000264633 001__ 264633
000264633 005__ 20190812204759.0
000264633 037__ $$aCONF
000264633 245__ $$aEndogenous Energy Efficiency Improvement of Large-Scale Refurbishment in the Swiss Residential Building Stock
000264633 260__ $$c2018-12-10
000264633 269__ $$a2018-12-10
000264633 300__ $$a32
000264633 336__ $$aConference Papers
000264633 520__ $$aIn Switzerland, according to Swiss Federal Office of Energy around 50% of primary energy consumption is attributable to buildings: 30% for heating, air-conditioning and hot water, 14% for electricity and around 6% for construction and maintenance. However, Streicher et al. [2017] show that large-scale energy retrofit of the Swiss residential building stock could result in theoretical energy savings of up 84% of current energy consumption. Of vital importance for energy consumption is the evolution of energy efficiency. In past and current analyses in the field of Swiss energy and climate policies, the speed and extent of energy efficiency improvement is usually set exogenously, i.e., it is assumed to be unaffected even by climate or energy policies designed to foster innovation and the development and adoption of more efficient production and consumption options (Shiell and Lyssenko [2014]). Computable general equilibrium (CGE) models and bottom-up models (e.g. Markal) rely mainly on autonomous energy efficiency improvement (AEEI, see Azar et Dowlatabadi, [1999]) despite clear evidence that technological change is influenced by economic activity and responsive to policies. These effects may be captured in CGEs (Computable General Equilibrium) using the concept of endogenous technical change.
000264633 6531_ $$aBuilding stock model, Switzerland, residential, hybrid modeling, top-down and bottom-up models.
000264633 700__ $$g259100$$aArzoyan, Sergey
$$0251099
000264633 700__ $$g177861$$aVielle, Marc
$$0243047
000264633 700__ $$aOberpiller, Quirin

000264633 700__ $$0251599$$aZimmermann, Michel
$$g292072
000264633 7112_ $$aAIEE Energy Symposium. Current and Future Challenges to Energy Security$$cMilan, Italy$$dDecember 10-12, 2018
000264633 8560_ $$fsergey.arzoyan@epfl.ch
000264633 8564_ $$uhttps://infoscience.epfl.ch/record/264633/files/IAEE%20Building%20Stock%20Model%20.pdf$$s1537345
000264633 8564_ $$uhttps://infoscience.epfl.ch/record/264633/files/Sergey%20Arzoyan.pdf$$s1537345
000264633 909C0 $$xU10252$$pLEURE$$mphilippe.thalmann@epfl.ch$$0252124$$zBlanc, Chantal
000264633 909CO $$qGLOBAL_SET$$pconf$$pENAC$$ooai:infoscience.epfl.ch:264633
000264633 960__ $$asergey.arzoyan@epfl.ch
000264633 961__ $$aalain.borel@epfl.ch
000264633 973__ $$aEPFL$$rREVIEWED
000264633 980__ $$aCONF
000264633 981__ $$aoverwrite