Ocean Thermal Difference Power-Plant Design

1974 ◽  
Vol 96 (4) ◽  
pp. 1119-1129 ◽  
Author(s):  
J. G. McGowan ◽  
W. E. Heronemus ◽  
J. W. Connell ◽  
P. D. Cloutier
Keyword(s):  
Power Plant ◽  
Thermal Cycle ◽  
Rankine Cycle ◽  
Design Parameters ◽  
Preliminary Design ◽  
Plant Design ◽  
Hull Design ◽  
Computer Based ◽  
Design Factors ◽  
Thermal Difference

This paper discusses the preliminary design of a closed Rankine cycle power system using the ocean temperature difference as an energy source. A thermal cycle analysis and hull design factors for the system are presented. Graphical and tabular results which illustrate the importance of various cycle and design parameters are included as well as the outline of the digital-computer-based cycle analytical model. In addition, one design for a 400-mw power plant is shown.

scholarly journals Predicting the Quantity of Municipal Solid Waste Required for Power Generation Using Power Plant Design Parameters

2019 ◽  
Vol 1378 ◽  
pp. 032090
Author(s):  
R. A Ibikunle ◽  
I.F Titiladunayo ◽  
D. C Uguru-Okorie ◽  
C.O Osueke ◽  
A Olayanju
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Design Parameters ◽  
Plant Design

Advanced Bottoming Cycle Optimisation for Large Alstom CCPP

2007 ◽  
Author(s):  
Michael Vollmer ◽  
Camille Pedretti ◽  
Alexander Ni ◽  
Manfred Wirsum
Keyword(s):  
Power Plant ◽  
Gas Turbines ◽  
Process Model ◽  
Combined Cycle ◽  
Plant Performance ◽  
Design Parameters ◽  
Economic Plant ◽  
Plant Design ◽  
Investment Cost ◽  
Definition Of

This paper presents the fundamentals of an evolutionary, thermo-economic plant design methodology, which enables an improved and customer-focused optimization of the bottoming cycle of a large Combined Cycle Power Plant. The new methodology focuses on the conceptual design of the CCPP applicable to the product development and the pre-acquisition phase. After the definition of the overall plant configuration such as the number of gas turbines used, the type of main cooling system and the related fix investment cost, the CCPP is optimized towards any criteria available in the process model (e.g. lowest COE, maximum NPV/IRR, highest net efficiency). In view of the fact that the optimization is performed on a global plant level with a simultaneous hot- and cold- end optimization, the results clearly show the dependency of the HRSG steam parameters and the related steam turbine configuration on the definition of the cold end (Air Cooled Condenser instead of Direct Cooling). Furthermore, competing methods for feedwater preheating (HRSG recirculation, condensate preheating or pegging steam), different HRSG heat exchanger arrangements as well as applicable portfolio components are automatically evaluated and finally selected. The developed process model is based on a fixed superstructure and copes with the full complexity of today’s bottoming cycle configurations as well with any constraints and design rules existing in practice. It includes a variety of component modules that are prescribed with their performance characteristics, design limitations and individual cost. More than 100 parameters are used to directly calculate the overall plant performance and related investment cost. Further definitions on payment schedule, construction time, operation regime and consumable cost results in a full economic life cycle calculation of the CCPP. For the overall optimization the process model is coupled to an evolutionary optimizer, whereas around 60 design parameters are used within predefined bounds. Within a single optimization run more than 100’000 bottoming cycle configurations are calculated in order to find the targeted optimum and thanks to today’s massive parallel computing resources, the solution can be found over night. Due to the direct formulation of the process model, the best cycle configuration is a result provided by the optimizer and can be based on a single-, dual or triple pressure system using non-reheat, reheat or double reheat configuration. This methodology enables to analyze also existing limitations and characteristics of the key components in the process model and assists to initiate new developments in order to constantly increase the value for power plant customers.

