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.2011.05.046Additional 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.