期刊
ENERGY AND BUILDINGS
卷 256, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2021.111697
关键词
LCA; Solar cooling; Adsorption; Environmental impact; SimaPro
资金
- DIPUTACIN PROVINCIAL DE JAEN
- European Union's Horizon 2020 research and innovation programme, through the research project WEDISTRICT [H2020-WIDESPREAD2018-03-857801]
- research project HICOOL [1263034]
Solar heating ventilating air conditioning systems are effective in reducing environmental impact and improving environmental performance, particularly systems based on evaporative cooling and desiccant wheel. Optimal weight and material reuse significantly enhance the environmental performance of experimental systems, leading to a 60% reduction in greenhouse gas emissions potential.
Solar heating ventilating air conditioning systems are useful tools to meet the objectives of the European Commission in terms of sustainability in buildings, since their use can reduce the environmental impact, including CO2 emissions, due to their low energy consumption. In order to quantify the improvement that in environmental terms the use of this type of system could entail, in this work it was carried out (a) a comparative life cycle assessment of a solar heating ventilating air conditioningsystem based on evaporative cooling and desiccant wheel with a conventional direct expansion system; and (b) an analysis of feasible modifications of the desiccant wheel based system and their influence on the life cycle analysis results. The experimental desiccant wheel based system showed a slightly higher environmental performance than the conventional direct expansion based system, between 2% and 10%, for the 3 impact categories evaluated: human health, ecosystem quality and resource consumption. When weight optimisation and the reuse of materials were considered, the environmental performance of the experimental based system became even up to between 22% and 50% higher than that of the conventional direct expansion based system. That involved a 60 % reduction in climate change potential indicator, which mainly was influenced by CO2 emissions. (c) 2021 Elsevier B.V. All rights reserved.
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