偏远印度社区分散式能源系统的可再生储氢途径:技术综述、优化策略和政策观点

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY
Results in Engineering Pub Date : 2026-03-01 Epub Date: 2025-12-01 DOI:10.1016/j.rineng.2025.108525
Beemkumar Nagappan , K Narsimha Reddy , Parin Patel , Santhosh MB , Santosh Singh , Sanghamitra Pradhan , Ritesh Pratap Singh , Kamakshi Priya K
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引用次数: 0

摘要

印度的偏远社区主要依赖柴油和传统的生物质能,这导致了高昂的成本和大量的排放。电池仅在短时间内有效,而抽水蓄能面临地理限制,这使得氢成为季节性和可运输能源储存的有希望的替代方案。氢的比能量为33.6 kWh kg - 1,特别适合分散的微电网配置。这篇综述整合了多种储氢技术,包括压缩、液体和固态,以及可再生生产途径,如太阳能、风能电解和生物质气化,特别针对印度农村地区。根据系统评价和荟萃分析(PRISMA)协议的首选报告项并使用预定义的布尔运算符进行系统搜索,产生了120项相关研究。这项工作严格检查优化策略,包括线性和混合整数线性规划,随机和动态模型,以及多目标进化算法,并结合人工智能(AI)和机器学习(ML)的最新进展,以改进预测和操作控制。主要障碍包括高昂的资本成本、压缩和液化过程中的能源损失以及农村地区的政策支持有限。机会存在于模块化能源中心、本土制造和有针对性的激励措施中。提出了一个综合的概念框架,以协调技术、经济、环境和社会方面的关系,确定加快氢采用的战略重点,并支持印度到2070年实现净零排放目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable Hydrogen storage pathways for decentralized energy systems in remote Indian communities: A review of technologies, optimization strategies, and policy perspectives
Remote communities in India predominantly depend on diesel and conventional biomass, resulting in high costs and significant emissions. Batteries are effective only for short-duration applications, while pumped-hydro storage faces geographical constraints, making hydrogen a promising alternative for seasonal and transportable energy storage. With a specific energy of 33.6 kWh kg⁻¹, hydrogen is particularly suited to decentralized microgrid configurations. This review integrates diverse hydrogen storage technologies, compressed, liquid, and solid-state, with renewable production pathways such as solar and wind electrolysis and biomass gasification, specifically targeting rural Indian contexts. A systematic search, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols and using predefined Boolean operators, yielded 120 relevant studies. This work critically examines optimization strategies, including linear and mixed-integer linear programming, stochastic and dynamic models, and multi-objective evolutionary algorithms, combined with recent advances in artificial intelligence (AI) and machine learning (ML) for improved forecasting and operational control. Comparative case studies highlight transitions such as photovoltaic-to-hydrogen in Ladakh, wind-to-hydrogen in Gujarat, and biomass-to-hydrogen combined heat and power in Northeast India, revealing performance metrics and implementation bottlenecks. Key barriers include high capital costs, energy losses during compression and liquefaction, and limited policy support in rural areas. Opportunities exist in modular energy hubs, indigenous manufacturing, and targeted incentives. A synthesized conceptual framework is proposed to align techno-economic, environmental, and social dimensions, identifying strategic priorities to accelerate hydrogen adoption and support India’s net-zero emissions target by 2070.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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