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Econometric and environmental optimization of combined cooling, heating and power plant operation.

Number: pap. 3649

Author(s) : RAMARAJ S., BRAUN J. E., HORTON W. T.

Summary

Combined Cooling, Heating and Power (CCHP) systems have great potential to recover low-grade thermal energy, resulting in higher energy efficiency, reduced emission rates, lower operating costs and a higher level of energy security. Effective optimization and control strategies are required to fully realize the benefits of CCHP systems in terms of reduced cost and carbon dioxide emissions. This work presents an approach for optimizing the operation of a campus CCHP system using a detailed network energy flow model solved by a genetic algorithm. The optimal energy dispatch algorithm provides operational signals associated with resource allocation ensuring that the systems meet campus electricity, heating, and cooling demands. The performance of the CCHP system is compared and evaluated in terms of economic and environmental benefits. This gives the decision maker more flexibility to examine and make clear judgement on the trade-offs involved between conflicting objectives for providing efficient and clean energy during the planning horizon. Example optimizations on cost and carbon dioxide emissions (CDE) were performed for a 24-hour period with known cooling, heating, and electricity demand on Purdue’s main campus, and based on actual real time prices (RTP) for purchasing electricity. The results suggest there exists a potential cost savings up to 14% when optimized for cost, and emissions reduction up to 30% when optimized for CDE compared to the current CCHP operation. Sensitivity of the optimized results to the cost of purchased electricity and CO2 emissions factor were performed to illustrate the operational switch between steam and electric driven components that occurs for optimal operation.

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Pages: 12

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Details

  • Original title: Econometric and environmental optimization of combined cooling, heating and power plant operation.
  • Record ID : 30025056
  • Languages: English
  • Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Publication date: 2018/07/09

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