Capacity Optimization of a Wind-Solar Integrated Oxygen Production and Pure Oxygen Combustion Carbon Reduction System Using Typical Wind-Solar-Load Scenario Generation
Year: 2024
Type: preprint
Abstract: In response to the growing need for carbon reduction and enhanced integration of renewable energy into the power grid, this paper introduces a capacity optimization approach for a wind-solar integrated system that combines oxygen production with pure oxygen combustion to achieve carbon reduction. The method incorporates the generation of typical wind-solar-load scenarios to account for variability and interdependencies across multiple energy sources and demand loads. A Dirichlet Process Mixture Model with Markov Chain Monte Carlo (DPMM-MCMC) is employed to generate representative daily scenarios, capturing the uncertainties and correlations among energy sources and loads. Based on these scenarios, a capacity optimization model is formulated for the wind-solar integrated system. Simulations and comparative analyses, using annual data from a region in Northwest China, demonstrate the effectiveness of the proposed method. The results highlight the significant impact of pure oxygen combustion technology, which not only increases carbon capture efficiency but also reduces capture costs by approximately 27.8%. Additionally, the optimal wind power share is identified within 60% to 80%, with load penetration further enhancing energy utilization efficiency. These findings underscore the potential of the proposed system to improve renewable energy absorption and reduce carbon emissions.
Source: Research Square
Authors: Ying Ding, Weiqing Wang, Ming Ding, Dianlei Han, Lixiang Sun, Jixun Liu
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4403372068