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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.
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