst at a concentration of 5% in relation to the substrate mass and 1:3 mass ratio.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83089431","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}
M.A. Garcia-Vaca, J. Sierra-García, M. Santos, Ravi Kumar Pandit
In the study of wind turbines, one of the most relevant and useful indicators is the power curve. It has been shown to be of paramount importance in evaluating turbine performance and therefore reducing operation and maintenance (O&M) costs. Various techniques can be applied to model and obtain the shape of this curve, which relates the electrical power generated by a turbine to the wind speed. Statistical copulas are used in this paper, a tool used in other fields such as econometrics, and whose potential lies in its ability to capture the complex dependency between the variables involved. In particular, the Frank copula is applied to obtain a probabilistic model of the power curve of a wind turbine. This model is compared with the Gaussian Mixture Model, a technique widely used to obtain parametric probabilistic models. As a result of this comparison, it is observed that the Frank copula model fits the power curve of the wind turbine with greater precision and reliability, which would allow its use for prediction and fault detection.
{"title":"Modelling Wind Turbine Power Curves based on Frank’s copula","authors":"M.A. Garcia-Vaca, J. Sierra-García, M. Santos, Ravi Kumar Pandit","doi":"10.24084/repqj21.378","DOIUrl":"https://doi.org/10.24084/repqj21.378","url":null,"abstract":"In the study of wind turbines, one of the most relevant and useful indicators is the power curve. It has been shown to be of paramount importance in evaluating turbine performance and therefore reducing operation and maintenance (O&M) costs. Various techniques can be applied to model and obtain the shape of this curve, which relates the electrical power generated by a turbine to the wind speed. Statistical copulas are used in this paper, a tool used in other fields such as econometrics, and whose potential lies in its ability to capture the complex dependency between the variables involved. In particular, the Frank copula is applied to obtain a probabilistic model of the power curve of a wind turbine. This model is compared with the Gaussian Mixture Model, a technique widely used to obtain parametric probabilistic models. As a result of this comparison, it is observed that the Frank copula model fits the power curve of the wind turbine with greater precision and reliability, which would allow its use for prediction and fault detection.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74486268","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}
M. Lopes, G. Acevedo, B. Menezes, O.H.F. Rabelo, L. B. Brito, A. B. Dias, A. Filho, E. G. Domingues
This study aims to present the results of the application of a computational tool developed to perform a technical-economic feasibility analysis of large-scale Parabolic Trough Collectors (PTC) solar power plants in Brazil. The gross revenue from cash flow is obtained through an energy trading model for the Regulated Contracting Environment of the Brazilian Electricity Market. The economic viability analysis uses the Net Present Value, Modified Internal Rate of Return, Discounted Payback, and Levelized Cost of Energy indicators. The parametric structural optimization method is used to optimize the technical parameters of the plant. A case study was conducted to analyse the feasibility of implementing a 100 MW PTC in the five regions of Brazil. The results indicated that the best region in Brazil to receive this technology is the northeastern region. However, the project is economically unfeasible in all cities analysed. Therefore, a sensitivity analysis of the main parameters that affect the project's net present value is carried out to evaluate the impact of the economic parameters on the economic viability of an optimized PTC plant located in the city with the best technical performance. An optimistic scenario was evaluated considering the system's response to the parameters investigated in the sensitivity analysis. For this scenario, the results pointed to the project's economic viability.
{"title":"Technical-economic feasibility analysis of a large-scale parabolic trough collectors solar power plant in Brazil","authors":"M. Lopes, G. Acevedo, B. Menezes, O.H.F. Rabelo, L. B. Brito, A. B. Dias, A. Filho, E. G. Domingues","doi":"10.24084/repqj21.316","DOIUrl":"https://doi.org/10.24084/repqj21.316","url":null,"abstract":"This study aims to present the results of the application of a computational tool developed to perform a technical-economic feasibility analysis of large-scale Parabolic Trough Collectors (PTC) solar power plants in Brazil. The gross revenue from cash flow is obtained through an energy trading model for the Regulated Contracting Environment of the Brazilian Electricity Market. The economic viability analysis uses the Net Present Value, Modified Internal Rate of Return, Discounted Payback, and Levelized Cost of Energy indicators. The parametric structural optimization method is used to optimize the technical parameters of the plant. A case study was conducted to analyse the feasibility of implementing a 100 MW PTC in the five regions of Brazil. The results indicated that the best region in Brazil to receive this technology is the northeastern region. However, the project is economically unfeasible in all cities analysed. Therefore, a sensitivity analysis of the main parameters that affect the project's net present value is carried out to evaluate the impact of the economic parameters on the economic viability of an optimized PTC plant located in the city with the best technical performance. An optimistic scenario was evaluated considering the system's response to the parameters investigated in the sensitivity analysis. For this scenario, the results pointed to the project's economic viability.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91080109","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. Dufo-López, J. Lujano-Rojas, J. Bernal-Agustín, J. S. Artal-Sevil, Á. Bayod-Rújula, Tomás Cortés-Arcos, Javier Carroquino Oñate, Cristina Escriche Martínez
In this paper, we use MHOGA software for the evaluation of a hydrogen generation system powered by wind turbines. We study the state of the art of the electrolyzers, obtaining the most important characteristics and costs of PEM electrolyzers. The optimization of a Wind-H2 system is performed, obtaining the best combination of components (wind turbines and electrolyzer) and control strategy for the hydrogen production. We will compare to the Wind-only system (wind farm which injects all the electricity produced to the gird). Two cases have been evaluated regarding the electricity price: Spanish SPOT price of 2019 and of 2021, with an expected increase of 1% annual. The Wind-H2 system can be competitive to the Wind-only system if the hydrogen sale price is 4.8 €/kg for the case of 2019 SPOT prices and 6.7 €/kg for the case of 2021 SPOT prices, considering 1% annual increase in the SPOT prices and 2% for the hydrogen price.
