Multi-period Enviro-Economic Optimization of Municipal Solid Waste to Electricity

被引:6
作者
Octavianthy, Desti [1 ,2 ]
Syauqi, Ahmad [1 ,2 ]
Reyseliani, Nadhilah [1 ,2 ]
Purwanto, Widodo Wahyu [1 ,2 ]
机构
[1] Univ Indonesia, Fac Engn, Dept Chem Engn, Depok 16424, Indonesia
[2] Univ Indonesia, Sustainable Energy Syst & Policy Res Cluster, Depok 16424, Indonesia
关键词
Enviro-economic; Pyrolysis; Municipal solid waste; Multi-objective optimization; Waste to energy; LIFE-CYCLE ASSESSMENT; TO-ENERGY; MULTIOBJECTIVE OPTIMIZATION; RENEWABLE ENERGY; BIOGAS PRODUCTION; CARBON CAPTURE; FAST PYROLYSIS; COMBINED HEAT; POWER-SYSTEM; COST;
D O I
10.1007/s12649-022-01758-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increased production of municipal solid waste has adverse effects on the environment, such as increased greenhouse gas emissions, which drive climate change and accelerate global warming. Waste to energy (WtE) conversion is one of the solutions whereby waste is used to generate energy and mitigate the adverse effects of waste accumulation on the environment. This study proposes a method to select an optimum WtE technology based on multi-objective optimization through enviro-economic analysis of municipal solid waste conversion into electricity using various technologies, such as anaerobic digestion, incineration, gasification, and pyrolysis, and coupled with power generation technologies such as gas engine, gas turbine, steam turbine, solid-oxide fuel cell, and molten carbonate fuel cell technology, in multiple periods (2020-2050), these technologies are simulated using Aspen Plus. An optimization model was developed using General Algebraic Modeling System to determine optimum technologies with the minimum levelized cost of electricity and emission intensity. The energy efficiency of the studied power generation technologies has been validated with the literature and it is found that the deviation is only less than 4% which is within the acceptable range. From the parametric analysis, all the technologies experience cost reduction with GASIF+SOFC has the highest cost reduction with 58.5% from 2020 to 2050. The result shows that the optimum technologies for 2020-2030 period, is pyrolysis combined with a gas engine. The optimum technologies for 2035-2040 and 2045-2050 are pyrolysis with a gas turbine and gasification with solid-oxide fuel cell, respectively. [GRAPHICS] .
引用
收藏
页码:3707 / 3722
页数:16
相关论文
共 71 条
[1]  
[Anonymous], 2000, IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, pA3.19
[2]  
[Anonymous], 2018, An analysis of the operational costs of trucking: 2018 update
[3]  
Arrow Kenneth, 1971, Readings in the Theory of Growth, P131, DOI DOI 10.1007/978-1-349-15430-2_11
[4]   Life cycle assessment of waste-to-energy (WtE) technologies for electricity generation using municipal solid waste in Nigeria [J].
Ayodele, T. R. ;
Ogunjuyigbe, A. S. O. ;
Alao, M. A. .
APPLIED ENERGY, 2017, 201 :200-218
[5]   A Cogeneration System Based on Solid Oxide and Proton Exchange Membrane Fuel Cells With Hybrid Storage for Off-Grid Applications [J].
Baldi, Francesco ;
Wang, Ligang ;
Perez-Fortes, Mar ;
Marechal, Francois .
FRONTIERS IN ENERGY RESEARCH, 2019, 6
[6]   Multi-objective optimization and exergoeconomic analysis of waste heat recovery from Tehran's waste-to-energy plant integrated with an ORC unit [J].
Behzadi, Amirmohammad ;
Gholamian, Ehsan ;
Houshfar, Ehsan ;
Habibollahzade, Ali .
ENERGY, 2018, 160 :1055-1068
[7]  
BPS-Statistic Indonesia, 2018, TOT POP GEND RAT DIS
[8]  
Branchini L., 2015, Waste-to-Energy and Gas Turbine: Hybrid Combined Cycle Concept, P57, DOI DOI 10.1007/978-3-319-13608-0_5
[9]   Quantifying capital goods for waste incineration [J].
Brogaard, L. K. ;
Riber, C. ;
Christensen, T. H. .
WASTE MANAGEMENT, 2013, 33 (06) :1390-1396
[10]  
Chang NB, 2015, SUSTAINABLE SOLID WASTE MANAGEMENT: A SYSTEMS ENGINEERING APPROACH, P1, DOI 10.1002/9781119035848