Sizing optimisation under irradiance uncertainty of irrigation systems powered by off-grid solar panels

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-02-07 DOI:10.1016/j.compag.2025.110034
F.J. Navarro-González , J. Manzano , M.A. Pardo
{"title":"Sizing optimisation under irradiance uncertainty of irrigation systems powered by off-grid solar panels","authors":"F.J. Navarro-González ,&nbsp;J. Manzano ,&nbsp;M.A. Pardo","doi":"10.1016/j.compag.2025.110034","DOIUrl":null,"url":null,"abstract":"<div><div>Sizing a photovoltaic installation is crucial for decision-makers, researchers and practitioners managing pressurised irrigation networks powered by solar panels. Photovoltaic off-grid installations offer energy efficiency, lower operation costs, environmental benefits and economic profitability. Network managers must strategically account for the energy limitations of solar installations when irrigating. Moreover, the manager has the challenge of synchronising energy production with the energy consumption of the pumping equipment that supplies water to crops. We propose a technique to optimise the sizing of photovoltaic installations to maximise energy consumption in pumps, thereby meeting the water demands of crops while considering the uncertainties associated with non-clear sky conditions. This approach enhances the management of installations and can schedule the opening and closing of hydrants and irrigation intakes to supply water to crops efficiently. Finally, a real case study in the University of Alicante irrigation network was conducted for two scenarios. The first is to calculate irradiance and the electrical production curve using a theoretical model (very close to reality in latitudes like Alicante, Spain). Real data obtained from a nearby meteorological station is used for the second scenario. In both cases, non-clear sky conditions are considered to establish a relationship between the probability of clear sky (<span><math><mi>α</mi></math></span>=1) and the minimum number of PV modules (537 or 509 for the theoretical model and real data, respectively). For days without direct normal irradiance (<span><math><mi>α</mi></math></span>=0), the minimum number of modules is 2145 and 991. Practitioners or decision-makers must find a compromise that meets water demands while minimising the size of the installation.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"232 ","pages":"Article 110034"},"PeriodicalIF":7.7000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925001401","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Sizing a photovoltaic installation is crucial for decision-makers, researchers and practitioners managing pressurised irrigation networks powered by solar panels. Photovoltaic off-grid installations offer energy efficiency, lower operation costs, environmental benefits and economic profitability. Network managers must strategically account for the energy limitations of solar installations when irrigating. Moreover, the manager has the challenge of synchronising energy production with the energy consumption of the pumping equipment that supplies water to crops. We propose a technique to optimise the sizing of photovoltaic installations to maximise energy consumption in pumps, thereby meeting the water demands of crops while considering the uncertainties associated with non-clear sky conditions. This approach enhances the management of installations and can schedule the opening and closing of hydrants and irrigation intakes to supply water to crops efficiently. Finally, a real case study in the University of Alicante irrigation network was conducted for two scenarios. The first is to calculate irradiance and the electrical production curve using a theoretical model (very close to reality in latitudes like Alicante, Spain). Real data obtained from a nearby meteorological station is used for the second scenario. In both cases, non-clear sky conditions are considered to establish a relationship between the probability of clear sky (α=1) and the minimum number of PV modules (537 or 509 for the theoretical model and real data, respectively). For days without direct normal irradiance (α=0), the minimum number of modules is 2145 and 991. Practitioners or decision-makers must find a compromise that meets water demands while minimising the size of the installation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
期刊最新文献
MOS sensor array based on multi-modal data weighted composite membership optimization for rice blast detection in symptomless stage MMFINet: A multimodal fusion network for accurate fish feeding intensity assessment in recirculating aquaculture systems A comparison of proximal and remote optical sensor platforms for N status estimation in winter wheat Growth monitoring of rapeseed seedlings in multiple growth stages based on low-altitude remote sensing and semantic segmentation Shrimp larvae detection and counting in aquaculture using multiscale feature fusion networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1