Effects of carbon and environmental tax on power mix planning - A case study of Hebei Province, China
Creators
- 1. Environmental Research Academy, North China Electric Power University, Beijing, 102206 (China)
- 2. Department of Civil and Resource Engineering, Dalhousie University, 1360 Barrington St., Bldg.D, Rm.D215, PO BOX 15000, Halifax, NS, B3H 4R2 (Canada)
- 3. Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Sask., S4S 0A2 (Canada)
- 4. MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206 (China)
- 5. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083 (China)
Description
Highlights: • A deterministic model is developed for optimization of power mix. • In-depth analysis of the effects of new environmental and carbon tax. • Power mix adjustment, CO2/air pollutant emissions reduction can be achieved. The growing energy crisis and severe atmospheric pollution have put much pressure on the Chinese government and resulted in a lot of revolutionary changes. Considering the upcoming new environmental and carbon tax, how would the tax reform affect the power sector; which types and how much of the different power generation technologies would be added are important questions that need to be answered by decision makers. In this study, a deterministic optimization model is proposed for determining the optimal power mix through the introduction of environmental and carbon taxes. A case study of Hebei Province in China is provided to illustrate the effects of these two taxes. The capacity additions of different generation technologies, air pollutants and CO2 emission amounts, system costs, and regional power security under different tax levels are profoundly examined. The modeling results indicate that such tax policies could significantly improve to the power mix adjustment as well as the quality of the ambient air quality. Higher tax levels would promote the development of renewable power generation. Meanwhile, different degrees of CO2 and air pollutant emission reduction can be achieved. The modeling results could help the decision makers identify the satisfactory tax levels in the future.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2017.11.025Additional details
Identifiers
- DOI
- 10.1016/j.energy.2017.11.025;
- PII
- S0360544217318753;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 143
- Journal Page Range
- p. 645-657
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53001318
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AIR POLLUTION ABATEMENT; AIR QUALITY; CARBON; CARBON DIOXIDE; CHINA; DETERMINISTIC ESTIMATION; EMISSIONS TAX; ENVIRONMENTAL POLICY; OPTIMIZATION; PLANNING; POLLUTANTS; POWER GENERATION; RENEWABLE ENERGY SOURCES
- Descriptors DEC
- ASIA; CALCULATION METHODS; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; ELEMENTS; ENERGY SOURCES; ENVIRONMENTAL QUALITY; GOVERNMENT POLICIES; NONMETALS; OXIDES; OXYGEN COMPOUNDS; POLLUTION ABATEMENT; TAXES
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Ltd. All rights reserved.