Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach

• Evaluated power-to-heat technologies for industrial electrification and decarbonization. • Found efficient, reliable industrial electrification solutions excelling in 6 criteria. • Used MCDA with WSM, TOPSIS, normalization, and Monte Carlo simulation. • Scenario analysis confirms Heat Pump and MVR’s robustness across various criteria. • Findings aid a framework for stakeholders to adopt sustainable, low-carbon industrial heat. To mitigate climate change, transitioning industrial heat systems from fossil fuels to electric-based solutions is crucial. This research identifies and evaluates various power-to-heat technologies, each technology contributes uniquely to the overarching goal of industrial electrification. Through a rigorous methodology involving categorisation based on technology readiness level (TRL), electrification stage, carbon emission per each kWh of heat delivery, energy efficiency, installation complexity, and life span, a Multi-Criteria Decision Analysis (MCDA) is conducted to assess the performance of each technology. To validate the proposed ranking, the weighted sum method (WSM) was compared to the method of preferential scheduling by equivalent solutions (TOPSIS). In addition to prioritizing each criterion, six scenarios were investigated using sensitivity analysis to determine the performance of each criterion and ranking of technologies using a scenario based weighting technique. The study indicates Heat Pump and Mechanical Vapor Recompression as the most dependable and high-performing technologies, continuously giving top marks and serving as the finest solutions for a wide range of applications. In contrast, Plasma Technology and Microwave and Radio frequency heaters are regarded as the least effective, with continuously low ratings, making them less desirable alternatives. By synthesizing the results and defining different scenarios, this detailed analysis provides decision-makers, industry stakeholders, and researchers with useful insights into the many alternatives for direct electrification of heat supply. Finally, the MCDA in this study is designed for current and future scenarios, allowing new technologies to be analyzed and ranked with the proposed algorithm

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Publication Details

Journal
Energy Conversion and Management X
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ecmx.2025.100882
Citations
8
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
5.46

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article

Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach

Ken Bruton, Arman Ashabi, Dominic O’Sullivan, Andriy Hryshchenko et al.
8 citations
Energy Conversion and Management X
Advanced Battery Technologies Research
5.46
article

Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach

Ken Bruton, Arman Ashabi, Dominic O’Sullivan, Andriy Hryshchenko, Mohamed Mostafa
article en
8 citations

Abstract

• Evaluated power-to-heat technologies for industrial electrification and decarbonization. • Found efficient, reliable industrial electrification solutions excelling in 6 criteria. • Used MCDA with WSM, TOPSIS, normalization, and Monte Carlo simulation. • Scenario analysis confirms Heat Pump and MVR’s robustness across various criteria. • Findings aid a framework for stakeholders to adopt sustainable, low-carbon industrial heat. To mitigate climate change, transitioning industrial heat systems from fossil fuels to electric-based solutions is crucial. This research identifies and evaluates various power-to-heat technologies, each technology contributes uniquely to the overarching goal of industrial electrification. Through a rigorous methodology involving categorisation based on technology readiness level (TRL), electrification stage, carbon emission per each kWh of heat delivery, energy efficiency, installation complexity, and life span, a Multi-Criteria Decision Analysis (MCDA) is conducted to assess the performance of each technology. To validate the proposed ranking, the weighted sum method (WSM) was compared to the method of preferential scheduling by equivalent solutions (TOPSIS). In addition to prioritizing each criterion, six scenarios were investigated using sensitivity analysis to determine the performance of each criterion and ranking of technologies using a scenario based weighting technique. The study indicates Heat Pump and Mechanical Vapor Recompression as the most dependable and high-performing technologies, continuously giving top marks and serving as the finest solutions for a wide range of applications. In contrast, Plasma Technology and Microwave and Radio frequency heaters are regarded as the least effective, with continuously low ratings, making them less desirable alternatives. By synthesizing the results and defining different scenarios, this detailed analysis provides decision-makers, industry stakeholders, and researchers with useful insights into the many alternatives for direct electrification of heat supply. Finally, the MCDA in this study is designed for current and future scenarios, allowing new technologies to be analyzed and ranked with the proposed algorithm

Energy Conversion and Management XVol. 25
University College Cork (IE)
University College Cork
Openalex Percentile: Top 5%
Advanced Battery Technologies Research
5.46
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Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach — Ken Bruton, Arman Ashabi, et al. · Energy Conversion and Management X (2025) | TGRS Research Map | TGRS