Multi-objective economic and environmental assessment for the preliminary design of CO2 transport pipelines

被引:13
|
作者
Zanobetti, Francesco [1 ,2 ]
Martynov, Sergey [1 ]
Cozzani, Valerio [2 ]
Mahgerefteh, Haroun [1 ]
机构
[1] UCL, Dept Chem Engn, London WC1E 7JE, England
[2] Univ Bologna, Dept Civil Chem Environm & Mat Engn, LISES Lab Ind Safety & Environm Sustainabil, Via Terracini 28, I-40131 Bologna, Italy
关键词
Carbon capture and storage; CO2 pipelines preliminary design; CO2 pipeline transport; Multi-objective optimisation; Techno-economic assessment; Environmental assessment; CARBON CAPTURE; GHG EMISSIONS; GAS; OPTIMIZATION; TECHNOLOGIES; COST; CCS; INFRASTRUCTURE; BENCHMARKING; ELECTRICITY;
D O I
10.1016/j.jclepro.2023.137330
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A methodology based on the multi-objective optimisation of economic and environmental aspects is presented to support the preliminary design of CO2 transport pipelines employed as part of Carbon Capture and Storage (CCS) systems. Pareto optimal design solutions are determined for a realistic point-to-point CO2 pipeline using Level Diagrams and choosing the Nominal Pipe Size (NPS) as a decision variable. A quantitative procedure entailing the definition of economic and environmental key performance indicators is defined to allow the identification of an optimum pipeline design. The outcome is compared against the minimisation of single-objective indicators based on the CO2 avoided and carbon pricing concepts. The results of a case-study concerning a 70 km long pipeline transporting 10 Mt yr(-1) of supercritical CO2 show that the multi-objective method yields an optimum NPS equal to 30, higher than the NPS 28 deriving from the alternative indexing methods. The proposed mul-ticriteria approach effectively considers case-specific environmental sustainability constraints, which result in determining 46% of the overall performance measure of the identified optimum solution. The results show that conventional single-objective methods underestimate the contribution of environmental factors up to 2.6% of the overall performance index value. A Monte Carlo probabilistic analysis is performed to verify the robustness of the results with respect to the possible uncertainties.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Multi-objective sustainable design model for integrating CO2 emissions and costs for slabs in office buildings
    Lee, Min Gyu
    An, Jung Hwan
    Bae, Sang Geun
    Oh, Hyung Seok
    Choi, Jewoo
    Yun, Da Yo
    Hong, Taehoon
    Lee, Dong-Eun
    Park, Hyo Seon
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2020, 16 (08) : 1096 - 1105
  • [22] Economic environmental dispatch using multi-objective differential evolution
    Basu, M.
    APPLIED SOFT COMPUTING, 2011, 11 (02) : 2845 - 2853
  • [23] New Approach to Solve Multi-objective Environmental / Economic Dispatch
    Guesmi, Tawfik
    Abdallah, Hsan Hadj
    Toumi, Ahmed
    JOURNAL OF ELECTRICAL SYSTEMS, 2006, 2 (02) : 64 - 81
  • [24] A hybrid multi-objective PSOGSA approach for environmental/economic dispatch
    Zhang, E. Z.
    Wu, Y. F.
    Chen, Q. W.
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 455 - 460
  • [25] Energy, Exergy, and Economic Performances of Combined CO2 Power and Cooling Systems: Comparison and Multi-Objective Optimization
    Yu, Aofang
    Xing, Lingli
    Lin, Xinxing
    Ou, Shaoduan
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [26] A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design
    Yao, Jian
    SUSTAINABILITY, 2014, 6 (02): : 602 - 614
  • [27] An interactive possibilistic programming approach for a multi-objective hub location problem: Economic and environmental design
    Zhalechian, Mohammad
    Tavakkoli-Moghaddam, Reza
    Rahimi, Yaser
    Jolai, Fariborz
    APPLIED SOFT COMPUTING, 2017, 52 : 699 - 713
  • [28] A multi-objective optimization model for sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design considering economic profit and financial risk
    Han, Jee-Hoon
    Ahn, Yu-Chan
    Lee, In-Beum
    APPLIED ENERGY, 2012, 95 : 186 - 195
  • [29] MULTI-OBJECTIVE OPTIMIZATION TECHNIQUE APPLIED TO PRELIMINARY DESIGN OF A TANKER
    Martins, Marcelo R.
    Burgos, Diego F. S.
    OMAE 2008: PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING - 2008, VOL 2, 2008, : 409 - 417
  • [30] AUTOMATED MULTI-OBJECTIVE OPTIMIZATION PROCESS FOR PRELIMINARY ENGINE DESIGN
    Kupijai, Philipp
    Bestle, Dieter
    Flassig, Peter M.
    Kickenweitz, Daniel
    PROCEEDINGS OF THE ASME TURBO EXPO 2012, VOL 1, 2012, : 87 - +