Building energy model calibration using automated optimization-based algorithm
| Autor: | Ehsan Mostavi, Djamel Boussaa, Madhavi Indraganti, Somayeh Asadi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Computer science Harmony search optimization 020209 energy Mechanical Engineering Reliability (computer networking) Building energy performance 0211 other engineering and technologies Process (computing) 02 engineering and technology Building and Construction Occupants' behavior Set (abstract data type) Optimization algorithm Search engine 021105 building & construction 0202 electrical engineering electronic engineering information engineering Calibration Harmony search Energy model calibration Electrical and Electronic Engineering Building energy simulation Energy (signal processing) Civil and Structural Engineering |
| Zdroj: | Energy and Buildings. 198:106-114 |
| ISSN: | 0378-7788 |
| DOI: | 10.1016/j.enbuild.2019.06.001 |
| Popis: | Multiple numbers of Building Energy Simulation (BES) programs have been improved and implemented during the last decades. BES models play a crucial role in understanding building energy demands and accelerating the malfunction diagnosis. However, due to the very high number of interacting parameters, most of the developed energy simulation programs do not accurately predict building energy performance under a known condition. Even the energy models which are developed with the very precise assignment of parameters, there is always significant discrepancies between the simulation results and the real-time data measurements. Current study develops an optimization-based framework to calibrate the whole building energy model. The optimization algorithm attempts to set the identified parameters to minimize the error between the simulation results and the real-time measurements. Due to the high number of parameters, the developed optimization algorithm utilizes a Harmony Search algorithm as its search engine coupled with the energy simulation model to accelerate the calibration process. Moreover, to illustrate the efficiency of using the developed framework, a case study of the office building is modeled and calibrated and the statistical analysis was conducted to assess the accuracy of the results. The results of the calibration process show the reliability of the framework. - 2019 This work was supported by the Qatar National Research Foundation (QNRF)/National Priorities Research Program (NPRP 7 - 143 - 2 - 070). Authors would like to acknowledge their supports through this research. Scopus |
| Databáze: | OpenAIRE |
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