C. Roldán-Blay, D. Dasí-Crespo, C. Roldán-Porta, G. Escrivá-Escrivá, E. Quiles-Cucarella
{"title":"提高沼气厂与光伏厂协同效应的动态算法","authors":"C. Roldán-Blay, D. Dasí-Crespo, C. Roldán-Porta, G. Escrivá-Escrivá, E. Quiles-Cucarella","doi":"10.24084/repqj21.245","DOIUrl":null,"url":null,"abstract":"This research work proposes an efficient management algorithm for the integration of a biogas and photovoltaic plant for self-consumption. The algorithm is based on the optimization of production and energy use in the plants to meet demand at a reduced cost. The algorithm has been validated using models and simulations, using real data from experimental trials, and comparing the results with simple, non-adaptive control strategies. The results obtained show that the synergy between biogas production and solar energy generation is a promising strategy to increase efficiency and sustainability of electricity production. The algorithm has the potential to overcome technical and economic challenges and is a valuable tool for medium-sized installations. Furthermore, the study found that the algorithm can reduce the cost of electricity by up to 5% on average and even more under certain conditions. Additionally, this research highlights the need for further studies to develop advanced algorithms that are adaptable to different scenarios and weather conditions.","PeriodicalId":21076,"journal":{"name":"Renewable Energy and Power Quality Journal","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic algorithm to boost the synergy between biogas plants and photovoltaic plants\",\"authors\":\"C. Roldán-Blay, D. Dasí-Crespo, C. Roldán-Porta, G. Escrivá-Escrivá, E. Quiles-Cucarella\",\"doi\":\"10.24084/repqj21.245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work proposes an efficient management algorithm for the integration of a biogas and photovoltaic plant for self-consumption. The algorithm is based on the optimization of production and energy use in the plants to meet demand at a reduced cost. The algorithm has been validated using models and simulations, using real data from experimental trials, and comparing the results with simple, non-adaptive control strategies. The results obtained show that the synergy between biogas production and solar energy generation is a promising strategy to increase efficiency and sustainability of electricity production. The algorithm has the potential to overcome technical and economic challenges and is a valuable tool for medium-sized installations. Furthermore, the study found that the algorithm can reduce the cost of electricity by up to 5% on average and even more under certain conditions. Additionally, this research highlights the need for further studies to develop advanced algorithms that are adaptable to different scenarios and weather conditions.\",\"PeriodicalId\":21076,\"journal\":{\"name\":\"Renewable Energy and Power Quality Journal\",\"volume\":\"77 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renewable Energy and Power Quality Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24084/repqj21.245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy and Power Quality Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24084/repqj21.245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Energy","Score":null,"Total":0}
Dynamic algorithm to boost the synergy between biogas plants and photovoltaic plants
This research work proposes an efficient management algorithm for the integration of a biogas and photovoltaic plant for self-consumption. The algorithm is based on the optimization of production and energy use in the plants to meet demand at a reduced cost. The algorithm has been validated using models and simulations, using real data from experimental trials, and comparing the results with simple, non-adaptive control strategies. The results obtained show that the synergy between biogas production and solar energy generation is a promising strategy to increase efficiency and sustainability of electricity production. The algorithm has the potential to overcome technical and economic challenges and is a valuable tool for medium-sized installations. Furthermore, the study found that the algorithm can reduce the cost of electricity by up to 5% on average and even more under certain conditions. Additionally, this research highlights the need for further studies to develop advanced algorithms that are adaptable to different scenarios and weather conditions.