IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v104y2013icp783-790.html
   My bibliography  Save this article

A novel graphical approach to target CO2 emissions for energy resource planning and utility system optimization

Author

Listed:
  • Al-Mayyahi, Mohmmad A.
  • Hoadley, Andrew F.A.
  • Rangaiah, G.P.

Abstract

Many optimization techniques, both numerical and graphical, have recently been introduced for carbon dioxide (CO2) emissions targeting. These targeting approaches have been applied to a wide range of applications including energy allocation and utility systems optimization. However, the trade-off between the operating cost and the associated CO2 emissions cannot be easily assessed. This paper presents a new simple graphical approach to target CO2 emissions associated with energy resources and utility systems. The principles of marginal energy cost and marginal CO2 emissions are employed to construct two composite curves to be used as targeting tools. The CO2 emissions composite curve (CO2CC) and cost composite curve (CCC) are used to determine the minimum cost associated with increasing energy demand whilst simultaneously meeting a given CO2 emissions target. Multiple trade-off solutions so called Pareto optimal solutions can be generated using a range of emissions targets. The new graphical approach can be used to target CO2 emissions related to utility systems and energy resources networks. Two case studies are used to demonstrate this targeting method.

Suggested Citation

  • Al-Mayyahi, Mohmmad A. & Hoadley, Andrew F.A. & Rangaiah, G.P., 2013. "A novel graphical approach to target CO2 emissions for energy resource planning and utility system optimization," Applied Energy, Elsevier, vol. 104(C), pages 783-790.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:783-790
    DOI: 10.1016/j.apenergy.2012.11.077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912008872
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2012.11.077?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. Kabashi, Skender & Bekteshi, Sadik & Ahmetaj, Skender & Kabashi, Gazmend & Najdovski, Dimitrij & Zidansek, Aleksander & Slaus, Ivo, 2011. "Effects of Kosovo's energy use scenarios and associated gas emissions on its climate change and sustainable development," Applied Energy, Elsevier, vol. 88(2), pages 473-478, February.
    2. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    3. Lee, Sin Cherng & Sum Ng, Denny Kok & Yee Foo, Dominic Chwan & Tan, Raymond R., 2009. "Extended pinch targeting techniques for carbon-constrained energy sector planning," Applied Energy, Elsevier, vol. 86(1), pages 60-67, January.
    4. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    5. Tan, Raymond R. & Foo, Dominic C.Y., 2007. "Pinch analysis approach to carbon-constrained energy sector planning," Energy, Elsevier, vol. 32(8), pages 1422-1429.
    6. Atkins, Martin J. & Morrison, Andrew S. & Walmsley, Michael R.W., 2010. "Carbon Emissions Pinch Analysis (CEPA) for emissions reduction in the New Zealand electricity sector," Applied Energy, Elsevier, vol. 87(3), pages 982-987, March.
    7. Krajacic, Goran & Duic, Neven & Carvalho, Maria da Graça, 2011. "How to achieve a 100% RES electricity supply for Portugal?," Applied Energy, Elsevier, vol. 88(2), pages 508-517, February.
    8. Tan, Raymond R., 2011. "A general source-sink model with inoperability constraints for robust energy sector planning," Applied Energy, Elsevier, vol. 88(11), pages 3759-3764.
    9. Sims, Ralph E. H. & Rogner, Hans-Holger & Gregory, Ken, 2003. "Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy resources for electricity generation," Energy Policy, Elsevier, vol. 31(13), pages 1315-1326, October.
    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. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    2. Piechocki, Janusz & Ambroziak, Dominik & Palkowski, Aleksander & Redlarski, Grzegorz, 2014. "Use of Modified Cuckoo Search algorithm in the design process of integrated power systems for modern and energy self-sufficient farms," Applied Energy, Elsevier, vol. 114(C), pages 901-908.
    3. Zhang, B.J. & Liu, K. & Luo, X.L. & Chen, Q.L. & Li, W.K., 2015. "A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale," Applied Energy, Elsevier, vol. 143(C), pages 238-250.
    4. Bigazzi, Alexander, 2019. "Comparison of marginal and average emission factors for passenger transportation modes," Applied Energy, Elsevier, vol. 242(C), pages 1460-1466.
    5. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    6. Rees, M.T. & Wu, J. & Jenkins, N. & Abeysekera, M., 2014. "Carbon constrained design of energy infrastructure for new build schemes," Applied Energy, Elsevier, vol. 113(C), pages 1220-1234.
    7. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns," Applied Energy, Elsevier, vol. 136(C), pages 1110-1131.
    8. Dong, Cong & Huang, Guohe & Cai, Yanpeng & Cheng, Guanhui & Tan, Qian, 2016. "Bayesian interval robust optimization for sustainable energy system planning in Qiqihar City, China," Energy Economics, Elsevier, vol. 60(C), pages 357-376.
    9. Ji, L. & Niu, D.X. & Huang, G.H., 2014. "An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand," Energy, Elsevier, vol. 67(C), pages 186-199.
    10. de Lira Quaresma, Ana Carolina & Francisco, Flávio S. & Pessoa, Fernando L.P. & Queiroz, Eduardo M., 2018. "Carbon emission reduction in the Brazilian electricity sector using Carbon Sources Diagram," Energy, Elsevier, vol. 159(C), pages 134-150.
    11. Liew, Peng Yen & Wan Alwi, Sharifah Rafidah & Ho, Wai Shin & Abdul Manan, Zainuddin & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2018. "Multi-period energy targeting for Total Site and Locally Integrated Energy Sectors with cascade Pinch Analysis," Energy, Elsevier, vol. 155(C), pages 370-380.

