Skip to main content

Modeling, Simulation, Optimization, Management and Techno-economy

Energy transition towards clean, sustainable, and affordable energy solutions is on top of the global, national, and local agenda. ​

Publisert: Endret:


PhDs / Postdocs




Deep decarbonization of energy systems is a global challenge we face today, where use of innovative energy conversion technologies will play a central role.

Professor Mohsen Assadi

Next-MGT - Next Generation of Micro Gas Turbines for High Efficiency, Low Emissions and Fuel Flexibility

  • Cutting edge multidisciplinary R&D to make a step change in understanding of Micro Gas Turbines (MGT) systems’ technology and commercialization aspects to enable large increase in their share in the energy market and contribution to the low carbon economy while providing specialized training for 15 researchers to help establish the backbone of an important industry
  • A training program for highly skilled researchers that can contribute to development of cost effective and environment friendly distributed power generation technologies​
  • WP 3 leader - System Components Innovations and Integration with Energy Storage​
  • Development of low cost high performance electronic and control systems. Development of high performance compact and low cost recuperators using compressed metal foams. Development of energy storage concepts based on smart integration with MGT​

Research fellows at UiS

Reyhaneh Banihabib is an ESR with the NextMGT project who will investigates Development of real time smart data analytic tools for monitoring and optimum operation of MGT systems​.

This project will develop data analytic tools for condition monitoring and optimized operation of MGT systems in real-time applications allowed by dynamic modeling, intelligent methods as well as ICT solutions. The outcomes of the project are expected to lead to higher reliability and availability, higher operational efficiency, lower operational expenditure, and higher flexibility of the MGT system and those of the integrated energy systems. ​

Hasan Hüseyn Uslu is an ESR with the NextMGT project who will investigate Development of Innovative Techno economic analysis tools of MGT systems​.

The project aims to develop innovative tools for techno-economic evaluation of MGT systems building on existing models and integrate them with artificial intelligence for optimization of their technical-economic performance. This will suggest viable solutions for MGT applications in different scenarios, contributing to increased share of this flexible technology in the growing market of distributed generation and other applications.

Read more here!

ENSYSTRA - Energy Systems in Transition

Link to Ensystra page: ( )

Researchers: Abhinav Bhaskar, PhD Candidate, Qian Zhang, PhD Candidate

Green transition and sustainable development is all about using resources smarter and more efficiently. The researchers in the ENSYSTRA project seek to accelerate the transition to enable a more integrated mix of renewable energy.

The slow-moving development towards sustainable energy systems is not due to lack of technological solutions. It is rather economic, political and social factors that are to blame. Providing solutions that help the transition to move forward, requires close collaboration between engineers and social scientists. Only then can we avoid solutions that work technically but are not economically viable or socially acceptable.

Six UiS researchers participate in a research collaboration between six European universities and numbers of industry partners to educate highly qualified energy experts with the aim to provide Europe with more environmentally friendly energy systems. The goal is to find the most successful solution for developing a society with almost one hundred percent renewable energy. Energy and emission intensity of different pathways will be explored with the help of techno-economic and mathematical models. The findings will help in designing a more efficient and resilient energy system for the future.

The objective of this ENSYSTRA project is to identify the different pathways in which decarbonisation of the integrated energy system can be achieved.

Smart solutions for energy systems of the future

The goal of this project is to investigate tools and methods founded on artificial intelligence (AI) for monitoring, analysis and optimum design and operation of energy systems, mainly in buildings, both thermal and electrical and the coupling of them. Hence, the main objectives/targets of this Ph.D. project are:

i) to study advanced tools for real-time monitoring of energy systems;

ii) to analyse models to predict the production, demand, and states of energy systems;

iii) to evaluate how various energy resources, load profiles, and operating strategies affect the performance of multi-vector energy systems;

The work aims to address the following research questions:

i) In a multi-vector energy system consisting of heating, cooling, and power production technologies, how can the optimal operation of these technologies be determined?

ii) What are the effects of an AI-based energy management system for both demand and supply side control on different indicators such as district energy consumption, costs, and GHG emissions?

iii) How can an AI-based design and operation toolkit be developed to efficiently influence heating and cooling production of a heat pump system?

