具有氢能储存功能的太阳能反渗透海水淡化系统的建模与多目标优化

IF 9.9 1区 工程技术 Q1 ENERGY & FUELS
Alejandra Risco-Bravo , Christopher Varela , Guillermo Soriano , Gonzalo A. Almeida Pazmiño
{"title":"具有氢能储存功能的太阳能反渗透海水淡化系统的建模与多目标优化","authors":"Alejandra Risco-Bravo ,&nbsp;Christopher Varela ,&nbsp;Guillermo Soriano ,&nbsp;Gonzalo A. Almeida Pazmiño","doi":"10.1016/j.enconman.2024.119148","DOIUrl":null,"url":null,"abstract":"<div><div>Remote communities often face challenges in accessing clean water, crucial for improving their quality of life and health. To address this issue, this work focuses on optimizing the design of a hybrid renewable energy system, integrating photovoltaic (PV) and hydrogen storage to power a reverse osmosis desalination (ROD) system. A novel multiobjective optimization model, implemented as a mixed-integer linear program, is proposed to minimize exergy losses and annual cycle costs, ensuring optimal system performance. The optimized decision variables include the sizing and power allocation of the hybrid energy system, and the operation of the ROD system based on water demand. Operational characteristics such as energy balance, system capacity, and daily water demand are incorporated into the model as constraints. The flexibility of the model allows for site-specific parameters, tailoring solutions to meet the needs of remote communities. The optimization model is tested in this work for two case studies, revealing significant cost-effectiveness disparities. In the first community, the system achieves a levelized cost of water (LCW) and exergy efficiency of 2.119 USD/m<sup>3</sup> and 11.48 % for an 18 m<sup>3</sup> daily water demand, compared to 3.757 USD/m<sup>3</sup> and 8.79 % for a 3 m<sup>3</sup> daily demand in the second community. This highlights the economic viability and higher efficiency of such a system for large-scale applications, achieving up to a 16.11 % lower LCW than other studies. Additionally, it demonstrates the flexibility of the proposed optimization model and provides a comprehensive evaluation of hybrid energy systems for remote communities.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and multiobjective optimization of a solar-powered reverse osmosis desalination system with hydrogen energy storage\",\"authors\":\"Alejandra Risco-Bravo ,&nbsp;Christopher Varela ,&nbsp;Guillermo Soriano ,&nbsp;Gonzalo A. Almeida Pazmiño\",\"doi\":\"10.1016/j.enconman.2024.119148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Remote communities often face challenges in accessing clean water, crucial for improving their quality of life and health. To address this issue, this work focuses on optimizing the design of a hybrid renewable energy system, integrating photovoltaic (PV) and hydrogen storage to power a reverse osmosis desalination (ROD) system. A novel multiobjective optimization model, implemented as a mixed-integer linear program, is proposed to minimize exergy losses and annual cycle costs, ensuring optimal system performance. The optimized decision variables include the sizing and power allocation of the hybrid energy system, and the operation of the ROD system based on water demand. Operational characteristics such as energy balance, system capacity, and daily water demand are incorporated into the model as constraints. The flexibility of the model allows for site-specific parameters, tailoring solutions to meet the needs of remote communities. The optimization model is tested in this work for two case studies, revealing significant cost-effectiveness disparities. In the first community, the system achieves a levelized cost of water (LCW) and exergy efficiency of 2.119 USD/m<sup>3</sup> and 11.48 % for an 18 m<sup>3</sup> daily water demand, compared to 3.757 USD/m<sup>3</sup> and 8.79 % for a 3 m<sup>3</sup> daily demand in the second community. This highlights the economic viability and higher efficiency of such a system for large-scale applications, achieving up to a 16.11 % lower LCW than other studies. Additionally, it demonstrates the flexibility of the proposed optimization model and provides a comprehensive evaluation of hybrid energy systems for remote communities.</div></div>\",\"PeriodicalId\":11664,\"journal\":{\"name\":\"Energy Conversion and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Conversion and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0196890424010896\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890424010896","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

偏远社区在获取清洁水源方面往往面临挑战,而清洁水源对提高生活质量和健康水平至关重要。为解决这一问题,本研究侧重于优化混合可再生能源系统的设计,该系统集成了光伏(PV)和储氢技术,为反渗透海水淡化(ROD)系统提供动力。本文提出了一个新颖的多目标优化模型,该模型以混合整数线性程序的形式实现,旨在最大限度地降低放能损失和年周期成本,确保系统性能最优。优化决策变量包括混合能源系统的规模和功率分配,以及基于水需求的 ROD 系统运行。能源平衡、系统容量和每日用水需求等运行特征作为约束条件被纳入模型。该模型具有灵活性,可根据具体地点设置参数,量身定制解决方案,以满足偏远社区的需求。这项工作对两个案例研究中的优化模型进行了测试,结果显示成本效益差异显著。在第一个社区,日需水量为 18 立方米时,系统的平准水成本(LCW)和放能效率分别为 2.119 美元/立方米和 11.48%;而在第二个社区,日需水量为 3 立方米时,系统的平准水成本(LCW)和放能效率分别为 3.757 美元/立方米和 8.79%。这凸显了这种系统在大规模应用中的经济可行性和更高的效率,与其他研究相比,其低浓度水耗降低了 16.11%。此外,它还证明了所建议的优化模型的灵活性,并为偏远社区的混合能源系统提供了全面的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and multiobjective optimization of a solar-powered reverse osmosis desalination system with hydrogen energy storage
Remote communities often face challenges in accessing clean water, crucial for improving their quality of life and health. To address this issue, this work focuses on optimizing the design of a hybrid renewable energy system, integrating photovoltaic (PV) and hydrogen storage to power a reverse osmosis desalination (ROD) system. A novel multiobjective optimization model, implemented as a mixed-integer linear program, is proposed to minimize exergy losses and annual cycle costs, ensuring optimal system performance. The optimized decision variables include the sizing and power allocation of the hybrid energy system, and the operation of the ROD system based on water demand. Operational characteristics such as energy balance, system capacity, and daily water demand are incorporated into the model as constraints. The flexibility of the model allows for site-specific parameters, tailoring solutions to meet the needs of remote communities. The optimization model is tested in this work for two case studies, revealing significant cost-effectiveness disparities. In the first community, the system achieves a levelized cost of water (LCW) and exergy efficiency of 2.119 USD/m3 and 11.48 % for an 18 m3 daily water demand, compared to 3.757 USD/m3 and 8.79 % for a 3 m3 daily demand in the second community. This highlights the economic viability and higher efficiency of such a system for large-scale applications, achieving up to a 16.11 % lower LCW than other studies. Additionally, it demonstrates the flexibility of the proposed optimization model and provides a comprehensive evaluation of hybrid energy systems for remote communities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信