IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v183y2016icp1333-1345.html
   My bibliography  Save this item

A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
  2. Guangxiao Hu & Xiaoming Ma & Junping Ji, 2017. "A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China," Sustainability, MDPI, vol. 9(11), pages 1-12, October.
  3. Chandra Ade Irawan & Peter S. Hofman & Hing Kai Chan & Antony Paulraj, 2022. "A stochastic programming model for an energy planning problem: formulation, solution method and application," Annals of Operations Research, Springer, vol. 311(2), pages 695-730, April.
  4. Fitiwi, Desta & Lynch, Muireann Á. & Bertsch, Valentin, 2019. "Optimal development of electricity generation mix considering fossil fuel phase-out and strategic multi-area interconnection," Papers WP616, Economic and Social Research Institute (ESRI).
  5. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
  6. Zhang, Shuang & Zhao, Tao & Xie, Bai-Chen, 2018. "What is the optimal power generation mix of China? An empirical analysis using portfolio theory," Applied Energy, Elsevier, vol. 229(C), pages 522-536.
  7. Chen, Hao & Gao, Xin-Ya & Liu, Jian-Yu & Zhang, Qian & Yu, Shiwei & Kang, Jia-Ning & Yan, Rui & Wei, Yi-Ming, 2020. "The grid parity analysis of onshore wind power in China: A system cost perspective," Renewable Energy, Elsevier, vol. 148(C), pages 22-30.
  8. Hao Chen & Chi Kong Chyong & Jia-Ning Kang & Yi-Ming Wei, 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Working Papers EPRG 1819, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  9. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
  10. Chen, Siyuan & Liu, Pei & Li, Zheng, 2019. "Multi-regional power generation expansion planning with air pollutants emission constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 382-394.
  11. Yang, Xueqin & Li, Hailong & Wallin, Fredrik & Yu, Zhixin & Wang, Zhen, 2017. "Impacts of emission reduction and external cost on natural gas distribution," Applied Energy, Elsevier, vol. 207(C), pages 553-561.
  12. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
  13. Chen, Hao & Cui, Jian & Song, Feng & Jiang, Zhigao, 2022. "Evaluating the impacts of reforming and integrating China's electricity sector," Energy Economics, Elsevier, vol. 108(C).
  14. 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.
  15. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  16. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
  17. Erdong Zhao & Jianmin Chen & Junmei Lan & Liwei Liu, 2024. "Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights," Energies, MDPI, vol. 17(3), pages 1-24, January.
  18. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
  19. Peng Wang & Chunsheng Wang & Yukun Hu & Liz Varga & Wei Wang, 2018. "Power Generation Expansion Optimization Model Considering Multi-Scenario Electricity Demand Constraints: A Case Study of Zhejiang Province, China," Energies, MDPI, vol. 11(6), pages 1-15, June.
  20. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
  21. Afful-Dadzie, Anthony & Afful-Dadzie, Eric & Awudu, Iddrisu & Banuro, Joseph Kwaku, 2017. "Power generation capacity planning under budget constraint in developing countries," Applied Energy, Elsevier, vol. 188(C), pages 71-82.
  22. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
  23. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
  24. Song Xu & Yiu Hin Martin Lu & Meiheriayi Mutailipu & Kanti Yan & Yaoli Zhang & Staffan Qvist, 2022. "Repowering Coal Power in China by Nuclear Energy—Implementation Strategy and Potential," Energies, MDPI, vol. 15(3), pages 1-27, January.
  25. Yang Liu & Congrui Zhang & Yingying Huang & Zhixiong Xiao & Yaxuan Han & Gaofeng Ren, 2021. "Climate Impact of China’s Promotion of the Filling Mining Method: Bottom-Up Estimation of Greenhouse Gas Emissions in Underground Metal Mines," Energies, MDPI, vol. 14(11), pages 1-17, June.
  26. Trotter, Philipp A. & Cooper, Nathanial J. & Wilson, Peter R., 2019. "A multi-criteria, long-term energy planning optimisation model with integrated on-grid and off-grid electrification – The case of Uganda," Applied Energy, Elsevier, vol. 243(C), pages 288-312.
  27. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
  28. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
  29. Wang, Yongpei & Yan, Weilong & Komonpipat, Supak, 2019. "How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces," Energy Policy, Elsevier, vol. 132(C), pages 440-451.
  30. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.
  31. Carlos Roberto de Sousa Costa & Paula Ferreira, 2023. "A Review on the Internalization of Externalities in Electricity Generation Expansion Planning," Energies, MDPI, vol. 16(4), pages 1-19, February.
  32. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.