{"title":"Utility-scale renewable hydrogen generation by wind turbines","authors":"R. Dufo-López, J. Lujano-Rojas, J. Bernal-Agustín, J. S. Artal-Sevil, Á. Bayod-Rújula, Tomás Cortés-Arcos, Javier Carroquino Oñate, Cristina Escriche Martínez","doi":"10.24084/repqj21.208","DOIUrl":"https://doi.org/10.24084/repqj21.208","url":null,"abstract":"In this paper, we use MHOGA software for the evaluation of a hydrogen generation system powered by wind turbines. We study the state of the art of the electrolyzers, obtaining the most important characteristics and costs of PEM electrolyzers. The optimization of a Wind-H2 system is performed, obtaining the best combination of components (wind turbines and electrolyzer) and control strategy for the hydrogen production. We will compare to the Wind-only system (wind farm which injects all the electricity produced to the gird). Two cases have been evaluated regarding the electricity price: Spanish SPOT price of 2019 and of 2021, with an expected increase of 1% annual. The Wind-H2 system can be competitive to the Wind-only system if the hydrogen sale price is 4.8 €/kg for the case of 2019 SPOT prices and 6.7 €/kg for the case of 2021 SPOT prices, considering 1% annual increase in the SPOT prices and 2% for the hydrogen price.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91315964","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}
Nowadays, the promotion of renewable energy sources is a necessity. Technically, the increase of the renewable penetration in the power system (PS) is a challenge. One solution for this problem is the use of self-controlled microgrids (smartgrid, SG). In this work, the design of an algorithm to optimal manage the SG energy through the power inverter control in the SG is presented. In general, a SG consists of renewable energy sources, electrical loads and storage systems. In an isolated SG (no connected to the power system), a DC/AC (direct current / alternating current) converter (power inverter, PInv) is necessary to provide an alternating voltage to supply the loads. If the SG is connected to the PS, the PInv is used to inject the active power from the renewable energy sources.
{"title":"Inverter Control Design for the optimal management of electrical Microgrids","authors":"J. R. Vazquez, N. Magro, R. S. Herrera, A. Martin","doi":"10.24084/repqj21.310","DOIUrl":"https://doi.org/10.24084/repqj21.310","url":null,"abstract":"Nowadays, the promotion of renewable energy sources is a necessity. Technically, the increase of the renewable penetration in the power system (PS) is a challenge. One solution for this problem is the use of self-controlled microgrids (smartgrid, SG). In this work, the design of an algorithm to optimal manage the SG energy through the power inverter control in the SG is presented. In general, a SG consists of renewable energy sources, electrical loads and storage systems. In an isolated SG (no connected to the power system), a DC/AC (direct current / alternating current) converter (power inverter, PInv) is necessary to provide an alternating voltage to supply the loads. If the SG is connected to the PS, the PInv is used to inject the active power from the renewable energy sources.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82739602","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}
The paper presents an inverter based on the orthogonal space vectors theory (OVT inverter) and its performance. The OVT inverter consists of two constituent twolevel 3-phase inverters: the main inverter (MI) and the auxiliary one (AI). The MI is controlled in a simple way to generate the stepped output voltage and the AI works as an active filter limiting the higher harmonics in the OVT output voltage. The filtering process is formed by the use of the orthogonal space vector theory. The output voltage of the OVT inverter takes the shape of a stepped voltage comparable to the voltage generated by multilevel inverters. The AI operates as a very effective active power filter (APF) of the OVT inverter output voltage. The AI power is significantly lower in comparison to the MI power nevertheless its switching frequency affects the OVT performance. The article describes studies in which the impact of changes in the switching frequency filter inverter on the operation of the orthogonal inverter and the output voltage THD. Increasing the filter inverter switching frequency improved performance and reduced the transformer size, which acts as a summing node.
