TY - GEN

T1 - Flexible Energy Consumption in Smart House's

A1 - Madsen,Per Printz

AU - Madsen,Per Printz

PB - Elsevier Science

PY - 2012/9/2

Y1 - 2012/9/2

N2 - The last couple of years more and more non-controllable energy sources, e.g. wind<br/>turbines, have been connected to the power grid. This has caused an inecient energy production<br/>and a huge variation in the energy prices. In the near future (10 to 15 years) the amount of<br/>non-controllable energy sources will double or more. This again will result in a number of<br/>problems: Inecient energy production, problems with controlling the power grid, the wind<br/>turbines have to stop when the wind is optima and so on. The way to overcome these problem<br/>is to make the power consumer more <br/>exible, or in other word the consumer have to use the<br/>energy when it is available. The main electrical energy consumer in a modern society is buildings<br/>and private homes. The amount of electrical energy used in this sector is about 70% of the total<br/>electricity consumption. Because of that buildings and private homes has to play an active role in<br/>controlling the power grid, and by that mean secure a more ecient and green energy production.<br/>If houses and private housholds has to be a part of the solution then it is very important to<br/>nde a solusion that minimize the impact on the living comfort. The way to due that is to make<br/>an automatic and inteligente house control system that maximize the consumption <br/>exibility<br/>based on the energy users behavior with out aection the living comfort. This behavior is of<br/>course dierent from household to household, because of that it is nessasary include an adaptive<br/>behavior prediction system. This paper describes a method to make houses <br/>exible based om<br/>preknowlages of the user behavior. And calculate the energy <br/>exibility base on simulation for<br/>200000 typical houses in Denmark. The simulations shows that it is possible, based on 200000<br/>houses, to store enough energy to absorb the variation in the production over a time horisont<br/>on several hours.

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

BT - 8th IFAC Symposium on Power Plant and Power System Control

T2 - 8th IFAC Symposium on Power Plant and Power System Control

T3 - I F A C Workshop Series

T3 - en_GB

ER -