Development and application of a multi-stage CCUS source–sink matching model

Applied Energy

Volumn 185, Issue , 2017, Pages 1424-1432

  Sun, Liang ^a,b   Chen, Wenying ^a  

^a TSINGHUA UNIVERSITY   (China)

^b Civil Aviation Management Institute of China   (China)

Author keywords

Carbon capture; Decision support system; Multi stage programming; Pipeline network; Source sink matching; Utilization and storage

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARBON CAPTURE; CARBON DIOXIDE; CLIMATE CHANGE; EMISSION CONTROL; ENVIRONMENTAL IMPACT; INTEGER PROGRAMMING; INVESTMENTS; PIPELINES;

CARBON EMISSIONS REDUCTIONS; CLIMATE CHANGE AGREEMENTS; DEVELOPMENT AND APPLICATIONS; LITERATURE REVIEWS; MIXED INTEGER PROGRAMMING MODEL; MULTI-STAGE PROGRAMMING; PIPELINE NETWORKS; SOURCE-SINK;

DECISION SUPPORT SYSTEMS;

ATMOSPHERIC POLLUTION; CARBON EMISSION; CARBON SEQUESTRATION; CLIMATE CHANGE; DECISION SUPPORT SYSTEM; LITERATURE REVIEW; PIPELINE; SOURCE-SINK DYNAMICS;

BEIJING [CHINA]; CHINA; FRANCE; HEBEI; ILE DE FRANCE; PARIS; TIANJIN; VILLE DE PARIS;

EID: 85003945922     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.009     Document Type: Article

References (34)