Study of the Influence of the Nominal Power on the Selection of the CCGT Power Plant Optimum Configuration Including Supercritical Configurations

2008 ◽  
Author(s):  
M. D. Duran ◽  
A. Rovira
Keyword(s):  
Power Plant ◽  
Gas Turbines ◽  
Power Plants ◽  
Optimization Technique ◽  
Combined Cycle ◽  
Specific Power ◽  
Design Parameters ◽  
Plant Design ◽  
Economic Optimization ◽  
Optimum Configuration

It is the purpose of this work to show how to select the best configuration as a function of the combined cycle power. It uses thermo-economic optimization technique based on flexible genetic algorithms (GA). These results will be based on a Thermoeconomic model developed in previous works, this maximizes the cash flow by choosing the correct parameters for the plant design — particularly those corresponding to the HRSG — subject to the restriction that hypothetical, but realistic turbines have already been chosen. This study begins with an analysis of the trends in the commercial gas turbines (GT) design. It was observed that in spite of the diverse companies, the design parameters as well as the turbine cost, follow certain trends depending on the turbine power. When a CCGT power plant is planned, once the GT is selected, is necessary to determine which configuration of the HRSG is the most appropriate in order to get the maximum performance and the best economical results. There is a wide variety of selections of CCGT power plants configurations. To facilitate the analysis of this ample number of CCGT systems we will apply our study to the following types of HRSG: Double pressure with and without reheater, Triple pressure levels with reheater and Triple pressure levels with reheater and supercritical pressure. As a result of this study it may be observed that some design trends should be established so as to decide which configuration (including supercritical cycles) is better to select to specific power.

A Novel Absorption Regeneration-Thermodynamic Heat Engine Cycle

1978 ◽  
Vol 100 (4) ◽  
pp. 566-570 ◽  
Author(s):  
B. Nimmo ◽  
R. Evans
Keyword(s):  
Electrical Power ◽  
Research Work ◽  
Heat Engine ◽  
Rankine Cycle ◽  
Design Parameters ◽  
Plant Design ◽  
Power Cycle ◽  
First Order ◽  
Important Design ◽  
Heat Engine Cycle

This paper introduces and provides a first order thermal cycle analysis of a new power plant design, the absorption-regeneration power cycle. Preliminary analysis indicates that this new cycle may have potential for increased operating efficiencies compared to the modified Rankine cycle presently in use for most stationary electrical power production. Graphs are presented to illustrate calculated efficiencies as well as some important design parameters of the cycle. Research work on extending presently available thermo-chemical data required to improve the model analysis is suggested.

scholarly journals An Intelligent/Learning Axial Fan Design System

1991 ◽  
Author(s):  
Dennis G. Jackson ◽  
Terry Wright
Keyword(s):  
Design Process ◽  
Design Parameters ◽  
Design System ◽  
Preliminary Design ◽  
Axial Fan ◽  
Design Program ◽  
Current Design ◽  
Computer Based ◽  
Refinement Process ◽  
Blade Element

A computer-based axial fan design system has been developed that allows the designer to rapidly obtain a preliminary axial fan design. Program FANDES allows the designer two options to determine the preliminary design parameters for a single-stage axial fan. The first option allows the designer the ability to design an axial fan using conventional blade-element design techniques. The second option enables the designer to search a database of previously designed fans for a set of scaled fans that will satisfy the current design point requirements. The designer can then refine one of the fans in this set to possibly improve the selected fan’s performance. The database of fans is utilized and maintained by FANDES and new fans are added at the user’s request. This allows for an intelligent program that is constantly learning from previous designs. As more fans are designed and saved to the database the design process becomes more of a selection and refinement process of previously designed fans.

scholarly journals АЛГОРИТМ ІНТЕГРАЦІЇ СИЛОВОЇ УСТАНОВКИ ПАСАЖИРСЬКИХ ЛІТАКІВ СЕРЕДНЬОЇ ДАЛЬНОСТІ

2020 ◽  
pp. 12-18
Author(s):  
Сергей Алексеевич Дмитриев ◽  
Александр Юрьевич Суровцев
Keyword(s):  
Power Plant ◽  
Subject Area ◽  
Propulsion System ◽  
Design Parameters ◽  
Complex Nature ◽  
Structural Level ◽  
Plant Design ◽  
Efficient System ◽  
Medium Range ◽  
Passenger Aircraft

