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Title: Combined pinch and exergy analysis for commercial power plant design
Author: Zheng, J.
ISNI:       0000 0004 2700 8491
Awarding Body: The University of Manchester
Current Institution: University of Manchester
Date of Award: 1996
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This thesis addressesth e analysisa nd design of commercial power plants by using the Combined Pinch and Exergy Approach. Current practice in design for commercial power plants heavily relies on experience and computer simulation and lacks systematic design methodologies. On the contrary, Pinch Technology allows systematic and generic approaches to chemical process design in which targets are set prior to design. These approaches can address issues related to process integration and optimisation. This thesis exploits the analogy between power plant design and chemical process design and applies the philosophy of Pinch Technology to the field of power plant design. In this thesis, the "onion" model used to represent the hierarchy of chemical process design is applied to power plant design. This model decomposes the whole design problem into three relatively simple tasks, including turbine system selection, heat exchanger network (HEN) design and fuel supply determination. Complex interactions exist between these individual components. To describe the complex interactions between the different components, a qualitative tool called the Combined Pinch and Exergy Representation (CPER) has been developed. The CPER allows engineers to visualise the overall performance of a power plant and the interactions between components. This diagram can also help engineers to screen design options. A quantitative tool, called the shaftwork targeting approach, has been developed in this thesis to evaluate each possible design option and identify the most promising one ahead of detailed simulation and designA tool called the Exergy Remaining Problem Analysis (ERPA) has been developed to guide HEN design. This allows the design to achieve the shaftwork targets. By evaluating the impact of individual matches on the remaining problem, the ERPA can determine the influence of individual matches on shaftwork generation. By detecting inappropriate matches, the ERPA can ensure that the HEN design meets the shaftwork targets. Based on the "onion" model of power plant, a systematic and generic approach to power plant design has been developed. In this approach, power plant design starts with the turbine system, then moves to the heat exchanger network and the fuel supply. This approach is entirely general which can be applied for design of different power plants. The significance of the new approach is that it enables engineers to screen possible design options with physical understanding and identify the most promising design option ahead of detailed simulation and design. This speeds up the overall design process and ensures that an optimal solution is obtained. vi
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available