AHP-Based Multicriteria Framework for Evaluating Renewable Energy Proposals in Public Hospitals | Italian Case Study

 

1. Introduction 

The growing need for sustainable solutions in public healthcare infrastructure has accelerated research into advanced decision-making frameworks capable of evaluating complex renewable energy proposals. This study emphasizes the application of the Analytic Hierarchy Process (AHP) as a robust multicriteria method for comparing diverse energy alternatives based on economic, environmental, and technical factors. Through a focused case study of an Italian hospital, the research demonstrates how structured decision models enhance clarity, transparency, and efficiency in selecting optimal renewable energy services. 

2. Multicriteria Decision-Making in Renewable Energy Evaluation

Multicriteria Decision-Making (MCDM) approaches have become essential in evaluating renewable energy solutions due to their ability to integrate qualitative and quantitative factors. This topic explores how MCDM supports balanced decision-making by considering financial feasibility, environmental benefits, operational reliability, and regulatory compatibility. The study demonstrates that applying structured methodologies such as AHP allows public institutions to justify energy investments more transparently and strategically.

3. AHP as a Framework for Public Healthcare Energy Decisions

The Analytic Hierarchy Process provides a hierarchical structure that simplifies complex choices by breaking them into manageable components. In the context of public healthcare, where energy systems directly influence patient safety and operational continuity, AHP ensures that decisions are data-driven and systematically validated. This section highlights the methodology's value in analytically comparing renewable energy service proposals.

4. Case Study Analysis: Renewable Energy Planning in an Italian Hospital

This research includes an in-depth case study focusing on an Italian hospital evaluating various renewable energy service proposals. The analysis showcases how AHP criteria—such as cost efficiency, environmental sustainability, technological readiness, and implementation risk—can be weighted and assessed to identify the most suitable solution for long-term energy planning in a healthcare environment.

5. Benefits of Integrating AHP into Healthcare Energy Strategies

Integrating AHP into healthcare energy planning provides institutions with several advantages, including improved transparency, reduced decision bias, and enhanced prioritization of sustainability goals. This discussion outlines how structured evaluation tools enable hospitals to balance short-term financial constraints with long-term environmental responsibilities, ultimately supporting greener and more resilient healthcare systems.

6. Future Research Directions in Renewable Energy Assessment for Healthcare

Future research may extend the AHP framework by combining it with emerging analytical tools such as fuzzy logic, machine learning, and life-cycle assessment models. Such advancements could enhance precision in energy evaluation, accommodate more dynamic variables, and better support public healthcare institutions as they transition toward low-carbon and smart energy infrastructure.

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