000218208 001__ 218208
000218208 005__ 20190317000429.0
000218208 037__ $$aPOST_TALK
000218208 245__ $$aUsing GIS data and satellite-derived irradiance to optimize siting of PV installations in Switzerland
000218208 269__ $$a2016
000218208 260__ $$c2016
000218208 336__ $$aPosters
000218208 520__ $$aFor a successful distribution strategy of PV installations, it does not suffice to choose the locations with highest annual total irradiance. Attention needs to be given to spatial correlation patterns of insolation to avoid large system-wide variations, which can cause extended deficits in supply or might even damage the electrical network. One alternative goal instead is to seek configurations that provide the smoothest energy production, with the most reliable and predictable supply. Our work investigates several scenarios, each pursuing a different strategy for a future renewable Switzerland without nuclear power. Based on an estimate for necessary installed capacity for solar power we first use heuristics to pre-select realistic placements for PV installations. Then we apply optimization methods to find a subset of locations that provides the best possible combined electricity production. Depending on the initial assumptions and constraints, the resulting distribution schemes for PV installations vary with respect to required surface area, annual total and lowest short-term production, and illustrate how important it is to clearly define priorities and policies for a future renewable Switzerland.
000218208 6531_ $$aRenewable Energies
000218208 6531_ $$aSolar Energy
000218208 6531_ $$aGIS
000218208 6531_ $$aIrradiance
000218208 6531_ $$aSatellite Imagery
000218208 6531_ $$aMeteoSat Second Generation
000218208 6531_ $$aSwiss Energy Strategy 2050
000218208 700__ $$0248911$$g256525$$aKahl, Annelen
000218208 700__ $$0249762$$g267925$$aDujardin, Jerome
000218208 700__ $$aBartlett, Stuart
000218208 700__ $$0245914$$g167659$$aLehning, Michael
000218208 700__ $$0248192$$g237392$$aSossan, Fabrizio
000218208 700__ $$aNguyen, Viet-Anh
000218208 7112_ $$d17-22, 2016$$cVienna, Austria$$aEGU 2016
000218208 720_2 $$aLehning, Michael$$edir.$$g167659$$0245914
000218208 8564_ $$uhttps://infoscience.epfl.ch/record/218208/files/Poster_EGU.pdf$$zPreprint$$s10194908$$yPreprint
000218208 909C0 $$xU12533$$0252326$$pCRYOS
000218208 909C0 $$xU12494$$0252423$$pDESL
000218208 909C0 $$xU12788$$0252496$$pRAO
000218208 909CO $$qGLOBAL_SET$$pposter$$pSTI$$pCDM$$pENAC$$ooai:infoscience.tind.io:218208
000218208 917Z8 $$x256525
000218208 917Z8 $$x256525
000218208 937__ $$aEPFL-POSTER-218208
000218208 973__ $$aEPFL
000218208 980__ $$aPOSTER