Page 27 - ZEB AnnualReport 2015

ZERO VILLAGE BERGEN

MISMATCH BETWEEN SOLAR POWER GENERATION AND THE ELECTRIC LOAD IN A ZERO EMISSIONS
NEIGHBORHOOD
MISMATCH MELLOM SOLENERGIPRODUKSJON OG ELEKTRISK BELASTNING I ET NULLUTSLIPPS
BOLIGOMRÅDE (ZEN - ZERO EMISSIONS NEIGHBORHOOD)

Igor Sartori (SINTEF) and Stanislas Merclet (Multiconsult)

A new housing estate is planned close to the buildings in order to assess the degree simulations in the software IDA ICE, assuming
Bergen. Its ambitious goal is, considering the of mismatch. This can be done at different the buildings to be built according to the
total energy demand of the buildings, to reach scales: yearly, seasonally, monthly (most Norwegian passive house standard. Both
a Zero Emission Building (ZEB) target for the common), daily, and hourly. In order to generation and load proiles were, of course,
entire neighborhood. The project, “Zero Village achieve as precise a study as possible, based on the same hourly weather data
Bergen”, consists of more than 700 dwellings we chose to compare hourly values. We ile in order to guarantee consistency when
divided between single-family dwellings and simulated PV generation proiles using state- addressing the mismatch between the two.
apartment buildings. It also includes non- of-the-art software PV syst and considered the
residential areas such as ofices, shops, and a variety of roof orientations and shading effects The preliminary results show that, at an
kindergarten. from a 3D model of the buildings. aggregated level, the PV system covers
approximately 90% of the electric demand.
Solar systems (in this case solar cells - PV) Electric load proiles for residential buildings Zero Village Bergen has a total electricity need
have multiple beneits when integrated in were obtained from a so-called “TUD” (for of 3,3 GWh/year, while the PV plant generates
buildings, but solar energy is, by deinition, Time of Use Data) methodology, based on in total 2,9 GWh/year. At more detailed levels,
a weather dependent energy source. We the normalization of data from surveys among due to mismatch between periods of use and
therefore had to simulate PV production real households. We calculated thermal periods of production, one must differentiate
and compare it with the energy needs in loads using dynamic energy performance between self-consumption (the portion of PV

ZEB annual report 2015 27