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Application of an Integrated Analytic Hierarchy Process and Interpretive Structural Modeling Methodology for Selecting Energy-Saving Methods


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DOI: https://doi.org/10.15866/iree.v18i3.23343

Abstract


The paper proposes an integrated Analytic Hierarchy Process and Interpretive Structural Modeling (AHP-ISM) methodology that is to be applied to rail to select and rank the different energy-saving methods in order of importance in the face of several different alternatives and criteria. As part of the AHP-ISM process, the goal identified is total traction energy reduction and the selected solutions to be ranked are those categorized as producing high or medium savings. The solutions should improve traction efficiency, reduce motion resistance, maximize regenerative braking use, energy storage and efficient driving methods. The criteria identified for the AHP hierarchy are the ability to reduce energy consumption, emission reduction, suitability of the solution, cost to implement and journey time. The application of the AHP-ISM is validated by the application of a sensitivity analysis. In the process, the paper identified the most suitable techniques for maximizing regenerative energy within the 3 kV DC urban rail systems. The AHP ranked the use of regenerative energy use as the most suitable energy-saving solution in urban rail traction services with a priority weighting of 41.54%.
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Keywords


Analytic Hierarchy Process; Decision-Making; Energy Savings; Energy Storage; Interpretive Structural Modeling; Ranking; Regenerative Braking

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