TY - GEN
T1 - Flexible Energy Consumption in Smart House's
AU - Madsen, Per Printz
PY - 2012/9/2
Y1 - 2012/9/2
N2 - The last couple of years more and more non-controllable energy sources, e.g. windturbines, have been connected to the power grid. This has caused an inecient energy productionand a huge variation in the energy prices. In the near future (10 to 15 years) the amount ofnon-controllable energy sources will double or more. This again will result in a number ofproblems: Inecient energy production, problems with controlling the power grid, the windturbines have to stop when the wind is optima and so on. The way to overcome these problemis to make the power consumer more exible, or in other word the consumer have to use theenergy when it is available. The main electrical energy consumer in a modern society is buildingsand private homes. The amount of electrical energy used in this sector is about 70% of the totalelectricity consumption. Because of that buildings and private homes has to play an active role incontrolling the power grid, and by that mean secure a more ecient and green energy production.If houses and private housholds has to be a part of the solution then it is very important tonde a solusion that minimize the impact on the living comfort. The way to due that is to makean automatic and inteligente house control system that maximize the consumption exibilitybased on the energy users behavior with out aection the living comfort. This behavior is ofcourse dierent from household to household, because of that it is nessasary include an adaptivebehavior prediction system. This paper describes a method to make houses exible based ompreknowlages of the user behavior. And calculate the energy exibility base on simulation for200000 typical houses in Denmark. The simulations shows that it is possible, based on 200000houses, to store enough energy to absorb the variation in the production over a time horisonton several hours.
AB - The last couple of years more and more non-controllable energy sources, e.g. windturbines, have been connected to the power grid. This has caused an inecient energy productionand a huge variation in the energy prices. In the near future (10 to 15 years) the amount ofnon-controllable energy sources will double or more. This again will result in a number ofproblems: Inecient energy production, problems with controlling the power grid, the windturbines have to stop when the wind is optima and so on. The way to overcome these problemis to make the power consumer more exible, or in other word the consumer have to use theenergy when it is available. The main electrical energy consumer in a modern society is buildingsand private homes. The amount of electrical energy used in this sector is about 70% of the totalelectricity consumption. Because of that buildings and private homes has to play an active role incontrolling the power grid, and by that mean secure a more ecient and green energy production.If houses and private housholds has to be a part of the solution then it is very important tonde a solusion that minimize the impact on the living comfort. The way to due that is to makean automatic and inteligente house control system that maximize the consumption exibilitybased on the energy users behavior with out aection the living comfort. This behavior is ofcourse dierent from household to household, because of that it is nessasary include an adaptivebehavior prediction system. This paper describes a method to make houses exible based ompreknowlages of the user behavior. And calculate the energy exibility base on simulation for200000 typical houses in Denmark. The simulations shows that it is possible, based on 200000houses, to store enough energy to absorb the variation in the production over a time horisonton several hours.
M3 - Article in proceeding
T3 - I F A C Workshop Series
BT - 8th IFAC Symposium on Power Plant and Power System Control
PB - Elsevier
T2 - 8th IFAC Symposium on Power Plant and Power System Control
Y2 - 2 September 2012 through 5 September 2012
ER -