Development of building energy asset rating using stock modelling in the USA
The US Building Energy Asset Score helps building stakeholders quickly gain insight into the efficiency of building systems (envelope, electrical and mechanical systems). A robust, easy-to-understand 10-point scoring system was developed to facilitate an unbiased comparison of similar building types across the country. The Asset Score does not rely on a database or specific building baselines to establish a rating. Rather, distributions of energy use intensity (EUI) for various building use types were constructed using Latin hypercube sampling and converted to a series of stepped linear scales to score buildings. A score is calculated based on the modelled source EUI after adjusting for climate. A web-based scoring tool, which incorporates an analytical engine and a simulation engine, was developed to standardize energy modelling and reduce implementation cost. This paper discusses the methodology used to perform several hundred thousand building simulation runs and develop the scoring scales.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1407463
- Report Number(s):
- NREL/JA-5500-66085
- Journal Information:
- Journal of Building Performance Simulation, Vol. 11, Issue 1; ISSN 1940-1493
- Publisher:
- Taylor & Francis
- Country of Publication:
- United States
- Language:
- English
Calibrating building energy models using supercomputer trained machine learning agents: CALIBRATING BEMS USING SUPERCOMPUTER TRAINED ML AGENTS
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journal | March 2014 |
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