Power Generation Expansion Planning Model Towards Low-Carbon Economy and Its Application in China
By Qixin Chen, Chongqing Kang, Qing Xia, Jin Zhong. IEEE Transactions on Power Systems, 2010
206 citations recorded by the source corpus.
Climate change poses a huge threat to human welfare. Hence, developing a low-carbon economy has become a prevailing and inevitable trend. Decarbonization of power generation, especially converting the current power mix into a low-carbon structure, will be a critical option for CO2 emission mitigation. In this paper, an integrated power generation expansion (PGE) planning model towards low-carbon economy is proposed, which properly integrates and formulates the impacts of various low-carbon factors on PGE models. In order to adapt to the characteristics of PGE models based on low-carbon scenario, a compromised modeling approach is presented, which reasonably decreases complexities of the model, while properly keeping the significant elements and maintaining moderate precision degree. In order to illustrate the proposed model and approach, a numerical case is studied based on the background of China's power sector, making decisions on the optimal PGE plans and revealing the prospects and potentials for CO2 emission reduction.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/afd24e9336e57e5ae2359c61451ca3c10d6a2df2
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Citations in the corpus
- Carbon-Oriented Operational Planning in Coupled Electricity and Emission Trading Markets (2020, background): “In [5], financial cost and revenue from emission trading in the carbon trading market is considered in power system expansion planning.”
- Generation expansion planning optimisation with renewable energy integration: A review (2017, methodology): “Both [17] and [18] considered only thermal power plants and limited scenarios in their analysis.”
- A spatial multi-period long-term energy planning model: A case study of the Greek power system (2014, background): “The macro-approach, which is usually based on linear equilibrium, simplifying and reducing the complexities of the model [5,7].”
- High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures (2012, background): “…(Kagiannas et al., 2004; DeCarolis and Keith, 2006; U.S. Energy Information Administration, 2009; National Renewable Energy Laboratory, 2010a; Chen et al., 2010) are used to inform long-term planning of generation, storage, and transmission projects, but these models have limited operational…”