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Optimization of electricity make/buy decisions for Purdue’s wade power plant.

Number: pap. 3360

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

Summary

The Wade power plant at Purdue University produces chilled water, steam and electricity using CCHP (Combined Cooling, Heating and Power) systems to meet the campus cooling, heating and electricity demands. Steam generated from utility boilers is not only distributed through a steam tunnel system for campus heating but also used for power generation, chilled water production and in-plant auxiliary usage. Chilled water is generated using both steam driven chillers and electric chillers and is delivered through a closed water circulation loop to campus to meet the timevarying cooling demand. The electricity generated using two steam turbine driven generators provide 30-50% of the electricity required to meet campus needs. The remainder of the electricity is purchased from the local electric utility and includes a real-time pricing component that varies with time. Plant primary energy use and costs depend on decisions regarding generation and/or purchase of electricity in response to time varying prices, loads and environmental conditions. The operational staff tries to make decisions that minimize operating costs while meeting campus electricity, heating, and cooling demands but only have limited analysis tools for making those decisions in real time. This paper presents an approach for optimizing the operation of the CCHP system using a multimodal genetic algorithm based on load forecasts and fuel pricing along with a model of the plant. The tool is used along with the assumption of perfect forecasts to evaluate the benefits of optimal control for the Purdue CCHP plant as a function of different (possibly future) utility rate incentives.

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Format PDF

Pages: 11 p.

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Details

  • Original title: Optimization of electricity make/buy decisions for Purdue’s wade power plant.
  • Record ID : 30019265
  • Languages: English
  • Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Publication date: 2016/07/11

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