A Multi-Objective Optimization Method for Carbon–REC Trading in an Integrated Energy System of High-Speed Railways
Source abstract
Abstract
The significant energy intensity of high-speed railway necessitates integrating renewable technologies to enhance grid resilience and decarbonize transport. This study establishes a coordinated carbon–green certificate market mechanism for railway power systems and develops a tri-source planning model (grid/solar/energy storage) that comprehensively considers the full lifecycle carbon emissions of these assets while minimizing lifecycle costs and CO2 emissions. The proposed EDMOA algorithm optimizes storage configurations across multiple operational climatic regimes. Benchmark analysis demonstrates superior economic–environmental synergy, achieving a 23.90% cost reduction (USD 923,152 annual savings) and 24.02% lower emissions (693,452.5 kg CO2 reduction) versus conventional systems. These results validate the synergistic integration of hybrid power systems with the carbon–green certificate market mechanism as a quantifiable pathway towards decarbonization in rail infrastructure.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Railway Systems and Energy Efficiency · Maritime Transport Emissions and Efficiency · Vehicle emissions and performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 201306, China
Department of Electrical Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City 320, Taiwan
Funding
Soft Science Research Project of the Shanghai Science and Technology Innovation Action Plan
References (51)
Show source-provided references
1. Recent research progress and application of energy storage system in electrified railway10.1016/j.epsr.2023.109893 ↗
2. AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems10.1016/j.inffus.2024.102836 ↗
3. Ministry of Transport of China (2022). The 14th Five-Year Plan for Green Transportation Development, Technical Report.
4. Electric Railway smart microgrid system with integration of multiple energy system and power-quality improvement10.1016/j.epsr.2021.107459 ↗
5. Fan, H., Cui, X., Lin, Y., and Jin, T. (2023, January 12–14). Research on Multi-port Large Capacity Energy Router Technologies for Urban Rail Transit. Proceedings of the 2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE 2023), Guangzhou, China.10.1109/CEEPE58418.2023.10165931 ↗
6. Yang, H., Xie, L., Guo, C., Qin, Y., and Liang, G. (2022, January 25–29). Influence of New Energy Access to Power System on Current Transformer Aging. Proceedings of the 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE 2022), Chongqing, China.10.1109/ICHVE53725.2022.9961608 ↗
7. Muhammad, T., Huawei, L., Abdul, Q., and Arif, H. (2022, January 14–17). Design of Hybrid Energy System of CRH2 Train Passing Through Neutral Section. Proceedings of the 2022 IEEE 4th Global Power, Energy and Communication Conference (GPECOM 2022), Nevsehir, Turkey.10.1109/GPECOM55404.2022.9815826 ↗
8. Optimal PV-storage capacity planning for rail transit self-consistent energy system considering extreme weather conditions10.1049/rpg2.12962 ↗
9. Life cycle assessment for producing monocrystalline photovoltaic panels: A case study of Brazil
10. Life Cycle Assessment of Large-Scale Solar Photovoltaic Plant based in Malaysia10.1088/1755-1315/1372/1/012055 ↗
11. Life cycle assessment of photovoltaic module backsheets10.1002/pip.3755 ↗
12. Life Cycle Assessment of Solar Photovoltaic in India: A Circular Economy Approach10.1007/s43615-021-00101-5 ↗
13. Unveiling lifecycle carbon emissions and its mitigation potentials of distributed photovoltaic power through two typical case systems10.1016/j.solener.2024.112360 ↗
14. Study on Carbon Emissions Throughout the Entire Lifecycle of Photovoltaic Power Station Projects
15. Environmental life cycle assessment of emerging solid-state batteries: A review10.1016/j.ceja.2022.100439 ↗
16. Life cycle assessment (LCA) for flow batteries: A review of methodological decisions
17. Prospective Life Cycle Assessment of Lithium–Sulfur Batteries for Stationary Energy Storage10.1021/acssuschemeng.4c01782 ↗
18. Life cycle assessment of battery electric buses10.1016/j.trd.2022.103498 ↗
