大型农业发电农场作为氢动力电动汽车充电基础设施的自主能源的技术含义

Solar Compass Pub Date : 2025-09-05 DOI:10.1016/j.solcom.2025.100145

Shanza Neda Hussain, Divyesh Bharatbhai Mangela, Aritra Ghosh

{"title":"大型农业发电农场作为氢动力电动汽车充电基础设施的自主能源的技术含义","authors":"Shanza Neda Hussain, Divyesh Bharatbhai Mangela, Aritra Ghosh","doi":"10.1016/j.solcom.2025.100145","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates a comprehensive assessment of green hydrogen (H<sub>2</sub>) production utilising electricity generated from a 1GW agrivoltaics system, with focus on charging hydrogen fuel cell electric vehicles in diverse global climates. To compare various climates, simulations are run for four locations: Phoenix (USA), Eching (Germany), Hooghly (India), and Konstanz (Germany), representing wide range of solar radiation profiles and agricultural contexts. Advanced crop and solar power simulations were performed using DSSAT 48 and PVsyst 7.4.0, respectively. Site-specific crops were chosen depending on the consumption and the cultivation practices. Cotton harvest is a dominant crop in Phoenix, Hooghly is one of the major rice-producing districts in the state of West Bengal, India. Germany is the largest market for chia, and safflower has great potential to produce florets in Germany. Bifacial LG Electronics module at optimal angle to optimise electricity generation. The highest LER obtained was for Konstanz with 2.01, where Chia was used as the test crop. Lithium-ion battery is used in the system before the electricity is supplied to the electrolyser for H<sub>2</sub> production to mitigate the effect of abrupt changes in power or voltage brought on by the agrivoltaics system.</div><div>Results reveal significant geographical variability in solar energy capture and hydrogen production, with Phoenix (with the highest production of 33,487.39 kg/month) and Eching (accounting for the highest production of 30,514.04 kg/month) presenting the highest and lowest hydrogen outputs, respectively. The study evaluates the implications of these variations on supporting a fleet of hydrogen-fuelled vehicles ranging from public transport commercial vehicles (13,219 being the highest number in a month), minibuses (maximum number of vehicles that can refuelled being 30,912 in a month), fuel cell heavy vehicles (estimating maximum of 957 heavy trucks in a month) and passenger cars (6698 as the highest number of cars in a month), highlighting the compatibility of agrivoltaics with clean mobility solutions.</div><div>By addressing critical global challenges, this work demonstrates the synergy between agrivoltaics and hydrogen technologies, integration of battery storage ensures reliable system operation, while compatibility with multiple vehicles' charging strategies practically of off-grid, renewable-powered mobility. The findings offer a compelling blueprint for sustainable development, supporting progress towards multiple United Nations Sustainable Development Goals (SDGs). This study, therefore, establishes new benchmarks for scalable, climate-adaptive solutions that simultaneously advance clean electricity, hydrogen fuel production, and sustainable agriculture.</div></div>","PeriodicalId":101173,"journal":{"name":"Solar Compass","volume":"16 ","pages":"Article 100145"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical implications of large-scale agrivoltaics farms as an autonomous energy source for hydrogen-powered electric vehicle charging infrastructure\",\"authors\":\"Shanza Neda Hussain, Divyesh Bharatbhai Mangela, Aritra Ghosh\",\"doi\":\"10.1016/j.solcom.2025.100145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates a comprehensive assessment of green hydrogen (H<sub>2</sub>) production utilising electricity generated from a 1GW agrivoltaics system, with focus on charging hydrogen fuel cell electric vehicles in diverse global climates. To compare various climates, simulations are run for four locations: Phoenix (USA), Eching (Germany), Hooghly (India), and Konstanz (Germany), representing wide range of solar radiation profiles and agricultural contexts. Advanced crop and solar power simulations were performed using DSSAT 48 and PVsyst 7.4.0, respectively. Site-specific crops were chosen depending on the consumption and the cultivation practices. Cotton harvest is a dominant crop in Phoenix, Hooghly is one of the major rice-producing districts in the state of West Bengal, India. Germany is the largest market for chia, and safflower has great potential to produce florets in Germany. Bifacial LG Electronics module at optimal angle to optimise electricity generation. The highest LER obtained was for Konstanz with 2.01, where Chia was used as the test crop. Lithium-ion battery is used in the system before the electricity is supplied to the electrolyser for H<sub>2</sub> production to mitigate the effect of abrupt changes in power or voltage brought on by the agrivoltaics system.</div><div>Results reveal significant geographical variability in solar energy capture and hydrogen production, with Phoenix (with the highest production of 33,487.39 kg/month) and Eching (accounting for the highest production of 30,514.04 kg/month) presenting the highest and lowest hydrogen outputs, respectively. The study evaluates the implications of these variations on supporting a fleet of hydrogen-fuelled vehicles ranging from public transport commercial vehicles (13,219 being the highest number in a month), minibuses (maximum number of vehicles that can refuelled being 30,912 in a month), fuel cell heavy vehicles (estimating maximum of 957 heavy trucks in a month) and passenger cars (6698 as the highest number of cars in a month), highlighting the compatibility of agrivoltaics with clean mobility solutions.</div><div>By addressing critical global challenges, this work demonstrates the synergy between agrivoltaics and hydrogen technologies, integration of battery storage ensures reliable system operation, while compatibility with multiple vehicles' charging strategies practically of off-grid, renewable-powered mobility. The findings offer a compelling blueprint for sustainable development, supporting progress towards multiple United Nations Sustainable Development Goals (SDGs). This study, therefore, establishes new benchmarks for scalable, climate-adaptive solutions that simultaneously advance clean electricity, hydrogen fuel production, and sustainable agriculture.</div></div>\",\"PeriodicalId\":101173,\"journal\":{\"name\":\"Solar Compass\",\"volume\":\"16 \",\"pages\":\"Article 100145\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solar Compass\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772940025000402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar Compass","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772940025000402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本研究调查了利用1GW农业发电系统产生的电力的绿色氢（H2）生产的综合评估，重点是在不同的全球气候下为氢燃料电池电动汽车充电。为了比较不同的气候，在四个地点进行了模拟：凤凰城（美国）、埃兴（德国）、胡格利（印度）和康斯坦茨（德国），代表了广泛的太阳辐射剖面和农业环境。先进的作物和太阳能模拟分别使用DSSAT 48和PVsyst 7.4.0进行。根据消费量和种植方法选择特定地点的作物。棉花是凤凰城的主要作物，胡格利是印度西孟加拉邦的主要水稻产区之一。德国是中国最大的市场，红花在德国产花潜力巨大。双面LG电子模块以最佳角度优化发电。以中国为试验作物的康斯坦茨的LER最高，为2.01。在向电解槽提供氢气之前，系统中使用锂离子电池，以减轻农业发电系统带来的功率或电压突然变化的影响。结果显示，太阳能捕获和氢气产量存在显著的地理差异，凤凰城（最高产量为33,487.39 kg/月）和埃兴（最高产量为30,514.04 kg/月）的氢气产量分别最高和最低。该研究评估了这些变化对支持氢燃料车辆车队的影响，包括公共交通商用车（每月最多13,219辆）、小巴（每月最多可加油的车辆数量为30,912辆）、燃料电池重型车辆（估计每月最多957辆重型卡车）和乘用车（每月最多6698辆汽车）。强调农业发电与清洁移动解决方案的兼容性。通过解决关键的全球挑战，这项工作展示了农业发电和氢技术之间的协同作用，电池存储的集成确保了可靠的系统运行，同时兼容多种车辆的充电策略，实际上是离网的，可再生动力的移动。调查结果为可持续发展提供了令人信服的蓝图，支持在实现多个联合国可持续发展目标方面取得进展。因此，这项研究为可扩展的、适应气候变化的解决方案建立了新的基准，同时推进清洁电力、氢燃料生产和可持续农业。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Technical implications of large-scale agrivoltaics farms as an autonomous energy source for hydrogen-powered electric vehicle charging infrastructure

