{"title":"基于微水力太阳能和风能的能源和水系统的优化规模和技术评价","authors":"H. Cherif, S. Tnani, J. Belhadj, A. R. Silva","doi":"10.1109/INDIN.2018.8472076","DOIUrl":null,"url":null,"abstract":"In recent years, significant attention has been given to renewable energy integration within the context of water-energy nexus. Therefore, the present paper developed a methodology to design an autonomous micro- hydric/solar/eolic/battery system in Park of Covilhã, Portugal. Annual data of wind speed, solar irradiance and temperature are used. Afterwards, the components of the system and optimization objectives have been modelled. Based on a two- objective optimization, the present methodology combines loss of power supply probability and embodied energy. An optimal configuration has been put in place using a dynamic simulator and applying a controlled elitist genetic algorithm. Two study cases have been investigated in order to eco-size the system and evaluate the energetic potential in the park. The obtained results show that, in the first case, the PV/Wind/Battery system can provide more than 95% of the electric needs while in the second case, the micro hydric system can provide 100 % of the electric needs without the complementarity of solar and wind turbine sources (0% in the solar and wind energy output).","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"9 1","pages":"1018-1023"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal sizing and technical evaluation of energy and water system based on micro-hydric solar and wind sources\",\"authors\":\"H. Cherif, S. Tnani, J. Belhadj, A. R. Silva\",\"doi\":\"10.1109/INDIN.2018.8472076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, significant attention has been given to renewable energy integration within the context of water-energy nexus. Therefore, the present paper developed a methodology to design an autonomous micro- hydric/solar/eolic/battery system in Park of Covilhã, Portugal. Annual data of wind speed, solar irradiance and temperature are used. Afterwards, the components of the system and optimization objectives have been modelled. Based on a two- objective optimization, the present methodology combines loss of power supply probability and embodied energy. An optimal configuration has been put in place using a dynamic simulator and applying a controlled elitist genetic algorithm. Two study cases have been investigated in order to eco-size the system and evaluate the energetic potential in the park. The obtained results show that, in the first case, the PV/Wind/Battery system can provide more than 95% of the electric needs while in the second case, the micro hydric system can provide 100 % of the electric needs without the complementarity of solar and wind turbine sources (0% in the solar and wind energy output).\",\"PeriodicalId\":6467,\"journal\":{\"name\":\"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)\",\"volume\":\"9 1\",\"pages\":\"1018-1023\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2018.8472076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2018.8472076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal sizing and technical evaluation of energy and water system based on micro-hydric solar and wind sources
In recent years, significant attention has been given to renewable energy integration within the context of water-energy nexus. Therefore, the present paper developed a methodology to design an autonomous micro- hydric/solar/eolic/battery system in Park of Covilhã, Portugal. Annual data of wind speed, solar irradiance and temperature are used. Afterwards, the components of the system and optimization objectives have been modelled. Based on a two- objective optimization, the present methodology combines loss of power supply probability and embodied energy. An optimal configuration has been put in place using a dynamic simulator and applying a controlled elitist genetic algorithm. Two study cases have been investigated in order to eco-size the system and evaluate the energetic potential in the park. The obtained results show that, in the first case, the PV/Wind/Battery system can provide more than 95% of the electric needs while in the second case, the micro hydric system can provide 100 % of the electric needs without the complementarity of solar and wind turbine sources (0% in the solar and wind energy output).