Customization of Adaptive Reuse Potential (ARP) Model for Fossil Fuel Power Plants; Case Study: Besat Thermal Power Plant, Tehran

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Adaptive reuse of existing buildings, by maximum use of buildings structural, physical and material potentials, is regarded as an approach meeting sustainable development goals. The Adaptive Reuse Potential (ARP) model is seen as a very effective tool to measure the re-usability potentials of existing buildings. This model can serve as an appropriate tool in architecture and urban planning in dealing with existing buildings and structures before becoming obsolete. The Adaptive Reuse Potential model evaluates buildings reuse potential by calculating the useful life of the building through measuring different building obsolescence types, the current age of the building, and itspredicted physical life. The Adaptive Reuse Potential model is a general model uniformly applied in all building types and can be used in all countries. This paper aimed to customize this model to fossil fuel power plants, which may yield highly accurate results. The research methods as consistent with different stages were as follows: documentary and library studies were used to study and analyze the Adaptive Reuse Potential model and determine all building obsolescence types; field surveys to investigate the case study; interviewing experts; using a pairwise comparison questionnaire and the Analytic Hierarchy Process (AHP) method to weight and prioritize the types of obsolescence in fossil fuel power plants. To validate the results, the customized Adaptive Reuse Potential model was deployed to a case study and the outputs are compared with those outputs obtained from applying the original model in the same case study. According to performed analyzes and based on the experts views, it is affirmed that the results obtained from the customized Adaptive Reuse Potential model for fossil fuel power plants were more accurate than those of the primary model.

Language:
Persian
Published:
Journal of Architect, Urban Design & Urban Planning, Volume:14 Issue: 34, 2021
Pages:
65 to 77
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