Pr. Mohsen Assadi

University of Stavanger, Norway


Talk Title
Energy system integration and the role of artificial intelligence
Talk Abstract

Centralized large scale power generation units have been the back bone of the existing fossile fuel based energy systems. Centralized solutions enalble local access to highly skilled experts for operation and maintenance of the plants. However, deeper penetration of renewable energy solutions require implementation of the distributed generation. Since access to highly soficticated experts for operation, monitoring, optimization and maintenance of distributed uints is not economically feasible, optimum integration and operation of the virtual power plant that integrates the numerous distributed unites is required. Availability of affordable sensors and high speed data communication have paved the way for local installations utilizing the currently available digitalization and artificial intelligence (AI) based solution. 

The AI-based operation and monitoring systems have shown to be effective and affordable solutions for small scale distributed energy systems. However, efficient and reliable operation of the renewable energy based systems require more sufisticated system integration approaches enabling operation of the integrated system as a “virtual plant”. The development and demonstration of AI-based monitoring and control systems have so far been focused on an architecture that receives plant data from each unit at a central hub, where the data is processed and the necessary corrections are communicated with the units. It is obvious that growing number of distributed unites will result in congestion problem for data transfer and difficulty for realtime analysis and optimization of the integrated energy system. Therefore, tailor made intelligent monitoring systems need to be installed at unit level, where all needed analysis are carried out locally and only high value data/information, necessary for optimization of the integrated virtual plant are communicated to the central hub. This would solve both the congestion problems and enhace the real time monitoring and optimization of the operation. Realization of such integrated virtual power plants require standardization of the instrumentation, data filtering and processing, local level graphical interface for communication with non-expert owners and operators and finally safe and secure information exchange at global level. Since multi disciplinary collaboration and information exchange is needed for realization of these renewable based virtual power planst, one needs to adjust the existing research and educational systems to be able to deliver the final reliable, safe and affordable solutions.

Short Biography

Professor Mohsen Assadi is the chair of gas technology at University of Stavnager, Norway, since 2007. He is responsible for energy related education and research. Assadi received his MSc and PhD from Lund University, Sweden and was chair of thermal power engineering there between 2006 to 2012. Assadi was also the director of center for sustainable energy solutions at University of Stavanger between 2009-2014, and he is currently leading the program area for geothermal energy at University of Stavanger.

Professor Assadi is visiting professor at City University London, UK, and has been visiting professor at University of Leeds and University of Sheffield in UK.

His main fields of research are environmental friendly energy technologies, comprising energy system modelling, integration, and optimization; carbon capture and storage (CCS); energy conversion technologies, such as gas turbines, fuel cells and steam cycles utilising various fossil and renewable energy sources; power plant monitoring and data driven modeling based on Artificial Neural Networks (ANN).

Professor Assadi has been involved in design, instrumentation, installation, testing and operation of turbomachinery laboratories at Lund University, Sweden, and Risavika Gas Center, Norway. He has been leading several European and national funded research projects and has supervised ca. 20 PhD students.

Talk Keywords
Distributed generation, system integration, artificial intelligence, monitoring and control.
Target Audience
Students, Post doctoral, Industry, Doctors and professors
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