Assessing Vietnam's CO2 Emission Roadmap to 2030 Based on the Revised Power Development Plan VIII Using the PyPSA Model

Authors

  • Luong Ngoc Giap Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
  • Nguyen Binh Khanh Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
  • Bui Tien Trung Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
  • Ngo Phuong Le Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
  • Truong Nguyen Tuong An Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
  • Tran The Vinh Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Vietnam
Volume: 15 | Issue: 6 | Pages: 28972-28976 | December 2025 | https://doi.org/10.48084/etasr.13618

Abstract

This study evaluated Vietnam's projected CO2 emissions in 2030 under three Renewable Energy (RE) penetration scenarios- low (Case 1), medium (Case 2), and high (Case 3)- using the Python for Power System Analysis (PyPSA) model, an open-source high-resolution electricity system optimization tool. The modeled CO₂ emissions were 198.84, 191.15, and 183.65 million tons for Case 1, Case 2, and Case 3, respectively. These results were consistent with the PDP8-Rev baseline range while showing that higher RE deployment can reduce emissions by up to 15.19 million tons (about 7.6%) compared to the low-RE scenario, thereby enhancing Vietnam’s alignment with its mid-term climate targets and approaching the conditional JETP pathway. The findings underlined the importance of accelerating RE investment, expanding energy storage, improving system flexibility, and strengthening regulatory mechanisms. Furthermore, this study demonstrated the value of transparent and reproducible modeling tools, such as PyPSA, in supporting evidence-based energy transition planning and policymaking.

Keywords:

CO2 emissions, renewable energy, PDP8-Rev, PyPSA, power system modeling

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How to Cite

[1]
L. N. Giap, N. B. Khanh, B. T. Trung, N. P. Le, T. N. T. An, and T. T. Vinh, “Assessing Vietnam’s CO2 Emission Roadmap to 2030 Based on the Revised Power Development Plan VIII Using the PyPSA Model”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 6, pp. 28972–28976, Dec. 2025.

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