Hybrid hydrogen energy storage system assisted by cold storage Rankine Carnot battery for power and heat production: Performance assessment and multi-objective artificial hummingbird optimization algorithm

IF 9.9 1区工程技术 Q1 ENERGY & FUELS

Energy Conversion and Management Pub Date : 2025-05-23 DOI:10.1016/j.enconman.2025.119976

Fateme Norooziyan , Arshiya Noorpoor , Fateme Ahmadi Boyaghchi

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Abstract

Energy storage is an effective solution for solving grid volatility of renewable electricity. The hydrogen energy storage (HES) system is a promising energy storage technology due to the high energy density of hydrogen as an energy storage medium. In this work, a new HES system, including the proton exchange membrane electrolyzer (PEME), the solid oxide fuel cell (SOFC), and the waste heat recovery supercritical CO₂ recompression cycle (SRC) is proposed to produce power and heat load without CO₂ emission. To enhance the roundtrip efficiency of the HES system, a cold energy storage Rankine Carnot battery (CSRCB) based on a vapor compression refrigeration cycle (VCR) and transcritical CO₂ regenerative Rankine cycle (TRC) is introduced to integrate the sub-ambient temperature with SRC and SOFC waste heat. The system’s performance is studied using thermodynamic and economic methods, and the effect of employing CSRCB on the roundtrip efficiency is assessed by defining a new improvement percent (IP) index. A comprehensive parametric assessment and multi-objective artificial hummingbird optimization algorithm (MOAHA) are conducted to find the maximum roundtrip efficiency and discharge power with a minimum product cost rate. According to the results, employing CSRCB enhances the roundtrip efficiency of the HES system by 74.36 % with a 30.38 % increment relative to the base point. In this case, the discharged exergy efficiency increases by 89.88 %, and the economic indicators of product cost rate, levelized cost of storage (LCOS), and payback period (PP) decline to the minimum values of 89.03 $/s, 0.2544 $/kWh and 4.47 years, respectively, with 3.65 M$ net present value (NPV).

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冷库朗肯卡诺电池辅助动力产热混合储氢系统：性能评估与多目标人工蜂鸟优化算法

储能是解决可再生电力电网波动性的有效方案。氢储能（HES）系统是一种很有前途的储能技术，因为氢作为储能介质具有高能量密度。本文提出了一个由质子交换膜电解槽（PEME）、固体氧化物燃料电池（SOFC）和余热回收超临界CO2再压缩循环（SRC）组成的新型HES系统，以产生无CO2排放的电力和热负荷。为了提高HES系统的往返效率，引入了一种基于蒸汽压缩制冷循环（VCR）和跨临界CO2再生朗肯循环（TRC）的冷储能朗肯卡诺电池（CSRCB），将亚环境温度与SRC和SOFC余热相结合。采用热力学和经济学方法对系统性能进行了研究，并通过定义新的改进百分比（IP）指标来评估采用CSRCB对往返效率的影响。采用综合参数评价和多目标人工蜂鸟优化算法（MOAHA），寻找产品成本率最小的最大往返效率和放电功率。结果表明，采用CSRCB可使HES系统的往返效率提高74.36%，相对于基点提高30.38%。在这种情况下，排放的火用效率提高了89.88%，产品成本率、平准化储能成本（LCOS）和投资回收期（PP）经济指标分别降至最小值89.03美元/秒、0.2544美元/千瓦时和4.47年，净现值（NPV）为365万美元。

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来源期刊

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.