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This study presents a structured approach for evaluating building efficiency improvement scenarios by integrating multi-criteria decision-making (MCDM) methods with expert assessments. The research develops a systematic methodology to assess and rank different design alternatives based on key sustainability criteria, including improvement of lifespan, payback period, energy demand, energy savings, and global warming potential (GWP). A multi-stage evaluation process is introduced, incorporating expert judgment and pairwise comparisons through the Analytical Hierarchy Process (AHP) to determine the relative significance of each criterion. The study further applies Simple Additive Weighting (SAW) and Multiplicative Exponential Weighting (MEW) methods to rank building improvement scenarios, ensuring a balanced trade-off between economic, energy, and environmental factors. The methodology is tested on a case study of residential building, where various insulation and energy efficiency measures are analyzed. The findings indicate that integrating expert-driven assessment with MCDM approaches enhances the objectivity and transparency of decision-making in sustainable building energy efficiency improvements. The proposed framework provides a reliable tool for selecting optimal improvement strategies, supporting data-driven and environmentally responsible decision-making in the construction sector.

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A Multi-criteria Decision-Making Approach for Sustainable Building Improvement: Integrating Expert Evaluation and Optimization Methods

  • 会议论文

  • 发表日期：

    2026年

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  • Paulius Spudys,
  • Egle Klumbyte,
  • Lina Morkunaite,
  • Andrius Jurelionis,
  • Paris Fokaides

摘要

This study presents a structured approach for evaluating building efficiency improvement scenarios by integrating multi-criteria decision-making (MCDM) methods with expert assessments. The research develops a systematic methodology to assess and rank different design alternatives based on key sustainability criteria, including improvement of lifespan, payback period, energy demand, energy savings, and global warming potential (GWP). A multi-stage evaluation process is introduced, incorporating expert judgment and pairwise comparisons through the Analytical Hierarchy Process (AHP) to determine the relative significance of each criterion. The study further applies Simple Additive Weighting (SAW) and Multiplicative Exponential Weighting (MEW) methods to rank building improvement scenarios, ensuring a balanced trade-off between economic, energy, and environmental factors. The methodology is tested on a case study of residential building, where various insulation and energy efficiency measures are analyzed. The findings indicate that integrating expert-driven assessment with MCDM approaches enhances the objectivity and transparency of decision-making in sustainable building energy efficiency improvements. The proposed framework provides a reliable tool for selecting optimal improvement strategies, supporting data-driven and environmentally responsible decision-making in the construction sector.