Methodology for optimisation of operation to reduce site-scale energy use in production plants

Objective

Optimization methods for minimum energy usage at process plantscale has been a topic of R&D for the last ten years. Although the techniques are not always very well understood or have not been sufficiently disseminated, there is a big interest and need in site scale energy usage optimisation in industry : indeed there are enough arguments that show that the biggest benefits can only be achieved if the problems are tackled at that large scale. This project is a step in a long term R&D aiming to respond to this need. The objective is to develop a methodology to optimise site-scale energy usage in the process industry. Process plant and utility distribution network (heat, power, cooling) combined models will be linked with different optimisation methods to solve real industrial problems.

Mathematical models for process plants and energy supply systems will be built, assembled, and tuned on reconciled measurement data. New targeting techniques will be developed for energy network operation based on total site target concept.
Optimisation criteria will be stated to account for uncertainty at the operational level and in energy management. Several optimisation methods will be used and compared: mixed integer non linear programming, sequential quadratic programming, genetic algorithms. Existing software will be used as much as possible, prototype software for optimisation of site-scale energy usage will be developed. Implementation of a development environment will be started for integrated modelling, for stochastic optimisation, and for genetic algorithms based optimisation. All these aspects and techniques will be implemented in a new unified methodology. Industrial case studies will be conducted to validate the new methodology.

Fields of science

• natural sciences › computer and information sciences › software
• natural sciences › mathematics › applied mathematics › mathematical model

Programme(s)

• FP3-JOULE 2 - Specific research and technological development programme (EEC) in the field of non-nuclear energy, 1990-1994

Topic(s)

• 040201 - Industry

Call for proposal

Data not available

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

Belsim SA

Address

Domaine Universitaire Sart-tilman
4000 Liège
Belgium

Links

Participants (7)

HENKEL KGAA

Germany

Address

Henkelstrasse 67
40589 Düsseldorf

Links

IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

United Kingdom

Address

Prince Consort Road
SW7 2BY London

Links

Schering AG

Germany

Address

59179 Bergkamen

Links

TOTAL PETROCHEMICALS RESEARCH FELUY SA

Belgium

Address

Zone Industrielle C
7181 Feluy,arquennes

Links

UNIVERSITE DE LIEGE

Belgium

Address

B 6,campus Du Sart Tilman, B6a
4000 Liege

Links

UNIVERSITY OF MANCHESTER INSTITUTE OF SCIENCE AND TECHNOLOGY

United Kingdom

Address

Sackville Street
M60 1QD Manchester

Links

University of Patras

Greece

Address

Rion
26500 Patras

Links