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The potential of energy flexibility of space heating and cooling in Portugal
Affiliation:1. Department of Civil Engineering, KU Leuven, Building Physics Section, Heverlee, Belgium;2. EnergyVille, Genk, Belgium;3. Faculty of Science and Technology, Universidade Nova de Lisboa, Campus de Caparica, Portugal;4. Centre of Technology and Systems/UNINOVA, Almada, Portugal;5. Department of Civil Engineering, Aalborg University, Aalborg, Denmark;1. Enervalis, Belgium;2. ESAT, KU, Leuven, Belgium
Abstract:This study assesses the potential of energy flexibility of space heating and cooling for a typical household under different geographical conditions in Portugal. The proposed approach modifies the demand through the optimization of the thermostat settings using a genetic algorithm to reduce either operational costs or interaction with the grid. The results show that the used energy flexibility indicator expresses the available potential and that flexibility depends on several factors, namely: i) thermal inertia of the archetypical household; ii) the time of use electricity tariffs; iii) users’ comfort boundaries; and iv) the geographical location of the houses.
Keywords:Energy flexibility  Demand response  Thermal loads  Genetic algorithm
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