{"title":"以利益相关者为中心的高效区域供热模式:意大利东北部的网络互连和工业废热","authors":"Mattia Cottes, Antonella Meneghetti, Patrizia Simeoni","doi":"10.1016/j.seta.2025.104431","DOIUrl":null,"url":null,"abstract":"<div><div>The study investigates the interconnection of district heating networks as a solution to enhance energy efficiency and accelerate the decarbonisation of thermal systems. The research focuses on analysing the environmental and economic performance resulting from the integration of two independent district heating networks located within the same urban area and supplied by industrial heat sources and cogeneration systems. To this aim a mathematical model describing the behaviour of the system representing the interconnection of the two district heating networks has been developed. Since different stakeholders are involved in the system, a multi-objective optimization approach is adopted, through a genetic algorithm (MOGA-II). The results of the model application to the case of Udine highlight that the proposed initiative improves system energy efficiency, reduces fossil energy consumption and energy dissipation compared to the current scenario, while ensuring excellent economic performance by lowering energy supply costs. Furthermore, a sensitivity analysis assesses the robustness of the results under variable network conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"81 ","pages":"Article 104431"},"PeriodicalIF":7.1000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stakeholder-centric model for efficient district heating: Networks interconnection and industrial waste heat in north-eastern Italy\",\"authors\":\"Mattia Cottes, Antonella Meneghetti, Patrizia Simeoni\",\"doi\":\"10.1016/j.seta.2025.104431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The study investigates the interconnection of district heating networks as a solution to enhance energy efficiency and accelerate the decarbonisation of thermal systems. The research focuses on analysing the environmental and economic performance resulting from the integration of two independent district heating networks located within the same urban area and supplied by industrial heat sources and cogeneration systems. To this aim a mathematical model describing the behaviour of the system representing the interconnection of the two district heating networks has been developed. Since different stakeholders are involved in the system, a multi-objective optimization approach is adopted, through a genetic algorithm (MOGA-II). The results of the model application to the case of Udine highlight that the proposed initiative improves system energy efficiency, reduces fossil energy consumption and energy dissipation compared to the current scenario, while ensuring excellent economic performance by lowering energy supply costs. Furthermore, a sensitivity analysis assesses the robustness of the results under variable network conditions.</div></div>\",\"PeriodicalId\":56019,\"journal\":{\"name\":\"Sustainable Energy Technologies and Assessments\",\"volume\":\"81 \",\"pages\":\"Article 104431\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Technologies and Assessments\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213138825002620\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825002620","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Stakeholder-centric model for efficient district heating: Networks interconnection and industrial waste heat in north-eastern Italy
The study investigates the interconnection of district heating networks as a solution to enhance energy efficiency and accelerate the decarbonisation of thermal systems. The research focuses on analysing the environmental and economic performance resulting from the integration of two independent district heating networks located within the same urban area and supplied by industrial heat sources and cogeneration systems. To this aim a mathematical model describing the behaviour of the system representing the interconnection of the two district heating networks has been developed. Since different stakeholders are involved in the system, a multi-objective optimization approach is adopted, through a genetic algorithm (MOGA-II). The results of the model application to the case of Udine highlight that the proposed initiative improves system energy efficiency, reduces fossil energy consumption and energy dissipation compared to the current scenario, while ensuring excellent economic performance by lowering energy supply costs. Furthermore, a sensitivity analysis assesses the robustness of the results under variable network conditions.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.