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An Analysis of the Development of Modular Building Design Elements to Improve Thermal Performance of a Representative High Rise Residential Estate in the Coastline City of Famagusta, Cyprus

Author

Listed:
  • Hasim Altan

    (Department of Architecture, Faculty of Design, Arkin University of Creative Arts and Design (ARUCAD), Kyrenia 99300, Cyprus)

  • Bertug Ozarisoy

    (Graduate School, School of Architecture, Computing & Engineering, University of East London (UEL), London E16 2RD, UK)

Abstract

Passive design strategies can reduce heating and cooling demands with integration of more efficient building systems as well as the potential to integrate modular off-site construction technology and its technical systems to offset overall energy consumption. This study evaluates the energy performance of the nationally representative post-war social housing estate in the southeastern Mediterranean island of Cyprus where the weather is subtropical ( Csa ) and partly semi-arid ( Bsh ). This study employed a mixed methods research design approach which was based on a thorough field study that consisted of a questionnaire survey conducted with residents of the social housing estate in the hottest summer month of August, to explore the occupants’ thermal sensation votes (TSVs), their habitual adaptive behaviour, and home energy performance concurrently. On-site environmental monitoring was performed, and in-situ measurements of each occupied space were recorded to identify ‘neutral’ adaptive thermal comfort. The selected representative high-rise residential development was modelled using Integrated Environmental Solutions’ Virtual Environment (IES-VE) software, where extensive dynamic thermal simulations have been produced to assess existing energy performance and energy effectiveness of retrofitting strategies. The results demonstrated that a moderate–strong relationship was found between orientation and reasons for thermal discomfort ( χ 2 = 49,327, p < 0.001, Cramer’s V = 0.405). Individual levels of thermal comfort were not limited to household socio-demographic characteristics, however; environmental factors were also determinants in the development of adaptive thermal-comfort theory. Furthermore, the occupants’ TSVs indicated that in a southeastern Mediterranean climate, 28.5 °C is considered a neutral temperature, and the upper limit of the indoor-air thermal-comfort range is 31.5 °C.

Suggested Citation

  • Hasim Altan & Bertug Ozarisoy, 2022. "An Analysis of the Development of Modular Building Design Elements to Improve Thermal Performance of a Representative High Rise Residential Estate in the Coastline City of Famagusta, Cyprus," Sustainability, MDPI, vol. 14(7), pages 1-50, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4065-:d:782571
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    as
    1. Abokersh, Mohamed Hany & Spiekman, Marleen & Vijlbrief, Olav & van Goch, T.A.J. & Vallès, Manel & Boer, Dieter, 2021. "A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings," Applied Energy, Elsevier, vol. 281(C).
    2. Ciftcioglu, Gulay Cetinkaya, 2017. "Social preference-based valuation of the links between home gardens, ecosystem services, and human well-being in Lefke Region of North Cyprus," Ecosystem Services, Elsevier, vol. 25(C), pages 227-236.
    3. Pulhan, Afet & Yorucu, Vedat & Sinan Evcan, Nusret, 2020. "Global energy market dynamics and natural gas development in the Eastern Mediterranean region," Utilities Policy, Elsevier, vol. 64(C).
    4. Luca Sbrogiò & Carlotta Bevilacqua & Gabriele De Sordi & Ivano Michelotto & Marco Sbrogiò & Antonio Toniolo & Christian Tosato, 2021. "Strategies for Structural and Energy Improvement in Mid-Rise Unreinforced Masonry Apartment Buildings. A Case Study in Mestre (Northeast Italy)," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    5. Michele Roccotelli & Alessandro Rinaldi & Maria Pia Fanti & Francesco Iannone, 2020. "Building Energy Management for Passive Cooling Based on Stochastic Occupants Behavior Evaluation," Energies, MDPI, vol. 14(1), pages 1-24, December.
    6. Cristino, T.M. & Lotufo, F.A. & Delinchant, B. & Wurtz, F. & Faria Neto, A., 2021. "A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Ozarisoy, B. & Altan, H., 2022. "Significance of occupancy patterns and habitual household adaptive behaviour on home-energy performance of post-war social-housing estate in the South-eastern Mediterranean climate: Energy policy desi," Energy, Elsevier, vol. 244(PB).
    8. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    9. Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
    10. Fokaides, Paris A. & Christoforou, Elias A. & Kalogirou, Soteris A., 2014. "Legislation driven scenarios based on recent construction advancements towards the achievement of nearly zero energy dwellings in the southern European country of Cyprus," Energy, Elsevier, vol. 66(C), pages 588-597.
    11. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    12. Jenkins, D.P. & Ingram, V. & Simpson, S.A. & Patidar, S., 2013. "Methods for assessing domestic overheating for future building regulation compliance," Energy Policy, Elsevier, vol. 56(C), pages 684-692.
    13. Rajat Gupta & Matt Gregg, 2020. "Assessing the Magnitude and Likely Causes of Summertime Overheating in Modern Flats in UK," Energies, MDPI, vol. 13(19), pages 1-23, October.
    14. Bertug Ozarisoy & Hasim Altan, 2017. "Adoption of Energy Design Strategies for Retrofitting Mass Housing Estates in Northern Cyprus," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    15. Ballarini, Ilaria & Corrado, Vincenzo & Madonna, Francesco & Paduos, Simona & Ravasio, Franco, 2017. "Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology," Energy Policy, Elsevier, vol. 105(C), pages 148-160.
    16. Vedat Yorucu & Rusen Keles, 2007. "The construction boom and environmental protection in Northern Cyprus as a consequence of the Annan Plan," Construction Management and Economics, Taylor & Francis Journals, vol. 25(1), pages 77-86.
    17. Belaïd, Fateh & Ranjbar, Zeinab & Massié, Camille, 2021. "Exploring the cost-effectiveness of energy efficiency implementation measures in the residential sector," Energy Policy, Elsevier, vol. 150(C).
    18. Bertoldi, Paolo & Mosconi, Rocco, 2020. "Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States)," Energy Policy, Elsevier, vol. 139(C).
    19. Arbolino, Roberta & Boffardi, Raffaele & Ioppolo, Giuseppe, 2019. "The effectiveness of European energy policy on the Italian system: Regional evidences from a hierarchical cluster analysis approach," Energy Policy, Elsevier, vol. 132(C), pages 47-61.
    20. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
    21. Kyriakidis, Andreas & Michael, Aimilios & Illampas, Rogiros & Charmpis, Dimos C. & Ioannou, Ioannis, 2018. "Thermal performance and embodied energy of standard and retrofitted wall systems encountered in Southern Europe," Energy, Elsevier, vol. 161(C), pages 1016-1027.
    22. Michael, A. & Gregoriou, S. & Kalogirou, S.A., 2018. "Environmental assessment of an integrated adaptive system for the improvement of indoor visual comfort of existing buildings," Renewable Energy, Elsevier, vol. 115(C), pages 620-633.
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