Industrial decision-making for energy efficiency – combining optimization and simulation
2011 (English)Conference paper (Refereed)
In recent years, there has been a worldwide focus on the issue of energy because of increased energy prices and the threat of increasing global warming. Furthermore, industries are facing greater competition as a result of increasing globalisation, which is forcing companies to reduce their expenses. Reducing the use of energy is therefore an essential task for the future as it has a positive impact on both the environment and the profits of any business. Reductions in energy demand can be accomplished by different means, such as investments in energy-efficient processes or load management. Analytical tools may be used to support the decision-making process, when choosing between a number of measures, and analysing the results can help to choose which changes should be made.
This paper studies two types of energy analysis tool: energy systems optimisation (ESO) and discrete event simulation (DES). The aim of this paper is to describe a method where a DES and an ESO tool are combined in order to study the potential energy and resource reduction in complex industrial energy systems. A case study representing a part of a dairy is also included to illustrate the use of the method. The system modelled includes a process where the durability or longevity of milk increases from a few days to 28 days by using steam injection.
The results from the case study show that the dairy has much higher potential production capacity than realised today. This also means that there is a potential to reduce the operation hours from a three-shift to a two-shift operation to meet the existing weekly demand. The analysis also shows that there are large potential reductions in both energy and other resources. The largest potential reductions are primarily from electricity and water. The combination of tools increases the reliability of the analysis and facilitates decision making in an industrial site.
Place, publisher, year, edition, pages
2011. 1442-1452 p.
Energy efficiency, Integration, Optimisation, Simulation
IdentifiersURN: urn:nbn:se:liu:diva-71877ISBN: 978-86-6055-016-5OAI: oai:DiVA.org:liu-71877DiVA: diva2:455163
24rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Novi Sad, Serbia, 4-7 July 2011