IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v108y2013icp383-391.html
   My bibliography  Save this article

Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation

Author

Listed:
  • Rochedo, Pedro R.R.
  • Szklo, Alexandre

Abstract

Carbon capture is one of the most important alternatives for mitigating greenhouse gas emissions in energy facilities. The post-combustion route based on chemical absorption with amine solvents is the most feasible alternative for the short term. However, this route implies in huge energy penalties, mainly related to the solvent regeneration. By defining the minimum work of separation (MWS), this study estimated the minimum energy required to capture the CO2 emitted by coal-fired thermal power plants. Then, by evaluating solvents and processes and comparing it to the MWS, it proposes the learning model with the best fit for the post-combustion chemical absorption of CO2. Learning models are based on earnings from experience, which can include the intensity of research and development. In this study, three models are tested: Wright, DeJong and D&L. Findings of the thermochemical analysis indicated a MWS of 0.158GJ/t for post-combustion. Conventional solvents currently present an energy penalty eight times the MWS. By using the MWS as a constraint, this study found that the D&L provided the best fit to the available data of chemical solvents and absorption plants. The learning rate determined through this model is very similar to the ones found in the literature.

Suggested Citation

  • Rochedo, Pedro R.R. & Szklo, Alexandre, 2013. "Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation," Applied Energy, Elsevier, vol. 108(C), pages 383-391.
    • Handle: RePEc:eee:appene:v:108:y:2013:i:c:p:383-391
    DOI: 10.1016/j.apenergy.2013.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913001931
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2013.03.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liang, Xi & Reiner, David & Li, Jia, 2011. "Perceptions of opinion leaders towards CCS demonstration projects in China," Applied Energy, Elsevier, vol. 88(5), pages 1873-1885, May.
    2. Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
    3. Pettinau, Alberto & Ferrara, Francesca & Amorino, Carlo, 2012. "Techno-economic comparison between different technologies for a CCS power generation plant integrated with a sub-bituminous coal mine in Italy," Applied Energy, Elsevier, vol. 99(C), pages 32-39.
    4. Liu, Hengwei & Gallagher, Kelly Sims, 2010. "Catalyzing strategic transformation to a low-carbon economy: A CCS roadmap for China," Energy Policy, Elsevier, vol. 38(1), pages 59-74, January.
    5. Li, H. & Yan, J., 2009. "Impacts of equations of state (EOS) and impurities on the volume calculation of CO2 mixtures in the applications of CO2 capture and storage (CCS) processes," Applied Energy, Elsevier, vol. 86(12), pages 2760-2770, December.
    6. Li, Sheng & Zhang, Xiaosong & Gao, Lin & Jin, Hongguang, 2012. "Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies," Applied Energy, Elsevier, vol. 93(C), pages 348-356.
    7. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
    8. Blyth, William & Bunn, Derek & Kettunen, Janne & Wilson, Tom, 2009. "Policy interactions, risk and price formation in carbon markets," Energy Policy, Elsevier, vol. 37(12), pages 5192-5207, December.
    9. Ferioli, F. & Schoots, K. & van der Zwaan, B.C.C., 2009. "Use and limitations of learning curves for energy technology policy: A component-learning hypothesis," Energy Policy, Elsevier, vol. 37(7), pages 2525-2535, July.
    10. Viebahn, Peter & Daniel, Vallentin & Samuel, Höller, 2012. "Integrated assessment of carbon capture and storage (CCS) in the German power sector and comparison with the deployment of renewable energies," Applied Energy, Elsevier, vol. 97(C), pages 238-248.
    11. Zhu, Lei & Fan, Ying, 2011. "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, vol. 88(12), pages 4320-4333.
    12. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    13. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    14. Riahi, Keywan & Rubin, Edward S. & Taylor, Margaret R. & Schrattenholzer, Leo & Hounshell, David, 2004. "Technological learning for carbon capture and sequestration technologies," Energy Economics, Elsevier, vol. 26(4), pages 539-564, July.
    15. Huang, Bin & Xu, Shisen & Gao, Shiwang & Liu, Lianbo & Tao, Jiye & Niu, Hongwei & Cai, Ming & Cheng, Jian, 2010. "Industrial test and techno-economic analysis of CO2 capture in Huaneng Beijing coal-fired power station," Applied Energy, Elsevier, vol. 87(11), pages 3347-3354, November.
    16. Hoffmann, Bettina Susanne & Szklo, Alexandre, 2011. "Integrated gasification combined cycle and carbon capture: A risky option to mitigate CO2 emissions of coal-fired power plants," Applied Energy, Elsevier, vol. 88(11), pages 3917-3929.
    17. Gerbelová, Hana & Versteeg, Peter & Ioakimidis, Christos S. & Ferrão, Paulo, 2013. "The effect of retrofitting Portuguese fossil fuel power plants with CCS," Applied Energy, Elsevier, vol. 101(C), pages 280-287.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zheng, Yawen & Gao, Lin & He, Song, 2023. "Analysis of the mechanism of energy consumption for CO2 capture in a power system," Energy, Elsevier, vol. 262(PA).
    2. da Silva Neves, Marcus Vinicius & Szklo, Alexandre & Schaeffer, Roberto, 2023. "Fossil fuel facilities exergy return for a frontier of analysis incorporating CO2 capture: The case of a coal power plant," Energy, Elsevier, vol. 284(C).
