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Multi-Objective Optimization for Cooling and Interior Natural Lighting in Buildings for Sustainable Renovation

Author

Listed:
  • Silvia Ruggiero

    (Department of Engineering (DING), University of Sannio, 82100 Benevento, Italy)

  • Marco Iannantuono

    (Department of Architecture (DA), University of Bologna, 40100 Bologna, Italy)

  • Anastasia Fotopoulou

    (Department of Architecture (DA), University of Bologna, 40100 Bologna, Italy)

  • Dimitra Papadaki

    (Group of Building Environmental Studies, Physics Department, University of Athens, 15784 Athens, Greece)

  • Margarita Niki Assimakopoulos

    (Group of Building Environmental Studies, Physics Department, University of Athens, 15784 Athens, Greece)

  • Rosa Francesca De Masi

    (Department of Engineering (DING), University of Sannio, 82100 Benevento, Italy)

  • Giuseppe Peter Vanoli

    (Department of Medicine and Health Sciences-Vincenzo Tiberio, University of Molise, 86100 Campobasso, Italy)

  • Annarita Ferrante

    (Department of Architecture (DA), University of Bologna, 40100 Bologna, Italy)

Abstract

In order to achieve the ‘nearly zero-energy’ target and a comfortable indoor environment, an important aspect is related to the correct design of the transparent elements of the building envelope. For improving indoor daylight penetration, architectural solutions such as light shelves are nowadays commercially available. These are defined as horizontal or inclined surfaces, fixed or mobile, placed on the inner and/or the outer side of windows, with surface features such to reflect the sunlight to the interior. Given the fact that these elements can influence different domains (i.e., energy need, daylighting, thermal comfort, etc.), the aim of this paper is to apply a multi-objective optimization method within the design of this kind of technology. The case study is a student house in the University of Athens Campus, subject to a deep energy renovation towards nZEB, under the frame of H2020 European project Pro-GET-onE (G.A No 723747). Starting from the numerical model of the building, developed in EnergyPlus, the multi-objective optimization based on a genetic algorithm is implemented. The variables used are various light shelves configurations by differing materials and geometry, as well as different window types and interior context scenarios. Finally, illuminance studies of the pre- and post-retrofit building are also provided through Revit illuminance rendering.

Suggested Citation

  • Silvia Ruggiero & Marco Iannantuono & Anastasia Fotopoulou & Dimitra Papadaki & Margarita Niki Assimakopoulos & Rosa Francesca De Masi & Giuseppe Peter Vanoli & Annarita Ferrante, 2022. "Multi-Objective Optimization for Cooling and Interior Natural Lighting in Buildings for Sustainable Renovation," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8001-:d:852654
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    References listed on IDEAS

    as
    1. Ebrahimi-Moghadam, Amir & Ildarabadi, Paria & Aliakbari, Karim & Fadaee, Faramarz, 2020. "Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings," Renewable Energy, Elsevier, vol. 159(C), pages 736-755.
    2. Chi, Fang'ai & Xu, Ying, 2022. "Building performance optimization for university dormitory through integration of digital gene map into multi-objective genetic algorithm," Applied Energy, Elsevier, vol. 307(C).
    3. Casini, Marco, 2018. "Active dynamic windows for buildings: A review," Renewable Energy, Elsevier, vol. 119(C), pages 923-934.
    4. Pereira, Júlia & Rivero, Cristina Camacho & Gomes, M. Glória & Rodrigues, A. Moret & Marrero, Madelyn, 2021. "Energy, environmental and economic analysis of windows’ retrofit with solar control films: A case study in Mediterranean climate," Energy, Elsevier, vol. 233(C).
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    1. Yu Cao & Liyan Huang & Nur Mardhiyah Aziz & Syahrul Nizam Kamaruzzaman, 2022. "Building Information Modelling (BIM) Capabilities in the Design and Planning of Rural Settlements in China: A Systematic Review," Land, MDPI, vol. 11(10), pages 1-34, October.

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