Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India
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- Bhattacharyya, Subhes C., 2015. "Influence of India’s transformation on residential energy demand," Applied Energy, Elsevier, vol. 143(C), pages 228-237.
- 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.
- Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
- Yao, Jian, 2012. "Energy optimization of building design for different housing units in apartment buildings," Applied Energy, Elsevier, vol. 94(C), pages 330-337.
- Kotireddy, Rajesh & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "A methodology for performance robustness assessment of low-energy buildings using scenario analysis," Applied Energy, Elsevier, vol. 212(C), pages 428-442.
- Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016.
"Energy saving potential of natural ventilation in China: The impact of ambient air pollution,"
Elsevier, vol. 179(C), pages 660-668.
- Zheming Tong & Yujiao Chen & Malkawi, Ali & Zhu Liu & Richard B. Freeman, "undated". "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Working Paper 428396, Harvard University OpenScholar.
- Indraganti, Madhavi, 2010. "Thermal comfort in naturally ventilated apartments in summer: Findings from a field study in Hyderabad, India," Applied Energy, Elsevier, vol. 87(3), pages 866-883, March.
- Aklin, Michaël & Bayer, Patrick & Harish, S.P. & Urpelainen, Johannes, 2015. "Quantifying slum electrification in India and explaining local variation," Energy, Elsevier, vol. 80(C), pages 203-212.
- Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
- Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
- Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
- Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
- Chikaraishi, Makoto & Jana, Arnab & Bardhan, Ronita & Varghese, Varun & Fujiwara, Akimasa, 2017. "A framework to analyze capability and travel in formal and informal urban settings: A case from Mumbai," Journal of Transport Geography, Elsevier, vol. 65(C), pages 101-110.
- Mustafaraj, Giorgio & Marini, Dashamir & Costa, Andrea & Keane, Marcus, 2014. "Model calibration for building energy efficiency simulation," Applied Energy, Elsevier, vol. 130(C), pages 72-85.
- 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.
- Urban, F. & Benders, R.M.J. & Moll, H.C., 2007. "Modelling energy systems for developing countries," Energy Policy, Elsevier, vol. 35(6), pages 3473-3482, June.
- Indraganti, Madhavi, 2011. "Thermal comfort in apartments in India: Adaptive use of environmental controls and hindrances," Renewable Energy, Elsevier, vol. 36(4), pages 1182-1189.
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- Debnath, Ramit & Bardhan, Ronita & Sunikka-Blank, Minna, 2019. "How does slum rehabilitation influence appliance ownership? A structural model of non-income drivers," Energy Policy, Elsevier, vol. 132(C), pages 418-428.
- Chang, Soowon & Saha, Nirvik & Castro-Lacouture, Daniel & Yang, Perry Pei-Ju, 2019. "Multivariate relationships between campus design parameters and energy performance using reinforcement learning and parametric modeling," Applied Energy, Elsevier, vol. 249(C), pages 253-264.
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KeywordsBuildings; Energy modeling; Informal settlement; Simulation; Slum; Thermal comfort;
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