Performance and Economics of Advanced Energy Conversion Systems for Coal and Coal-Derived Fuels

1978 ◽  
Vol 100 (2) ◽  
pp. 252-259 ◽  
Author(s):  
J. C. Corman ◽  
G. R. Fox
Keyword(s):  
Energy Conversion ◽  
Power Plants ◽  
Technical Information ◽  
Steam Power ◽  
Energy Conversion Systems ◽  
Combined Cycles ◽  
Energy Conversion System ◽  
Open Cycle ◽  
Topping Cycle ◽  
Mhd System

The desire to establish an efficient Energy Conversion System to utilize the fossil fuel of the future—coal—has produced many candidate systems. A comparative technical/economic evaluation was performed on the seven most attractive advanced energy conversion systems. The evaluation maintains a cycle-to-cycle consistency in both performance and economic projections. The technical information base can be employed to make program decisions regarding the most attractive concept. A reference steam power plant was analyzed to the same detail and, under the same ground rules, was used as a comparison base. The power plants were all designed to utilize coal or coal-derived fuels and were targeted to meet an environmental standard. The systems evaluated were two advanced steam systems, a potassium topping cycle, a closed cycle helium system, two open cycle gas turbine combined cycles, and an open cycle MHD system.

Thermodynamic analysis of hydraulic air compressor-gas turbine power plants

1997 ◽  
Vol 211 (5) ◽  
pp. 429-437 ◽  
Author(s):  
G Bidini ◽  
C N Grimaldi ◽  
L Postrioti
Keyword(s):  
Energy Conversion ◽  
Gas Turbine ◽  
Thermodynamic Analysis ◽  
Power Plants ◽  
Energy Conversion Efficiency ◽  
Combined Cycle ◽  
Air Compressor ◽  
Energy Conversion Systems ◽  
Combined Cycles ◽  
Air Compression

Nowadays, the most common way to improve energy conversion efficiency is the integration of different systems, thus achieving a better exploitation of the available exergy potential (e.g. combined cycles, cogeneration, etc.). As a means of producing power in hydroelectric plants hydraulic energy is commonly considered to be almost completely exploited. The aim of this paper is to analyse the possible integration of hydraulic energy sources with conventional, fossil fuel based systems; in particular, power plants based on the combination of an hydraulic air compressor (HAC) and a gas turbine are considered. In an HAC, air is entrained in the water flow in a downcomer pipe and compressed. Once separated from the water in a ‘stilling chamber’ at the bottom of the downpipe, the compressed air is supplied to a combustion chamber and then to a conventional gas turbine expander. An attractive characteristic of HACs is the capability, in principle, to perform an isothermal air compression instead of an adiabatic one, as in conventional compressors. In the present work, a thermodynamic analysis is presented of HAC-gas turbine energy conversion systems, which are compared with conventional hydroelectric and gas turbine power plants. The calculated performance levels of such systems are comparable to those of combined cycle plants, making further technical and economical investigations quite interesting.

scholarly journals Exergoeconomic optimization of a thermal power plant using particle swarm optimization

2013 ◽  
Vol 17 (2) ◽  
pp. 509-524 ◽  
Author(s):  
Axel Groniewsky
Keyword(s):  
Power Plant ◽  
Energy Conversion ◽  
Power Plants ◽  
Optimization Problems ◽  
State Of The Art ◽  
Search Algorithm ◽  
Thermal Power ◽  
Optimization Methods ◽  
Conversion System ◽  
Energy Conversion System

The basic concept in applying numerical optimization methods for power plants optimization problems is to combine a State of the art search algorithm with a powerful, power plant simulation program to optimize the energy conversion system from both economic and thermodynamic viewpoints. Improving the energy conversion system by optimizing the design and operation and studying interactions among plant components requires the investigation of a large number of possible design and operational alternatives. State of the art search algorithms can assist in the development of cost-effective power plant concepts. The aim of this paper is to present how nature-inspired swarm intelligence (especially PSO) can be applied in the field of power plant optimization and how to find solutions for the problems arising and also to apply exergoeconomic optimization technics for thermal power plants.