{"title":"Performance of an OVT inverter reliant on the switching frequency of the filtering inverter","authors":"A. Muc, J. Iwaszkiewicz","doi":"10.24084/repqj21.450","DOIUrl":"https://doi.org/10.24084/repqj21.450","url":null,"abstract":"The paper presents an inverter based on the orthogonal space vectors theory (OVT inverter) and its performance. The OVT inverter consists of two constituent twolevel 3-phase inverters: the main inverter (MI) and the auxiliary one (AI). The MI is controlled in a simple way to generate the stepped output voltage and the AI works as an active filter limiting the higher harmonics in the OVT output voltage. The filtering process is formed by the use of the orthogonal space vector theory. The output voltage of the OVT inverter takes the shape of a stepped voltage comparable to the voltage generated by multilevel inverters. The AI operates as a very effective active power filter (APF) of the OVT inverter output voltage. The AI power is significantly lower in comparison to the MI power nevertheless its switching frequency affects the OVT performance. The article describes studies in which the impact of changes in the switching frequency filter inverter on the operation of the orthogonal inverter and the output voltage THD. Increasing the filter inverter switching frequency improved performance and reduced the transformer size, which acts as a summing node.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81726882","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}
M. Remiro-Cinca, L. Elorza-Uriarte, G. Fernández, L. Luengo-Baranguan, D. Martinez, N. Galán Hernández
Drastic reduction of greenhouse gases emissions depends, among other factors, on a quick and efficient integration of renewable sources in the energy generation pool. In this context, hydropower nowadays represents the biggest share of the world renewable energy generation. However, in the case of European Union, many hydropower plants are about to reach their end-of-life stage and environmental regulations on the recovery of natural water flows require these plants to be dismantled. In the controversial scenario where the need to recover natural waterflows and the loss of a key source of green energy clash with each other, the objective of this work is to provide an exhaustive review of the different auxiliary services that hydropower plants can provide in the current and especially future decarbonized electricity paradigm. To this end, services such as participation in secondary and tertiary regulation markets, power purchase agreements, local energy communities, reduction of curtailments, renewable energy storage or contribution to physical inertia to the grid are analyzed and final conclusions are drawn.
{"title":"Alternative Uses of Hydroelectric Power Plants in a Decarbonized Energy Scenario","authors":"M. Remiro-Cinca, L. Elorza-Uriarte, G. Fernández, L. Luengo-Baranguan, D. Martinez, N. Galán Hernández","doi":"10.24084/repqj21.368","DOIUrl":"https://doi.org/10.24084/repqj21.368","url":null,"abstract":"Drastic reduction of greenhouse gases emissions depends, among other factors, on a quick and efficient integration of renewable sources in the energy generation pool. In this context, hydropower nowadays represents the biggest share of the world renewable energy generation. However, in the case of European Union, many hydropower plants are about to reach their end-of-life stage and environmental regulations on the recovery of natural water flows require these plants to be dismantled. In the controversial scenario where the need to recover natural waterflows and the loss of a key source of green energy clash with each other, the objective of this work is to provide an exhaustive review of the different auxiliary services that hydropower plants can provide in the current and especially future decarbonized electricity paradigm. To this end, services such as participation in secondary and tertiary regulation markets, power purchase agreements, local energy communities, reduction of curtailments, renewable energy storage or contribution to physical inertia to the grid are analyzed and final conclusions are drawn.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83881167","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}
J. Cano-Martínez, E. Peñalvo-López, V. León-Martínez, I. Valencia-Salazar
New demand-side management models have emerged as a result of rising energy prices, the development of artificial intelligence, and the rise of prosumers. The purpose of this research is to use deep learning techniques to predict the energy production and demand of a prosumer network to determine dynamic prices for the local market. Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM) were two methods that were taken into consideration for forecasting consumer demand and wind and solar energy generation. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) were used to compare the various approaches. The results demonstrated that GRU, with 0.0273, 0.0158, and 49.8 in RMSE, MAE, and MAPE respectively, is the best method for predicting energy generation and consumption in our datasets. Demand management system dynamic prices were calculated on an hourly basis using input from energy generation and demand forecasts. Finally, an optimization method was developed for establishing the energy planning.