This study investigates a comprehensive assessment of green hydrogen (H₂) production utilising electricity generated from a 1GW agrivoltaics system, with focus on charging hydrogen fuel cell electric vehicles in diverse global climates. To compare various climates, simulations are run for four locations: Phoenix (USA), Eching (Germany), Hooghly (India), and Konstanz (Germany), representing wide range of solar radiation profiles and agricultural contexts. Advanced crop and solar power simulations were performed using DSSAT 48 and PVsyst 7.4.0, respectively. Site-specific crops were chosen depending on the consumption and the cultivation practices. Cotton harvest is a dominant crop in Phoenix, Hooghly is one of the major rice-producing districts in the state of West Bengal, India. Germany is the largest market for chia, and safflower has great potential to produce florets in Germany. Bifacial LG Electronics module at optimal angle to optimise electricity generation. The highest LER obtained was for Konstanz with 2.01, where Chia was used as the test crop. Lithium-ion battery is used in the system before the electricity is supplied to the electrolyser for H₂ production to mitigate the effect of abrupt changes in power or voltage brought on by the agrivoltaics system.

Results reveal significant geographical variability in solar energy capture and hydrogen production, with Phoenix (with the highest production of 33,487.39 kg/month) and Eching (accounting for the highest production of 30,514.04 kg/month) presenting the highest and lowest hydrogen outputs, respectively. The study evaluates the implications of these variations on supporting a fleet of hydrogen-fuelled vehicles ranging from public transport commercial vehicles (13,219 being the highest number in a month), minibuses (maximum number of vehicles that can refuelled being 30,912 in a month), fuel cell heavy vehicles (estimating maximum of 957 heavy trucks in a month) and passenger cars (6698 as the highest number of cars in a month), highlighting the compatibility of agrivoltaics with clean mobility solutions.

By addressing critical global challenges, this work demonstrates the synergy between agrivoltaics and hydrogen technologies, integration of battery storage ensures reliable system operation, while compatibility with multiple vehicles' charging strategies practically of off-grid, renewable-powered mobility. The findings offer a compelling blueprint for sustainable development, supporting progress towards multiple United Nations Sustainable Development Goals (SDGs). This study, therefore, establishes new benchmarks for scalable, climate-adaptive solutions that simultaneously advance clean electricity, hydrogen fuel production, and sustainable agriculture.

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

Solar Compass

自引率

0.00%

发文量