Asee peer logo

Electric Demand Reduction For Industrial Plants

Download Paper |

Conference

1996 Annual Conference

Location

Washington, District of Columbia

Publication Date

June 23, 1996

Start Date

June 23, 1996

End Date

June 26, 1996

ISSN

2153-5965

Page Count

7

Page Numbers

1.178.1 - 1.178.7

DOI

10.18260/1-2--6009

Permanent URL

https://peer.asee.org/6009

Download Count

627

Request a correction

Paper Authors

author page

L. Christopher Komo

author page

John W. Sheffield

author page

E. Keith Stanek

author page

Burns E. Hegler

Download Paper |

Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

I --- . Session 3233

Electric Demand Reduction for Industrial Plants

L. Christopher Komo, E. Keith Stanek, Burns E. Hegler, and John W. Sheffield University of Missouri - Rolls

Abstract

This paper will describe the development of a methodology which can be used to estimate the electric demand reduction due to the use of high-efficiency equipment in an industrial setting. This demand reduction is dealt with on a separate basis from the energy savings attributed to these high-efficiency devices. A summary of the loads surveyed will be presented to give the reader an idea of the scope of this project. A computer program has been written to aid in the calculation process which is described and sample results demonstrated.

Energy efficient equipment and techniques have been used since the original “energy crisis” of the 1970s. Some replacement equipment includes high-efficiency motors, cogged V-belts, high-efficiency lighting, electronic ballasts, and other energy conservation measures. In some instances, industries have been encouraged to use energy conservation by utilities that desire to control demand levels so expansion in capacity can be delayed. Industries have benefited from these measures by reduced utility bills and, in some cases, rebates have been received from the utility to reduce initial capital costs. This paper will address how peak demand can be reduced by the use of energy efficient equipment. On a per device level, “electric demand is the average load a device imposes on a system during an interval.”[ 1 ] The interval can be 15, 30, or 60 minutes or any other predetermined time. From a utility standpoint, demand is the “generation capacity utilized during the billing period .’’[2] Billing for the demand is oflen determined by the peak interval demand that a plant incurs during the billing month. Some utilities bill according to the peak demand over a season or for an entire year. Demand billing is used by the utilities under the rationale that “the utility must have available to the customer some maximum demand capacity even if the customer does not utilize that capacity in any given month”[2]. Utilities generally monitor electric demand at the point of service to the industrial plant. In this respect, the plant could be considered to be black box to the utility since the utility usually is not aware of the devices that contribute to the billing demand - only that the demand is there. Since the demand is measured at a plant’s service point, the measured demand is the sum of demands of individual equipment taken during each demand interval. This is referred to as the coincident demand over each interval.

.- . . . . $!iiiii 1996 ASEE Annual Conference Proceedings } ‘.,J~ylm&.:

Komo, L. C., & Sheffield, J. W., & Stanek, E. K., & Hegler, B. E. (1996, June), Electric Demand Reduction For Industrial Plants Paper presented at 1996 Annual Conference, Washington, District of Columbia. 10.18260/1-2--6009

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 1996 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015