Benefits of integration of energy systems optimization and discrete event simulation
(English)Manuscript (preprint) (Other academic)
Due to increases in energy prices in recent years and the threat of global warming, closely related to energy use, energy issues have been brought to the fore worldwide. Furthermore, due to increased globalisation, industries are facing greater competition that is pressing companies to reduce their costs. Energy efficiency is therefore an essential task for the future as it has a significant impact on both the environment and business profits. Different means exist to accomplish a reduction in energy costs, for example, investments in energy efficiency and load shaping. To analyse the results of such changes and provide support when choosing between different measures, different modelling tools can be used. This paper describes Energy Systems Optimisation (ESO) and Discrete Event Simulation (DES) tools and illustrates how an ESO tool and a DES tool can be applied in combination using two simplified case studies. The focus will be on the interactivity analyses between methods and how they provide the user with additional information regarding energy efficiency measures. In the first case, results from the ESO model are simulated to investigate whether the results can be applied in reality. In the second case, the results from the DES model from three different investment alternatives are used as input data to the ESO model to investigate which alternative gives the maximum process utilisation, lowest environmental impact and lowest system costs. Using these tools together improves overall process utilisation and helps provide the analysis with more information than if the tools are used separately.
Energy efficiency; Integration; Optimisation; Simulation
IdentifiersURN: urn:nbn:se:liu:diva-84642OAI: oai:DiVA.org:liu-84642DiVA: diva2:560907