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Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climates

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  1. Stevanović, Sanja, 2013. "Optimization of passive solar design strategies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 177-196.
  2. Yingying Zhou & Christiane Margerita Herr, 2023. "A Review of Advanced Façade System Technologies to Support Net-Zero Carbon High-Rise Building Design in Subtropical China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
  3. Chen, Xi & Yang, Hongxing & Sun, Ke, 2016. "A holistic passive design approach to optimize indoor environmental quality of a typical residential building in Hong Kong," Energy, Elsevier, vol. 113(C), pages 267-281.
  4. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
  5. Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
  6. Waqas Ahmed Mahar & Griet Verbeeck & Sigrid Reiter & Shady Attia, 2020. "Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
  7. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
  8. Zakula, Tea & Badun, Nikola & Ferdelji, Nenad & Ugrina, Ivo, 2021. "Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis," Applied Energy, Elsevier, vol. 298(C).
  9. Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2015. "A comprehensive sensitivity study of major passive design parameters for the public rental housing development in Hong Kong," Energy, Elsevier, vol. 93(P2), pages 1804-1818.
  10. Su, Ziyi & Li, Xiaofeng, 2022. "Extraction of key parameters and simplification of sub-system energy models using sensitivity analysis in subway stations," Energy, Elsevier, vol. 261(PA).
  11. Ghosh, Aritra & Norton, Brian, 2018. "Advances in switchable and highly insulating autonomous (self-powered) glazing systems for adaptive low energy buildings," Renewable Energy, Elsevier, vol. 126(C), pages 1003-1031.
  12. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Sensitivity analysis on energy performance, thermal and visual discomfort of a prefabricated house in six climate zones in Australia," Applied Energy, Elsevier, vol. 298(C).
  13. Wan Mohd Nazi, Wan Iman & Royapoor, Mohammad & Wang, Yaodong & Roskilly, Anthony Paul, 2017. "Office building cooling load reduction using thermal analysis method – A case study," Applied Energy, Elsevier, vol. 185(P2), pages 1574-1584.
  14. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
  15. Ochoa, Carlos E. & Capeluto, I. Guedi, 2015. "Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings," Renewable Energy, Elsevier, vol. 78(C), pages 498-508.
  16. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
  17. Mario Collotta & Antonio Messineo & Giuseppina Nicolosi & Giovanni Pau, 2014. "A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input," Energies, MDPI, vol. 7(8), pages 1-30, July.
  18. Gilani, Syed Ihtsham ul Haq & Aris, Mohd Shiraz & Bhaskoro, Petrus Tri, 2014. "Energy saving technique for cooling dominated academic building: Techno-economic analysis of its application," Applied Energy, Elsevier, vol. 132(C), pages 192-199.
  19. Ghiaus, Christian, 2013. "Causality issue in the heat balance method for calculating the design heating and cooling load," Energy, Elsevier, vol. 50(C), pages 292-301.
  20. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
  21. Premrov, Miroslav & Žegarac Leskovar, Vesna & Mihalič, Klara, 2016. "Influence of the building shape on the energy performance of timber-glass buildings in different climatic conditions," Energy, Elsevier, vol. 108(C), pages 201-211.
  22. Chorpech Panraluk & Atch Sreshthaputra, 2019. "Developing Guidelines for Thermal Comfort and Energy Saving during Hot Season of Multipurpose Senior Centers in Thailand," Sustainability, MDPI, vol. 12(1), pages 1-27, December.
  23. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
  24. Premrov, Miroslav & Žigart, Maja & Žegarac Leskovar, Vesna, 2018. "Influence of the building shape on the energy performance of timber-glass buildings located in warm climatic regions," Energy, Elsevier, vol. 149(C), pages 496-504.
  25. Gupta, A. & Anand, Y. & Tyagi, S.K. & Anand, S., 2016. "Economic and thermodynamic study of different cooling options: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 164-194.
  26. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2015. "Robust optimal design of building cooling systems considering cooling load uncertainty and equipment reliability," Applied Energy, Elsevier, vol. 159(C), pages 265-275.
  27. Liu, Min (Max), 2014. "Probabilistic prediction of green roof energy performance under parameter uncertainty," Energy, Elsevier, vol. 77(C), pages 667-674.
  28. Cheng, Qi & Wang, Shengwei & Yan, Chengchu, 2017. "Sequential Monte Carlo simulation for robust optimal design of cooling water system with quantified uncertainty and reliability," Energy, Elsevier, vol. 118(C), pages 489-501.
  29. Hwang, Ruey-Lung & Shih, Wen-Mei & Lin, Tzu-Ping & Huang, Kuo-Tsang, 2018. "Simplification and adjustment of the energy consumption indices of office building envelopes in response to climate change," Applied Energy, Elsevier, vol. 230(C), pages 460-470.
  30. Chen, Xi & Yang, Hongxing & Sun, Ke, 2017. "Developing a meta-model for sensitivity analyses and prediction of building performance for passively designed high-rise residential buildings," Applied Energy, Elsevier, vol. 194(C), pages 422-439.
  31. Yildiz, Yusuf & Korkmaz, Koray & Göksal Özbalta, Türkan & Durmus Arsan, Zeynep, 2012. "An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings," Applied Energy, Elsevier, vol. 93(C), pages 337-347.
  32. Nutkiewicz, Alex & Mastrucci, Alessio & Rao, Narasimha D. & Jain, Rishee K., 2022. "Cool roofs can mitigate cooling energy demand for informal settlement dwellers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
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