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Summary In this paper, a novel cogeneration system integrating Kalina cycle, CO2 chemical absorption, process, and flash‐binary cycle is proposed to remove acid gases in the exhaust gas of solid oxide fuel cell (SOFC) system, improve the waste heat utilization, and reduce the cold energy consumed during CO2 capture. In the CO2 chemical absorption process, the methyldiethanolamine (MDEA) aqueous solution is utilized as a solvent, and feed temperature and absorber pressure are optimized via Aspen Plus software. The single‐objective and multiobjective optimization are carried out for the flash‐binary cycle subsystem. Results show that when the multiobjective optimization is applied to identify the exergoeconomic condition, the cogeneration system can simultaneously satisfy the high thermodynamic cycle efficiency and also the low product unit cost. The optimal results of the exergy efficiency, product unit cost, and normalized CO2 emissions obtained by Pareto chart were 75.84%, 3.248 $/GJ, and 13.14 kg/MWhr, respectively.
Nowadays, a fundamental requirement for a prosperous society is a reliable energy supply. The complex network theory provides an excellent basis to explore the functionality of such systems in response to severe component failures. In this case study, the European natural gas system is analyzed. The actual natural gas consumption is geospatially allocated to the infrastructure network. The network is abstracted and the flow capacity of the network is computed. A scenario analysis is conducted in order to identify the impact of storage facilities on the actual maximum possible flow. Furthermore, the natural gas supply shortage caused by each pipeline in case of a potential pipeline shutdown or failure is estimated. Finally, potential strategic locations of storage facilities for a more reliable natural gas network are identified. Natural gas is transported and distributed by a well-developed system. The design of such a system requires long-term planning and large infrastructure investments. This kind of investments locks the capital in long-term contracts involving often policy decisions and agreements on national or regional levels (e.g. Carvalho et al., 2014, Mišík and Nosko, 2017). The European natural gas system became over time a large infrastructure network with many components, such as compressor stations, storage facilities, gas processing plants, Liquefied Natural Gas (LNG) terminals, LNG liquefaction and regasification facilities, aiming at assuring high reliability of the supply system. These components should be well planned and coordinated to guarantee a continous and adequate natural gas flow. The natural gas demand cannot be covered by the European countries' available natural gas resources (BP, 2016). Therefore, it is necessary that natural gas is transported by pipelines from the East and South to Europe. Complementary, natural gas is also imported via LNG terminals. The natural gas infrastructure network has to be able to compensate for potential pipeline shutdowns or failures, among others. This can be achieved through the construction of strategic
This paper presents a framework to identify critical nodes of a gas pipeline network. This framework calculates a set of metrics typical of the social network analysis considering the topological characteristics of the network. Such metrics are utilized as inputs and outputs of a (Data Envelopment Analysis) DEA model to generate a cross-efficiency index that identifies the most important nodes in the network. The framework was implemented to assess the US interstate gas network between 2013 and 2017 from both the demand and supply-side perspectives. Results emerging from the US gas network case suggest that different analysis perspectives should necessarily be considered to have a more in-depth and comprehensive view of the network capacity and performance.
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