19. Indicative energy technology assessment of advanced rechargeable batteries10.1016/j.apenergy.2014.10.037 ↗
20. Life-cycle assessment of batteries for peak demand reduction10.1016/j.jnlest.2023.100226 ↗
21. Best practices for life cycle assessment of batteries10.1038/s41893-023-01067-y ↗
22. Carbon trading and regional carbon productivity10.1016/j.jclepro.2023.138395 ↗
23. Carbon emission trading scheme and carbon performance: The role of carbon management system10.1016/j.bar.2024.101492 ↗
24. Inventory placement with carbon cap-and-trade in guaranteed service supply chains10.1016/j.tre.2024.103813 ↗
25. Research on the impact of carbon trading on enterprises’ green technology innovation10.1016/j.enpol.2024.114436 ↗
26. Impacts of renewable electricity standard and Renewable Energy Certificates on renewable energy investments and carbon emissions10.1016/j.jenvman.2022.114495 ↗
27. Renewable energy certificates allow companies to overstate their emission reductions10.1038/s41558-022-01385-7 ↗
28. Pricing renewable energy certificates with a Crank–Nicolson Lagrange–Galerkin numerical method10.1016/j.cam.2022.114891 ↗
29. Model and numerical methods for pricing renewable energy certificate derivatives10.1016/j.cnsns.2022.107066 ↗
30. Deferring real options with solar renewable energy certificates10.1016/j.gfj.2022.100795 ↗
31. Grid parity analysis of photovoltaic systems considering feed-in tariff and renewable energy certificate schemes in Hong Kong10.1016/j.rser.2023.113326 ↗
32. Optimal scheduling model for virtual power plant combining carbon trading and green certificate trading10.1016/j.energy.2025.134750 ↗
33. Optimizing photovoltaic systems: A meta-optimization approach with GWO-Enhanced PSO algorithm for improving MPPT controllers10.1016/j.renene.2024.120892 ↗
34. Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and grasshopper optimization algorithm10.1016/j.renene.2024.120712 ↗
35. Designing an optimal hybrid microgrid system using a leader artificial rabbits optimization algorithm for domestic load in Guelmim city, Morocco10.1016/j.renene.2024.120011 ↗
36. Solcast (2019). Global Solar Irradiance Data and PV System Power Output Data, Solcast.
37. Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis10.1016/j.energy.2017.08.065 ↗
38. Jia, Z.B. (2020). Research on the Application of Photovoltaic Power Generation in Auxiliary Power Supply System of CRH2 Rolling Stock. [Master’s Thesis, Lanzhou Jiaotong University].
39. Research on the main top-level technical indexes of traction system for 400 km/h locomotives
40. A review on carbon emission accounting approaches for the electricity power industry10.1016/j.apenergy.2024.122681 ↗
41. (2024, September 01). International Energy Agency. Life Cycle Carbon Emissions of Photovoltaic Systems, 2024. Photovoltaic Life Cycle Carbon Emissions. Available online: https://www.iea.org/reports/solar-pv-global-supply-chains.
42. National Renewable Energy Laboratory (2024, September 01). Life Cycle Assessment of Lithium Iron Phosphate Batteries, Available online: https://www.nrel.gov/analysis/life-cycle-assessment.html.
43. (2024, September 01). Shanghai Environment and Energy Exchange. China Carbon Emission Allowance (CEA) Trading Data, 2023. Average CEA Spot Price: 95 CNY/ton (Date: December 2023). Available online: https://www.cneeex.com/.
44. (2024, September 01). China Green Certificate Trading Platform. Renewable Energy Certificate (REC) Trading Data, 2024. Average REC Spot Price: 130 CNY/MWh (Date: October 2024). Available online: https://www.greenenergy.org.cn/.
45. Dwarf Mongoose Optimization Algorithm10.1016/j.cma.2022.114570 ↗
46. Improved GWO algorithm for optimal design of truss structures10.1007/s00366-017-0567-1 ↗
47. The Whale Optimization Algorithm10.1016/j.advengsoft.2016.01.008 ↗
48. Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm10.1109/ACCESS.2022.3151641 ↗
49. A new bio-inspired optimisation algorithm: Bird Swarm Algorithm10.1080/0952813X.2015.1042530 ↗
50. Golden jackal optimization: A novel nature-inspired optimizer for engineering applications10.1016/j.eswa.2022.116924 ↗
51. Sand Cat swarm optimization: A nature-inspired algorithm to solve global optimization problems10.1007/s00366-022-01604-x ↗