Screening of carbon dioxide utilization options using hybrid Analytic Hierarchy Process-Data Envelopment Analysis method

被引:28
作者
Tapia, John Frederick D. [1 ]
Promentilla, Michael Angelo B. [1 ]
Tseng, Ming-Lang [2 ]
Tan, Raymond R. [1 ]
机构
[1] De La Salle Univ, Chem Engn Dept, 2401 Taft Ave, Manila 0922, Philippines
[2] Lunghwa Univ Sci & Technol, Dept Business Adm, 300,Sect 1,Wanshou Rd, Taoyuan 333, Taiwan
关键词
CO2; capture; Utilization and storage (CCUS); Multi-criteria decision analysis (MCDA); Analytic hierarchy process (AHP); Data envelopment analysis (DEA); Monte Carlo simulation; TIME OPTIMIZATION MODEL; CO2 GEOLOGICAL STORAGE; CCS SYSTEMS; CAPTURE; CCUS; DEPLOYMENT; DECISION; PROJECT; AHP;
D O I
10.1016/j.jclepro.2017.07.182
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon dioxide capture, utilization, and storage is an emerging strategy that can contribute to the reduction of greenhouse gas emissions. It enables the use of captured carbon dioxide from industrial sources as feedstock for profitable use or sequestration. This strategy simultaneously allows the use of fossil fuel power plants and the reduction of carbon emissions through storage. Options for carbon dioxide utilization include enhanced oil recovery, enhanced coal bed methane and enhanced shale gas recovery, all of which involve its use as an injection fluid for additional product recovery. A significant portion of the injected carbon dioxide is sequestered. Identification and screening of utilization options for project development is important to develop a cost-effective system. In this study, a hybrid Analytic Hierarchy Process-Data Envelopment Analysis framework is developed to select efficient carbon dioxide utilization options. The selection is based on combining available quantitative data and expert judgments on qualitative criteria to come up with efficiency scores as basis for selection. Two case studies based on realistic data are presented to illustrate the framework. Analysis using Monte Carlo simulation is used to determine the effect of uncertainties on the selected options. The case studies demonstrate the applicability of the methodology to practical problems in the planning of low-carbon systems. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1361 / 1370
页数:10
相关论文
共 74 条
[1]   Emerging CO2 capture systems [J].
Abanades, J. C. ;
Arias, B. ;
Lyngfelt, A. ;
Mattisson, T. ;
Wiley, D. E. ;
Li, H. ;
Ho, M. T. ;
Mangano, E. ;
Brandani, S. .
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2015, 40 :126-166
[2]  
[Anonymous], 2010, CARBON DIOXIDE ENHAN, Vfirst
[3]  
Aresta M, 2010, WOODHEAD PUBL SER EN, P377, DOI 10.1533/9781845699581.4.377
[4]   Hype among low-carbon technologies: Carbon capture and storage in comparison [J].
Arranz, Alfonso Martinez .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2016, 41 :124-141
[5]  
Asian Development Bank, 2013, PROSP CARB CAPT STOR
[6]   Energy and complexity: New ways forward [J].
Bale, Catherine S. E. ;
Varga, Liz ;
Foxon, Timothy J. .
APPLIED ENERGY, 2015, 138 :150-159
[7]   SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS [J].
BANKER, RD ;
CHARNES, A ;
COOPER, WW .
MANAGEMENT SCIENCE, 1984, 30 (09) :1078-1092
[8]  
Bayar Y., 2014, International Journal of Energy Economics and Policy, V4, P238
[9]   Simulation and optimization of enhanced gas recovery utilizing CO2 [J].
Biagi, James ;
Agarwal, Ramesh ;
Zhang, Zheming .
ENERGY, 2016, 94 :78-86
[10]  
Billo E.Joseph., 2007, Excel for Scientists and Engineers: Numerical Methods