Performance Modeling of a Legacy Cogeneration Plant

Authors

  • G. Loren Toole os Alamos National Laboratory
  • Russell Muschick Westinghouse Savannah River Company
  • Louis Wilder Los Alamos National Laboratory
  • Richard Crane ANB Enterprises, Inc.

DOI:

https://doi.org/10.13052/dgaej2156-3306.2044

Abstract

This article will discuss the derivation and use of a performance
model, which represents both steam and electric thermal plant cycles of
a cogeneration plant. The plant is rated at 58.2 MW electric and 350 kpph
steam output; it utilizes four boilers and six back pressure turbines and
was commissioned in 1950. The host site is a legacy Department of En-
ergy (DOE) complex facility located in the Southeast United States. This
complex, which covers an area of 310 square miles, serves as a nuclear
materials processing center for the DOE and employs over 10,000 people.
The primary focus is OPTIM, a spreadsheet based economic model
that incorporates a detailed thermal performance map, fixed and vari-
able operating costs and electrical purchase contract costs. It can be used
to estimate as well as optimize plant running costs accrued by serving
the site’s steam and electrical demands. This ability allows OPTIM to be
used for the analysis of daily economic dispatch or to evaluate various
operating strategies for providing future steam and electrical demands.
A sample application of OPTIM related to operating strategies is dis-
cussed.

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Author Biographies

G. Loren Toole, os Alamos National Laboratory

G. Loren Toole serves as a team leader in the infrastructure assur-
ance program for Los Alamos National Laboratory, Los Alamos, NM. Mr.
Toole received his B.S. and M.S. (power systems) degrees in electrical
engineering from Georgia Tech. His professional experience includes
over 25 years in the promotion of utility-related projects. His technical
interests include load forecasting and energy marketing strategies.

Russell Muschick, Westinghouse Savannah River Company

Russell Muschick, P.E. serves as a principal engineer for the site
utility department, at the Savannah River Site, Aiken, SC. Mr. Muschick
received his B.S. in mechanical engineering from Clemson University
and he is a registered Professional Engineer in South Carolina and North
Carolina. His professional experience includes work in nuclear and fossil
power stations and strategic planning to ensure the reliable and cost
effective operation and development of electrical generation assets.

Louis Wilder, Los Alamos National Laboratory

Louis Wilder serves as a technical staff member at Los Alamos. Mr.
Wilder received his B.S. in computer science from the University of
Idaho. He served as a process control systems consult to Omaha Public
Power District and Florida Power & Light, while working for Energy
Incorporated International.

Richard Crane, ANB Enterprises, Inc.

Richard Crane (deceased) served as an energy consulting associate
with ANB Enterprises, Inc. and an independent energy consultant. Mr.
Crane received his B.S. and M.S. in mechanical engineering from Drexel
University. His professional experience included 30 years in several en-
ergy related areas, including energy planning, nuclear system safety and
energy system modeling.

References

(1) “Optimizing Cogeneration in Industrial Plants for Energy Efficient

Operation,” A. Sommer, M. Keyes, A. Kaya, Cogeneration Sourcebook,

Fairmont Press (1985). pp 53-68.

(2) “Optimum Operation for a Back Pressure Cogeneration System

Under TOU Rates,” B.K. Chen and C.C. Hong, IEEE Transactions

on Power Systems, Vol. 11, No. 2 (May 1996). pp 1074-1082.

(3) “Simplified Operator Guidance for a Cogeneration Plant,” G. Toole,

R. Muschick, S. Balakrisshnan and D. Folsom, PowerGen‘99 Pro-

ceedings (Dec. 1999). Orlando, Florida.

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Published

2005-10-20

How to Cite

Toole, G. L. ., Muschick, R. ., Wilder, L. ., & Richard Crane. (2005). Performance Modeling of a Legacy Cogeneration Plant. Distributed Generation &Amp; Alternative Energy Journal, 20(4), 37–43. https://doi.org/10.13052/dgaej2156-3306.2044

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Articles