Optimizing hybrid energy systems for remote Australian communities: The role of tilt angle in cost-effective green hydrogen production

IF 11 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2025-08-01 Epub Date: 2025-04-15 DOI:10.1016/j.apenergy.2025.125921
Tushar Kanti Roy , Sajeeb Saha , Amanullah Maung Than Oo
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Abstract

This study investigates hybrid energy systems (HESs) integrating photovoltaic (PV) panels, batteries, fuel cells (FCs), electrolyzers (ELs), and hydrogen tanks (HTs) to address the energy needs of remote Australian communities. Two configurations are analyzed: Type-A (PV/Batt/FC/EL/HT) and Type-B (PV/FC/EL/HT), focusing on cost-efficiency, energy reliability, and hydrogen production. Several optimization techniques, including the cuckoo search algorithm, non-dominated sorting genetic algorithm-II (NSGA-II), and sequential quadratic programming algorithm (SQPA), flower pollination algorithm, constrained PSO, and harmony search algorithm, are employed to determine optimal system configurations. Type-A emerges as the most cost-effective configuration when optimized with NSGA-II, achieving a net present cost (NPC) of $226,500, a levelized cost of electricity (LCOE) of $0.193/kWh, and a levelized cost of hydrogen (LCOH) of $4.88/kg. Battery integration in Type-A enhances both cost-efficiency and energy reliability. For hydrogen-focused applications, SQPA yields the highest hydrogen production at 4737 kg/year, supported by higher EL (14 kW) and FC (18.63 kW) capacities. System efficiency is found to be highly sensitive to PV tilt angle, with 30 identified as optimal. Increasing the tilt to 70 can raise system costs by up to 75 %. Sensitivity analyses reveal that improving component efficiencies dramatically impacts costs. For example, increasing fuel cell efficiency from 40 % to 60 % reduces NPC, LCOE, and LCOH by $40,000, $0.04/kWh, and $0.1/kg, respectively, especially in Type-A systems. Collectively, adjustments to PV tilt angles and component efficiencies can reduce overall costs by up to 40 %. These insights offer a strategic foundation for designing HESs that balance electricity and hydrogen generation, tailored for sustainable operation in off-grid and remote settings.
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为澳大利亚偏远社区优化混合能源系统:倾斜角度在经济高效的绿色制氢中的作用
本研究调查了集成光伏(PV)面板、电池、燃料电池(fc)、电解槽(el)和氢罐(ht)的混合能源系统(HESs),以解决澳大利亚偏远社区的能源需求。分析了两种配置:a型(PV/ bat /FC/EL/HT)和b型(PV/FC/EL/HT),侧重于成本效益、能源可靠性和制氢。采用布谷鸟搜索算法、非支配排序遗传算法- ii (NSGA-II)、顺序二次规划算法(SQPA)、传粉算法、约束粒子群算法和和声搜索算法等优化技术确定系统的最优配置。当与NSGA-II进行优化后,a型成为最具成本效益的配置,实现净当前成本(NPC)为226,500美元,平准化电力成本(LCOE)为0.193美元/千瓦时,平准化氢成本(LCOH)为4.88美元/公斤。a型电池集成提高了成本效率和能源可靠性。对于以氢为重点的应用,SQPA的氢气产量最高,为4737 kg/年,并具有更高的EL(14 kW)和FC(18.63 kW)容量。系统效率对PV倾角高度敏感,30°被认为是最佳的。将倾斜度增加到70°会使系统成本增加高达75% %。敏感性分析表明,提高组件效率会显著影响成本。例如,将燃料电池效率从40% %提高到60% %,可使NPC、LCOE和LCOH分别降低40,000美元、0.04美元/千瓦时和0.1美元/千克,特别是在a型系统中。总的来说,调整光伏倾斜角度和组件效率可以降低高达40% %的总成本。这些见解为设计平衡电力和氢气生产的HESs提供了战略基础,为离网和偏远地区的可持续运行量身定制。
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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