Genetic algorithm for building envelope calibration

Germán Ramos Ruiz, Carlos Fernández Bandera, Tomás Gómez-Acebo Temes and Ana Sánchez-Ostiz Gutierrez

Applied Energy, 2016, vol. 168, issue C, 705 pages

Abstract: Buildings today represent 40% of world primary energy consumption and 24% of greenhouse gas emissions. In our society there is growing interest in knowing precisely when and how energy consumption occurs. This means that consumption measurement and verification plans are well-advanced. International agencies such as Efficiency Valuation Organization (EVO) and International Performance Measurement and Verification Protocol (IPMVP) have developed methodologies to quantify savings. This paper presents a methodology to accurately perform automated envelope calibration under option D (calibrated simulation) of IPMVP – vol. 1. This is frequently ignored because of its complexity, despite being more flexible and accurate in assessing the energy performance of a building. A detailed baseline energy model is used, and by means of a metaheuristic technique achieves a highly reliable and accurate Building Energy Simulation (BES) model suitable for detailed analysis of saving strategies. In order to find this BES model a Genetic Algorithm (NSGA-II) is used, together with a highly efficient engine to stimulate the objective, thus permitting rapid achievement of the goal. The result is a BES model that broadly captures the heat dynamic behaviour of the building. The model amply fulfils the parameters demanded by ASHRAE and EVO under option D.

Keywords: Calibration; Energy simulation; Parametric analysis; Sensitivity analysis; Genetic algorithm (NSGA-II); Energy savings (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.apenergy.2016.01.075

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