Assessment Model of End-of-Life Costs and Waste Quantification in Selective Demolitions: Case Studies of Nearly Zero-Energy Buildings
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- Madelyn Marrero & Antonio Ramirez-De-Arellano, 2010. "The building cost system in Andalusia: application to construction and demolition waste management," Construction Management and Economics, Taylor & Francis Journals, vol. 28(5), pages 495-507.
- Sung Kin Pun & Chunlu Liu & Craig Langston, 2006. "Case study of demolition costs of residential buildings," Construction Management and Economics, Taylor & Francis Journals, vol. 24(9), pages 967-976.
- Heiselberg, Per & Brohus, Henrik & Hesselholt, Allan & Rasmussen, Henrik & Seinre, Erkki & Thomas, Sara, 2009. "Application of sensitivity analysis in design of sustainable buildings," Renewable Energy, Elsevier, vol. 34(9), pages 2030-2036.
- Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
- Islam, Hamidul & Jollands, Margaret & Setunge, Sujeeva, 2015. "Life cycle assessment and life cycle cost implication of residential buildings—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 129-140.
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- Pilar Mercader-Moyano & Paula M. Esquivias, 2020. "Decarbonization and Circular Economy in the Sustainable Development and Renovation of Buildings and Neighbourhoods," Sustainability, MDPI, vol. 12(19), pages 1-6, September.
- Patricia González-Vallejo & Radu Muntean & Jaime Solís-Guzmán & Madelyn Marrero, 2020. "Carbon Footprint of Dwelling Construction in Romania and Spain. A Comparative Analysis with the OERCO2 Tool," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
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Keywords
selective demolition; waste quantification; nearly zero-energy building; End-of-Life Cost;All these keywords.
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