Search Results - subject:"gas turbine"

A stochastic discrete choice dynamic programming model of power plant operations and retirement

Çam, Eren; Hinkel, Niklas; Schönfisch, Max - 2022

open-cycle gas turbine (OCGT) using a dynamic discrete choice model, based on fuel andelectricity prices, as well as …

Persistent link: https://www.econbiz.de/10013482846

A stochastic discrete choice dynamic programming model of power plant operations and retirement

Çam, Eren; Hinkel, Niklas; Schönfisch, Max - 2022

open-cycle gas turbine (OCGT) using a dynamic discrete choice model, based on fuel andelectricity prices, as well as …

Persistent link: https://www.econbiz.de/10012820376

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling

Xie, Jiarui; Zhang, Chonghui; Sage, Manuel; Safdar, Mutahar - In: International journal of production research 62 (2024) 12, pp. 4181-4201

Persistent link: https://www.econbiz.de/10014547243

Development of the system of energy and resource saving during the operation of the gas pumping unit

Kologrivov, Mykhailo; Buzovskyi, Vitalii - In: Technology audit and production reserves 5 (2021) 1/61, pp. 18-24

Persistent link: https://www.econbiz.de/10013167294

Modelling of a Hybrid Solar Micro-Gas Turbine fuelled by biomass from agriculture product

Cameretti, Maria Cristina - In: Energy Reports 6 (2020) 3, pp. 105-116

demands exclusively through renewable resources. A layout of a hybrid micro-gas turbine-solarplant fed by biomass from … and a micro gas turbine, optimized for the operation with syngas. In particular, the MGT plant is integrated with a solar …

Persistent link: https://www.econbiz.de/10012652346

Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

Alblawi, Adel - In: Energy Reports 6 (2020), pp. 1083-1096

In the study presented in this paper, the deterioration in the performance of an industrial gas turbine during the … presents a robust fault diagnosis system for gas turbine degradation detection with the aim of improving energy efficiency. …

Persistent link: https://www.econbiz.de/10012652465

Prediction of blade life cycle for an industrial gas turbine at off-design conditions by applying thermodynamics, turbo-machinery and artificial neural network models

Sanaye, Sepehr; Hosseini, Salahadin - In: Energy Reports 6 (2020), pp. 1268-1285

A novel method for estimating the rotor blade life cycle of an industrial gas turbine (GT) by the use of artificial … (with 10-4 as mean square error, MSE). Finally, by the use of neural network method, the effects of gas turbine operating …

Persistent link: https://www.econbiz.de/10012652481

Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

Alblawi, Adel - In: Energy reports 6 (2020), pp. 1083-1096

Persistent link: https://www.econbiz.de/10012220958

Prediction of blade life cycle for an industrial gas turbine at off-design conditions by applying thermodynamics, turbo-machinery and artificial neural network models

Sanaye, Sepehr; Hosseini, Salahadin - In: Energy reports 6 (2020), pp. 1268-1285

Persistent link: https://www.econbiz.de/10012221263

Modelling of a Hybrid Solar Micro-Gas Turbine fuelled by biomass from agriculture product

Cameretti, Maria Cristina - In: Energy reports 6 (2020) 3, pp. 105-116

Persistent link: https://www.econbiz.de/10012182959

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