Positive Impacts of Demand and Source Management on Improving Eco-Emission Constraints of Combined Hydrogen, Heat and Power

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2025-04-17 DOI:10.1049/stg2.70011
Mojtaba Pirmohammad Talatape, Reza Ghanizadeh, Sajad Bagheri, Mohammad Reza Miveh
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引用次数: 0

Abstract

Cogeneration sources are good choices for meeting the diversity of consumers energy demand. Recently, with the introduction of the microgrid (MG) concept, to increase security, reliability, and quality of the system, loads are fed locally by low-scale generation units. In this work, a Combined Hydrogen, Heat, and Power (CHHP)-based MG (CHHP-MG) is presented. The impacts of employing demand and resource management approaches are analysed in terms of benefits and pollution aspects of the operational problem. To conduct a comprehensive study, management approaches are employed for two different constructions of CHHP. To solve the demand-side management problem, a combination of the Sunflower Optimisation Algorithm and an Analytic Hierarchy Process (AHP) is used. The numerical results indicate that the proposed demand-side management method performs well in improving the economic and environmental indices of the MG. Specifically, the simulation of the proposed model demonstrates a 3% reduction in total pollution on the demand side, a 42% reduction on the energy resource management side, and a 44% reduction on both the demand and energy resource management sides. Meanwhile, economic profit increased by 34.19% on the demand side, 49.2% on the energy resource management side, and 70% when both the demand and energy resource management sides were applied.

Abstract Image

需求与源管理对改善氢热电联产生态排放约束的积极影响
热电联产是满足消费者能源需求多样化的良好选择。最近,随着微电网(MG)概念的引入,为了提高系统的安全性、可靠性和质量,负荷由小规模发电机组在本地供电。在这项工作中,提出了一种基于氢、热、电(CHHP)的复合式MG (CHHP-MG)。采用需求和资源管理方法的影响在效益和污染方面的操作问题进行了分析。为了进行全面的研究,采用了两种不同的管理方法来构建CHHP。为了解决需求侧管理问题,使用了向日葵优化算法和层次分析法(AHP)的组合。数值结果表明,提出的需求侧管理方法对改善MG的经济和环境指标有较好的效果。具体来说,对所提出模型的模拟表明,需求侧总污染减少了3%,能源资源管理侧减少了42%,需求和能源资源管理侧都减少了44%。同时,需求侧经济利润增长34.19%,能源资源管理侧经济利润增长49.2%,需求侧和能源资源管理侧同时应用时经济利润增长70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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