Systems and service modeling and simulation
Anis Shabani; Amir Hossein Refahi Sheikhani; Hossein Aminikhah
Abstract
In this article, we investigated the robust control approach for variable-order fractional time fractional butterfly- shaped chaotic attractor system that the fractional derivative is considered in Atangana-Baleanu-Caputo sense. We show the computational algorithm with high accuracy for solving the proposed ...
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In this article, we investigated the robust control approach for variable-order fractional time fractional butterfly- shaped chaotic attractor system that the fractional derivative is considered in Atangana-Baleanu-Caputo sense. We show the computational algorithm with high accuracy for solving the proposed systems. For the suggested system, Adams-Bashforth-Moulton approach applied for converting the system of the equations into a system of linear or nonlinear algebraic equations. The existence and uniqueness of the solution are shown and also asymptotically stable is investigated in this article. At the end, a number of statistical indicators were presented in order efficiency, accuracy and simple applicability of the proposed method.
Systems and service modeling and simulation
Aniekan Essienubong Ikpe; Ijeoma Camelita Iluobe; Desmond Iria-evbo Imonitie
Abstract
The aim of this study was to analyze the performance of Omotosho Phase II gas turbine power plant for improved performance. To obtain the required output performance of the gas turbine power plant, operation data from years of 2013 to 2016 was collected from Omotosho Phase II gas turbine power plant ...
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The aim of this study was to analyze the performance of Omotosho Phase II gas turbine power plant for improved performance. To obtain the required output performance of the gas turbine power plant, operation data from years of 2013 to 2016 was collected from Omotosho Phase II gas turbine power plant in Ondo State, Nigeria. ASPEN HYSYS 2016 version was used to create two models, with one representing Omotosho Phase II gas turbine power plant with fogging unit incorporated while the other represented the power plant without fogging unit. The data was fed as input variables into the models in ASPEN HYSYS 2016 version which simulated the power plant process Specific Fuel Consumption (SFC) obtained from the power plant simulation when fogging is not incorporated was 0.199 kg/kwh, whereas, SFC of the plant with fogging was 0.179 kg/kwh. Thermal efficiency of 43.93% was obtained from the result of the simulated power plant with fogging system, whereas, thermal efficiency of 39.39% obtained from the result of the simulated power plant without fogging system. Net power of 131 MW was obtained from the simulation of the power plant with fogging system while net power of 117.46 MW was obtained when the plant operates without fogging system installed. For the compressor work, 82 MW/h was obtained from the simulation of the power plant with fogging system, whereas, 112.11 MW/h was obtained from the simulation of the power plant without fogging system. Furthermore, turbine work of 213 MW/h were obtained from the simulation of the power plant operating with fogging system while turbine work of 229.57 MW/h was obtained from the power plant without fogging system. This indicates that the incorporation of fogging system into Omotosho Phase II gas turbine power plant is economically viable in terms of fuel consumption, efficiency, power requirement, and GHG emissions compared to operation of the power plant without fogging system.
Systems and service modeling and simulation
Javid Jouzdani; Hadi Shirouyehzad
Abstract
In recent decades, several outbreaks have threatened societies and claimed many lives. Outbreak response management plays a crucial role in reducing the fatality rate and the total healthcare system cost. Among all the parameters affecting the performance of the outbreak response system, the available ...
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In recent decades, several outbreaks have threatened societies and claimed many lives. Outbreak response management plays a crucial role in reducing the fatality rate and the total healthcare system cost. Among all the parameters affecting the performance of the outbreak response system, the available resources are one of the most important. This becomes critical when the number of infected people who need such resources is substantial. In such circumstances, the system cost and the death rate may significantly rise. Therefore, in this paper, we present an analysis of the impact of the contact frequency among people during an outbreak considering the capacity of the healthcare system expressed as the total number of hospital beds following a systems dynamics approach. We investigate the case of the novel Coronavirus, known as COVID-19, in Iran for which the results indicate the circumstances under which the healthcare system may become exhausted, and a catastrophe may occur. Finally, some suggestions are made based on the analysis of the results to avoid such circumstances.