Green hydrogen production and storage via excess energy derived from a hybrid power system under different climatic conditions: Cameroon case study

IF 9.9 1区 工程技术 Q1 ENERGY & FUELS
Yemeli Wenceslas Koholé, Blaise Romuald Ngopgang, Fodoup Cyrille Vincelas Fohagui, Clint Ameri Wankouo Ngouleu, Ghislain Tchuen
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引用次数: 0

Abstract

Growing energy demands and environmental concerns underscore the need for sustainable power solutions, especially in regions with diverse climatic and energy requirements like Cameroon. This study evaluates a self-sufficient hybrid energy system designed to meet three distinct electricity demands: rural residential load, multimedia institutional load, and medical facility load across various climatic conditions in Cameroon, including locations such as Bafoussam, Mbouda, Ngaoundéré, Garoua, Maroua, and Logone-Birni. The system, which integrates wind turbines, photovoltaic panels, an electrolyser, a hydrogen tank, and a fuel cell, is engineered to produce and store excess hydrogen in a secondary tank once the primary hydrogen storage tank is full and the energy needs are met. To determine the optimal system configuration, three evolutionary optimization algorithms namely the teaching–learning-based optimization, colliding bodies optimization, and water evaporation optimization algorithms were employed. The effectiveness of these algorithms was evaluated based on their ability to minimize the system’s net present cost. The optimization process compared various hybrid energy system setups, including photovoltaic/fuel cell, Wind/fuel cell, and photovoltaic/Wind/fuel cell, with regard to net present cost, levelized cost of energy, reduction in carbon dioxide emissions, and performance metrics such as the mass, volume, and levelized cost of hydrogen stored in the secondary hydrogen storage tank. Key findings reveal that the teaching–learning-based optimization algorithm outperforms the others, with the photovoltaic/Wind/fuel cell setup achieving the most favorable net present cost values of $188,024.35, $237,986.44, and $141,409.71 for rural residential, multimedia institutional, and medical facility loads, respectively, particularly in Maroua. This configuration also offers the lowest levelized cost of energy, ranging from $1.74/kWh, $0.94/kWh, and $1.60/kWh in Maroua to $1.93/kWh, $1.06/kWh, and $1.80/kWh in Mbouda for the respective profiles. Hydrogen production was most cost-effective in the photovoltaic/fuel cell configuration, with Mbouda demonstrating the highest annual hydrogen yields for all profiles, at levelized cost of hydrogen values of $10.13/kg, $8.91/kg, and $24.61/kg for the rural residential, multimedia institutional, and medical facility loads profiles, respectively. Notably, the Wind/fuel cell configuration consistently reduced carbon dioxide emissions compared to traditional fuel oil and natural gas power plants, achieving reductions of up to 12.17 tons per year for the rural residential in Bafoussam. These insights underscore the potential of hybrid renewable energy systems to support sustainable energy strategies in Cameroon, providing a valuable framework for policymakers and stakeholders in the energy sector.
在不同气候条件下,通过混合动力系统产生的多余能量生产和储存绿色氢:喀麦隆案例研究
不断增长的能源需求和环境问题凸显了对可持续电力解决方案的需求,特别是在像喀麦隆这样气候和能源需求多样化的地区。本研究评估了一种自给自足的混合能源系统,该系统旨在满足喀麦隆不同气候条件下的三种不同电力需求:农村居民负荷、多媒体机构负荷和医疗设施负荷,包括巴福萨姆、姆布达、恩翁德-萨达、加鲁阿、马鲁阿和洛贡-比尼等地。该系统集成了风力涡轮机、光伏板、电解槽、氢储罐和燃料电池,一旦主储氢罐充满并满足能源需求,该系统就会产生多余的氢并将其储存在二次储罐中。为了确定系统的最优配置,采用了基于教-学的优化算法、碰撞体优化算法和水分蒸发优化算法三种进化优化算法。这些算法的有效性是根据其最小化系统净当前成本的能力来评估的。优化过程比较了各种混合能源系统设置,包括光伏/燃料电池、风能/燃料电池和光伏/风能/燃料电池,涉及净现值成本、能源平准化成本、二氧化碳排放量的减少,以及二次储氢罐中储存的氢的质量、体积和平准化成本等性能指标。主要研究结果显示,基于教学-学习的优化算法优于其他算法,光伏/风能/燃料电池设置在农村住宅、多媒体机构和医疗设施负载方面分别获得了最有利的净现值,分别为188,024.35美元、237,986.44美元和141,409.71美元,尤其是在Maroua。这种配置还提供了最低的能源成本,从Maroua的1.74美元/千瓦时、0.94美元/千瓦时和1.60美元/千瓦时到Mbouda的1.93美元/千瓦时、1.06美元/千瓦时和1.80美元/千瓦时。氢气生产在光伏/燃料电池配置中最具成本效益,Mbouda在所有配置中显示出最高的年氢气产量,在农村住宅、多媒体机构和医疗设施负载配置中,氢气的平均成本分别为10.13美元/公斤、8.91美元/公斤和24.61美元/公斤。值得注意的是,与传统的燃油和天然气发电厂相比,风能/燃料电池配置持续减少了二氧化碳排放,为巴福萨姆的农村居民实现了每年高达12.17吨的减排。这些见解强调了混合可再生能源系统支持喀麦隆可持续能源战略的潜力,为能源部门的决策者和利益相关者提供了一个有价值的框架。
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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.
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