Regional power system modeling for evaluating renewable energy development and CO2 emissions reduction in China
- Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084 (China)
Highlights: • We introduce a capacity expansion and operation model for China's power system. • Reference carbon emissions of China's power sector exceed 5.1 billion tons in 2050. • Flexible district heating marginally increases the integration of renewable energy. • Ultra-high voltage transmission does not improve the integration by itself. • A complete spot market as a policy change could be crucial for the integration. - Abstract: This study demonstrates how a regional power system modeling tool could be applied to evaluate renewable energy development and emissions reduction with technology change and market reform. We introduce a capacity expansion and operation model with provincial details for China's power system – the Renewable Electricity Planning and Operation (REPO) Model. We compare the spatial and temporal variation of renewable energy development under three alternative scenarios that depict three potentially important technology and reform directions – flexible district heating technology, ultra-high voltage transmission technology and complete spot market to the reference scenario. Under the reference scenario, the share of non-hydro renewable energy in China's power sector will reach 11.3% and carbon emissions of the power sector will increase to 5.1 billion metric tons in 2050. With assumptions made in the flexible district heating technology, ultra-high voltage transmission technology and complete spot market scenario, the share of non-hydro renewable energy in the power sector could increase to 14.3%, 11.5%, and 23.7%, and carbon emissions of power sector will change by −0.3, +0.0, and −1.0 billion metric tons in 2050, respectively. Similar analyses could be extended to other developing countries that plan to deregulate and decarbonize their power systems.
- OSTI ID:
- 22826062
- Journal Information:
- Environmental Impact Assessment Review, Vol. 73; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0195-9255
- Country of Publication:
- United States
- Language:
- English
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