首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Personal Metabolism (PM) coupled with Life Cycle Assessment (LCA) model: Danish Case Study
Institution:1. Quantitative Sustainability Assessment Division, Department of Management Engineering, Technical University of Denmark (DTU), Produktionstorvet 424, DK-2800 Kgs. Lyngby, Denmark;2. Department of Psychology and Behavioral Sciences, BSS, Aarhus University, Denmark;1. Institute of Environmental Sciences (CML), Einsteinweg 2, 2333CC Leiden, the Netherlands;2. The Netherlands Organization for Applied Scientific Research (TNO), Anna van Buerenplein 1, 2595 DA The Hague, the Netherlands;1. Norwegian Institute of Public Health, P.O. Box 4404, Nydalen, NO-0403 Oslo, Norway;2. Norwegian Institute of Public Health (NIPH), P.O. Box 4404, Nydalen, NO-0403 Oslo, Norway;3. Bjørknes College, Lovisenberggata 13, NO-0456 Oslo, Norway
Abstract:Sustainable and informed resource consumption is the key to make everyday living sustainable for entire populations. An intelligent and strategic way of addressing the challenges related with sustainable development of the everyday living of consumers is to identify consumption-determined hotspots in terms of environmental and health burdens, as well as resource consumptions. Analyzing consumer life styles in terms of consumption patterns in order to identify hotspots is hence the focus of this study. This is achieved by taking into account the entire value chain of the commodities consumed in the context of environmental and human health burdens, as well as resource consumptions. A systematic commodity consumption, commodity disposal, and life style survey of 1281 persons living in urbanized Danish areas was conducted. The findings of the survey showed new impact dimensions in terms of Personal Metabolism (PM) patterns of residents living in urbanized areas of Denmark. Extending the PM analysis with Life Cycle Assessment (LCA) provided a clear picture of the per capita environmental and human health burdens, as well as resource consumptions, and the exact origin hereof.A generic PM-LCA Model for all the 1281 persons was set-up in Gabi 6. The assessment results obtained applying the model on all 1281 personal consumption scenarios yielded the 1281 Personal Impact Profiles (PIPs). Consumption of food and energy (electricity and thermal energy) proved to be the primary impact sources of PM, followed by transport. The PIPs further revealed that behavioral factors (e.g. different diets, use of cars, household size) affect the profiles. Hence, behavioral changes are one means out of many that humanity will most likely have to rely on during the sustainable development process. The results of this study will help the Danish and other comparable populations to identify and prioritize the steps towards reducing their environmental, human health, and resource consumption burdens.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号