PyPSA-VN: An open model of the Vietnamese electricity system
| Autor: | Lueder von Bremen, Duong Minh Quan, Detlev Heinemann, Fabian Hofmann, Ma Phuoc Khanh, Bruno U. Schyska, Vo Van Phuong, Markus Schlott, Alexander Kies, Dinh Thanh Viet |
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| Rok vydání: | 2020 |
| Předmět: |
Sustainable development
business.industry Computer science 020209 energy Vietnamese 02 engineering and technology Environmental economics Python (programming language) 021001 nanoscience & nanotechnology language.human_language Renewable energy Data modeling Electric power system Development plan Work (electrical) 0202 electrical engineering electronic engineering information engineering language 0210 nano-technology business computer computer.programming_language |
| Zdroj: | 2020 5th International Conference on Green Technology and Sustainable Development (GTSD). |
| DOI: | 10.1109/gtsd50082.2020.9303096 |
| Popis: | Vietnam has tremendous potential for renewable energy. However, its renewable generation mix remains in its infancy, while demand grows rapidly year after year. In this work, we present an open dataset to model the Vietnamese electricity system implemented in Python for Power System Analysis (PyPSA) and use it to analyse a Vietnamese power development plan until 2030. We analyse two different meteorological datasets, the ERA5 and MERRA-2 reanalyses and use them to costoptimise a future Vietnamese power system under an official power development plan as boundary condition and compare the findings. We show that differences in the results are small for power systems mostly based on conventional thermal generation. |
| Databáze: | OpenAIRE |
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