Air-Based Bottoming-Cycles for Water-Free Hybrid Solar Gas-Turbine Power Plants

2013 ◽  
Vol 135 (10) ◽  
Author(s):  
Raphaël Sandoz ◽  
James Spelling ◽  
Björn Laumert ◽  
Torsten Fransson
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Co2 Emissions ◽  
Power Plants ◽  
Levelized Cost Of Electricity ◽  
Minimum Capital ◽  
Trade Offs ◽  
Conflicting Objectives ◽  
Novel Concept ◽  
Gas Turbine Power Plant

A thermoeconomic model of a novel hybrid solar gas-turbine power plant with an air-based bottoming cycle has been developed, allowing its thermodynamic, economic, and environmental performance to be analyzed. Multi-objective optimization has been performed to identify the trade-offs between two conflicting objectives: minimum capital cost and minimum specific CO2 emissions. In-depth thermoeconomic analysis reveals that the additional bottoming cycle significantly reduces both the levelized cost of electricity and the environmental impact of the power plant (in terms of CO2 emissions and water consumption) when compared to a simple gas-turbine power plant without bottoming cycle. Overall, the novel concept appears to be a promising solution for sustainable power generation, especially in water-scarce areas.

Air-Based Bottoming-Cycles for Water-Free Hybrid Solar Gas-Turbine Power Plants

2013 ◽  
Author(s):  
Raphaël Sandoz ◽  
James Spelling ◽  
Björn Laumert ◽  
Torsten Fransson
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Co2 Emissions ◽  
Power Plants ◽  
Levelized Cost Of Electricity ◽  
Minimum Capital ◽  
Conflicting Objectives ◽  
Novel Concept ◽  
Water Scarce ◽  
Gas Turbine Power Plant

A thermoeconomic model of a novel hybrid solar gas-turbine power plant with an air-based bottoming cycle has been developed, allowing its thermodynamic, economic, and environmental performance to be analyzed. Multi-objective optimization has been performed to identify the trade-off between two conflicting objectives: minimum capital cost and minimum specific CO2 emissions. In-depth thermoeconomic analysis reveals that the additional bottoming cycle significantly reduces both the levelized cost of electricity and the environmental impact of the power plant (in terms of CO2 emissions and water consumption) when compared to a simple gas-turbine power plant without bottoming cycle. Overall, the novel concept appears to be a promising solution for sustainable power generation, especially in water-scarce areas.

Enhancing the Economic Competitiveness of Concentrating Solar Power Plants Through an Innovative Integrated Solar-Combined Cycle With Thermal Energy Storage

2014 ◽  
Author(s):  
Rafael Guédez ◽  
James Spelling ◽  
Björn Laumert
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Power Plants ◽  
Solar Power ◽  
Cost Effective ◽  
Combined Cycle ◽  
Trade Offs ◽  
Effective Manner ◽  
Wide Range ◽  
Novel Concept

The present work deals with the thermoeconomic analysis of an innovative combined power cycle consisting of a molten-salt solar tower power plant with storage supported by additional heat provided from the exhaust of a topping gas-turbine unit. A detailed dynamic model has been elaborated using an in house simulation tool that simultaneously encompasses meteorological, demand and price data. A wide range of possible designs are evaluated in order to show the trade-offs between the objectives of achieving sustainable and economically competitive designs. Results show that optimal designs of the novel concept are a promising cost-effective hybrid option that can successfully fulfill both the roles of a gas peaker plant and a baseload solar power plant in a more effective manner. Moreover, designs are also compared against conventional combined cycle gas turbine power plants and it is shown that, under specific peaking operating strategies, the innovative concept can not only perform better from an environmental standpoint but also economically.

Enhancing the Economic Competitiveness of Concentrating Solar Power Plants Through an Innovative Integrated Solar-Combined Cycle With Thermal Energy Storage

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Rafael Guédez ◽  
James Spelling ◽  
Björn Laumert
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Power Plants ◽  
Solar Power ◽  
Cost Effective ◽  
Combined Cycle ◽  
Trade Offs ◽  
Effective Manner ◽  
Wide Range ◽  
Novel Concept

The present work deals with the thermo-economic analysis of an innovative combined power cycle consisting of a molten-salt solar tower power plant with storage supported by additional heat provided from the exhaust of a topping gas-turbine unit. A detailed dynamic model has been elaborated using an in house simulation tool that simultaneously encompasses meteorological, demand and price data. A wide range of possible designs are evaluated in order to show the trade-offs between the objectives of achieving sustainable and economically competitive designs. Results show that optimal designs of the novel concept are a promising cost-effective hybrid option that can successfully fulfill both the roles of a gas peaker plant and a baseload solar power plant in a more effective manner. Moreover, designs are also compared against conventional combined cycle gas turbine (CCGT) power plants and it is shown that, under specific peaking operating strategies (P-OSs), the innovative concept cannot only perform better from an environmental standpoint but also economically.

