CO2 Transport: A new application of the assignment problem

Turk, Gregory A.; Cobb, Thomas B.; Jankowski, D.J.; Wolsky, A.M.; Sparrow, F.T.

doi:10.1016/0360-5442(87)90116-2

Cited by 31 publications

(13 citation statements)

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“…7, No. 4) optimize the selection of power plants, pipelines, and oil fields under the conditions of fixed production and utilization rates and restricted carrying capacity is an interesting operations research problem that has been addressed elsewhere [24].…”

Section: Limitations On Co2 Transportmentioning

confidence: 99%

The effect of acid rain legislation on the economics of CO₂recovery from power plants

et al. 1988

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Section: Limitations On Co2 Transportmentioning

confidence: 99%

The effect of acid rain legislation on the economics of CO₂recovery from power plants

et al. 1988

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“…Hence, CO2 supply should be allocated to different reservoirs to achieve optimum results in terms of increasing revenues from existing reservoirs. Optimization models have been proposed for such problems [1]. Various models have also been developed for CCS sourcesink matching for sequestration purposes [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

CO2 Allocation for Scheduling Enhanced Oil Recovery (EOR) Operations with Geological Sequestration Using Discrete-time Optimization

et al. 2014

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Carbon capture and storage (CCS) can be carried out in conjunction with enhanced oil recovery (EOR) to yield complementary environmental and economic gains. Thus, CCS in combination with EOR will provide economical value from incremental oil recovery besides providing source for CO2 sequestration. Given a fixed CO2 supply to be distributed to different reservoirs, it is necessary to develop an allocation model to maximize profit from EOR operations. In this study, a discrete-time optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model.

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“…At the same time, other researchers have attempted to develop a model to provide decision support for matching Source -Sink CO 2 . For example, Turk et al (1987) did early attempts to model the optimal matching Source -Sink CO 2 for EOR purposes using integer linear programming model of the pure. More recently, a heuristic algorithm for the design of CCS pipeline proposed by Kazmierczak et al (2009).…”

Section: Introduce the Problemmentioning

confidence: 99%

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Licindo¹,

Paramudita²,

Handogo

et al. 2015

MAS

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Carbon capture and storage (CCS) is one of the technologies to reduce greenhouse gas emissions (GHG) to capture of CO 2 from the flue gas of a power plant that typically use coal as a Source of energy and then store it in a suitable geological storage (in specific locations). In practice, these sites may not be readily available for storage at the same time that the Sources (GHG producing) are operating which gives rise to multi -period planning problems. This study presents a mathematical approach by considering constraints limit flowrate received by Sink, various time availability of Sink and Source and calculation with the purpose to determine the minimum cost network which is getting the maximum load that is exchanged from Source to Sink. Illustrative case studies are given to demonstrate the application of mathematical models to obtained with the exact result of the exchange network from Source to Sink. Derived from network obtained from the calculation of the Maximum Load Source to Sink and results may vary in accordance with the limitations that exist in the mathematical model. The case study has been prepared with 2 cases, first 6 Source and 3 Sink with value of Source Load is greater than the amount available on the Sink. Also, second case is 2 Source and 5 Sink with value of Source Load is smaller than the amount available on the Sink. In addition, Case Studies to minimize the cost of pipeline construction and distribution of CO 2 by plant and storage location determination in Java. Flowrate restriction factor that goes into Sink, Source and Sink establishment time and cost are taken into account can affect the networks that can be exchanged from the Source to the Sink.

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CO2 Transport: A new application of the assignment problem

Cited by 31 publications

References 1 publication

The effect of acid rain legislation on the economics of CO₂recovery from power plants

The effect of acid rain legislation on the economics of CO₂recovery from power plants

CO2 Allocation for Scheduling Enhanced Oil Recovery (EOR) Operations with Geological Sequestration Using Discrete-time Optimization

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

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CO2 Transport: A new application of the assignment problem

Cited by 31 publications

References 1 publication

The effect of acid rain legislation on the economics of CO2recovery from power plants

The effect of acid rain legislation on the economics of CO2recovery from power plants

CO2 Allocation for Scheduling Enhanced Oil Recovery (EOR) Operations with Geological Sequestration Using Discrete-time Optimization

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Contact Info

Product

Resources

About

The effect of acid rain legislation on the economics of CO₂recovery from power plants

The effect of acid rain legislation on the economics of CO₂recovery from power plants