{"title":"基于遗传算法和光传感器的室内热能辐射器仿真与室内环境布局可视化设计","authors":"","doi":"10.1016/j.tsep.2024.102903","DOIUrl":null,"url":null,"abstract":"<div><p>With the increasing attention to comfortable living environment and energy efficiency, indoor thermal energy management has become an important task in architectural design. Reasonable heat dissipation system can not only improve indoor comfort, but also reduce energy consumption. The aim of this study is to optimize the layout of indoor heat radiator by genetic algorithm and visualization design of indoor environment combined with light sensor, so as to improve the efficiency and comfort of space heat utilization. The indoor heat dissipation model is established, and the changes of indoor temperature and light are monitored by light sensor in real time. Then genetic algorithm is used to optimize the layout of the radiator, considering the heat distribution and light intensity at different locations. The impact of different design schemes on indoor environment was evaluated through simulation experiments. After many iterations, the optimized radiator layout shows a more uniform heat distribution and significantly improved indoor comfort, and the data from the light sensor provides real-time feedback on the environmental layout, making the design solution more realistic. Therefore, the optimization method based on genetic algorithm can effectively improve the layout efficiency of indoor heat radiator, combined with the application of light sensor, can achieve a more scientific indoor environment design.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of indoor thermal energy radiators and visualization design of indoor environment layout based on genetic algorithm and light sensor\",\"authors\":\"\",\"doi\":\"10.1016/j.tsep.2024.102903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the increasing attention to comfortable living environment and energy efficiency, indoor thermal energy management has become an important task in architectural design. Reasonable heat dissipation system can not only improve indoor comfort, but also reduce energy consumption. The aim of this study is to optimize the layout of indoor heat radiator by genetic algorithm and visualization design of indoor environment combined with light sensor, so as to improve the efficiency and comfort of space heat utilization. The indoor heat dissipation model is established, and the changes of indoor temperature and light are monitored by light sensor in real time. Then genetic algorithm is used to optimize the layout of the radiator, considering the heat distribution and light intensity at different locations. The impact of different design schemes on indoor environment was evaluated through simulation experiments. After many iterations, the optimized radiator layout shows a more uniform heat distribution and significantly improved indoor comfort, and the data from the light sensor provides real-time feedback on the environmental layout, making the design solution more realistic. Therefore, the optimization method based on genetic algorithm can effectively improve the layout efficiency of indoor heat radiator, combined with the application of light sensor, can achieve a more scientific indoor environment design.</p></div>\",\"PeriodicalId\":23062,\"journal\":{\"name\":\"Thermal Science and Engineering Progress\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thermal Science and Engineering Progress\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451904924005213\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thermal Science and Engineering Progress","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451904924005213","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Simulation of indoor thermal energy radiators and visualization design of indoor environment layout based on genetic algorithm and light sensor
With the increasing attention to comfortable living environment and energy efficiency, indoor thermal energy management has become an important task in architectural design. Reasonable heat dissipation system can not only improve indoor comfort, but also reduce energy consumption. The aim of this study is to optimize the layout of indoor heat radiator by genetic algorithm and visualization design of indoor environment combined with light sensor, so as to improve the efficiency and comfort of space heat utilization. The indoor heat dissipation model is established, and the changes of indoor temperature and light are monitored by light sensor in real time. Then genetic algorithm is used to optimize the layout of the radiator, considering the heat distribution and light intensity at different locations. The impact of different design schemes on indoor environment was evaluated through simulation experiments. After many iterations, the optimized radiator layout shows a more uniform heat distribution and significantly improved indoor comfort, and the data from the light sensor provides real-time feedback on the environmental layout, making the design solution more realistic. Therefore, the optimization method based on genetic algorithm can effectively improve the layout efficiency of indoor heat radiator, combined with the application of light sensor, can achieve a more scientific indoor environment design.
期刊介绍：
Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
