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A dynamic programming model for environmental investment decision-making in coal mining

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  • Yu, Shiwei
  • Gao, Siwei
  • sun, Han

Abstract

Coal is the widespread fossil fuel on earth. It provides the necessary material foundation for economic development of a country. However, coal mining activities cause a lot of environmental impacts that are hazardous to the health of citizens in mining regions and place costs on the government. According to government laws and regulations, coal mines should invest in related pollution treatment projects to meet the emission standards. How to allocate the limited resources among a set of pollutant treatment projects to minimize the total losses, including penal loss and vacancy loss, from an investment perspective is a typical decision-making problem. Therefore, the present study proposed a discrete dynamic programming procedure to provide an effective solution for decision-making in treatment project investment. Furthermore, a case study involving the Laojuntang coal mine of Zhengzhou Coal Industry (Group) of China on the treatment project investment problem was implemented using the proposed model. The results demonstrate that the proposed model is effective and applicable for environmental investment decision-making at a typical coal mine in terms of minimizing the total losses.

Suggested Citation

  • Yu, Shiwei & Gao, Siwei & sun, Han, 2016. "A dynamic programming model for environmental investment decision-making in coal mining," Applied Energy, Elsevier, vol. 166(C), pages 273-281.
    • Handle: RePEc:eee:appene:v:166:y:2016:i:c:p:273-281
    DOI: 10.1016/j.apenergy.2015.09.099
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    1. Jurate Jaraite & Andrius Kazukauskas & Tommy Lundgren, 2014. "The effects of climate policy on environmental expenditure and investment: evidence from Sweden," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(2), pages 148-166, July.
    2. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.
    3. Lin, Tyrone T. & Ko, Chuan-Chuan & Yeh, Hsin-Ni, 2007. "Applying real options in investment decisions relating to environmental pollution," Energy Policy, Elsevier, vol. 35(4), pages 2426-2432, April.
    4. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    5. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    6. Julia Tsai & Victoria Chen & M. Beck & Jining Chen, 2004. "Stochastic Dynamic Programming Formulation for a Wastewater Treatment Decision-Making Framework," Annals of Operations Research, Springer, vol. 132(1), pages 207-221, November.
    7. Martinelli, Gabriele & Eidsvik, Jo & Hauge, Ragnar, 2013. "Dynamic decision making for graphical models applied to oil exploration," European Journal of Operational Research, Elsevier, vol. 230(3), pages 688-702.
    8. Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.
    9. Škugor, Branimir & Deur, Joško, 2015. "Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model," Energy, Elsevier, vol. 92(P3), pages 456-465.
    10. Li, Guang & Weiss, George & Mueller, Markus & Townley, Stuart & Belmont, Mike R., 2012. "Wave energy converter control by wave prediction and dynamic programming," Renewable Energy, Elsevier, vol. 48(C), pages 392-403.
    11. Marano, Vincenzo & Rizzo, Gianfranco & Tiano, Francesco Antonio, 2012. "Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage," Applied Energy, Elsevier, vol. 97(C), pages 849-859.
    12. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    13. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
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    2. Izabela Jonek-Kowalska & Marian Turek, 2017. "Dependence of Total Production Costs on Production and Infrastructure Parameters in the Polish Hard Coal Mining Industry," Energies, MDPI, vol. 10(10), pages 1-22, September.
    3. Linfeng Li & Miyuan Shan & Ying Li & Sheng Liang, 2017. "A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    4. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    5. Amiri, Leyla & Ghoreishi-Madiseh, Seyed Ali & Sasmito, Agus P. & Hassani, Ferri P., 2018. "Effect of buoyancy-driven natural convection in a rock-pit mine air preconditioning system acting as a large-scale thermal energy storage mass," Applied Energy, Elsevier, vol. 221(C), pages 268-279.
    6. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren & William L. Weber, 2018. "Time substitution for environmental performance: The case of Swedish manufacturing," Empirical Economics, Springer, vol. 54(1), pages 129-152, February.
    7. Xin Nie & Jianxian Wu & Han Wang & Lihua Li & Chengdao Huang & Weijuan Li & Zhuxia Wei, 2022. "Booster or Stumbling Block? The Role of Environmental Regulation in the Coupling Path of Regional Innovation under the Porter Hypothesis," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    8. Fulei Shi & Haiqing Cao & Chuansheng Wang & Cuiyou Yao, 2020. "A System Dynamics Model for Ecological Environmental Management in Coal Mining Areas in China," IJERPH, MDPI, vol. 17(6), pages 1-17, March.

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