{"title":"为未来设计小型温室:能源效率和适应性评估","authors":"Lisheng Chen","doi":"10.1186/s42162-025-00548-y","DOIUrl":null,"url":null,"abstract":"<div><p>With the global building energy consumption accounting for nearly 40% and the housing demand rising sharply due to population growth and accelerated urbanization, small green housing has attracted much attention as a key model for sustainable development. This study focuses on the design of small green housing for the future, aiming to comprehensively evaluate its energy efficiency and adaptability. By constructing an innovative comprehensive evaluation model SGH-EAM, integrating energy efficiency evaluation components, adaptability evaluation components and fusion decision components, the model is derived using multidisciplinary theories such as thermodynamics, heat transfer, and ergonomics. Experiments were conducted on small green housing cases in 100 different regions, and compared with models such as EEM-GH and SA-HM. The results show that the SGH-EAM model performs well in energy efficiency, with an average annual heating energy consumption reduction rate of 30%, cooling energy consumption reduction of 25%, and lighting energy consumption reduction of 35%. In terms of adaptability, the spatial adjustable flexibility has a comprehensive score of 80 points. The comprehensive evaluation score is 83 points, which is significantly higher than other models. Research shows that the SGH-EAM model can effectively improve the accuracy of small green housing assessment, provide a comprehensive theoretical basis for its design, and promote the development of housing construction towards a green, intelligent and sustainable direction.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00548-y","citationCount":"0","resultStr":"{\"title\":\"Designing small green houses for the future: energy efficiency and adaptability assessment\",\"authors\":\"Lisheng Chen\",\"doi\":\"10.1186/s42162-025-00548-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the global building energy consumption accounting for nearly 40% and the housing demand rising sharply due to population growth and accelerated urbanization, small green housing has attracted much attention as a key model for sustainable development. This study focuses on the design of small green housing for the future, aiming to comprehensively evaluate its energy efficiency and adaptability. By constructing an innovative comprehensive evaluation model SGH-EAM, integrating energy efficiency evaluation components, adaptability evaluation components and fusion decision components, the model is derived using multidisciplinary theories such as thermodynamics, heat transfer, and ergonomics. Experiments were conducted on small green housing cases in 100 different regions, and compared with models such as EEM-GH and SA-HM. The results show that the SGH-EAM model performs well in energy efficiency, with an average annual heating energy consumption reduction rate of 30%, cooling energy consumption reduction of 25%, and lighting energy consumption reduction of 35%. In terms of adaptability, the spatial adjustable flexibility has a comprehensive score of 80 points. The comprehensive evaluation score is 83 points, which is significantly higher than other models. Research shows that the SGH-EAM model can effectively improve the accuracy of small green housing assessment, provide a comprehensive theoretical basis for its design, and promote the development of housing construction towards a green, intelligent and sustainable direction.</p></div>\",\"PeriodicalId\":538,\"journal\":{\"name\":\"Energy Informatics\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00548-y\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s42162-025-00548-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Informatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s42162-025-00548-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Energy","Score":null,"Total":0}
Designing small green houses for the future: energy efficiency and adaptability assessment
With the global building energy consumption accounting for nearly 40% and the housing demand rising sharply due to population growth and accelerated urbanization, small green housing has attracted much attention as a key model for sustainable development. This study focuses on the design of small green housing for the future, aiming to comprehensively evaluate its energy efficiency and adaptability. By constructing an innovative comprehensive evaluation model SGH-EAM, integrating energy efficiency evaluation components, adaptability evaluation components and fusion decision components, the model is derived using multidisciplinary theories such as thermodynamics, heat transfer, and ergonomics. Experiments were conducted on small green housing cases in 100 different regions, and compared with models such as EEM-GH and SA-HM. The results show that the SGH-EAM model performs well in energy efficiency, with an average annual heating energy consumption reduction rate of 30%, cooling energy consumption reduction of 25%, and lighting energy consumption reduction of 35%. In terms of adaptability, the spatial adjustable flexibility has a comprehensive score of 80 points. The comprehensive evaluation score is 83 points, which is significantly higher than other models. Research shows that the SGH-EAM model can effectively improve the accuracy of small green housing assessment, provide a comprehensive theoretical basis for its design, and promote the development of housing construction towards a green, intelligent and sustainable direction.