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Dynamic Optimization of District Energy Generation

[+] Author Affiliations
Scott J. Salsbery

University of Iowa, Iowa City, IA

Paper No. IMECE2011-62950, pp. 287-292; 6 pages
doi:10.1115/IMECE2011-62950
From:
  • ASME 2011 International Mechanical Engineering Congress and Exposition
  • Volume 4: Energy Systems Analysis, Thermodynamics and Sustainability; Combustion Science and Engineering; Nanoengineering for Energy, Parts A and B
  • Denver, Colorado, USA, November 11–17, 2011
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5490-7
  • Copyright © 2011 by ASME

abstract

The University of Iowa Power Plant operates utility generation and distribution for campus facilities, including electricity, steam, and chilled water. It is desirable to evaluate the optimal load combination of boilers, engines and chillers to meet the demand at minimal cost, particularly for future demand scenarios. An algorithm is under development which will take into account the performance of individual units as part of the mix which ultimately supplies the campus and determine the degree that each should be operating to most efficiently meet demand. The algorithm will be part of an integrated simulation tool which is specifically designed to apply traditional optimization techniques for a given (both current and possible) circumstance. The second component is to couple the algorithm with accurate estimates and historical data through which expected demand could be predicted. The process will be able to account for theoretical circumstances which will be highly beneficial for strategic planning. It is also necessary to determine the unique operating characteristics of the system components. The algorithm will rely upon performance curves of individual system components (boiler, chiller, etc) and those must be developed and refined when possible using the most accurate information from experimental testing and commissioning or manufacturer supplied data. The heuristics that will be examined include combinatorial approach, a gradient-based incremental method, and simulated annealing.

Copyright © 2011 by ASME

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