Optimal sizing and technical evaluation of energy and water system based on micro-hydric solar and wind sources

2018 IEEE 16th International Conference on Industrial Informatics (INDIN) Pub Date : 2018-07-01 DOI:10.1109/INDIN.2018.8472076

H. Cherif, S. Tnani, J. Belhadj, A. R. Silva

{"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}

引用次数: 3

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).

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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

近年来，在水能关系的背景下，可再生能源的整合受到了极大的关注。因此，本文开发了一种在葡萄牙Covilhã公园设计自主微型水力/太阳能/生态/电池系统的方法。使用了风速、太阳辐照度和温度的年数据。然后，对系统组成和优化目标进行了建模。该方法基于双目标优化，将供电损失概率与蕴含能量相结合。利用动态模拟器和受控精英遗传算法，确定了最优配置。为了对系统的生态规模进行调查，并评估公园的能量潜力，研究人员对两个研究案例进行了调查。得到的结果表明，在第一种情况下，光伏/风能/电池系统可以提供95%以上的电力需求，而在第二种情况下，微水力系统可以提供100%的电力需求，而不需要太阳能和风力发电源的互补(太阳能和风能输出为0%)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

自引率

0.00%

发文量