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A generic algebraic targeting approach for integration of renewable energy sources, CO2 capture and storage and negative emission technologies in carbon-constrained energy planning

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  • Nair, Purusothmn Nair S. Bhasker
  • Tan, Raymond R.
  • Foo, Dominic C.Y.

Abstract

Renewable energy sources, CO2capture and storage (CCS) and negative emission technologies (NETs) are important elements to incorporate during energy planning to achieve climate change targets by the end of this century. This paper develops a generic algebraic targeting approach based on carbon emissions pinch analysis (CEPA), for the integration of renewable energy sources, CCS and NETs during CO2-constrained energy planning. Since the recently established graphical targeting approach is both time-consuming and cumbersome, the algebraic targeting approach developed in this work eliminates the iterative procedure and provides rigorous targets that overcome the limitations of the previous approach. The algebraic targeting approach is demonstrated with a literature case study. Results show that the integration of energy-producing NETs (EP-NETs) reduces energy generation from fossil-based sectors, which leads to CO2 removal. By contrast, despite the removal of CO2 load, the integration of energy-consuming NETs (EC-NETs) demanded further utilisation of renewable energy sources as compensatory energy. Finally, CCS deployment aided in CO2 load removal, thus reducing the necessary integration of NETs during energy planning.

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  • 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).
    • Handle: RePEc:eee:energy:v:235:y:2021:i:c:s0360544221015280
    DOI: 10.1016/j.energy.2021.121280
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    References listed on IDEAS

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    Cited by:

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    2. Chen, S. & Shi, W.K. & Yong, J.Y. & Zhuang, Y. & Lin, Q.Y. & Gao, N. & Zhang, X.J. & Jiang, L., 2023. "Numerical study on a structured packed adsorption bed for indoor direct air capture," Energy, Elsevier, vol. 282(C).
    3. Zhang, Chen & Zhang, Xinqi & Su, Tingyu & Zhang, Yiheng & Wang, Liwei & Zhu, Xuancan, 2023. "Modification schemes of efficient sorbents for trace CO2 capture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    4. Gezen, Mesliha & Karaaslan, Abdulkerim, 2022. "Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives," Energy, Elsevier, vol. 261(PA).
    5. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Patange, Omkar S. & Garg, Amit & Jayaswal, Sachin, 2022. "An integrated bottom-up optimization to investigate the role of BECCS in transitioning towards a net-zero energy system: A case study from Gujarat, India," Energy, Elsevier, vol. 255(C).
    7. Fathy, Ahmed & Rezk, Hegazy & Yousri, Dalia & Kandil, Tarek & Abo-Khalil, Ahmed G., 2022. "Real-time bald eagle search approach for tracking the maximum generated power of wind energy conversion system," Energy, Elsevier, vol. 249(C).
    8. Jia, Xiaoping & Xu, Tianshu & Zhang, Yanmei & Li, Zhiwei & Tan, Raymond R. & Aviso, Kathleen B. & Wang, Fang, 2023. "An improved multi-period algebraic targeting approach to low carbon energy planning," Energy, Elsevier, vol. 268(C).

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