Characterizing the energy flexibility of buildings and districts

• Published in: Applied energy 2018-09, Vol.225, p.175-182
• Main Authors: Junker, Rune Grønborg, Azar, Armin Ghasem, Lopes, Rui Amaral, Lindberg, Karen Byskov, Reynders, Glenn, Relan, Rishi, Madsen, Henrik
• Format: Article
• Language: English
• Subjects: Demand response; Energy flexibility; Flexibility function; Flexibility index; Smart building; Smartness
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2018.05.037

•Energy Flexibility is defined as a dynamic function suitable for control.•This definition leads to important and useful characteristics which are discussed.•Furthermore, it defines a Flexibility Index both on individual and aggregated level.•Based on this index a standardized method for labelling can be deduced. The large penetration rate of renewable energy sources leads to challenges in planning and controlling the energy production, transmission, and distribution in power systems. A potential solution is found in a paradigm shift from traditional supply control to demand control. To address such changes, a first step lays in a formal and robust characterization of the energy flexibility on the demand side. The most common way to characterize the energy flexibility is by considering it as a static function at every time instant. The validity of this approach is questionable because energy-based systems are never at steady-state. Therefore, in this paper, a novel methodology to characterize the energy flexibility as a dynamic function is proposed, which is titled as the Flexibility Function. The Flexibility Function brings new possibilities for enabling the grid operators or other operators to control the demand through the use of penalty signals (e.g., price, CO2, etc.). For instance, CO2-based controllers can be used to accelerate the transition to a fossil-free society. Contrary to previous static approaches to quantify Energy Flexibility, the dynamic nature of the Flexibility Function enables a Flexibility Index, which describes to which extent a building is able to respond to the grid’s need for flexibility. In order to validate the proposed methodologies, a case study is presented, demonstrating how different Flexibility Functions enable the utilization of the flexibility in different types of buildings, which are integrated with renewable energies.