Applicable and Comparative Research of Compressor Mass Flow Rate and Isentropic Efficiency Empirical Models to Marine Large-Scale Compressor
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- Jinguan Yin & Tiexiong Su & Zhuowei Guan & Quanhong Chu & Changjiang Meng & Li Jia & Jun Wang & Yangang Zhang, 2017. "Modeling and Validation of a Diesel Engine with Turbocharger for Hardware-in-the-Loop Applications," Energies, MDPI, vol. 10(5), pages 1-17, May.
- Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
- Ghorbanian, K. & Gholamrezaei, M., 2009. "An artificial neural network approach to compressor performance prediction," Applied Energy, Elsevier, vol. 86(7-8), pages 1210-1221, July.
- Guan, Cong & Theotokatos, Gerasimos & Zhou, Peilin & Chen, Hui, 2014. "Computational investigation of a large containership propulsion engine operation at slow steaming conditions," Applied Energy, Elsevier, vol. 130(C), pages 370-383.
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- Liang, Ting & Vecchi, Andrea & Knobloch, Kai & Sciacovelli, Adriano & Engelbrecht, Kurt & Li, Yongliang & Ding, Yulong, 2022. "Key components for Carnot Battery: Technology review, technical barriers and selection criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
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Keywords
marine compressor; empirical model; mass flow rate; isentropic efficiency; comparative research;All these keywords.
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