An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China

2018 ◽  
Vol 231 ◽  
pp. 194-206 ◽  
Author(s):  
Shuai Zhang ◽  
Linlin Liu ◽  
Lei Zhang ◽  
Yu Zhuang ◽  
Jian Du
Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6153
Author(s):  
Xuezhen Guo ◽  
Juliën Voogt ◽  
Bert Annevelink ◽  
Joost Snels ◽  
Argyris Kanellopoulos

Bio-based supply chains are by nature complex to optimize. The new logistic concept of integrated biomass logistical center (IBLC) provides us the opportunity to make full use of the idle capacity for a food/feed plant to produce biobased products so that the entire chain efficiency can be improved. Although research has been conducted to analyze the IBLC concept, is yet to be an optimization model that can optimally arrange the activities in the supply chain where an IBLC stands in the middle. To fill the knowledge gap in the literature, this paper makes the first step to develop a MILP model that enables biobased supply chain optimization with the IBLC concept, which supports logistic and processing decisions in the chain. The model is applied in a case study for a feed and fodder plant in Spain where managerial insights have been derived for transferring the plant to a profitable IBLC.


Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 23 ◽  
Author(s):  
Jiaquan Li ◽  
Yunbing Hou ◽  
Pengtao Wang ◽  
Bo Yang

The research on carbon capture and storage (CCS) project planning and investment and operational decision-making can provide a reference for enterprises to invest in CCS and for policy-makers to formulate policies to promote CCS development. So what are the current research hotspots in this field and the gaps that still need to be further studied in the future? This paper reviews the research in the field by a bibliometric analysis. The results show that the research in this field first focus on cost analysis, followed by project investment evaluation, project planning (cost curve and pipeline network), and project operation. In particular, fossil fuel power plants, pipeline transportation, and oil fields are the most crucial objects in the three technical links of CCS projects, respectively. Policies, carbon pricing, and uncertainty in cost and benefits are factors that are mainly discussed in this field. The methods used for CCS project planning are cost curve model and optimization model. The real option approach is suitable for the evaluation of investment decision-making. The evaluation of operational decision is mostly based on optimization model. The future research directions can be summarized as five points: (1) continuously and systematically update the calculated costs in the current research to the unified price of the latest year; (2) calculate the cost curve from the perspective of emission sources; (3) expand the planning region of pipeline network to the country, continent, and even the entire world; (4) pay more attention to the investment assessment of the CCS project that may be implemented with low cost and high return; and (5) analyze the optimal operation mode of CCS in the low-load power system.


2012 ◽  
Vol 51 (30) ◽  
pp. 10015-10020 ◽  
Author(s):  
Raymond R. Tan ◽  
Kathleen B. Aviso ◽  
Santanu Bandyopadhyay ◽  
Denny K. S. Ng

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Hongrui Chu ◽  
Lun Ran ◽  
Ran Zhang

Carbon capture and storage (CCS) technology is an effective method to mitigate CO2 emission pressure; however it is hard to be evaluated due to uncertainties. This paper establishes a real options analysis (ROA) model to evaluate CCS investment from the perspective of the existing thermal power plant by considering the fluctuations of electricity price, carbon price, and thermal coal price. The model is solved by the proposed robust Least Squares Monte Carlo method and China is taken as a case study to assess power plant’s CCS investment revenue. In the case study, robust ROA and ROA are compared under some CCS incentive factors. The results indicate that the proposed robust ROA is more realistic and suitable for CCS evaluation than common ROA to some extent. Finally, a policy schema to promote CCS investment is derived.


2020 ◽  
Vol 139 ◽  
pp. 106885 ◽  
Author(s):  
Shuai Zhang ◽  
Yu Zhuang ◽  
Linlin Liu ◽  
Lei Zhang ◽  
Jian Du

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