IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v169y2016icp363-369.html
   My bibliography  Save this article

Application of ‘potential carbon’ in energy planning with carbon emission constraints

Author

Listed:
  • Yu, Dongwei
  • Tan, Hongwei

Abstract

This paper puts forward a concept of ‘potential carbon’ and gives a definition analogous to potential energy. Potential carbon explains: (1) what is the driving force of the difference of carbon emissions, and (2) what is the position in the force field. On the basis, an approach about potential carbon analysis is developed to investigate a physical mechanism of carbon-related balance between energy supply and demand. Especially, a derived evaluation parameter of critical carbon level (CCL), which depends on availability of local energy sources and energy use profile, can reflect a geographical feature of a zone or zones in carbon-related balance. The proposed methodology is applied in a case of Haidian North region, Beijing. The result shows that potential carbon analysis is able to assist in making decisions on energy source planning to meet energy demand within carbon emission constraints.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:169:y:2016:i:c:p:363-369
    DOI: 10.1016/j.apenergy.2016.01.127
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916301155
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.01.127?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. Van Hoesen, John & Letendre, Steven, 2010. "Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning," Renewable Energy, Elsevier, vol. 35(9), pages 2114-2122.
    2. Lam, Hon Loong & Varbanov, Petar Sabev & Klemes, Jirí Jaromír, 2011. "Regional renewable energy and resource planning," Applied Energy, Elsevier, vol. 88(2), pages 545-550, February.
    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. Ondreka, Joris & Rüsgen, Maike Inga & Stober, Ingrid & Czurda, Kurt, 2007. "GIS-supported mapping of shallow geothermal potential of representative areas in south-western Germany—Possibilities and limitations," Renewable Energy, Elsevier, vol. 32(13), pages 2186-2200.
    5. Crawford, Jenny & French, Will, 2008. "A low-carbon future: Spatial planning's role in enhancing technological innovation in the built environment," Energy Policy, Elsevier, vol. 36(12), pages 4575-4579, December.
    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. 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.
    8. Perry, Simon & Klemeš, Jiří & Bulatov, Igor, 2008. "Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors," Energy, Elsevier, vol. 33(10), pages 1489-1497.
    9. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    10. Haralambopoulos, D.A. & Polatidis, H., 2003. "Renewable energy projects: structuring a multi-criteria group decision-making framework," Renewable Energy, Elsevier, vol. 28(6), pages 961-973.
    11. Foo, Dominic C.Y. & Tan, Raymond R. & Ng, Denny K.S., 2008. "Carbon and footprint-constrained energy planning using cascade analysis technique," Energy, Elsevier, vol. 33(10), pages 1480-1488.
    12. Huang, J.P. & Poh, K.L. & Ang, B.W., 1995. "Decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 20(9), pages 843-855.
    13. Stadler, M. & Groissböck, M. & Cardoso, G. & Marnay, C., 2014. "Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel," Applied Energy, Elsevier, vol. 132(C), pages 557-567.
    14. 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.
    15. Andersen, F.M. & Larsen, H.V. & Gaardestrup, R.B., 2013. "Long term forecasting of hourly electricity consumption in local areas in Denmark," Applied Energy, Elsevier, vol. 110(C), pages 147-162.
    16. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    17. Crilly, Damien & Zhelev, Toshko, 2008. "Emissions targeting and planning: An application of CO2 emissions pinch analysis (CEPA) to the Irish electricity generation sector," Energy, Elsevier, vol. 33(10), pages 1498-1507.
    18. Li, Xiwang & Wen, Jin & Bai, Er-Wei, 2016. "Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification," Applied Energy, Elsevier, vol. 164(C), pages 69-88.
    19. Karni, Reuven & Feigin, Paul & Breiner, Avishai, 1992. "Multicriterion issues in energy policymaking," European Journal of Operational Research, Elsevier, vol. 56(1), pages 30-40, January.
    20. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    21. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
    22. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    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. Sun, Yanlong & Kang, Chongqing & Xia, Qing & Chen, Qixin & Zhang, Ning & Cheng, Yaohua, 2017. "Analysis of transmission expansion planning considering consumption-based carbon emission accounting," Applied Energy, Elsevier, vol. 193(C), pages 232-242.
    2. 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.
    3. Chen, Shaoqing & Chen, Bin, 2017. "Coupling of carbon and energy flows in cities: A meta-analysis and nexus modelling," Applied Energy, Elsevier, vol. 194(C), pages 774-783.

    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. 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.
    2. Jui-Yuan Lee & Han-Fu Lin, 2019. "Multi-Footprint Constrained Energy Sector Planning," Energies, MDPI, vol. 12(12), pages 1-18, June.
    3. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
    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. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    6. 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.
    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. Krishna Priya, G.S. & Bandyopadhyay, Santanu, 2017. "Multi-objective pinch analysis for power system planning," Applied Energy, Elsevier, vol. 202(C), pages 335-347.
    9. 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.
    10. 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.
    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. 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.
    13. 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.
    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. 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.
    16. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    17. 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).
    18. Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Abdul-Manan, Zainuddin & Klemeš, Jiří Jaromír, 2012. "A process integration targeting method for hybrid power systems," Energy, Elsevier, vol. 44(1), pages 6-10.
    19. Nair, Purusothmn Nair S. Bhasker & Tan, Raymond R. & Foo, Dominic C.Y., 2021. "A generic algebraic targeting approach for integration of renewable energy sources, CO2 capture and storage and negative emission technologies in carbon-constrained energy planning," Energy, Elsevier, vol. 235(C).
    20. 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.

    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:169:y:2016:i:c:p:363-369. 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.