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Multi-Criteria Efficiency Analysis of Using Waste-Based Fuel Mixtures in the Power Industries of China, Japan, and Russia

Heat and Mass Transfer Simulation Laboratory, National Research Tomsk Polytechnic University, 30 Lenin Avenue, Tomsk 634050, Russia
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Appl. Sci. 2020, 10(7), 2460; https://doi.org/10.3390/app10072460
Received: 13 March 2020 / Revised: 29 March 2020 / Accepted: 30 March 2020 / Published: 3 April 2020
(This article belongs to the Special Issue Environmental Friendly Technologies in Power Engineering)
This paper presents the results of analyzing the efficiency of the following five fuel types: dry coal, wet coal processing waste, coal–water slurry, and two waste-derived slurries. In the calculations, we employed 16 criteria related to the energy industry, economy, social aspects, safety at plants, and environmental protection. We used the experimental data, obtained from the combustion of the fuels under study at three heating temperatures (700 °C, 800 °C, and 900 °C). Three countries were analyzed, where all of them have a high share of using fossil fuels in the energy industry: Japan, China, and Russia. The total performance indicator was calculated using three multiple-criteria decision analysis techniques (weighted sum method, weighted product method, and analytic hierarchy process). The choice of weight coefficients was confirmed for each method. We found that coal and coal–water slurry had the lowest integral efficiency indicators (0.016–0.535 and 0.045–0.566, respectively). The maximum effect was achieved when using waste-derived slurry with used turbine oil (0.190–0.800) and coal processing waste (0.535–0.907). There were, on average, 3%–60% differences in the integral efficiency indicator for the same fuel in different countries. The difference in the efficiency indicator of the same fuel in different countries was on average 3%–60%; with changes in temperature, the difference in efficiency was 5%–20%; and when changing the calculation procedure, the difference was 10%–90%. View Full-Text
Keywords: multi-criteria analysis; coalwater slurries; coal and oil processing waste; coal; efficiency indicators multi-criteria analysis; coalwater slurries; coal and oil processing waste; coal; efficiency indicators
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MDPI and ACS Style

Vershinina, K.; Dorokhov, V.; Romanov, D.; Nyashina, G.; Kuznetsov, G. Multi-Criteria Efficiency Analysis of Using Waste-Based Fuel Mixtures in the Power Industries of China, Japan, and Russia. Appl. Sci. 2020, 10, 2460. https://doi.org/10.3390/app10072460

AMA Style

Vershinina K, Dorokhov V, Romanov D, Nyashina G, Kuznetsov G. Multi-Criteria Efficiency Analysis of Using Waste-Based Fuel Mixtures in the Power Industries of China, Japan, and Russia. Applied Sciences. 2020; 10(7):2460. https://doi.org/10.3390/app10072460

Chicago/Turabian Style

Vershinina, Ksenia, Vadim Dorokhov, Daniil Romanov, Galina Nyashina, and Geniy Kuznetsov. 2020. "Multi-Criteria Efficiency Analysis of Using Waste-Based Fuel Mixtures in the Power Industries of China, Japan, and Russia" Applied Sciences 10, no. 7: 2460. https://doi.org/10.3390/app10072460

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