Flexible Energy Consumption in Smart House's

The last couple of years more and more non-controllable energy sources, e.g. wind turbines, have been connected to the power grid. This has caused an inefficient energy production and a huge variation in the energy prices. In the near future (10 to 15 years) the amount of non-controllable energy sources will double or more. This again will result in a number of problems: Inefficient energy production, problems with controlling the power grid, the wind turbines have to stop when the wind is optima and so on. The way to overcome these problem is to make the power consumer more flexible, or in other word the consumer have to use the energy when it is available. The main electrical energy consumer in a modern society is buildings and private homes. The amount of electrical energy used in this sector is about 70\% of the total electricity consumption. Because of that buildings and private homes has to play an active role in controlling the power grid, and by that mean secure a more efficient and green energy production. If houses and private housholds has to be a part of the solution then it is very important to finde a solusion that minimize the impact on the living comfort. The way to due that is to make an automatic and inteligente house control system that maximize the consumption flexibility based on the energy users behavior with out affection the living comfort. This behavior is of course different from household to household, because of that it is nessasary include an adaptive behavior prediction system. This paper describes a method to make houses flexible based om preknowlages of the user behavior. And calculate the energy flexibility base on simulation for 200000 typical houses in Denmark. The simulations shows that it is possible, based on 200000 houses, to store enough energy to absorb the variation in the production over a time horisont on several hours.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