Published November 2011 | Version v1
Journal article

Utility systems operation: Optimisation-based decision making

  • 1. Berlin University of Technology, Department of Process Dynamics and Operation, Strasse des 17, Juni 135, 10623 Berlin (Germany)
  • 2. Centre for Process Integration and Intensification - CPI2, Research Institute for Chemical and Process Engineering, Faculty of Information Technology, University of Pannonia, Egyetem utca 10, 8200 Veszprem (Hungary)

Description

Utility systems provide heat and power to industrial sites. The importance of operating these systems in an optimal way has increased significantly due to the unstable and in the long term rising prices of fossil fuels as well as the need for reducing the greenhouse gas emissions. This paper presents an analysis of the problem for supporting operator decision making under conditions of variable steam demands from the production processes on an industrial site. An optimisation model has been developed, where besides for running the utility system, also the costs associated with starting-up the operating units have been modelled. The illustrative case study shows that accounting for the shut-downs and start-ups of utility operating units can bring significant cost savings. - Highlights: → Optimisation methodology for decision making on running utility systems. → Accounting for varying steam demands. → Optimal operating specifications when a demand change occurs. → Operating costs include start-up costs of boilers and other units. → Validated on a real-life case study. Up to 20% cost savings are possible.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.applthermaleng.2011.05.046

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2011.05.046;
PII
S1359-4311(11)00306-1;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
31
Journal Issue
16
Journal Page Range
p. 3196-3205
ISSN
1359-4311
CODEN
ATENFT

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44087264
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ACCOUNTING; BOILERS; COGENERATION; DECISION MAKING; FOSSIL FUELS; GREENHOUSE GASES; HEAT; OPERATING COST; OPTIMIZATION; PRICES; START-UP
Descriptors DEC
COST; ENERGY; ENERGY SOURCES; FUELS; POWER GENERATION; STEAM GENERATION

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.