An Innovative Multicriteria Decision-Making Tool for Building Performance Optimization

نویسندگان

چکیده

Buildings are accountable for nearly 40% of global greenhouse gas emissions. Their overall efficiency is thus a major pillar to optimize energy consumption and mitigate engendered warming. The current work takes part in this dynamic. Indeed, we developed standalone decision-aid tool based on sensitivity analysis, multiobjective optimization, artificial neural networks design new generation energy-efficient buildings. aims allow benefiting from Sobol’ analysis samplings instantaneously generate indexes perform multicriteria optimizations. This efficient process allows both understanding buildings’ complex behavior (by ranking the impact inputs parameters outputs highlighting their interactions) optimizing performance. main advantages method time gaining provision relevant analyze design. was successfully used solve constrained 13-input with 5-criteria TRNSYS simulation program, considering warming

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ژورنال

عنوان ژورنال: Engineering, Technology & Applied Science Research

سال: 2021

ISSN: ['1792-8036', '2241-4487']

DOI: https://doi.org/10.48084/etasr.3953