The potential of energy flexibility of space heating and cooling in Portugal. (October 2020)

• Record Type: Journal Article
• Authors: Majdalani, Naim; Aelenei, Daniel; Lopes, Rui Amaral; Silva, Carlos Augusto Santo
• Is Part Of: Utilities policy. Volume 66(2020)
• Publication Date: 2020-10
• Subjects: Energy flexibility -- Demand response -- Thermal loads -- Genetic algorithm; Public utilities -- United States -- Periodicals; Public utilities -- Government policy -- United States -- Periodicals; 363.6
• DOI: 10.1016/j.jup.2020.101086
• Languages: English
• ISSNs: 0957-1787

Abstract

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. Highlights: Genetic algorithms and simulation characterize heating and cooling flexibility. Energy Savings Flexibility Index expresses potential flexibility as a single value. Flexibility of typical Portuguese houses depends on tariff and temperature schedule.