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This paper presents a methodological approach for characteristic-based selection of phase change materials (PCMs) for thermal energy storage in building applications. Unlike previous studies that were mainly focused on applying Multi-Criteria Decision Analysis (MCDA) to rank PCMs without using a rational ranking strategy, this study presents a weighted product method (WPM) based ranking strategy by incorporating qualitative and quantitative attributes of PCMs to rank and determine near-optimal PCMs for given applications. Qualitative attributes were converted into quantitative factors by using the standard Saaty scale. A weight assignment process was introduced to handle multiple characteristics of PCMs by using priority-based clusters in the pair-wise matrix of the analytical hierarchy process (AHP). The effectiveness of this strategy was tested and evaluated by performing two case studies. In the first case study, a sample dataset of PCMs was used to rank PCMs for different building

Multi criteria decision analysisBuilding applicationsCm selectionPerformance rankingThermal storageEighted product method