PSAT：一个基于知识的决策支持工具，用于选择被动能源消耗优化策略

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings Pub Date : 2025-05-08 DOI:10.1016/j.enbuild.2025.115849

Amirhossein Balali, Akilu Yunusa-Kaltungo

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引用次数: 0

摘要

鉴于建筑在全球能源消耗（约40%）和温室气体排放（约33%）中所占的巨大份额，实现净零能耗目标与建筑相关活动的优化密切相关。主动系统的大量能源需求，如用于加热和冷却的能量回收通风系统，近年来越来越多的研究工作指向被动设计策略的调查。为建筑选择最可持续的被动式能源消耗优化策略是一项复杂而具有挑战性的任务，因为它需要考虑多种标准，包括技术、经济和社会因素。因此，本研究旨在开发一个基于知识的决策支持工具，名为PSAT，用于建筑物被动策略的选择。首先，确定了采用被动策略的驱动因素和障碍，选择被动策略所涉及的标准，以及现有的被动策略。在此基础上，提出了一种基于平均解距离（EDAS）的混合评价和基于准则间相关性（CRITIC）的准则重要性评价的多准则决策（MCDM）算法。然后，使用CustomTkinter为PSAT开发了图形用户界面（GUI），这是一个创新的、可定制的Python UI库，允许设计现代界面，为决策者提供了一个更友好的环境。然后，PSAT经过专家验证，获得了4.76分（满分5分）的效率分。最后，进行了专题分析，以确定验证专家就PSAT的未来发展提供的建议中的关键主题。这一工具可以极大地促进从业者选择被动策略，从而促进关键可持续发展目标（sdg）的实现，特别是“可持续城市和社区”。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

PSAT: A knowledge-based decision support tool for selecting passive energy consumption optimisation strategies in buildings

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PSAT: A knowledge-based decision support tool for selecting passive energy consumption optimisation strategies in buildings

Achieving net-zero energy targets is closely linked to the optimisation of building-related activities, given their significant share in global energy consumption (approximately 40%) and greenhouse gas emissions (around 33%). The substantial energy demands of active systems, such as energy recovery ventilation systems for heating and cooling, have increasingly directed research efforts towards the investigation of passive design strategies in recent years. Selecting the most sustainable passive energy consumption optimisation strategy for buildings is a complex and challenging task for practitioners, as it requires the consideration of multiple criteria, including technical, economic, and social factors. Therefore, this study aims to develop a knowledge-based decision support tool titled the PSAT for the selection of passive strategies for buildings. Initially, drivers and barriers to the adoption of passive strategies, the criteria involved in the selection of passive strategies, and the existing passive strategies were identified. This was followed by generating a novel multiple criteria decision-making (MCDM) algorithm by hybridising evaluation based on distance from average solution (EDAS) and criteria importance through inter criteria correlation (CRITIC) methods. Then, graphical user interface (GUI) was developed for the PSAT using CustomTkinter, an innovative and customisable Python UI library which allows for the design of modern interfaces, providing a more user-friendly environment for decision-makers. The PSAT was then validated by experts and obtained the efficiency score of 4.76 out of 5. Finally, a thematic analysis was performed to identify the key themes within the suggestions provided by the validating experts regarding future development of the PSAT. This tool can considerably facilitate the selection of passive strategies for practitioners, consequently enhancing the realisation of critical Sustainable Development Goals (SDGs), especially “Sustainable Cities and Communities”.

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来源期刊

Energy and Buildings 工程技术-工程：土木

CiteScore

12.70

自引率

11.90%

发文量

863

审稿时长

38 days

期刊介绍： An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.