Implementation of cost optimization and efficiency advisory software for power plant
Cost reduction and effective use of resources had been the key concerns of the power industry. As it looks for new ways to improve the power generation processes, one key area to work on would be to implement automated optimization to command the plant operations. Advanced controls would en...
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Format: | Final Year Project |
Language: | English |
Published: |
2010
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Online Access: | http://hdl.handle.net/10356/39673 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Cost reduction and effective use of resources had been the key concerns of the power
industry. As it looks for new ways to improve the power generation processes, one key
area to work on would be to implement automated optimization to command the plant
operations. Advanced controls would ensure that all components in the plant work at the
optimal level while fulfilling the output demand.
This final year project is an industrial project between Nanyang Technological University
and Division of Power and Waters solution, Emerson Process Management Asia Pacific.
The main objective of the project is to implement cost optimization and performance
calculations software for Ras Laffan C Independent Water and Power Project (IWPP), a
mega power generation (2730MW) and water desalination plant (63 MIGD) in Doha,
Qatar.
The Economic Optimizer (EO) and Global Performance Advisor (GPA) by Emerson are
the software used for the project. Economic Optimizer is an equation based, mathematical
simulation optimizing software, embedded with advanced controls built for power plant
operations. GPA is a real-time performance calculations software, which can communicate
with most Distributed Control Systems (DCS). Due to the level of difficulty involved, the
author was only assisting the engineering team in some areas of the optimizing work. His
main contribution was to organize design information and implement the performance
calculation software.
With these two software, drop in efficiencies of any major component would be identified
instantly and mitigated automatically, preventing losses of up to millions of dollars. This
continuing trend of automated optimization would likely expand to the power distribution
process and could even include consumers in time to come. An ideal scenario would be
realization of Smartgrid, which is the highlighted issue for power industries recently.
As of the time of this report submission, the proposed implementation and testing of
Economic Optimizer and GPA onsite has yet to be completed. However, it is assured that
the software will help to maintain high level of efficiencies for the plant, which can be
proven by the seven GPA test cases conducted. |
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