Relative energy efficiency indicators calculated for high-moisture waste-based fuel blends using multiple-criteria decision-making / V. V. Dorokhov, G. V. Kuznetsov, K. Yu. Vershinina, P. A. Strizhak

Уровень набора: EnergyАльтернативный автор-лицо: Dorokhov, V. V., specialist in the field of thermal power engineering and heat engineering, Research Engineer of Tomsk Polytechnic University, 1997-, Vadim Valerjevich;Kuznetsov, G. V., Specialist in the field of heat power energy, Professor of Tomsk Polytechnic University, Doctor of Physical and Mathematical Sciences, 1949-, Geny Vladimirovich;Vershinina, K. Yu., specialist in the field of heat and power engineering, laboratory assistant of Tomsk Polytechnic University, 1992-, Kseniya Yurievna;Strizhak, P. A., Specialist in the field of heat power energy, Doctor of Physical and Mathematical Sciences (DSc), Professor of Tomsk Polytechnic University (TPU), 1985-, Pavel AlexandrovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа энергетики, Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова)Язык: английский.Страна: .Резюме или реферат: In this paper, we present a comprehensive evaluation of low-rank fuel compositions obtained using multi-criteria decision-making methods. Here we used a unique combination of parameters, especially important for gaining an insight into the prospects of industrial combustion of water slurries based on waste. The research involved six sets of criteria (cost, energy efficiency, ease of preparation and storage, atomization, fragmentation, and emissions) including a total of seventeen characteristics determined experimentally. An integral efficiency indicator was calculated in each set using the Weighted Sum Model. After that, an overall indicator was calculated accounting for all the key factors. The integral indicator ranged from 0.4 to 0.9 in all the six categories of criteria. The lowest overall efficiency indicators (0.239-0.487) were typical of the fuel containing 50% of flame coal filter cake, 40% of water, and 10% of turbine oil. According to the analysis, the blends based on coal slime and water can be considered the best fuels. The main application of the research findings is the development of compositions to provide positive effects at the stages of fuel preparation, storage, transportation, atomization, and combustion..Примечания о наличии в документе библиографии/указателя: [References: 55 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | waste-to-energy | multiple-criteria decision making | combustion | emissions | atomization | integral efficiency indicator Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 55 tit.]

In this paper, we present a comprehensive evaluation of low-rank fuel compositions obtained using multi-criteria decision-making methods. Here we used a unique combination of parameters, especially important for gaining an insight into the prospects of industrial combustion of water slurries based on waste. The research involved six sets of criteria (cost, energy efficiency, ease of preparation and storage, atomization, fragmentation, and emissions) including a total of seventeen characteristics determined experimentally. An integral efficiency indicator was calculated in each set using the Weighted Sum Model. After that, an overall indicator was calculated accounting for all the key factors. The integral indicator ranged from 0.4 to 0.9 in all the six categories of criteria. The lowest overall efficiency indicators (0.239-0.487) were typical of the fuel containing 50% of flame coal filter cake, 40% of water, and 10% of turbine oil. According to the analysis, the blends based on coal slime and water can be considered the best fuels. The main application of the research findings is the development of compositions to provide positive effects at the stages of fuel preparation, storage, transportation, atomization, and combustion.

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