Optimal Gas-Turbine Design for Hybrid Solar Power Plant Operation

2012 ◽  
Author(s):  
James Spelling ◽  
Björn Laumert ◽  
Torsten Fransson
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Power Plants ◽  
Solar Power ◽  
Pressure Ratio ◽  
Inlet Temperature ◽  
Electricity Cost ◽  
Conflicting Objectives ◽  
Dynamic Simulation Model ◽  
A Minor

A dynamic simulation model of a hybrid solar gas-turbine power plant has been developed, allowing determination of its thermodynamic and economic performance. In order to examine optimum gas-turbine designs for hybrid solar power plants, multi-objective thermoeconomic analysis has been performed, with two conflicting objectives: minimum levelized electricity costs and minimum specific CO2 emissions. Optimum cycle conditions: pressure-ratio, receiver temperature, turbine inlet temperature and flow rate, have been identified for a 15 MWe gas-turbine under different degrees of solarization. At moderate solar shares, the hybrid solar gas-turbine concept was shown to provide significant water and CO2 savings with only a minor increase in the levelized electricity cost.

scholarly journals Considerations regarding the anti-icing system for the ship propulsion plant with gas turbine

2021 ◽  
Vol 286 ◽  
pp. 04013
Author(s):  
George Iulian Balan ◽  
Octavian Narcis Volintiru ◽  
Ionut Cristian Scurtu ◽  
Florin Ioniță ◽  
Mirela Letitia Vasile ◽  
...  
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Energy Flow ◽  
Gas Turbines ◽  
Power Plants ◽  
Compressed Air ◽  
Ambient Temperatures ◽  
Foreign Objects ◽  
Technical Solutions ◽  
Gas Turbine Power Plant

Vessels that have navigation routes in areas with ambient temperatures that can drop below + 5 [°C], with a relative humidity of over 65%, will have implemented technical solutions for monitoring and combating ice accumulations in the intake routes of gas turbine power plants. Because gas turbines are not designed and built to allow the admission of foreign objects (in this case - ice), it is necessary to avoid the accumulation of ice through anti-icing systems and not to melt ice through defrost systems. Naval anti-icing systems may have as a source of energy flow compressed air, supersaturated steam, exhaust gases, electricity or a combination of those listed. The monitoring and optimization of the operation of the anti-icing system gives the gas turbine power plant an operation as close as possible to the normal regimes stipulated in the ship's construction or retrofit specification.

Thermo-Economic Assessment Under Electrical Market Uncertainties of a Combined Cycle Gas Turbine Integrated With a Flue Gas-Condensing Heat Pump

2020 ◽  
Author(s):  
Alberto Vannoni ◽  
Andrea Giugno ◽  
Alessandro Sorce
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Gas Turbine ◽  
Heat Pump ◽  
Flue Gas ◽  
Power Plants ◽  
Greenhouse Gas Emission ◽  
Capital Expenditure ◽  
Combined Cycle ◽  
Gas Turbine Power Plant

Abstract Renewable energy penetration is growing, due to the target of greenhouse-gas-emission reduction, even though fossil fuel-based technologies are still necessary in the current energy market scenario to provide reliable back-up power to stabilize the grid. Nevertheless, currently, an investment in such a kind of power plant might not be profitable enough, since some energy policies have led to a general decrease of both the average price of electricity and its variability; moreover, in several countries negative prices are reached on some sunny or windy days. Within this context, Combined Heat and Power systems appear not just as a fuel-efficient way to fulfill local thermal demand, but also as a sustainable way to maintain installed capacity able to support electricity grid reliability. Innovative solutions to increase both the efficiency and flexibility of those power plants, as well as careful evaluations of the economic context, are essential to ensure the sustainability of the economic investment in a fast-paced changing energy field. This study aims to evaluate the economic viability and environmental impact of an integrated solution of a cogenerative combined cycle gas turbine power plant with a flue gas condensing heat pump. Considering capital expenditure, heat demand, electricity price and its fluctuations during the whole system life, the sustainability of the investment is evaluated taking into account the uncertainties of economic scenarios and benchmarked against the integration of a cogenerative combined cycle gas turbine power plant with a Heat-Only Boiler.

