{"title":"Optimal design of hybrid multigeneration systems to enhance sustainability in the residential sector","authors":"Patrizia Beraldi, Angelo Algieri, Gennaro Lavia","doi":"10.1016/j.compchemeng.2025.109051","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"198 ","pages":"Article 109051"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135425000559","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.