Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment
| Autor: | Francesca Cappelletti, Andrea Gasparella, Alessandro Prada, Giovanni Pernigotto |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Control and Optimization Operations research 020209 energy Energy Engineering and Power Technology 02 engineering and technology TRNSYS Multi-objective optimization lcsh:Technology building energy simulation Building energy simulation EN ISO 15927-4 reference year Finkelstein-Schafer statistics Genetic algorithm Multi-objective optimization Typical meteorological year EN ISO 15927-4 reference year HVAC 0202 electrical engineering electronic engineering information engineering genetic algorithm Finkelstein-Schafer statistics Electrical and Electronic Engineering Engineering (miscellaneous) Building energy simulation typical meteorological year Renewable Energy Sustainability and the Environment business.industry lcsh:T Pareto principle multi-objective optimization business Building envelope Energy (miscellaneous) Typical meteorological year Efficient energy use |
| Zdroj: | Energies, Vol 10, Iss 11, p 1925 (2017) Energies; Volume 10; Issue 11; Pages: 1925 |
| ISSN: | 1996-1073 |
| Popis: | There are several methods in the literature for the definition of weather data for building energy simulation and the most popular ones, such as typical meteorological years and European test reference years, are based on Finkelstein–Schafer statistics. However, even starting from the same multi-year weather data series, the developed reference years can present different levels of representativeness, which can affect the simulation outcome. In this work, we investigated to which extent the uncertainty in the determination of typical weather conditions can affect the results of building energy refurbishment when cost-optimal approach is implemented for the selection of energy efficiency measures by means of the NSGA-II genetic algorithm coupled with TRNSYS simulations. Six different reference years were determined for two north Italy climates, Trento and Monza, respectively in the Alpine and in the continental temperate regions. Four types of energy efficiency measures, related to both building envelope and HVAC system, were applied to six existing building typologies. Results showed how the choice of reference year can alter the shape of the Pareto fronts, the number of solutions included and the selection among the alternatives of the energy efficiency measures, for the entire front and, in particular, for energy and economic optima. |
| Databáze: | OpenAIRE |
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