Research On Carbon Capture And Sequestration Network Planning Model And Solution Algorithm

As human consumption of fossil fuels, more and more attention is associated with carbon emissions. Global warming which is caused by carbon emissions is a serious problem. In order to reduce greenhouse gas emissions and develop low-carbon economy, it is necessary not only to develop carbon emission reduction technology, but also need to rely on carbon capture and sequestration technologies. Carbon sequestration network has great scale. If it entered into the implementation stage, it will become strategically important as a national issue. Therefore, considering the optimization of carbon sequestration network involved with huge economic benefits, it is worthy to study and discuss such long-term human development issues,.Based on preliminary studies of others, this paper focuses on carbon sequestration and the future planning of the network. In addition to that, this paper also concerns about overall carbon sequestration network evaluation and optimization of all aspects of the problem under uncertainty. And it tries to provide the economic viability of ideas and information about establishing carbon storage network in some geographical area.According to the practical application of carbon sequestration technology and relevant technical requirements, this paper uses mathematical models to describe carbon sequestration network optimization problems, and uses simulated annealing algorithm and the minimum spanning tree algorithm to solve them. Simulated annealing algorithm is an effective heuristic algorithm for NP-complete problem. This paper uses the algorithm to make discrete location decisions for the potential CO2 sink points, combined with the minimum spanning tree algorithm to determine the optimal network layout; and compare the results from the algorithms with that from commercial operations research software CPLEX. It shows that the algorithm is able to solve smaller carbon sequestration network optimization problems, in a relatively short computing time.As there are many uncertainties in the future, this paper introduces the method of scenario planning to conduct a comprehensive analysis of the carbon sequestration network. This paper proposes a variety of possible future results based on multiple scenarios decided by some key factors, such as crude oil prices, carbon emissions trading price or future demand for electricity. The greatest advantage of scenario analysis is the ability to show the future development of different management scenarios, and keep an eye on the factors affecting the results. Based on the previous research this paper presented a comprehensive mathematical programming model which can describe the installation of equipment from storage, pipeline construction, carbon dioxide capture, transport and seal, and used the professional software AIMMS to sovle it and evaluated the results.