Relative energy efficiency indicators calculated for high-moisture waste-based fuel blends using multiple-criteria decision-making

被引:15
作者
Dorokhov, V. V. [1 ]
Kuznetsov, G., V [1 ]
Vershinina, K. Yu [1 ]
Strizhak, P. A. [1 ]
机构
[1] Natl Res Tomsk Polytech Univ, 30 Lenin Ave, Tomsk 634050, Russia
关键词
Waste-to-energy; Multiple-criteria decision making; Combustion; Emissions; Atomization; Integral efficiency indicator; ANALYTIC HIERARCHY PROCESS; BIODIESEL BLEND; COAL; SELECTION; TOPSIS; GENERATION;
D O I
10.1016/j.energy.2021.121257
中图分类号
O414.1 [热力学];
学科分类号
摘要
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 (0.239e0.487) 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. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
相关论文
共 55 条
[1]   Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia [J].
Ahmad, Salman ;
Tahar, Razman Mat .
RENEWABLE ENERGY, 2014, 63 :458-466
[2]   Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: The case study of Lagos, Nigeria [J].
Alao, M. A. ;
Ayodele, T. R. ;
Ogunjuyigbe, A. S. O. ;
Popoola, O. M. .
ENERGY, 2020, 201
[3]   Prioritizing the existing power generation technologies in Bangladesh ?s clean energy scheme using a hybrid multi -criteria decision making model [J].
Ali, Tausif ;
Chiu, Yie-Ru ;
Aghaloo, Kamaleddin ;
Nahian, Ahmed Jaudat ;
Ma, Hongzhong .
JOURNAL OF CLEANER PRODUCTION, 2020, 267
[4]   Micro-explosion and puffing of a group of two-component droplets [J].
Antonov, D., V ;
Fedorenko, R. M. ;
Strizhak, P. A. .
APPLIED THERMAL ENGINEERING, 2020, 181
[5]   Explosive disintegration of two-component drops under intense conductive, convective, and radiant heating [J].
Antonov, Dmitry, V ;
Piskunov, Maxim, V ;
Strizhak, Pavel A. .
APPLIED THERMAL ENGINEERING, 2019, 152 :409-419
[6]  
Anufriev I. S., 2019, Journal of Physics: Conference Series, V1369, DOI 10.1088/1742-6596/1369/1/012031
[8]   A FUZZY MULTI-CRITERIA DECISION MAKING METHODOLOGY BASED UPON THE INTERVAL TYPE-2 FUZZY SETS FOR EVALUATING RENEWABLE ENERGY ALTERNATIVES IN TURKEY [J].
Balin, Abit ;
Baracli, Hayri .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2017, 23 (05) :742-763
[9]   Combustion of preheated raw animal fats-diesel fuel blends at diesel engine [J].
Cernat, Alexandru ;
Pana, Constantin ;
Negurescu, Niculae ;
Lazaroiu, Gheorghe ;
Nutu, Cristian ;
Fuiorescu, Dinu ;
Toma, Marius ;
Nicolici, Adrian .
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2020, 140 (05) :2369-2375
[10]   Identifying and Ranking of Alternative Fuels by Using AHP and PROMETHEE II Methods to Find Best Fuel for Bus Rapid Transit System [J].
Dadashpour, Iman ;
Rostami, Ahmadreza .
INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS, 2018, 5 (04) :74-87