Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Benchmarking Building Energy Flexibility Using Monitored Data
This paper presents a framework for assessing building energy flexibility using measured data. A Canadian residential building with onsite solar power system is used to demonstrate the methodology. Five energy flexibility metrics are evaluated: self-generation, self-consumption, loss of load probability (LOLP), energy autonomy, and building energy flexibility index (BEFI). The results show that the building generates 43.2% of its energy demand and consumes 43.7% of its PV supply. The LOLP and energy autonomy metrics reveal that the local power supply meets the building’s total demand 40% of the time. Additionally, the building shows a BEFI of 16.4%, and a power density of 12.4 W/m2, indicating its average power flexibility during demand response events. The framework assesses the performance of grid-interactive buildings and provides useful insights for decision-making on effective flexibility strategies. It can be adapted to different building archetypes and is a fundamental preparatory process in developing control-oriented datasets.
Benchmarking Building Energy Flexibility Using Monitored Data
This paper presents a framework for assessing building energy flexibility using measured data. A Canadian residential building with onsite solar power system is used to demonstrate the methodology. Five energy flexibility metrics are evaluated: self-generation, self-consumption, loss of load probability (LOLP), energy autonomy, and building energy flexibility index (BEFI). The results show that the building generates 43.2% of its energy demand and consumes 43.7% of its PV supply. The LOLP and energy autonomy metrics reveal that the local power supply meets the building’s total demand 40% of the time. Additionally, the building shows a BEFI of 16.4%, and a power density of 12.4 W/m2, indicating its average power flexibility during demand response events. The framework assesses the performance of grid-interactive buildings and provides useful insights for decision-making on effective flexibility strategies. It can be adapted to different building archetypes and is a fundamental preparatory process in developing control-oriented datasets.
Benchmarking Building Energy Flexibility Using Monitored Data
Ayegba, Blessing (Autor:in) / Abtahi, Matin (Autor:in) / Athienitis, Andreas K. (Autor:in) / Frank Nouanegue, Herve (Autor:in)
21.10.2024
826806 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
BEEM: Data-driven building energy benchmarking for Singapore
| Elsevier | 2022
Benchmarking Industrial Building Energy Performance
| British Library Conference Proceedings | 2005
Building energy flexibility assesment with static data
| IEEE | 2023
Lessons Learned from Monitored Office Building Data
| British Library Online Contents | 1993