Lighting design of university buildings based on green energy-saving

IF 1.5 4区 工程技术 Q3 ENGINEERING, CIVIL Proceedings of the Institution of Civil Engineers-Engineering Sustainability Pub Date : 2023-08-14 DOI:10.1680/jensu.23.00022
Wei Dong, Shanchuan Pan, Dao Zhou
{"title":"Lighting design of university buildings based on green energy-saving","authors":"Wei Dong, Shanchuan Pan, Dao Zhou","doi":"10.1680/jensu.23.00022","DOIUrl":null,"url":null,"abstract":"The traditional way of designing parameters of university buildings is to give designs based on the experience of designers after surveying the local environment, but this approach is time-consuming and laborious. The research problem of this paper is to quickly optimize the parameters of university buildings with the goal of energy saving. This paper first constructed a model of energy consumption and lighting of university buildings, then used a particle swarm optimization (PSO) algorithm modified by the genetic algorithm to optimize the building parameters, and compared it with the traditional PSO algorithm in a case study. The results were that the PSO algorithm improved by the genetic algorithm converged the building parameter scheme to stability faster, and the scheme fitness value at stability was lower than that of the traditional PSO algorithm, and the improved PSO algorithm required less computation time in optimizing the building parameter scheme.","PeriodicalId":49671,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Engineering Sustainability","volume":"118 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Civil Engineers-Engineering Sustainability","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1680/jensu.23.00022","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

The traditional way of designing parameters of university buildings is to give designs based on the experience of designers after surveying the local environment, but this approach is time-consuming and laborious. The research problem of this paper is to quickly optimize the parameters of university buildings with the goal of energy saving. This paper first constructed a model of energy consumption and lighting of university buildings, then used a particle swarm optimization (PSO) algorithm modified by the genetic algorithm to optimize the building parameters, and compared it with the traditional PSO algorithm in a case study. The results were that the PSO algorithm improved by the genetic algorithm converged the building parameter scheme to stability faster, and the scheme fitness value at stability was lower than that of the traditional PSO algorithm, and the improved PSO algorithm required less computation time in optimizing the building parameter scheme.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于绿色节能的高校建筑照明设计
传统的大学建筑参数设计方法是在考察当地环境后,根据设计师的经验进行设计,但这种方法耗时且费力。本文的研究问题是如何以节能为目标对高校建筑进行参数快速优化。本文首先建立了高校建筑的能耗和照明模型,然后采用遗传算法改进的粒子群优化算法(PSO)对建筑参数进行优化,并与传统的粒子群优化算法进行了实例比较。结果表明:采用遗传算法改进的粒子群算法更快地将建筑参数方案收敛到稳定状态,且稳定状态下的方案适应度值低于传统粒子群算法,优化建筑参数方案所需的计算时间更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.70
自引率
16.70%
发文量
44
审稿时长
>12 weeks
期刊介绍: Engineering Sustainability provides a forum for sharing the latest thinking from research and practice, and increasingly is presenting the ''how to'' of engineering a resilient future. The journal features refereed papers and shorter articles relating to the pursuit and implementation of sustainability principles through engineering planning, design and application. The tensions between and integration of social, economic and environmental considerations within such schemes are of particular relevance. Methodologies for assessing sustainability, policy issues, education and corporate responsibility will also be included. The aims will be met primarily by providing papers and briefing notes (including case histories and best practice guidance) of use to decision-makers, practitioners, researchers and students.
期刊最新文献
Thermal conductivity of an external wall with simulated smart Aerogel insulation system Life cycle based considerations in design of driven piles in sand Establishing preference ranking for town water supply in remote areas: case study in Taiwan Performance evaluation of prefabricated retaining wall systems based on centrifuge tests Urban microclimate analysis: residential block morphology impact on outdoor thermal comfort
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1