{"title":"Dynamic energy prices for residential users based on Deep Learning prediction models of consumption and renewable generation","authors":"J. Cano-Martínez, E. Peñalvo-López, V. León-Martínez, I. Valencia-Salazar","doi":"10.24084/repqj21.226","DOIUrl":"https://doi.org/10.24084/repqj21.226","url":null,"abstract":"New demand-side management models have emerged as a result of rising energy prices, the development of artificial intelligence, and the rise of prosumers. The purpose of this research is to use deep learning techniques to predict the energy production and demand of a prosumer network to determine dynamic prices for the local market. Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM) were two methods that were taken into consideration for forecasting consumer demand and wind and solar energy generation. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) were used to compare the various approaches. The results demonstrated that GRU, with 0.0273, 0.0158, and 49.8 in RMSE, MAE, and MAPE respectively, is the best method for predicting energy generation and consumption in our datasets. Demand management system dynamic prices were calculated on an hourly basis using input from energy generation and demand forecasts. Finally, an optimization method was developed for establishing the energy planning.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88931908","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}
Various types of aqueous solutions are disposed of in residential, institutional, commercial, and industrial buildings. The wastewater must be treated to remove pathogens (bacteria, viruses), nutrients (nitrogen, phosphorus), and other compounds in order to maintain public health and the environment. Accumulation of untreated sewage can result in a wide range of nuisances. Most of Israel's wastewater is purified and used for irrigation every year, which amounts to 530 million cubic meters. Approximately 80 percent of wastewater recovered in Israel is recycled. By treating wastewater appropriately, agriculture, tourism, gardening, and industry can benefit. The presence of raw sewage in settlements with no sewage collection or transportation networks continues to pose a great threat even today. There is a significant energy consumption associated with wastewater treatment processes. In this study, solar energy was attempted to be integrated as a renewable energy source. With Renewable Energy Sources integrated into the process, costs will be reduced, and it will also be possible to establish decentralized facilities in areas without proper infrastructure for traditional treatment methods.
{"title":"Reducing Fossil Fuel Consumption by Incorporating Renewable Energy Sources in Wastewater Treatment Processes","authors":"H. Friman","doi":"10.24084/repqj21.360","DOIUrl":"https://doi.org/10.24084/repqj21.360","url":null,"abstract":"Various types of aqueous solutions are disposed of in residential, institutional, commercial, and industrial buildings. The wastewater must be treated to remove pathogens (bacteria, viruses), nutrients (nitrogen, phosphorus), and other compounds in order to maintain public health and the environment. Accumulation of untreated sewage can result in a wide range of nuisances. Most of Israel's wastewater is purified and used for irrigation every year, which amounts to 530 million cubic meters. Approximately 80 percent of wastewater recovered in Israel is recycled. By treating wastewater appropriately, agriculture, tourism, gardening, and industry can benefit. The presence of raw sewage in settlements with no sewage collection or transportation networks continues to pose a great threat even today. There is a significant energy consumption associated with wastewater treatment processes. In this study, solar energy was attempted to be integrated as a renewable energy source. With Renewable Energy Sources integrated into the process, costs will be reduced, and it will also be possible to establish decentralized facilities in areas without proper infrastructure for traditional treatment methods.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86494791","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}
D. M. Larruskain, P. Eguía, A. Iturregi, E. Torres, V. Valverde, A. Blázquez
Green hydrogen production from renewable energy sources has a big potential to reduce energy dependence on fossil fuel, contributing to the global goal set by the international community of net zero emissions by 2050. Electrolyzers are connected to grid with power stages that can be designed as active devices with high control capability and a remarkably fast operation. Nevertheless, in the present, they must overcome some challenges in order to ensure a reliable operation. This paper addresses the concept of protection of DC grids with electrolyzers fed from renewable energy sources. The topologies of the grid are discussed as well as protection features and fault clearing strategies. A new dynamic model for multi megawatt PEM electrolyzer is introduced. Finally, a case study with a PEM electrolyzer in a MVDC system is included.
{"title":"Protection of MVDC grids for the production of green hydrogen","authors":"D. M. Larruskain, P. Eguía, A. Iturregi, E. Torres, V. Valverde, A. Blázquez","doi":"10.24084/repqj21.260","DOIUrl":"https://doi.org/10.24084/repqj21.260","url":null,"abstract":"Green hydrogen production from renewable energy sources has a big potential to reduce energy dependence on fossil fuel, contributing to the global goal set by the international community of net zero emissions by 2050. Electrolyzers are connected to grid with power stages that can be designed as active devices with high control capability and a remarkably fast operation. Nevertheless, in the present, they must overcome some challenges in order to ensure a reliable operation. This paper addresses the concept of protection of DC grids with electrolyzers fed from renewable energy sources. The topologies of the grid are discussed as well as protection features and fault clearing strategies. A new dynamic model for multi megawatt PEM electrolyzer is introduced. Finally, a case study with a PEM electrolyzer in a MVDC system is included.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118618","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}
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