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Green port project scheduling with comprehensive efficiency consideration

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Listed:
  • Wei Wang
  • Li Huang
  • Jian Gu
  • Liupeng Jiang

Abstract

Ports are an important driving force for world economic growth, but they consume considerable energy. The marine sector has proposed the development of green ports to achieve low-carbon sustainable development. This paper presents a green project scheduling model of port construction to optimize comprehensive economic and environmental efficiency. Various realistic constraints are considered, including investment scale, energy savings, emissions reduction, and project priority. Comprehensive efficiency involves cost reduction, energy savings, emissions reduction, and other efficiency goals. The problem is formulated as an integer program and is solved using CPLEX in a general algebraic modeling system (GAMS). We use a representative port in China as a case port in solving its green project scheduling. The results show that the port can save 6,527 tons of standard coal, reduce 40,875 tons of CO2, and save 49 million yuan per year in the five-year implementation period. The payback in investing in these green projects is less than six years. From an economic and environmental perspective, the comprehensive efficiency achieved is significant.

Suggested Citation

  • Wei Wang & Li Huang & Jian Gu & Liupeng Jiang, 2019. "Green port project scheduling with comprehensive efficiency consideration," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(8), pages 967-981, November.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:8:p:967-981
    DOI: 10.1080/03088839.2019.1652775
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    Cited by:

    1. Hanyu Lu & Lufei Huang, 2021. "Optimization of Shore Power Deployment in Green Ports Considering Government Subsidies," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    2. Liguo Zhang & Cuiting Jiang & Xiang Cai & Jun Wu, 2023. "Dynamic linkages between China’s OFDI, transport, and green economic growth: Empirical evidence from the B&R countries," Energy & Environment, , vol. 34(7), pages 2642-2667, November.
    3. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    4. Wang, Xueqin & Wong, Yiik Diew & Yuen, Kum Fai & Li, Kevin X., 2020. "Environmental governance of transportation infrastructure under Belt and Road Initiative: A unified framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 189-199.
    5. Li, Kevin X. & Li, Mengchi & Zhu, Yuhan & Yuen, Kum Fai & Tong, Hao & Zhou, Haoqing, 2023. "Smart port: A bibliometric review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    6. Seyed Behbood Issa Zadeh & José Santos López Gutiérrez & M. Dolores Esteban & Gonzalo Fernández-Sánchez & Claudia Lizette Garay-Rondero, 2023. "Scope of the Literature on Efforts to Reduce the Carbon Footprint of Seaports," Sustainability, MDPI, vol. 15(11), pages 1-24, May.
    7. Li Huang & Ting Cai & Ya Zhu & Yuliang Zhu & Wei Wang & Kehua Sun, 2020. "LSTM-Based Forecasting for Urban Construction Waste Generation," Sustainability, MDPI, vol. 12(20), pages 1-12, October.

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