Feed Forward Neural Network-Based Diagnostic Tool for Gas Turbine Power Plant

2002 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Bomba ◽  
Sergio M. Camporeale ◽  
Bernardo Fortunato
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Diagnostic Tool ◽  
Power Plants ◽  
Early Stage ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Single Fault ◽  
Fully Connected ◽  
Gas Turbine Power Plant

A diagnostic tool able to detect faults that may occur in a gas turbine power plant at an early stage of their emergence is of a great importance for power production. In the present paper, a diagnostic tool, based on Feed Forward Neural Networks (FFNN), has been proposed for gas turbine power plants with a condition monitoring approach. The main aim of the proposed diagnostic tool is to reliably detect not only every considered single fault, but also two or more faults that may occur contemporarily. Two different FFNNs compose the proposed diagnostic tool. The first network, that is not-fully connected, operates a fault pre-processing in order to evaluate the influence of the single fault variable on the single fault condition. The second FFNN detects the fault conditions by means of an iterative process. Such a diagnostic tool has been applied to a mathematical model of a single shaft gas turbine for power generation, resulting able to detect the 100% of single faults and the 80% of combined faults.

Thermodynamic Evaluation of a 42MW Gas Turbine Power Plant

2014 ◽  
Vol 12 ◽  
pp. 83-94 ◽  
Author(s):  
Henry Egware ◽  
Albert I. Obanor ◽  
Harrison Itoje
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Air Temperature ◽  
Power Plants ◽  
Exergy Analysis ◽  
Ambient Air ◽  
Thermodynamic Evaluation ◽  
Ambient Air Temperature ◽  
Energy And Exergy ◽  
Gas Turbine Power Plant

Energy and exergy analyses were carried out on an active 42MW open cycle gas turbine power plant. Data from the power plant record book were employed in the investigation. The First and Second Laws of Thermodynamics were applied to each component of the gas power plant at ambient air temperature range of 21 - 330C. Results obtained from the analyses show that the energy and exergy efficiencies decrease with increase in ambient air temperature entering the compressor. It was also shown that 66.98% of fuel input and 54.53% of chemical exergy are both lost to the environment as heat from the combustion chamber in the energy and exergy analysis respectively. The energy analysis quantified the efficiency of the plant arising from energy losses , while exergy analysis revealed the magnitude of losses in various components of the plant. Therefore a complete thermodynamic evaluation of gas turbine power plants requires the use of both analytical methods.

scholarly journals Obtaining a Neural Network Mathematical Model That Takes Into Account Various Power Supply Schemes

2021 ◽  
Vol 93 ◽  
pp. 01019
Author(s):  
G.A. Kilin ◽  
B.V. Kavalerov ◽  
A.I. Suslov ◽  
M.A. Kolpakova
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Power Plant ◽  
Control Systems ◽  
Gas Turbine ◽  
Power Plants ◽  
Electric Power System ◽  
Software Modeling ◽  
Electric Generator ◽  
Gas Turbine Power Plant

Gas turbine units are widely used as a drive for a synchronous generator in a gas turbine power plant. The main problem here lies in the fact that the control systems of such gas turbine plants are transferred practically unchanged from their aviation counterparts. This situation leads to inefficient operation of the gas turbine power plant, which affects the quality of electricity generation. To solve this problem, it is necessary to improve the control algorithms for the automatic control systems of gas turbine plants. When solving this problem, gas turbine plants should be considered in interaction with other subsystems and units; for gas turbine power plants, this is, first of all, an electric generator and the electric power system as a whole. Setting up a control system is one of the most costly stages of their production, both in terms of finance and time. Especially time-consuming operations are non-automated manual configuration management system for developmental and operational testing. Therefore, it is proposed to use a software-modeling complex, on the basis of which it is possible to obtain a neural network mathematical model of a gas turbine power plant and conduct its tests.

scholarly journals Risk Analysis of Associated Gas Utilization in Power Plants

2020 ◽  
Vol 5 (8) ◽  
pp. 858-863
Author(s):  
Isaiah Allison ◽  
Roupa Agbadede
Keyword(s):  
Power Plant ◽  
Risk Analysis ◽  
Gas Turbine ◽  
Power Plants ◽  
Simulation Software ◽  
Performance Simulation ◽  
Associated Gas ◽  
Gas Utilization ◽  
Plant Life ◽  
Gas Turbine Power Plant

This study presents the analysis of associated gas fueled gas turbine power plant with a view to harnessing associated gas. GASTURB performance simulation software was employed to model and simulate the design and off design performance of the various engines that made up the power plant investigated. Monte Carlo Simulation using Palisade’s @RISK software was employed to conduct the risk analysis of associated fueled gas turbine by incorporating different variables. A decline rate of -13% was applied over the 20-year period of power plant life, beginning from Year 2015. When the distribution curves for the clean and degraded conditions of DS25 engine set were compared, the plots show that the clean condition generates higher profit than the degraded condition.  Also, when the clean condition for DS25 and LM6K engine sets were compared, the distribution curve plots show that the cluster of DS25 engine set generates a higher profit than the LM6K engine set.

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