IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Patrizia Beraldi, Angelo Algieri, Gennaro Lavia
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引用次数: 0

摘要

对可持续能源解决方案的需求日益增长,这就要求我们采用创新方法来平衡环境和经济目标。本研究提出了一个综合优化框架,用于设计和管理住宅领域的混合多发电系统。建议的系统集成了可再生能源和不可再生能源技术、储能装置和电动汽车电池,实现了成本最小化和温室气体减排的双目标。意大利一个住宅小区的案例研究证明了该模型的有效性,与传统系统相比,该模型可显著节约成本并减少排放。研究结果凸显了最优配置、权衡以及决策者可操作的见解。这项工作为加快住宅建筑采用可持续能源系统和实现碳中性目标提供了宝贵的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimal design of hybrid multigeneration systems to enhance sustainability in the residential sector

Optimal design of hybrid multigeneration systems to enhance sustainability in the residential sector
The growing demand for sustainable energy solutions necessitates innovative approaches that balance environmental and economic goals. This study proposes a comprehensive optimization framework for designing and managing hybrid multigeneration systems in the residential sector. The proposed system integrates renewable and non-renewable energy technologies, energy storage devices, and electric vehicle batteries, addressing bi-objective goals of cost minimization and greenhouse gas emission reduction. A case study of a residential complex in Italy demonstrates the model’s efficacy, achieving significant cost savings and emission reductions compared to conventional systems. The results highlight optimal configurations, trade-offs, and actionable insights for decision-makers. This work provides a valuable tool for accelerating the adoption of sustainable energy systems and achieving carbon-neutrality targets in residential buildings.
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
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