This Ph.D.-project is funded by the Research Council of Norway and Norconsult AS under the Industrial Ph.D. scheme, which is based on a company collaborating with a university or university college on a doctoral project. The two regional energy projects Triangulum Central Energy Heat Pump Plant and Elnett21 – an emission-free and electric transportation system serve as the main reference cases for the PhD work.

Researcher: Fredrik Skaug Fadnes, PhD Candidate (Industrial PhD, Norconsult AS)

Subsea Energy Storage – Industrial PhD

A concept for storing energy at the seabed using the principle of pumped hydro storage has been developed by Subsea 7. The concept will be further developed during this PhD project. Pumped hydro storage in itself is a mature technology but the system architecture for a subsea pumped hydro storage unit will need to be developed and analyzed. Certain advantages exist with a subsea energy storage, such as being able to store energy close to remote offshore locations, e.g. oil and gas installations, or renewable energy installations such as deep-water floating offshore wind parks which are currently under development. In addition, a cost-effective energy storage for subsea installation would mean that the ocean can be utilized for storing energy. The research work will include thermodynamic analysis, further development of the concept and identification of the technology gaps.

Researcher: Rasmus Juhlin, PhD Candidate (Industrial PhD)

Geothermal & waste heat

Geothermal energy is a renewable energy source available everywhere. The synergies between geothermal installations and petroleum engineering, in terms of knowledge about geology, drilling, well construction provides opportunity for knowledge transfer between these research fields. Using the knowledge from petroleum research will help to reduce the cost of geothermal energy installations. Research activities in this project will be focused on use of low temperature heat sources as driving force for space heating and cooling. Seasonal energy storage for optimized operation of geothermal installations will be studied, modeled and evaluated against experimental data from our test rigs.

Researcher: Thor Sazon, PhD candidate


Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Ekstern U/lønn
Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Faculty of Science and Technology

Department of Energy and Petroleum Engineering
Faculty of Science and Technology

Department of Energy and Petroleum Engineering

Related articles

Won their group in Drillbotics

Five UiS students made it all the way to the top in their group in the Drillbotics contest.

UiS team in the PetroBowl finals

Five petroleum engineering students from University of Stavanger reached the finals in the prestigous PetroBowl contest.

Top students win industry awards

Repsol, IKM Acona and Vår Energi awarded a total of nine prizes and NOK 275,000 to bachelor and master students at UiS.

Test facilities – Energy Systems Engineering

Distributed energy conversion technologies, using fuel flexible solutions, energy storage and smart technologies are ess...

Energy Systems Engineering – projects

Running research projects in the Energy Systems Engineering group.

Energy Conversion Technologies and Multi-Vector Systems

Energy transition towards clean, sustainable, and affordable energy solutions is on top of the global, national, and loc...

Energy Systems Engineering – collaboration

Our work connects researchers, educators and students at UiS with partners in industry, business and public sector with ...

Energy Systems Engineering – education

In this page you find the courses taught at University of Stavanger related to Energy technologies and system integratio...

Applied AI for Energy Systems Engineering​

We use state-of-the-art tools like advanced physical models, artificial neural networks, and integrated design, control ...

Energy Systems Engineering – research

The group focuses on developing innovative techno-economically sustainable solutions and has a broad network of academic...

Energy Systems Engineering

Energy transition towards clean, sustainable, and affordable energy solutions is on top of the global, national, and loc...

Awards to the best petroleum students

The best first year master students in petroleum geosciences and petroleum engineering got a well-deserved Christmas pre...

Applied AI and Digitalization in Drilling

The Applied AI and Digitalization in Drilling Group at IEP, Department of Energy and Petroleum Engineering at the Univer...

Department of Energy and Petroleum Engineering

The Department of Energy and Petroleum Engineering (IEP) conducts research within drilling and well engineering, energy ...

Applied AI and machine learning for energy and petroleum engineering

Due to an increase in the amount of data available through technological advancements, AI and machine learning approache...

Energy Engineering and Geoscience - PhD

Energy Engineering and Geoscience is a subfield within the doctoral programme in Science and Technology at UiS. The subf...