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Cost Estimation and Economic Analysis for Power Plants
The processes of power plant design, enlargement, and redesign must consider certain factors, such as technological scheme, basic cycle parameters, equipment configuration, and fuel type. These factors have long reached beyond the scope of the technical and physical, and must consider economic criteria. Economic indicators are fundamental when selecting a specific solution. Therefore, even at the initial stages of a project, engineering problems should be considered in parallel with the assessment of economic efficiency. In addition, a power plant is a very complex entity, and introductory capital costs cannot be the only economic criteria considered. The economic indexes over the entire lifecycle of the plant must be accounted for.
This webinar has passed but you can find the recorded version at learn.softinway.com
Thursday, January 21st, 2016 | 10:00 AM - 11:00 am EST (EDT)
The modern world has seen extensive investment in the field of cost estimation. The approximate estimation of cost and economic efficiency of a power plant, however, is a complicated and time-consuming process. It demands a high level of knowledge and information.
In order to simplify this process, and make it available for the engineering community, SoftInWay, a leading turbomachinery solutions provider, developed the new AxCYCLE Module for Economic Analysis. This webinar will demonstrate the module and discuss its extensive capabilities and applications.
The session will include:
- Introduction to the cost estimation of power plant design.
- Assessment of capital cost.
- Analysis of a power plant as an investment project (Net Present Value, Cash Flow, Payback Period, etc.)
- Usage examples of economic criteria and analysis for practical tasks (fuel type selection, comparisons of alternate projects, and estimation of different scenarios during the lifecycle)
- AxCYCLE as a tool for power plant cycle design and economic assessment, with a demonstration.
- Engineering professionals working with power plant, interested in improving the economic and total efficiency of their plant.
- Power plant managers and decision-makers looking to determine overall costs and potential areas of improvement.
- Engineering students studying power plant design, efficiency, and/or cost estimation.
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