@inproceedings{699d514ac2e047cfaf6ac3a968a6e922,
title = "Energy Performance Optimisation of Low-Rise Lightweight Steel-Frame Houses by Evolutionary Approach",
abstract = "China is in the process of expanding its stock of low-rise LSF buildings in suburban and rural areas. This construction system is underused compared with most developed countries, but the number of low-rise steel-framed residential buildings is projected to increase due to the current national policies promoting rural green steel-framed houses. The building envelope is the most influential design factor in energy performance, and to better understand the effects of design decisions, this article investigates its optimisation by jEPlus + EA (EnergyPlus simulation manager for parametric + Evolutionary Algorithms). The objective functions are to minimise heating and cooling needs. The variables describe the main envelope components of a low-rise lightweight steel-frame house. The results confirm a significant potential for energy saving in comparison to different benchmark specifications and demonstrate the effectiveness of the method tested in the study.",
keywords = "Building Energy Performance, Design Optimisation, Evolutionary Algorithms, Lightweight Steel-Frame Houses, Low-rise Housing",
author = "Yang Yang and Marco Cimillo and Xi Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.; 2nd International Conference on Green Building, Civil Engineering and Smart City, GBCESC 2023 ; Conference date: 09-06-2023 Through 12-06-2023",
year = "2024",
doi = "10.1007/978-981-99-9947-7_51",
language = "English",
isbn = "978-981-99-9946-0",
series = "Lecture Notes in Civil Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "489--497",
editor = "Wei Guo and Kai Qian and Honggang Tang and Lei Gong",
booktitle = "Proceedings of the 2023 International Conference on Green Building, Civil Engineering and Smart City",
}