About me – Anders Avelin
In 2013 I was assigned the head of and lecturer at the Department of energy, building and environment within the School of business, society and engineering at MDH. Before that, I had quite a long experience from industry as consultant in energy engineering and as a power plant manager for a bio-fueled CHP-plant in Sweden. My research interest is in model based process control, and process and sensor diagnostics using dynamic process models on-line. Another field of interest is characterization of fuel properties by near infrared spectroscopy (NIR) and extensive combustion measurements on steam boilers. I am a member of Future Energy Center.
I received my master in energy engineering in 2000, and my PhD in energy and environmental engineering in 2015 – both at MDH.
Teaching and supervision
During 2013–2016 I have served as a lecturer in energy engineering. So far, I have been supervising about ten BSc and MSc theses, and co-supervising three PhD students.
My research in more detail
My research is mainly about the development and use of dynamic process models for optimizing industrial processes for energy saving, reducing harmful environmental impact and reducing chemical use. In order to reduce greenhouse gas emissions in industrial processes, in recent years the use of fossil fuels has been phased out and replaced by biomass. At the same time, industrial processes have become increasingly complex due to increased production pace and demand for profitability. In order to meet these demands, a higher degree of automation is needed, as the processes are often too complex to be manually managed. There is therefore a great need to find models that can automatically handle the challenges posed by biomass conversion in an industrial process, such as operating changes, component wear and driving sensors.
In my research, the advantages and disadvantages of different industrial systems have been investigated. Secondly, it's about investigating how to follow what happens inside a paper pulp cooker paper pulp is cooked to create paper and cardboard. This has resulted in different mathematical models describing what is happening inside the cooker. The use of mathematical simulation models can increase the benefit of both process data and process understanding, so that better diagnosis, regulation, and thus more efficient process optimization can be achieved. In the long term, this reduces harmful environmental impact due to saved energy and reduced chemical use. If knowledge is won of how the process looks and works, it can be optimized. The market is global with large volumes, so a possible production increase by only a few percent makes a huge difference. Moreover, the models are for online purposes, which imposes high demands on accuracy and detail.
|DIAGNOSIS||Framtidens energi||Konstantinos Kyprianidis||KK-stiftelsen|
|FUDIPO – FUture DIrections for Process industry Optimization||Framtidens energi||Erik Dahlquist||EU Horizon 2020 SPIRE-2|
|IOA – Implementering av automation||Framtidens energi||Erik Dahlquist||Framtidens energi, Mälarenergi, Eskilstuna energi och miljö|
|Smarta Flöden||Framtidens energi||Konstantinos Kyprianidis||Vinnova, PiiA|