Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Enhancing Energy Flexibility of Electrically-Heated School Buildings Using Local Setpoint Adjustment in Classrooms
This paper aims to quantify and enhance the energy flexibility of electrically-heated school buildings by adjusting the local temperature in the classrooms, while considering thermal comfort requirements. The study consists of four steps: (1) cluster analysis to identify different patterns in setpoint schedules for the classrooms, (2) development of data-driven grey-box models for the classroom clusters and calibration of these models with real data, (3) assessment of control strategies through rule-based approach with near-optimal setpoint profiles in the classroom groups, (4) quantification of the energy flexibility provided to the grid. A centroid-based approach (k-means clustering) is implemented. Then, system identification is carried out to identify appropriate reduced-order thermal network models for the thermal zones. The models are based on a low-order resistance–capacitance (RC) thermal networks along with state-space formulation. A building energy flexibility index (BEFI) is used to quantify the energy flexibility. Results show that by adjusting the setpoint temperature of classrooms, school buildings can provide energy flexibility of 35% during on-peak hours relative to a reference business-as-usual demand profile.
Enhancing Energy Flexibility of Electrically-Heated School Buildings Using Local Setpoint Adjustment in Classrooms
This paper aims to quantify and enhance the energy flexibility of electrically-heated school buildings by adjusting the local temperature in the classrooms, while considering thermal comfort requirements. The study consists of four steps: (1) cluster analysis to identify different patterns in setpoint schedules for the classrooms, (2) development of data-driven grey-box models for the classroom clusters and calibration of these models with real data, (3) assessment of control strategies through rule-based approach with near-optimal setpoint profiles in the classroom groups, (4) quantification of the energy flexibility provided to the grid. A centroid-based approach (k-means clustering) is implemented. Then, system identification is carried out to identify appropriate reduced-order thermal network models for the thermal zones. The models are based on a low-order resistance–capacitance (RC) thermal networks along with state-space formulation. A building energy flexibility index (BEFI) is used to quantify the energy flexibility. Results show that by adjusting the setpoint temperature of classrooms, school buildings can provide energy flexibility of 35% during on-peak hours relative to a reference business-as-usual demand profile.
Enhancing Energy Flexibility of Electrically-Heated School Buildings Using Local Setpoint Adjustment in Classrooms
Environ Sci Eng
Wang, Liangzhu Leon (Herausgeber:in) / Ge, Hua (Herausgeber:in) / Zhai, Zhiqiang John (Herausgeber:in) / Qi, Dahai (Herausgeber:in) / Ouf, Mohamed (Herausgeber:in) / Sun, Chanjuan (Herausgeber:in) / Wang, Dengjia (Herausgeber:in) / Morovat, Navid (Autor:in) / Athienitis, Andreas K. (Autor:in) / Candanedo, José A. (Autor:in)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Kapitel: 40 ; 373-383
05.09.2023
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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