A strategy for reducing CO2 emissions from buildings with the Kaya identity - A Swiss energy system analysis and a case study

被引:57
|
作者
Mavromatidis, Georgios [1 ,2 ]
Orehounig, Kristina [1 ,2 ]
Richner, Peter [3 ]
Carmeliet, Jan [1 ,4 ]
机构
[1] ETH, Chair Bldg Phys, Swiss Fed Inst Technol Zurich, CH-8093 Zurich, Switzerland
[2] EMPA, Lab Urban Energy Syst, Swiss Fed Labs Mat Sci & Technol, Dubendorf, Switzerland
[3] EMPA, Dept Civil & Mech Engn, Swiss Fed Labs Mat Sci & Technol, Dubendorf, Switzerland
[4] EMPA, Laboratoly Multiscale Studies Bldg Phys, Swiss Fed Labs Mat Sci & Technol, Dubendorf, Switzerland
关键词
Maya identity; Decomposition analysis; Switzerland; Building stock; Energy efficiency; Energy strategy; DECOMPOSITION; MITIGATION; DRIVERS;
D O I
10.1016/j.enpol.2015.10.037
中图分类号
F [经济];
学科分类号
02 ;
摘要
Within the general context of Greenhouse Gas (GHG) emissions reduction, decomposition analysis allows the quantification of the contribution of different factors to changes in emissions as well as the assessment of the effectiveness of policy and technology measures. The Kaya identity has been widely used for that purpose in order to disaggregate carbon emissions into various driving forces. In this paper, it is applied for the analysis of emissions resulting from energy use at three different scales. First, a decomposition analysis of the carbon emissions for the complete Swiss energy system is presented using the future projections from the Swiss Energy Strategy 2050. The Kaya identity is then applied to the Swiss building sector after it is adapted with factors that are more relatable to building parameters, such as floor area instead of Gross Domestic Product (GDP). Finally, the last level of analysis is a small scale community energy system for a unique Swiss village that aims to significantly reduce its emissions. An energy strategy is developed and its effectiveness is assessed with the adapted Kaya identity and benchmarked against the Swiss average values. The presented method demonstrates how the performance of buildings under various retrofitting scenarios can be benchmarked against future emission targets. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:343 / 354
页数:12
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