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

机译:使用数学方法优化网络碳捕集与封存系统(CCS)

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Carbon capture and storage (CCS) is one of the technologies to reduce greenhouse gas emissions (GHG) tocapture of CO2 from the flue gas of a power plant that typically use coal as a Source of energy and then store it ina suitable geological storage (in specific locations). In practice, these sites may not be readily available forstorage at the same time that the Sources (GHG producing) are operating which gives rise to multi – periodplanning problems. This study presents a mathematical approach by considering constraints limit flowratereceived by Sink, various time availability of Sink and Source and calculation with the purpose to determine theminimum cost network which is getting the maximum load that is exchanged from Source to Sink. Illustrativecase studies are given to demonstrate the application of mathematical models to obtained with the exact result ofthe exchange network from Source to Sink. Derived from network obtained from the calculation of theMaximum Load Source to Sink and results may vary in accordance with the limitations that exist in themathematical model. The case study has been prepared with 2 cases, first 6 Source and 3 Sink with value ofSource Load is greater than the amount available on the Sink. Also, second case is 2 Source and 5 Sinkwithvalue of Source Load is smaller than the amount available on the Sink. In addition, Case Studies tominimize the cost of pipeline construction and distribution of CO2 by plant and storage location determination inJava. Flowrate restriction factor that goes into Sink, Source and Sink establishment time and cost are taken intoaccount can affect the networks that can be exchanged from the Source to the Sink.
机译:碳捕集与封存(CCS)是减少温室气体排放(GHG)的技术之一,该技术可从通常使用煤炭作为能源的发电厂的烟道气中捕集CO2,然后将其存储在合适的地质储藏库中(具体位置)。实际上,在源头(GHG产生)运行的同时,这些站点可能不易存储,这会引起跨期计划问题。这项研究提出了一种数学方法,该方法考虑了接收器接收的约束限制流量,接收器和源的各种时间可用性以及计算,目的是确定最小成本网络,该网络将获得从源到接收器交换的最大负载。给出了示例性案例研究,以说明数学模型的应用,并获得源到汇的交换网络的准确结果。从网络的最大负荷源计算得出的网络得出的结果可能会因数学模型中存在的限制而有所不同。该案例研究已准备好2个案例,前6个Source和3 Sink的Source Load值大于Sink上可用的数量。同样,第二种情况是2个源和5个Sinkwith的源负载值小于接收器上的可用量。此外,通过Java中的工厂和存储位置确定,案例研究可最大程度地减少管道建设和CO2分配的成本。考虑到流量,源和接收器建立时间和成本的流量限制因素会影响可以从源交换到接收器的网络。

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