GTPOM: Thermo-Economic Optimization of Whole Gas Turbine Plant

2006 ◽  
Vol 128 (3) ◽  
pp. 535-542 ◽  
Author(s):  
Richard Knight ◽  
Mitsuru Obana ◽  
Christer von Wowern ◽  
Athanasios Mitakakis ◽  
Erhard Perz ◽  
...  
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Energy Systems ◽  
Software Tool ◽  
Combined Cycle ◽  
Plant Design ◽  
Economic Optimization ◽  
Turbine Plant ◽  
Trade Offs ◽  
Gas Turbine Plant

Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commission’s 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy systems, enabling the complex trade-offs between system performance and installed costs to be determined for different operational duties and market scenarios. Furthermore, the code is capable of determining the potential benefits of innovative cycles or layout modifications to existing plants compared with current plant configurations. The economic assessment is performed through a complete through-life cycle cost analysis, which includes the total capital cost of the plant, the cost of fuel, O&M costs and the expected revenues from the sale of power and heat. The optimization process, carried out with a GA-based algorithm, is able to pursue different objective functions as specified by the User. These include system efficiency, through-life cost of electricity and through-life internal rate of return. Three case studies demonstrating the capabilities of the new tool are presented in this paper, covering a conventional combined cycle system, a biomass plant and a CO2 sequestration gas turbine cycle. The software code is now commercially available and is expected to provide significant advantages in the near and long-term development of energy cycles.

GTPOM: Thermo-Economic Optimization of Whole Gas Turbine Plant

2004 ◽  
Author(s):  
Richard Knight ◽  
Mitsuru Obana ◽  
Christer von Wowern ◽  
Athanasios Mitakakis ◽  
Erhard Perz ◽  
...  
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Energy Systems ◽  
Software Tool ◽  
Combined Cycle ◽  
Plant Design ◽  
Economic Optimization ◽  
Turbine Plant ◽  
Trade Offs ◽  
Gas Turbine Plant

Trends towards distributed power generation and the deregulation of energy markets are increasing the requirement for software tools that optimize power generation plant design and operation. In this context, this paper describes the GTPOM (thermo-economic optimization of whole gas turbine plant) European project, funded in part through the European Commission’s 5th Framework Programme, focusing on the development and demonstration of an original software tool for the thermo-economic analysis and optimization of conventional and advanced energy systems based on gas turbine plant. PSEconomy, the software tool developed during the GTPOM project, provides a thermo-economic optimization capability for advanced and more-conventional energy systems, enabling the complex trade-offs between system performance and installed costs to be determined for different operational duties and market scenarios. Furthermore, the code is capable of determining the potential benefits of innovative cycles or layout modifications to existing plants compared with current plant configurations. The economic assessment is performed through a complete through-life cycle cost analysis, which includes the total capital cost of the plant, the cost of fuel, O&M costs and the expected revenues from the sale of power and heat. The optimization process, carried out with a GA-based algorithm, is able to pursue different objective functions as specified by the User. These include system efficiency, through-life cost of electricity and through-life internal rate of return. Three case studies demonstrating the capabilities of the new tool are presented in this paper, covering a conventional combined cycle system, a biomass plant and a CO2 sequestration gas turbine cycle. The software code is now commercially available and is expected to provide significant advantages in the near and long-term development of energy cycles.

Thermo-Economic Optimization of Hybridization Options for Solar Retrofitting of Combined-Cycle Power Plants

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
Erik Pihl ◽  
James Spelling ◽  
Filip Johnsson
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Solar Power ◽  
Combined Cycle ◽  
Plant Design ◽  
Economic Optimization ◽  
Concentrating Solar Power ◽  
Combined Cycle Power Plant ◽  
Trade Offs ◽  
Conflicting Objectives

A thermo-economic optimization model of an integrated solar combined-cycle (ISCC) has been developed to evaluate the performance of an existing combined-cycle gas turbine (CCGT) plant when retrofitted with solar trough collectors. The model employs evolutionary algorithms to assess the optimal performance and cost of the power plant. To define the trade-offs required for maximizing gains and minimizing costs (and to identify ‘optimal’ hybridization schemes), two conflicting objectives were considered, namely, minimum required investment and maximum net present value (NPV). Optimization was performed for various feed-in tariff (FIT) regimes, with tariff levels that were either fixed or that varied with electricity pool prices. It was found that for the given combined-cycle power plant design, only small annual solar shares (∼1.2% annual share, 4% of installed capacity) could be achieved by retrofitting. The integrated solar combined-cycle design has optimal thermal storage capacities that are several times smaller than those of the corresponding solar-only design. Even with strong incentives to shift the load to periods in which the prices are higher, investment in storage capacity was not promoted. Nevertheless, the levelized costs of the additional solar-generated electricity are as low as 10 c€/kWh, compared to the 17–19 c€/kWh achieved for a reference, nonhybridized, “solar-only” concentrating solar power plant optimized with the same tools and cost dataset. The main reasons for the lower cost of the integrated solar combined-cycle power plant are improved solar-to-electric efficiency and the lower level of required investment in the steam cycle. The retrofitting of combined-cycle gas turbine plants to integrated solar combined-cycle plants with parabolic troughs represents a viable option to achieve relatively low-cost capacity expansion and strong knowledge building regarding concentrating solar power.

DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant

2008 ◽  
Vol 34 (4) ◽  
pp. 2267-2277 ◽  
Author(s):  
A ARRANZ ◽  
A CRUZ ◽  
M SANZBOBI ◽  
P RUIZ ◽  
J COUTINO
Keyword(s):  
Anomaly Detection ◽  
Gas Turbine ◽  
Intelligent System ◽  
Combined Cycle ◽  
Turbine Plant ◽  
Gas Turbine Plant

The Optimum Pressure Ratio for a Combined Cycle Gas Turbine Plant

1995 ◽  
Vol 209 (4) ◽  
pp. 259-264 ◽  
Author(s):  
J H Horlock
Keyword(s):  
Gas Turbine ◽  
Pressure Ratio ◽  
Combined Cycle ◽  
Maximum Efficiency ◽  
Specific Work ◽  
Optimum Pressure ◽  
Turbine Plant ◽  
Gas Turbine Plant ◽  
Overall Efficiency ◽  
Gas Turbine Cycle

A graphical method of calculating the performance of gas turbine cycles, developed by Hawthorne and Davis (1), is adapted to determine the pressure ratio of a combined cycle gas turbine (CCGT) plant which will give maximum overall efficiency. The results of this approximate analysis show that the optimum pressure ratio is less than that for maximum efficiency in the higher level (gas turbine) cycle but greater than that for maximum specific work in that cycle. Introduction of reheat into the higher cycle increases the pressure ratio required for maximum overall efficiency.

Thermo-economic optimization of whole gas turbine plant (GTPOM)

2004 ◽  
Vol 24 (11-12) ◽  
pp. 1725-1733 ◽  
Author(s):  
Richard Knight ◽  
Ulf Linder ◽  
Niels Markworth ◽  
Erhard Perz
Keyword(s):  
Gas Turbine ◽  
Economic Optimization ◽  
Turbine Plant ◽  
Gas Turbine Plant
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