    3. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    4. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2014. "Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 117(C), pages 62-75.
    5. Peter Viebahn & Daniel Vallentin & Samuel Höller, 2015. "Integrated Assessment of Carbon Capture and Storage (CCS) in South Africa’s Power Sector," Energies, MDPI, vol. 8(12), pages 1-27, December.
    6. Xu, Qilong & Wang, Shuai & Luo, Kun & Mu, Yanfei & Pan, Lu & Fan, Jianren, 2023. "Process modelling and optimization of a 250 MW IGCC system: ASU optimization and thermodynamic analysis," Energy, Elsevier, vol. 282(C).
    7. Zhang, Yingying & Ji, Xiaoyan & Lu, Xiaohua, 2014. "Energy consumption analysis for CO2 separation from gas mixtures," Applied Energy, Elsevier, vol. 130(C), pages 237-243.
    8. Lucena, André F.P. & Clarke, Leon & Schaeffer, Roberto & Szklo, Alexandre & Rochedo, Pedro R.R. & Nogueira, Larissa P.P. & Daenzer, Kathryn & Gurgel, Angelo & Kitous, Alban & Kober, Tom, 2016. "Climate policy scenarios in Brazil: A multi-model comparison for energy," Energy Economics, Elsevier, vol. 56(C), pages 564-574.
    9. Ravikumar, Dwarakanath & Keoleian, Gregory & Miller, Shelie, 2020. "The environmental opportunity cost of using renewable energy for carbon capture and utilization for methanol production," Applied Energy, Elsevier, vol. 279(C).
    10. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    11. Schakel, Wouter & Meerman, Hans & Talaei, Alireza & Ramírez, Andrea & Faaij, André, 2014. "Comparative life cycle assessment of biomass co-firing plants with carbon capture and storage," Applied Energy, Elsevier, vol. 131(C), pages 441-467.
    12. Bergesen, Joseph D. & Suh, Sangwon, 2016. "A framework for technological learning in the supply chain: A case study on CdTe photovoltaics," Applied Energy, Elsevier, vol. 169(C), pages 721-728.
    13. Costa, Isabella & Rochedo, Pedro & Costa, Daniele & Ferreira, Paula & Araújo, Madalena & Schaeffer, Roberto & Szklo, Alexandre, 2019. "Placing hubs in CO2 pipelines: An application to industrial CO2 emissions in the Iberian Peninsula," Applied Energy, Elsevier, vol. 236(C), pages 22-31.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    2. Tola, Vittorio & Pettinau, Alberto, 2014. "Power generation plants with carbon capture and storage: A techno-economic comparison between coal combustion and gasification technologies," Applied Energy, Elsevier, vol. 113(C), pages 1461-1474.
    3. Njomza Ibrahimi & Alemayehu Gebremedhin & Alketa Sahiti, 2019. "Achieving a Flexible and Sustainable Energy System: The Case of Kosovo," Energies, MDPI, vol. 12(24), pages 1-22, December.
    4. Zhang, Minkai & Guo, Yincheng, 2013. "Rate based modeling of absorption and regeneration for CO2 capture by aqueous ammonia solution," Applied Energy, Elsevier, vol. 111(C), pages 142-152.
    5. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    6. Liu, Jiangfeng & Zhang, Qi & Li, Hailong & Chen, Siyuan & Teng, Fei, 2022. "Investment decision on carbon capture and utilization (CCU) technologies—A real option model based on technology learning effect," Applied Energy, Elsevier, vol. 322(C).
    7. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    8. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.
    9. Zhang, Shuwei & Bauer, Nico & Luderer, Gunnar & Kriegler, Elmar, 2014. "Role of technologies in energy-related CO2 mitigation in China within a climate-protection world: A scenarios analysis using REMIND," Applied Energy, Elsevier, vol. 115(C), pages 445-455.
    10. Herui Cui & Tian Zhao & Ruirui Wu, 2018. "An Investment Feasibility Analysis of CCS Retrofit Based on a Two-Stage Compound Real Options Model," Energies, MDPI, vol. 11(7), pages 1-19, July.
    11. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    12. Yang, Lin & Lv, Haodong & Wei, Ning & Li, Yiming & Zhang, Xian, 2023. "Dynamic optimization of carbon capture technology deployment targeting carbon neutrality, cost efficiency and water stress: Evidence from China's electric power sector," Energy Economics, Elsevier, vol. 125(C).
    13. Jiang, Xi, 2011. "A review of physical modelling and numerical simulation of long-term geological storage of CO2," Applied Energy, Elsevier, vol. 88(11), pages 3557-3566.
    14. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013. "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, vol. 112(C), pages 866-875.
    15. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
    16. Zhou, Wenji & Zhu, Bing & Chen, Dingjiang & Zhao, Fangxian & Fei, Weiyang, 2014. "How policy choice affects investment in low-carbon technology: The case of CO2 capture in indirect coal liquefaction in China," Energy, Elsevier, vol. 73(C), pages 670-679.
    17. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
    18. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    19. Manzolini, G. & Sanchez Fernandez, E. & Rezvani, S. & Macchi, E. & Goetheer, E.L.V. & Vlugt, T.J.H., 2015. "Economic assessment of novel amine based CO2 capture technologies integrated in power plants based on European Benchmarking Task Force methodology," Applied Energy, Elsevier, vol. 138(C), pages 546-558.
    20. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian & Li, Fengyu, 2019. "How can carbon capture utilization and storage be incentivized in China? A perspective based on the 45Q tax credit provisions," Energy Policy, Elsevier, vol. 132(C), pages 1229-1240.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:108:y:2013:i:c:p:383-391. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.