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Extended Carbon Emission Pinch Analysis for the Low-Carbon Tobacco Industry

Author

Listed:
  • Yang Zhang

    (China Tobacco Sichuan Industrial Co., Chengdu 610041, China)

  • Hekun Wang

    (China Tobacco Sichuan Industrial Co., Chengdu 610041, China)

  • Taomeizi Zhou

    (Environment Research Institute, Shandong University, Qingdao 266237, China)

  • Zhiwei Li

    (School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China)

  • Xiaoping Jia

    (School of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China)

Abstract

The tobacco industry is an important contributor to realizing the carbon reduction goal. Less attention is paid to the carbon emissions of the tobacco industry. The tobacco production system is generally a carbon sink, where carbon sequestration by photosynthesis in tobacco planting and by soil are sufficient to offset the carbon emissions of the tobacco production system. This work proposed an integrated framework of life-cycle assessment (LCA) and Source-Sink Model to determine the optimal allocation of carbon sources to sinks with the objective of maximizing the profitable external benefits. From an economic perspective, internal carbon sources could be offset by the internal carbon sink of the tobacco production system. The additional internal carbon sinks can be transferred in the form of carbon trading, increasing external revenue. A case-study tobacco manufacturing plant in Sichuan, China, was chosen to demonstrate the feasibility of the proposed work. This study assesses the carbon footprint and economic benefits of a tobacco industry supply chain case (from tobacco cultivation to finished product) and analyzes the energy restructuring of different percentages of renewable energy to replace thermal power. The objective of the study is to maximise the offsetting of carbon emissions from the tobacco production system, while achieving optimal internal costs and profitable external benefits.

Suggested Citation

  • Yang Zhang & Hekun Wang & Taomeizi Zhou & Zhiwei Li & Xiaoping Jia, 2022. "Extended Carbon Emission Pinch Analysis for the Low-Carbon Tobacco Industry," Energies, MDPI, vol. 15(13), pages 1-14, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4611-:d:846431
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    References listed on IDEAS

    as
    1. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    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. 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. 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.
    5. Ke, Jing & Price, Lynn & Ohshita, Stephanie & Fridley, David & Khanna, Nina Zheng & Zhou, Nan & Levine, Mark, 2012. "China's industrial energy consumption trends and impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects," Energy Policy, Elsevier, vol. 50(C), pages 562-569.
    6. Tan, Raymond R. & Foo, Dominic Chwan Yee & Aviso, Kathleen B. & Ng, Denny Kok Sum, 2009. "The use of graphical pinch analysis for visualizing water footprint constraints in biofuel production," Applied Energy, Elsevier, vol. 86(5), pages 605-609, May.
    7. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    8. 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.
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