Type: Master project (30 credits)
Period: 2016 September- 2017 January
Industrial processes consume about 40% of the global heat production. Most of this heat (>2/3) is produced by fossil fuels leading to a considerable carbon footprint of the industry. By process intensification and optimization the heat consumption can be reduced. In order to define reasonable estimates of the saving potential of different sectors, data of adequate level of detail is required. Data from the industry directly is often difficult to retrieve and discuss due to confidentiality restrictions.
The european union has, therefore, published a complex and extensive body of work on the best available processing techniques and requirements (the BREFs) for all industrial sectors. This can be used as a basis for further studies on process intensification and optimization measures. The key question, however, is how to transform this elaborate body of work efficiently into typical sector specific profiles, such that these models can be treated by common process integration techniques.
The first part of this work aims at tackling the above mentioned question. A methodology for efficient typical industrial profiles derivation for process integration techniques is derived. The methodology is illustrated on a few selected sectors.
In the second part, further analysis is performed in order to quantify the potential improvements of different sectors based on the derived profiles. The goal is to identify synergies and heat recovery potential between different sectors and further optimization potential by e.g. waste heat recovery (with help of ORC) and heat pumping.
Mathematical programming and process integration techniques will be applied and the outcome will be integrated in the IPESE internal OSMOSE platform.
In this way, a general methodogy for industrial sector profile derivation and the available set of energy optimization and emission reduction options is developed and generalized conclusions can be drawn.
- Literature review: Industrial sectors, heat pumps, ORCs
- Method & industrial sector profile derivation
- Analysis: Synergies & optimization
- Good knowledge in process and process unit modelling;
- Solid background in thermodynamics
- Background and interest in optimization;
- Programming skills (e.g. Matlab, Lua, C++,…).
If interested, please take contact with Anna Wallerand attaching your CV and transcript of records.
 Based on data from IEA (internation energy agency) in 2012: Total heat consumption 2’475’585 TJ (2012), www.iea.org, accessed 02.06.2015