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/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, 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.

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Published
2024-10-21
DOI
https://doi.org/10.1109/synergymed62435.2024.10799373
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Benchmarking Building Energy Flexibility Using Monitored Data

Andreas Athienitis, Matin Abtahi, Hervé Frank Nouanegue, Blessing Ayegba
Building Energy and Comfort Optimization
article

Benchmarking Building Energy Flexibility Using Monitored Data

Andreas Athienitis, Matin Abtahi, Hervé Frank Nouanegue, Blessing Ayegba
article en

Abstract

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/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, 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.

Hydro-Québec (CA), Concordia University (CA)
Affordable and clean energy
Openalex Percentile: Top 74%
Building Energy and Comfort Optimization
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