Energy Based Analysis of a Thermal Power Station for Energy Efficiency Improvement
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 3
Abstract
Despite of growth of renewable energy stations installations like wind, solar, Tidal power, the energy for the world depends heavily on fossil fuels for electricity generation. It is also expected to continue the dependence on fossil fuels for next few decades. Therefore, given the continued reliance on the fossil fuels for some time, it is important to note these plants must reduce their environmental impact by operating fossil fuels more efficiently. Two types of analysis namely, energy and exergy analysis can be developed for the system. Energy analysis based on first law of thermodynamics cannot be applied as it cannot justify the real useful energy loss because it does not differentiate between the quality and quantity of energy within the system. Whereas, exergy analysis will characterize the work potential of a system based on the second law of thermodynamics and the maximum work that can be obtained from the system when its state is brought to the reference or dead state (standard atmospheric conditions).This technical paper presents the results of exergy and energy analysis carried out on 62 MW coal-based thermal power plant to evaluate the performance. The performance of the plant was estimated by a component-wise modeling followed by a system simulation. A parametric study is conducted for the thermal plant under various operating conditions, including different operating condenser pressures, temperatures and flow rates of cooling water across the condenser etc, in order to determine which parameter that maximizes plant performance. Energy loss distribution to find out the amount and source of irreversibilities generated in boiler and turbine in a plant so that any process in the system having largest energy destruction can be identified and that helps the designer to re design the system components.
Authors and Affiliations
Dr. Mohammed Yunus1 , Mohammed Asadullah2 , Dr. Hamza A. Ghulman3 , Dr. J. Fazlur Rahman4 , Mohammed Irfan5
Keywords
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