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Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment

Author

Listed:
  • Giovanni Pernigotto

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, piazza Università 5, 39100 Bolzano, Italy)

  • Alessandro Prada

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, Italy)

  • Francesca Cappelletti

    (Department of Design and Planning in Complex Environments, University Iuav of Venice, Dorsoduro 2206, 30123 Venezia, Italy)

  • Andrea Gasparella

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, piazza Università 5, 39100 Bolzano, Italy)

Abstract

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.

Suggested Citation

  • Giovanni Pernigotto & Alessandro Prada & Francesca Cappelletti & Andrea Gasparella, 2017. "Impact of Reference Years on the Outcome of Multi-Objective Optimization for Building Energy Refurbishment," Energies, MDPI, vol. 10(11), pages 1-23, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1925-:d:119715
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    References listed on IDEAS

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    1. Sorrentino, Giancarlo & Scaccianoce, Gianluca & Morale, Massimo & Franzitta, Vincenzo, 2012. "The importance of reliable climatic data in the energy evaluation," Energy, Elsevier, vol. 48(1), pages 74-79.
    2. Chan, A.L.S., 2016. "Generation of typical meteorological years using genetic algorithm for different energy systems," Renewable Energy, Elsevier, vol. 90(C), pages 1-13.
    3. Haixiang Zang & Miaomiao Wang & Jing Huang & Zhinong Wei & Guoqiang Sun, 2016. "A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China," Energies, MDPI, vol. 9(12), pages 1-19, December.
    4. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
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    Cited by:

    1. Vincenzo Costanzo & Gianpiero Evola & Marco Infantone & Luigi Marletta, 2020. "Updated Typical Weather Years for the Energy Simulation of Buildings in Mediterranean Climate. A Case Study for Sicily," Energies, MDPI, vol. 13(16), pages 1-24, August.
    2. Moradi, Amir & Kavgic, Miroslava & Costanzo, Vincenzo & Evola, Gianpiero, 2023. "Impact of typical and actual weather years on the energy simulation of buildings with different construction features and under different climates," Energy, Elsevier, vol. 270(C).
    3. Fahad Haneef & Giovanni Pernigotto & Andrea Gasparella & Jérôme Henri Kämpf, 2021. "Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    4. Evola, Gianpiero & Costanzo, Vincenzo & Infantone, Marco & Marletta, Luigi, 2021. "Typical-year and multi-year building energy simulation approaches: A critical comparison," Energy, Elsevier, vol. 219(C).
    5. Michele Libralato & Giovanni Murano & Alessandra De Angelis & Onorio Saro & Vincenzo Corrado, 2020. "Influence of the Meteorological Record Length on the Generation of Representative Weather Files," Energies, MDPI, vol. 13(8), pages 1-19, April.
    6. Piotr Michalak, 2022. "Thermal Network Model for an Assessment of Summer Indoor Comfort in a Naturally Ventilated Residential Building," Energies, MDPI, vol. 15(10), pages 1-19, May.

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