Modeling of a Combined Cycle Gas Turbine (CCGT) Using an Adaptive Neuro-Fuzzy System
Author:
Publisher
Pleiades Publishing Ltd
Subject
Energy Engineering and Power Technology,Nuclear Energy and Engineering
Link
https://link.springer.com/content/pdf/10.1134/S0040601522090038.pdf
Reference56 articles.
1. M. Martín-Gamboa, D. Iribarren, and J. Dufour, “Environmental impact efficiency of natural gas combined cycle power plants: A combined life cycle assessment and dynamic data envelopment analysis approach,” Sci. Total Environ. 615, 29–37 (2018). https://doi.org/10.1016/j.scitotenv.2017.09.243
2. P. J. Korhonen and M. Luptacik, “Eco-efficiency analysis of power plants: An extension of data envelopment analysis,” Eur. J. Oper. Res. 154, 437–446 (2004). https://doi.org/10.1016/S0377-2217(03)00180-2
3. S. Munisamy and B. Arabi, “Eco-efficiency change in power plants: Using a slacks-based measure for the meta-frontier Malmquist–Luenberger productivity index,” J. Cleaner Prod. 105, 218–232 (2015). https://doi.org/10.1016/j.jclepro.2014.12.081
4. A. Arceo, W. K. Biswas, and M. John, “Eco-efficiency improvement of Western Australian remote area power supply,” J. Cleaner Prod. 230, 820–834 (2019). https://doi.org/10.1016/j.jclepro.2019.05.106
5. M. Khaljani, R. K. Saray, and K. Bahlouli, “Comprehensive analysis of energy, exergy and exergo-economic of cogeneration of heat and power in a combined gas turbine and organic Rankine cycle,” Energy Convers. Manage. 97, 154–165 (2015). https://doi.org/10.1016/j.enconman.2015.02.067
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