期刊
UTILITIES POLICY
卷 66, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jup.2020.101086
关键词
Energy flexibility; Demand response; Thermal loads; Genetic algorithm
资金
- National Foundation of Science and Technology through MIT Programme [MIT-EXPL/SUS/0015/2017]
- Fundação para a Ciência e a Tecnologia [MIT-EXPL/SUS/0015/2017] Funding Source: FCT
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.
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