000230295 001__ 230295
000230295 005__ 20180913064441.0
000230295 037__ $$aCONF
000230295 245__ $$aSensitivity analysis of visual and thermal parameters for energy savings: combining illuminance and temperature set-points for possible trade-offs
000230295 269__ $$a2017
000230295 260__ $$c2017
000230295 336__ $$aConference Papers
000230295 520__ $$aThis study presents a methodology for evaluating the effects of simultaneous temperature and illuminance set-point variations on energy consumption. Different illuminance levels are achieved with an innovative dynamic shading control algorithm that allows keeping constant values of maximum workplane illuminance. Findings from applying the methodology to a specific office-like workplace located in Switzerland show that the new shading control algorithm leads to lower cooling energy consumption in comparison with a standard shading control system (i.e., based on maximum irradiance) for constant 300 and 500 lux indoor illuminance thresholds. Moreover, multiple combinations of temperature and illuminance levels result in similar cooling consumption values, implying that trade-offs between those two parameters are possible to achieve energy savings.
000230295 6531_ $$aEnergy simulation
000230295 6531_ $$aDaylighting simulation
000230295 6531_ $$aDynamic shading control
000230295 6531_ $$aMethodology
000230295 700__ $$0248747$$aChinazzo, Giorgia$$g242737
000230295 700__ $$0(EPFLAUTH)194374$$aPlourde, Mathieu$$g194374
000230295 700__ $$0(EPFLAUTH)218454$$aPereira, Joshua$$g218454
000230295 700__ $$0248033$$aWienold, Jan$$g243582
000230295 700__ $$0241777$$aAndersen, Marilyne$$g103938
000230295 7112_ $$aBuilding Simulation 2017$$cSan Francisco, California, USA$$dAugust 7-9 2017
000230295 8564_ $$s994701$$uhttps://infoscience.epfl.ch/record/230295/files/BS2017_Paper%20visual%20vs%20therm_Chinazzo.pdf$$yPublisher's version$$zPublisher's version
000230295 8564_ $$s129414$$uhttps://infoscience.epfl.ch/record/230295/files/Simulation%20workflow2_1.png$$yn/a$$zn/a
000230295 909C0 $$0252313$$pLIPID$$xU12325
000230295 909CO $$ooai:infoscience.tind.io:230295$$pconf$$pENAC
000230295 917Z8 $$x242737
000230295 937__ $$aEPFL-CONF-230295
000230295 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000230295 980__ $$aCONF