| 000 | 03801nlm1a2200445 4500 | ||
|---|---|---|---|
| 001 | 665593 | ||
| 005 | 20231030042008.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\36792 | ||
| 035 | _aRU\TPU\network\35996 | ||
| 090 | _a665593 | ||
| 100 | _a20211021a2021 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aNL | ||
| 135 | _adrnn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aRelative energy efficiency indicators calculated for high-moisture waste-based fuel blends using multiple-criteria decision-making _fV. V. Dorokhov, G. V. Kuznetsov, K. Yu. Vershinina, P. A. Strizhak |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: 55 tit.] | ||
| 330 | _aIn 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. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tEnergy | ||
| 463 |
_tVol. 234 _v[121257, 14 p.] _d2021 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _awaste-to-energy | |
| 610 | 1 | _amultiple-criteria decision making | |
| 610 | 1 | _acombustion | |
| 610 | 1 | _aemissions | |
| 610 | 1 | _aatomization | |
| 610 | 1 | _aintegral efficiency indicator | |
| 701 | 1 |
_aDorokhov _bV. V. _cspecialist in the field of thermal power engineering and heat engineering _cResearch Engineer of Tomsk Polytechnic University _f1997- _gVadim Valerjevich _2stltpush _3(RuTPU)RU\TPU\pers\47191 |
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| 701 | 1 |
_aKuznetsov _bG. V. _cSpecialist in the field of heat power energy _cProfessor of Tomsk Polytechnic University, Doctor of Physical and Mathematical Sciences _f1949- _gGeny Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\31891 |
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| 701 | 1 |
_aVershinina _bK. Yu. _cspecialist in the field of heat and power engineering _claboratory assistant of Tomsk Polytechnic University _f1992- _gKseniya Yurievna _2stltpush _3(RuTPU)RU\TPU\pers\33706 |
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| 701 | 1 |
_aStrizhak _bP. A. _cSpecialist in the field of heat power energy _cDoctor of Physical and Mathematical Sciences (DSc), Professor of Tomsk Polytechnic University (TPU) _f1985- _gPavel Alexandrovich _2stltpush _3(RuTPU)RU\TPU\pers\30871 |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа энергетики _bНаучно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова) _h8025 _2stltpush _3(RuTPU)RU\TPU\col\23504 |
| 801 | 2 |
_aRU _b63413507 _c20220425 _gRCR |
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| 856 | 4 | _uhttps://doi.org/10.1016/j.energy.2021.121257 | |
| 942 | _cCF | ||