THERMAL MODELS FOR INTELLIGENT HEATING OF BUILDINGS

摘要: The Danish government has set the ambitious goal that share of total electricity consumption, covered by wind energy, should be increased to 50% year 2020. This asks for radical changes in how we utilize and transmit future power grid. To fully high renewable generation, which is general intermittent non-controllable, consumption side much more flexible than today. achieve such flexibility, methods moving time, within hourly timescale, have developed. One approach currently being pursued use heat capacity thermal mass buildings temporarily store excess production increasing electrical heating. Likewise can heating postponed periods with lack production. exploit potential storage ensure comfort residents, proper prediction models indoor temperature paper presents a model from space an office building, using stochastic differential equations. dynamic build grey box approach, i.e. formulating physical knowledge about flow, while parameters are estimated collected data statistics. model, e.g. capacities resistances transfer heat, been actual building maximum likelihood technique.