Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules
This paper uses a perspective of life cycle ecological emergy and carbon footprint to quantitatively verify the sustainable status of building systems; it also employs a neural network model to predict and analyze their long-term ecological and carbon footprint effects. The research results show tha...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/2/151 |
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| author | Junxue Zhang Zhihong Pan Yingnan Li |
| author_facet | Junxue Zhang Zhihong Pan Yingnan Li |
| author_sort | Junxue Zhang |
| collection | DOAJ |
| description | This paper uses a perspective of life cycle ecological emergy and carbon footprint to quantitatively verify the sustainable status of building systems; it also employs a neural network model to predict and analyze their long-term ecological and carbon footprint effects. The research results show that the stages of building material production and building operation play a major role in the emergy and carbon emissions of the entire building system, and their changes show an inverse trend. As the building system operates, the greater the system loss and consumption, the environmental load rate (ELR) will gradually increase, and the sustainability parameter (ESI) will also gradually decrease. The integration of energy storage modules significantly improves the sustainability of the building system. When calculated over five time periods (5 years, 10 years, 20 years, 30 years, and 50 years), the overall carbon emission reduction rates after adding the energy storage module are 39.4%, 33.6%, 39.2%, 42.5%, and 38.8% respectively, demonstrating that the energy storage module has a significant positive effect on the sustainability of the building system. This study reveals the energy efficiency and environmental impact of the building system throughout its entire life cycle, providing a scientific basis for optimizing building design. |
| format | Article |
| id | doaj-art-6667956578c34fef8fc89d858d26b682 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-6667956578c34fef8fc89d858d26b6822025-01-24T13:25:58ZengMDPI AGBuildings2075-53092025-01-0115215110.3390/buildings15020151Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage ModulesJunxue Zhang0Zhihong Pan1Yingnan Li2School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaSchool of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaOJeong Resilience Institute, Korea University, Seoul 02841, Republic of KoreaThis paper uses a perspective of life cycle ecological emergy and carbon footprint to quantitatively verify the sustainable status of building systems; it also employs a neural network model to predict and analyze their long-term ecological and carbon footprint effects. The research results show that the stages of building material production and building operation play a major role in the emergy and carbon emissions of the entire building system, and their changes show an inverse trend. As the building system operates, the greater the system loss and consumption, the environmental load rate (ELR) will gradually increase, and the sustainability parameter (ESI) will also gradually decrease. The integration of energy storage modules significantly improves the sustainability of the building system. When calculated over five time periods (5 years, 10 years, 20 years, 30 years, and 50 years), the overall carbon emission reduction rates after adding the energy storage module are 39.4%, 33.6%, 39.2%, 42.5%, and 38.8% respectively, demonstrating that the energy storage module has a significant positive effect on the sustainability of the building system. This study reveals the energy efficiency and environmental impact of the building system throughout its entire life cycle, providing a scientific basis for optimizing building design.https://www.mdpi.com/2075-5309/15/2/151sustainable analysisLCA-emergy and carbon emissionneural network methodenergy storage module |
| spellingShingle | Junxue Zhang Zhihong Pan Yingnan Li Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules Buildings sustainable analysis LCA-emergy and carbon emission neural network method energy storage module |
| title | Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules |
| title_full | Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules |
| title_fullStr | Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules |
| title_full_unstemmed | Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules |
| title_short | Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules |
| title_sort | analysis of the lca emergy and carbon emissions sustainability assessment of a building system with coupled energy storage modules |
| topic | sustainable analysis LCA-emergy and carbon emission neural network method energy storage module |
| url | https://www.mdpi.com/2075-5309/15/2/151 |
| work_keys_str_mv | AT junxuezhang analysisofthelcaemergyandcarbonemissionssustainabilityassessmentofabuildingsystemwithcoupledenergystoragemodules AT zhihongpan analysisofthelcaemergyandcarbonemissionssustainabilityassessmentofabuildingsystemwithcoupledenergystoragemodules AT yingnanli analysisofthelcaemergyandcarbonemissionssustainabilityassessmentofabuildingsystemwithcoupledenergystoragemodules |