    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. Jui-Yuan Lee & Han-Fu Lin, 2019. "Multi-Footprint Constrained Energy Sector Planning," Energies, MDPI, vol. 12(12), pages 1-18, June.
    2. Yu, Dongwei & Tan, Hongwei, 2016. "Application of ‘potential carbon’ in energy planning with carbon emission constraints," Applied Energy, Elsevier, vol. 169(C), pages 363-369.
    3. Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2014. "Targeting for carbon sequestration retrofit planning in the power generation sector for multi-period problems," Applied Energy, Elsevier, vol. 113(C), pages 477-487.
    4. Lopez, Neil Stephen A. & Foo, Dominic C.Y. & Tan, Raymond R., 2021. "Optimizing regional electricity trading with Carbon Emissions Pinch Analysis," Energy, Elsevier, vol. 237(C).
    5. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    6. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    7. Rok Gomilšek & Lidija Čuček & Marko Homšak & Raymond R. Tan & Zdravko Kravanja, 2020. "Carbon Emissions Constrained Energy Planning for Aluminum Products," Energies, MDPI, vol. 13(11), pages 1-18, June.
    8. Tan, Raymond R., 2011. "A general source-sink model with inoperability constraints for robust energy sector planning," Applied Energy, Elsevier, vol. 88(11), pages 3759-3764.
    9. Krishna Priya, G.S. & Bandyopadhyay, Santanu, 2017. "Multi-objective pinch analysis for power system planning," Applied Energy, Elsevier, vol. 202(C), pages 335-347.
    10. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    11. Nair, Purusothmn Nair S Bhasker & Tan, Raymond R. & Foo, Dominic C.Y., 2022. "Extended graphical approach for the implementation of energy-consuming negative emission technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    12. Liang, Sai & Zhang, Tianzhu, 2011. "Managing urban energy system: A case of Suzhou in China," Energy Policy, Elsevier, vol. 39(5), pages 2910-2918, May.
    13. Mohd Yahya, Nur Syahira & Ng, Lik Yin & Andiappan, Viknesh, 2021. "Optimisation and planning of biomass supply chain for new and existing power plants based on carbon reduction targets," Energy, Elsevier, vol. 237(C).
    14. de Lira Quaresma, Ana Carolina & Francisco, Flávio S. & Pessoa, Fernando L.P. & Queiroz, Eduardo M., 2018. "Carbon emission reduction in the Brazilian electricity sector using Carbon Sources Diagram," Energy, Elsevier, vol. 159(C), pages 134-150.
    15. Keivan Nemati-Amirkolaii & Hedi Romdhana & Marie-Laure Lameloise, 2019. "Pinch Methods for Efficient Use of Water in Food Industry: A Survey Review," Sustainability, MDPI, vol. 11(16), pages 1-26, August.
    16. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R., 2014. "Minimising carbon emissions and energy expended for electricity generation in New Zealand through to 2050," Applied Energy, Elsevier, vol. 135(C), pages 656-665.
    17. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    18. Li, Zhiwei & Jia, Xiaoping & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Minimizing carbon footprint using pinch analysis: The case of regional renewable electricity planning in China," Applied Energy, Elsevier, vol. 184(C), pages 1051-1062.
    19. Lin, Boqiang & Li, Zheng, 2020. "Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model," Energy Policy, Elsevier, vol. 137(C).
    20. Bentsen, Niclas Scott & Jack, Michael W. & Felby, Claus & Thorsen, Bo Jellesmark, 2014. "Allocation of biomass resources for minimising energy system greenhouse gas emissions," Energy, Elsevier, vol. 69(C), pages 506-515.

    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:104:y:2013:i:c:p:783-790. 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.