Framework for Retrofitting Decision-Making in Existing Buildings by Applying Analytic Hierarchy Process

Volume Title: ICASGE2025

Paper ID : 1027-ICASGE-FULL (R1)

Retrofitting buildings for enhanced energy efficiency and sustainability has become a critical goal in urban planning and environmental conservation. However, determining which buildings to retrofit versus those to exclude involves a complex decision-making process influenced by multiple factors. This study employs the Analytic Hierarchy Process (AHP) to systematically assess and prioritize twenty key factors influencing the retrofit potential of buildings. These factors, including energy performance, structural integrity, retrofit costs, and historical value, were weighted based on expert input and recent literature to guide the selection process effectively. The research aims to provide a structured framework for retrofit decision-making that balances economic feasibility, environmental impact, and structural considerations. Case studies were evaluated using AHP to illustrate the decision-making framework, revealing distinct criteria thresholds for retrofit suitability. Findings demonstrate that prioritizing factors such as energy efficiency, carbon footprint, and resilience to climate change can optimize retrofit investments and maximize sustainability outcomes. This approach offers a replicable model for urban planners, architects, and policymakers tasked with building selection for retrofit programs, aligning financial viability with environmental goals. Scientific references substantiate the factor selection and weight assignment, ensuring a robust basis for the AHP model.

Retrofit Exist Buildings, Retrofit Feasibility; Sustainable Retrofitting; Building Retrofit; Retrofit Prioritization; Building Retrofit Decision-Making using Analytic Hierarchy Process (AHP)

Construction Management (COM)