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Heat demand is forecasted based on a weather forecast.
Heat demand outside industry critically influences the economic success of regional technology networks.
Heat demand from oil products (fuel oil) is residually determined, i.e. it results from the difference of the entire energetic final demand of the households, electricity demand as well as heat demand from the remaining sources of energy.
Annual heat demand is in good agreement with measurements.
In Copenhagen, a study found that heat demand from buildings could be reduced by up to 76%.
The optimisation is performed on a synthetic heat demand model which requires only the annual heat demand, temperature and occupancy profiles.
Aarhus constitutes 5% of the Denmark's total heat demand and 4% of electrical load demand.
Non-continuous heat demand however often leads to a reduced number of yearly running hours.
Conventional central heating, to meet the heat demand at peak moments, is also available.
Yet, building heat demand reductions will have implications on sustainable DH production and operation.
In winter scenarios the all electric range decreases drastically due to the cabin heat demand.
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