Investigation of heat exchangers for energy conversion systems of megawatt-class space power plants

2015 ◽  
Vol 63 (1) ◽  
pp. 35-41 ◽  
Author(s):  
D. N. Ilmov ◽  
Yu. N. Mamontov ◽  
A. S. Skorohodov ◽  
V. A. Smolyarov ◽  
N. I. Filatov
Keyword(s):  
Energy Conversion ◽  
Heat Exchangers ◽  
Power Plants ◽  
Energy Conversion Systems

scholarly journals Possible developments in energy conversion using liquid metal magnetohydrodynamics

2009 ◽  
Vol 20 (2) ◽  
pp. 17-25 ◽  
Author(s):  
Raj Kumar Kapooria
Keyword(s):  
Liquid Metal ◽  
Phase Change ◽  
Energy Conversion ◽  
Thermal Energy ◽  
Thermal Energy Conversion ◽  
Energy Conversion Systems ◽  
Dual Cycle ◽  
Low Efficiency ◽  
Mhd System ◽  
Hydrodynamic Energy

Liquid metal magneto-hydrodynamic-energy-conversion (LMMHDEC) systems have been a matter of great interest and research & development since 1960. The various states of design and development of such systems go through a step-by-step progress with time. This paper highlights the phenomenon of direct thermal energy conversion systems using liquid metal as an electrodynamics fluid and gas/vapour as a thermodynamic fluid. An analysis of the technological drawbacks responsible for low efficiency of these LMMHDEC systems along with possible R & D solutions have been discussed in this technical research paper. The separation of electrodynamics fluid from thermodynamic fluid at various stages of MHD conversion remained an efficiency challenge of the various types of systems. To meet this challenge, a Dual-cycle MHD system has been designed in this paper. Both the fluids viz. thermodynamic and electrodynamics go through a phase change in this cycle. The thermal efficiency is optimized when one fluid goes into a phase change during a cycle and another fluid does not experience any phase change. The information covered in this paper enables an overview of concepts and the background to choose a cycle for a given temperature range.

scholarly journals Up-Rated Reheat Gas Turbine for the Repowering of Steam Power Plants

1999 ◽  
Author(s):  
G. Negri di Montenegro ◽  
A. Peretto ◽  
E. Mantino
Keyword(s):  
Gas Turbine ◽  
Power Plants ◽  
Fossil Fuel ◽  
Lower Cost ◽  
Combined Cycle ◽  
Internal Rate Of Return ◽  
Steam Power ◽  
Steam Power Plants ◽  
Combined Cycles ◽  
Fossil Fuel Power Plants

In the present paper, a thermoeconomic analysis of combined cycles derived from existing steam power plants is performed. The gas turbine employed is a reheat gas turbine. The increase of the two combustor outlet temperatures was also investigated. The study reveals that the transformation of old conventional fossil fuel power plants in combined cycle power plants with reheat gas turbine supplies a cost per kWh lower than that of a new combined cycle power plant, also equipped with reheat gas turbine. This occurs for all the repowered plants analyzed. Moreover, the solution of increasing the two combustor outlet temperatures resulted a strategy to pursue, leading, in particular, to a lower cost per kWh, Pay Back Period and to a greater Internal Rate of Return.

scholarly journals Fault Detection in Grid Connected Wind Energy Conversion Systems

2019 ◽  
Vol 8 (4S2) ◽  
pp. 391-395
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Back Propagation ◽  
Training Algorithm ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Energy Conversion Systems ◽  
Energy Conversion System ◽  
Propagation Network

This paper develops an artificial neural network-based implementation for detecting fault in grid connected Wind energy conversion system. The proposed algorithm that would predict the fault that occurs on the grid connected system is completely automated using the ANN algorithm. The fault in the grid is considered to implement the proposed algorithm for identify the fault. The automation is carried out using Back Propagation Network Algorithm (BPNA) and MATLAB based realization using Simulink and M-file functions is carried out and the results are tabulated. The efficient training algorithm and the testing is carried out on the grid connected WECS. The parameters accuracy of this algorithm is analyzed with previous implementations. The outcome of the proposed implementation provided satisfactory results.

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