Title :
Hourly load modelling of non-residential building stock
Author :
Lindberg, Karen Byskov ; Doorman, Gerard
Author_Institution :
Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Abstract :
Smart grid and demand side management (DSM) are expected to play a key role in facing the challenges of a nearly 100 % renewable energy system with high share of intermittent power production. Compensating for the variability in power production creates a need for flexible demand. However with the introduction of net zero energy buildings (ZEB), studies have shown that buildings´ net demand may be more volatile than the existing building stock as they act as prosumers, both consuming and producing energy. In the ongoing work we investigate the impact of a large roll out of ZEBs in Norway, compared to today´s building stock. How will the buildings´ net demand profile evolve, and how will this affect the energy system? In short one may say that the net demand profile of ZEBs consists of two components, hourly profiles of heat and electricity demand separately, and hourly profiles of onsite energy production (such as PVs). In this paper we examine the load profiles, and leave the production profiles, and subsequently the net load profiles, for later studies. A regression model for heat demand profiles of non-residential buildings is developed and tested on Norwegian school buildings. The findings confirm that heat consumption in passive houses is drastically lower (almost halved) compared to normal school buildings both in terms of yearly energy demand and in terms of peak loads.
Keywords :
building management systems; demand side management; energy management systems; load flow; power consumption; regression analysis; renewable energy sources; smart power grids; DSM; ZEB; building net demand profile; demand side management; electricity demand profile; flexible demand; heat consumption; heat demand profile; hourly load modelling; intermittent power production; load profile; nonresidential building stock; onsite energy production; passive house; power production variability compensation; regression model; renewable energy system; smart grid; zero energy building; Buildings; Educational institutions; Heating; Load modeling; Mathematical model; Temperature dependence; Temperature measurement; demand side management; flexible demand; load management; load profiles; power system economics; smart grid; zero energy buildings (ZEB) energy consumption;
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
DOI :
10.1109/PTC.2013.6652495