A study on the integration of the propulsion system of medium-range passenger aircraft has been performed. The architecture of the power plant system and the system approach to power plant design are considered. The block division of the solved problems is offered – connected with a choice of schemes and the basic design parameters of aircraft with its power plant and integration of management. The influence of the power plant and elements of the glider on the choice of parameters of the working process and the scheme of the engine at the technological and structural level is considered. The model of research of the principle of the dependence of characteristics of the movement of the passenger aircraft on a level of integration of characteristics of its power plant is considered. Based on this model, an algorithm for increasing the efficiency of integration of the propulsion system of medium-range passenger aircraft is proposed. The study focuses on the consideration of the aircraft as a complex and highly efficient system that contains subsystems and components. Accordingly, the subject area of the study has a multifaceted complex nature and is presented taking into account the technological evolution of air passenger traffic, which has already reached a fairly high degree of development of the existing system architecture. The approach to the integration of the characteristics of the propulsion system of passenger aircraft is reduced to a multifaceted systematic consideration of the ICAO requirements for passenger aircraft, as well as the requirements for their certification. Aspects of modern scientific researches that are carried out in the field of modeling of synthesis of integration of characteristics of a power plant and accordingly are developed taking into account technological and design decisions concerning the improvement of the general architecture of the system in a foreshortening system are considered. Based on the calculations of the developed algorithm, the results of integration modeling are presented within the aerodynamic design of a passenger aircraft, compressors, and turbines. The diagram of efficiency of integration of power plant of medium-range passenger planes is given. The study demonstrated that at the technological and structural level, a generalized-integrated consideration of the power plant and glider elements, respectively, affects the choice of operating process parameters and engine scheme.

Optimum Condenser Cooling Water Temperature Rise in Power Plants

2003 ◽  
Author(s):  
Ram Srinivasan
Keyword(s):  
Power Plant ◽  
Water Temperature ◽  
Steam Turbine ◽  
Temperature Rise ◽  
Power Plants ◽  
Cooling Water ◽  
Design Parameters ◽  
Plant Design ◽  
Optimum Temperature ◽  
Cooling Water Temperature

The concept of optimum cooling water temperature rise in a power plant has been introduced in this study as that which corresponds to the highest possible net plant output. Every power plant having a steam turbine exhausting to a water-cooled condenser has a unique optimum cooling water temperature rise. This optimum temperature rise may not be the minimum possible as often inadvertently assumed by power plant designers. This optimum temperature rise is a strong function of the steam turbine exhaust parameters. The author has developed correlations, which will help determine the optimum temperature rise using easily available power plant design parameters. This paper will discuss the details behind this method and show the thermal and financial advantages of designing a plant with this concept. A proper understanding of this concept will enable power plant designers to economically and efficiently size the condenser cooling water system.

Exergetic Analysis of Combined Cycle Power Plant With Single Steam Extraction

2013 ◽  
Author(s):  
Nikhil Dev ◽  
Gopal Krishan Goyal ◽  
Rajesh Attri ◽  
Naresh Kumar
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Rankine Cycle ◽  
Combined Cycle ◽  
Design Parameters ◽  
Inlet Temperature ◽  
Combined Cycle Power Plant ◽  
Air Compressor ◽  
Turbine Efficiency ◽  
Steam Extraction

Combined Cycle Power Plant (CCPP) is one of the most efficient systems of energy conversion with different topping and bottoming cycles. One of the acceptable schemes, the combination of Brayton and Rankine Cycle, is analyzed for various design parameters. In the present analysis thermodynamic modelling of a CCPP with single steam extraction from bottoming Rankine Cycle is carried out to study the effect of Inlet Air Temperature (IAT), Cycle Ratio (CR), Turbine Inlet Temperature (TIT), air compressor and gas turbine efficiency on the first and second law efficiency. For parametric analysis computer programming tool Engineering Equation Solver (EES) is used and thermodynamic properties of many fluids and gases are inbuilt function of the software. From the results it is concluded that combustion chamber is the source of highest exergy destruction followed by heat recovery steam generator, gas turbine, air compressor and steam turbine. With increase in TIT, optimum CR is also found to be increased because both the gas turbine efficiency and the gas turbine exhaust temperature are increased for the optimum cycle ratio.

The Fault-Tolerant Generator for Vehicles with a Hybrid Power Plant Design and Optimization

2018 ◽  
Vol 13 (2) ◽  
pp. 107
Author(s):  
Flur Ismagilov ◽  
Vajcheslav Vavilov ◽  
Oksana Yushkova ◽  
Vladimir Bekuzin ◽  
Alexey Veselov
Keyword(s):  
Power Plant ◽  
Fault Tolerant ◽  
Plant Design ◽  
Design And Optimization ◽  
Hybrid Power ◽  
Hybrid Power Plant
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