Study on the potential of cogeneration in Thailand pulp and paper industry

By: Call Number: AIT Thesis no.ET-95-06 Contributor(s): Material type: TextSeries: Asian Institute of Technology. Thesis ; no. ET-95-6Publication details: Bangkok : Asian Institute of Technology, 1995Description: 156 leaves + 1 online resourceSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asain Institute of Technology, 1995 Summary: Long term optimization by mean of technical, economic and financial analysis of energy supply system for four factories shows that steam turbine cogeneration is the best solution for paper factory among four demonstrated alternatives (steam turbine cogeneration, gas turbine cogeneration, diesel generator with waste heat boiler and low pressure boiler with external electricity supply) Economic and financial evaluation also shows that self generated electricity is cheaper than that supplied from EGAT. This result also exists in other three alternatives. Linear programming was applied to short term optimization by assigning maximization of net benefit as an objective function. There results in acceptable level of accuracy by using this technique. Linear programming is one of a suitable solution for supply level optimization especially in the existing system.
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A thesis submitted in partial fulfillment for the degree of Master of Engineering

Thesis (M.Eng.) - Asain Institute of Technology, 1995

Long term optimization by mean of technical, economic and financial analysis of energy supply system for four factories shows that steam turbine cogeneration is the best solution for paper factory among four demonstrated alternatives (steam turbine cogeneration, gas turbine cogeneration, diesel generator with waste heat boiler and low pressure boiler with external electricity supply) Economic and financial evaluation also shows that self generated electricity is cheaper than that supplied from EGAT. This result also exists in other three alternatives. Linear programming was applied to short term optimization by assigning maximization of net benefit as an objective function. There results in acceptable level of accuracy by using this technique. Linear programming is one of a suitable solution for supply level optimization especially in the existing system.

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