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Power plants parameters

Figure 18.2 shows the current and projected electricity generation capacity by fuel type. Table 18.1 lists typical power plant parameters for facilities using different fuel types. Current power generation is dominated by thermal processes that use the action of heat generated by either renewable or nonrenewable fuels on a working fluid to drive a turbine. This includes fossil fuel combustion, nuclear fission, biomass combustion, geothermal extraction, or solar-thermal collection. [Pg.486]

In preparing input data for analysis, allowance should be made not only for the nominal values of nuclear power plant parameters but also for their deviations within the process tolerance range. It is also necessary to take into account possible deviations in the boundary conditions, such as system set points and characteristics. [Pg.37]

Fig.7 600 MW ENEL power plant, unit 3. Monitoring period from 22-01-1997 to 03-03-1997. Fig.7a Main plant parameters and cumulative AE events vs time Fig.7b AE RMS values vs time... Fig.7 600 MW ENEL power plant, unit 3. Monitoring period from 22-01-1997 to 03-03-1997. Fig.7a Main plant parameters and cumulative AE events vs time Fig.7b AE RMS values vs time...
Parameter Conventional steam power plant MHD- Eady -Steam power plant Advanced... [Pg.422]

Fig. 19-13. Three-parameter averaging-time model fitted through the arithmetic mean and the second highest 3-hr and 24-hr SOj concentrations measured in 1972 a few miles from a coal-burning power plant. Source From Larsen (21). Fig. 19-13. Three-parameter averaging-time model fitted through the arithmetic mean and the second highest 3-hr and 24-hr SOj concentrations measured in 1972 a few miles from a coal-burning power plant. Source From Larsen (21).
High availability and reliability are the most important parameters in the design of a gas turbine. The availability of a power plant is the percent of time the plant is available to generate power in any given period. The reliability of the plant is the percentage of time between planed overhauls. [Pg.13]

If a life cycle analysis were conducted the new costs of a plant are about 7-10% of the life cycle costs. Maintenance costs are approximately 15-20% of the life cycle costs. Operating costs, which essentially consist of energy costs, make up the remainder, between 70-80% of the life cycle costs, of any major power plant. Thus, performance evaluation of the turbine is one of the most important parameter in the operation of a plant. [Pg.692]

It is very important to form a base line for the entire power plant. This would enable the operator to determine if the seetion of the plant is operating below design eonditions. The following performanee eurves should be obtained either from the manufaeturer or during aeeeptanee testing so that the in-depth study of the parameters and their interdependeney with eaeh other ean be defined ... [Pg.706]

This section deals with the equations, and techniques used to compute and simulate the various performance and mechanical parameters for the gas turbine power plant. The goals have been to be able to operate the entire power plant at its maximum design efficiency, and at the maximum power that can be obtained by the turbine without degrading the hot section life. [Pg.707]

The HTGR designed by the General Atomic Company and constructed at Peach Bottom, Pennsylvania, U.S.A., was a 40 MW(e) experimental power plant which was similar in many respects to the Dragon reactor. Peach Bottom started commercial operation on June 1, 1967, and ceased operation on October 31, 1974 [36]. The major performance parameters of the Peach Bottom Reactor are shown in Table 8. [Pg.448]

Woods, D. D., Wise, J. A., Hanes, L. F. (1981). An Evaluation of Nuclear Power Plant Safety Parameter Display Systems. In Proceedings of Human Factors Society 25th Annual Meeting. Santa Monica, CA Human Factors Society, Inc. [Pg.376]

Three major contributors are considered in the computation of the COE for a fuel cell power plant 1) capital cost, 2) fuel cost and 3) operation and maintenance costs. The cost of electricity ( /MWh) can be calculated using these parameters as follows ... [Pg.318]

The production of electrical energy by storage power plants constitutes the dominant form of water use in the alpine region. Since the use of water by these types of power plants can have a significant impact on runoff characteristics and hence on a wide range of other parameters for rivers and streams, the issue is examined in more detail in the following section. [Pg.74]

A method is given for predicting the costs of large evaporative type natural and mechanical draft cooling towers as functions of the main design parameters. The costs and parameter factors are expressed analytically for use in power plant optimization programs. 3 refs, cited. [Pg.305]

The system s hydraulic resistance, mainly the absorption device, is a very important parameter affecting the economic index of the technology because a huge amount of flue gas is emitted from the power plant. To evaluate the hydraulic resistance of the equipment, the pressure drop Ap, between Points A and B shown in Fig. 7.11, is measured in each run. [Pg.174]

Process-scale models represent the behavior of reaction, separation and mass, heat, and momentum transfer at the process flowsheet level, or for a network of process flowsheets. Whether based on first-principles or empirical relations, the model equations for these systems typically consist of conservation laws (based on mass, heat, and momentum), physical and chemical equilibrium among species and phases, and additional constitutive equations that describe the rates of chemical transformation or transport of mass and energy. These process models are often represented by a collection of individual unit models (the so-called unit operations) that usually correspond to major pieces of process equipment, which, in turn, are captured by device-level models. These unit models are assembled within a process flowsheet that describes the interaction of equipment either for steady state or dynamic behavior. As a result, models can be described by algebraic or differential equations. As illustrated in Figure 3 for a PEFC-base power plant, steady-state process flowsheets are usually described by lumped parameter models described by algebraic equations. Similarly, dynamic process flowsheets are described by lumped parameter models comprising differential-algebraic equations. Models that deal with spatially distributed models are frequently considered at the device... [Pg.83]

At the process level, efficient flowsheet optimization strategies based on lumped parameter models are now widely used in practice (Biegler et al., 1997). At this scale, the PEFC is embedded within a power plant flowsheet model, as shown in Figure 3. The process comprises... [Pg.102]


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