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Development of Sustainable Building Construction Management Model Considering Environmental and Resource Management

Shakiba, Amir Mohammad | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 58560 (53)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Moghim, Sanaz
  7. Abstract:
  8. This research employed a multi-objective optimization framework using the NSGA-II algorithm to investigate the relationship between project costs and sustainability outcomes in building projects based on the LEED certification system. The model generated 300 Pareto-optimal solutions, demonstrating the nonlinear trade-off between minimizing costs and maximizing LEED scores, with clear evidence of diminishing returns at higher certification levels. The results indicate that at the Certified level, projects achieved an average score of 48.7 with an average cost of 810,000 USD, making this level suitable for low-budget or small-scale projects. At the Silver level, the average score rose to 54.6 with costs averaging 937,000 USD. This level represents the most balanced option, providing meaningful environmental improvements at a reasonable additional expense. The Gold level achieved an average score of 69.6 at a cost of 1.47 million USD, demonstrating strong long-term benefits in energy efficiency, indoor environmental quality, and material sustainability despite higher upfront costs. Finally, the Platinum level reached an average score of 90.6 with an average cost of 3.29 million USD, reflecting the most comprehensive sustainability measures but feasible only for flagship, governmental, or policy-driven projects due to its disproportionate financial demands. The findings highlight those low-cost actions (e.g., water-efficient equipment, waste management, and public transport accessibility) provide significant score improvements at limited expense, while higher scores require increasingly larger investments. Recommendations include prioritizing Silver and Gold certifications for most projects, adopting stepwise sustainability strategies, and applying life-cycle cost analysis for decision-making. For academic development, incorporating climate-specific parameters, detailed energy simulations, and policy incentives is suggested for future research. This study contributes a robust decision-support tool for project managers, policymakers, and developers to strategically balance economic constraints with sustainability goals, enabling more rational and impactful investments in green building projects.
  9. Keywords:
  10. Sustainable Construction ; LEED Code ; Multiobjective Optimization ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Cost–Sustainability Trade-off ; Construction Management

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