GTA-based framework for evaluating the role of design parameters in cogeneration cycle power plant efficiency

Dev, Nikhil; Samsher,; Kachhwaha, Surendra Singh; Attri, Rajesh

doi:10.1016/j.asej.2012.08.002

Cited by 16 publications

(9 citation statements)

References 14 publications

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“…For example compressor pressure ratio is to be equal to the gas turbine expansion ratio. Furthermore, literature [18,29] reports that to increase cycle efficiency, it is required to select the gas turbine with higher turbine inlet temperature along with higher cycle pressure ratio. Therefore, all the other design parameters for the power plant components are to be rescheduled with change in one design parameters.…”

Section: Exergoeconomic Analysismentioning

confidence: 99%

“…The procedure for converting a SED into variable permanent matrix is similar to the methodology developed for performance analysis and may be seen somewhere else [18]. The matrix corresponding to the SED of Fig.…”

Section: Variable Permanent System Efficiency Matrix (Vpsem)mentioning

confidence: 99%

“…For the computational analysis SSD is converted into matrix form. Adjacency matrix, characteristic structural features matrix, characteristic system structure matrix, variable characteristic system structure matrix and variable permanent system structure matrix are five steps to develop matrix form of the SSD [17,18]. Variable permanent system structure matrix is expanded and all the negative signs in the determinant are replaced with positive sign to retain structural information of the system.…”

Section: Graph Theoretic Analysis (Gta)mentioning

confidence: 99%

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GTA modeling of combined cycle power plant efficiency analysis

Dev

Samsher

Kachhwaha

et al. 2015

Ain Shams Engineering Journal

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A methodology based upon graph theory and matrix method is developed for the efficiency analysis of a Combined Cycle Power Plant (CCPP) with a view that a person at managerial level may decide regarding efficiency improvement without in-depth knowledge of conventional methods of thermal efficiency evaluation. For the analysis, CCPP is divided into six sub-systems and interdependency is identified to develop system structure digraph. Sub-system efficiencies are further dependent on numerous parameters which are interdependent. Therefore, methodology developed at system level is extended to sub-system level. Performance parameter digraph is developed at sub-system level by intriguing inheritance and interdependencies of parameters. Digraph is converted into matrix form and permanent function is developed. The value of permanent function in real time situation is compared with design condition to obtain Relative Efficiency Index (REI) at sub-system level. REI at sub-system level is guidance for deviation of efficiency index from its design value.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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Section: Exergoeconomic Analysismentioning

confidence: 99%

Section: Variable Permanent System Efficiency Matrix (Vpsem)mentioning

confidence: 99%

Section: Graph Theoretic Analysis (Gta)mentioning

confidence: 99%

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GTA modeling of combined cycle power plant efficiency analysis

Dev

Samsher

Kachhwaha

et al. 2015

Ain Shams Engineering Journal

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“…Fuel utilization efficiency (FUE) depends upon the design of combustion chamber. FUE of a plant is the ratio of all useful energy (power and process heat) extracted from the system to the input fuel energy (Dev et al 2013d). 4.…”

Section: Combustion Chamber Systemmentioning

confidence: 99%

Evaluation of gas turbine power plant efficiency using graph theoretic approach

Dev

Attri

2016

Int J Syst Assur Eng Manag

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This paper presents a methodology based on graph theoretic approach (GTA) to design a new gas turbine power plant (GTPP), upgrading of existing plant and evaluation of two real life operating gas turbine power plants. Different combinations may be recommended by a manufacturer to an organization for selecting or improving the thermal efficiency of a power plant. This paper recognizes various design parameters affecting the gas turbine power plant efficiency. All these parameters are interacting with each other by different amounts. An attempt has been made to develop a mathematical model of GTPP from these interacting parameters using GTA. A GTPP efficiency index is proposed which assesses the influence power of these parameters.

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“…Most stationary gas turbines are fueled with natural gas (CNG) or other similar fuels as the ash content is lower in gaseous fuels and frequent maintenance is avoided. Gas turbines in aircrafts are fueled with kerosene which is a light petroleum distillate [9][10][11].…”

Section: Introductionmentioning

confidence: 99%