Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment
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-yea...
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MDPI AG
2017-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/11/1925 |
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| author | Giovanni Pernigotto Alessandro Prada Francesca Cappelletti Andrea Gasparella |
| author_facet | Giovanni Pernigotto Alessandro Prada Francesca Cappelletti Andrea Gasparella |
| author_sort | Giovanni Pernigotto |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T11:01:26Z |
| format | Article |
| id | doaj.art-fdcfe9b089be4715bcb95ca86764ac64 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:01:26Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj.art-fdcfe9b089be4715bcb95ca86764ac642022-12-22T04:28:37ZengMDPI AGEnergies1996-10732017-11-011011192510.3390/en10111925en10111925Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy RefurbishmentGiovanni Pernigotto0Alessandro Prada1Francesca Cappelletti2Andrea Gasparella3Faculty of Science and Technology, Free University of Bozen-Bolzano, piazza Università 5, 39100 Bolzano, ItalyDepartment of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, ItalyDepartment of Design and Planning in Complex Environments, University Iuav of Venice, Dorsoduro 2206, 30123 Venezia, ItalyFaculty of Science and Technology, Free University of Bozen-Bolzano, piazza Università 5, 39100 Bolzano, ItalyThere 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.https://www.mdpi.com/1996-1073/10/11/1925EN ISO 15927-4 reference yeartypical meteorological yeargenetic algorithmbuilding energy simulationmulti-objective optimizationFinkelstein-Schafer statistics |
| spellingShingle | Giovanni Pernigotto Alessandro Prada Francesca Cappelletti Andrea Gasparella Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment Energies EN ISO 15927-4 reference year typical meteorological year genetic algorithm building energy simulation multi-objective optimization Finkelstein-Schafer statistics |
| title | Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment |
| title_full | Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment |
| title_fullStr | Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment |
| title_full_unstemmed | Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment |
| title_short | Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment |
| title_sort | impact of reference years on the outcome of multi objective optimization for building energy refurbishment |
| topic | EN ISO 15927-4 reference year typical meteorological year genetic algorithm building energy simulation multi-objective optimization Finkelstein-Schafer statistics |
| url | https://www.mdpi.com/1996-1073/10/11/1925 |
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