1. [1] Chen, W., The costs of mitigating carbon emissions in China: findings from China MARKAL–MACRO modeling. Energy Policy 33:7 (2015), 885–896, 10.1016/j.enpol.2003.10.012.
2. [2] Chen, W., Wu, Z., He, J., et al. Carbon emission control strategies for China: a comparative study with partial and general equilibrium versions of the China MARKAL model. Energy 32:1 (2007), 59–72, 10.1016/j.energy.2006.01.018.
3. [3] Chen, W., Li, H., Wu, Z., Western China energy development and west to east energy transfer: application of the Western China sustainable energy development model. Energy Policy 38 (2010), 7106–7120, 10.1016/j.enpol.2010.07.029.
4. [4] Chen, W., Yin, X., Zhang, H., Towards low carbon development in China: a comparison of national and global models. Clim Change, 2013, 10.1007/s10584-013-0937-73.
5. 2 emissions. Appl Energy 136 (2014), 1174–1183.
6. [6] Ma, D., Chen, W., Yin, X., Wang, L., Quantifying the co-benefits of decarbonisation in China's steel sector: an integrated assessment approach. Appl Energy 162 (2016), 1225–1237, 10.1016/j.apenergy.2015.08.005.
7. [7] Shi, J., Yin, X., Chen, W., Modelling building's decarbonization with application of China TIMES model. Appl Energy 162 (2016), 1303–1312, 10.1016/j.apenergy.2015.06.056.
8. [8] Zhang, H., Chen, W., Huang, W., TIMES modelling of transport sector in China and USA: comparisons from a decarbonization perspective. Appl Energy 162 (2016), 1505–1514, 10.1016/j.apenergy.2015.08.124.
9. [9] Huang, W., Ma, D., Chen, W., Connecting water and energy: assessing the impacts of carbon and water constraints on China's power sector. Appl Energy 185 (2017), 1497–1505.
10. [10] Chen, W., The potential role of CCS to mitigate carbon emissions in future China. Energy Proc 4 (2011), 6007–6014.
11. [11] Chen, W., Wu, Z., Wang, W., Carbon Capture and Storage (CCS) and its potential role to mitigate carbon emission in China. Environ Sci (China) 28:6 (2007), 1178–1182.
12. 2 source–sink matching algorithm documentation. http://www.google.com.hk/url?sa=t&source=web&cd=26&ved=0CEcQFjAFOBQ&url=http%3A%2F%2Fsequestration.mit.edu%2Fenergylab%2Fuploads%2FDocumentLink%2FCCS_Source_Sink_Matching_Aug_2009-2.doc&ei=poJGToLLKYnNmAXa8vTcBg&usg=AFQjCNHns5NkXDIBjRN9uErFhbOb2datuQ.
13. 2 sources, sinks, and infrastructure for the Ordos Basin, China. Energy Proc 63 (2013), 2702–2709.
14. 2 capture and storage. In: The 6th pipeline technology conference; 2011.
15. 2 capture and storage optimization problem. Comput Environ Urban Syst 36 (2012), 18–29, 10.1016/j.compenvurbsys.2011.08.002.
16. [16] Kobos PH, Malczynski LA, Borns DJ. Employing the ‘string of pearls’ integrated assessment model: A carbon sequestration systems analysis tool. In: The 26th USAEE/IAEE North American conference, Ann Arbor, MI; 2006.
17. 2 sequestration. Kaya, J.G., (eds.) Greenhouse gas control technologies – 6th international conference, 2003, Oxford, Pergamon, 627–632.
18. [18] Middleton, R.S., Bielicki, J.M., A scalable infrastructure model for carbon capture and storage: SimCCS. Energy Policy 37 (2009), 1052–1060.
19. [19] Middleton, R.S., Bielicki, J.M., A scalable infrastructure model for carbon capture and storage: SimCCS. Energy Policy 37 (2009), 1052–1060, 10.1016/j.enpol.2008.09.049.
20. 2 capture and storage given a price on carbon. Int Reg Sci Rev 34 (2011), 285–305, 10.1177/0160017610397191.
21. 2 capture and storage infrastructure. Environ Modell Softw 2012:37 (2012), 193–205, 10.1016/j.envsoft.2012.04.003.
22. 2 transmission infrastructure: the JRC InfraCCS tool. Energy Proc 4 (2011), 2772–2777.
23. [23] Sun, L., Chen, W., The improved ChinaCCS decision support system: a case study for Beijing–Tianjin–Hebei region of China. Appl Energy 112 (2013), 793–799.
24. [24] Chen, W., Le Nindre, Y.M., Xu, R., et al. CCS scenarios optimization by spatial multi-criteria analysis: application to multiple source sink matching in Hebei province. Int J Greenhouse Gas Control 4 (2010), 341–350.
25. [25] Chen, W., Huang, L., Xiang, X., Chen, Sun, GIS based CCS source–sink matching models and decision support system. Energy Proc 4 (2011), 5999–6006.
26. [26] Chen, W., Teng, F., Xu, R., Xiang, X., Zeng, R., Domptail, K., et al. CCS scenarios optimisation by spatial multi-criteria analysis: application to multiple source–sink matching in the Bohai Basin (North China). Energy Proc 1 (2009), 4167–4174.
27. 2: the Sleipner and GESTCO projects. Environ Geosci 8:3 (2001), 160–165.
28. [28] Neele, F., Hendriks, C., Brandsma, R., Geocapacity: economic feasibility of CCS in networked systems. Energy Proc 1:1 (2009), 4217–4224.
29. [29] Kazmierczak, T., Brandsma, R., Neele, F., Hendriks, C., Algorithm to create a CCS low-cost pipeline network. Energy Proc 1 (2009), 1617–1623.
30. 2 capture coupled with enhanced oil recovery. Int J Energy Res 37 (2013), 1794–1810, 10.1002/er.2993.
31. 2 capture and storage deployment: illustrated in the Dutch energy system. Energy Policy 39:4 (2011), 2000–2019.
32. 2 transport and storage infrastructure. Int J Greenhouse Gas Control 2012:8 (2012), 132–142, 10.1016/j.ijggc.2012.02.005.
33. 2 capture and storage: variable electricity generation and fossil fuel power. Appl Energy 108 (2013), 66–73, 10.1016/j.apenergy.2013.02.065.
34. 2 infrastructure network. Appl Energy 158 (2015), 332–347.