Experience feedback for risk assessment in aeronautic buildings

Autor: Badié Diourte, Tamba Camara, Alhouseini Issa Maiga, Bernard Kamsu-Foguem
Přispěvatelé: Institut National Polytechnique de Toulouse - INPT (FRANCE), Agence des Energies Renouvelables du Mali - AER-Mali (MALI), Université des Sciences, des Techniques et des Technologies de Bamako - USTTB ( MALI), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Rok vydání: 2016
Předmět:
Zdroj: Journal of Cleaner Production. 137:1237-1245
ISSN: 0959-6526
Popis: The search for energy efficiency is an increasingly important requirement in the construction or renovation of residential, tertiary and commercial buildings. This requirement imposes the implementation of effective strategies for evaluating energetic performances. However, most of the literature works focused on the use of analytical approaches which sometimes proves insufficient, in the absence of taking into account the practical realities. This paper presents a methodology of risk analysis and assessment for efficient performance of buildings using the knowledge capitalization and exploitation from experience feedback processes. The target buildings (residential, tertiary and commercial) are chosen in the airport area of aeronautic context in which the lessons learnt are generated from the environmental assessment with the assistance of the main domain actors (experts, technicians and users). The effort is focused on identification of non-qualities and discomforts whose resolution could contribute to improving the energy and environmental performance of buildings. This approach integrates the collection of experienced knowledge from passive design strategies of sustainable buildings with innovative practices. Capitalization of knowledge from experience feedback processes will foster the development of proposals for preventive and corrective solutions and dissemination of good practices for solving problems regarding pathologies, damage, and other dysfunctions observed in the building field.
Databáze: OpenAIRE