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Energy Conversion Technologies and Multi-Vector Systems

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

AI enabled Condition Monitoring and Fault Diagnostics for Distributed Energy Systems

Research fellow Kathryn Colquhoun is studying the use of data-driven methods, specifically Artificial Intelligence techniques, to improve the predictive capability of condition monitoring of small-scale Distributed Generation (DG) systems. This project will focus on monitoring and fault diagnostics of Micro Gas Turbine (MGT) systems, but the concept and know-how developed should be applicable to other small DG systems. Initially, data-driven techniques will be implemented and later, to improve the performance, hybrid techniques will be considered, which may include both data-driven and model-based techniques combined to perform fault diagnostics on a component and overall system level. Combining multiple methods in a hybrid structure will offset the limitations of using a single technique and thus improve accuracy of the fault-diagnostics procedure

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.

BHEsINNO - Innovation in Underground Thermal Energy Storages with Borehole Heat Exchangers

The project involves development of innovative structures of Borehole Heat Exchangers (BHEs). Structures tested as a part of the project will aim to maximize the energy effect (which is defined as a unitary power obtained in BHE, in Watt per meter). Innovative constructions include the pipe system in the borehole. New composite coaxial pipes system will be developed. Coaxial constructions will be analyzed and compared to the traditional, U-tube based ones. The coaxial construction gives possibilities use it in a borehole with greater depth than U-pipe design. Research methodology is based on mathematical modelling of an individual BHEs as well as fields consisting of multiple BHEs, taking into account their interference. Modelling will be verified by in situ tests on created BHEs. It is expected to conduct Thermal Response Tests (TRT) on every borehole. Next innovation is TRT results interpretation. TRT results will be interpreted using three methods. Additionally, thermal conductivity test will be conducted on minimum three Borehole Heat Exchangers.

Researchers: Hamidreza Jamshidnia, Post-Doctoral Fellow, Abbas Ahmed Abdelazim, Post-Doctoral Fellow

Agastor - Advanced Gas and Carbon Dioxide Storage in Aquifer

Carbon geological storage (CGS) as an element of the CCUS/CCS process is considered to be the most viable option for the storage of the large CO2 quantities needed to reduce global warming and related climate change effectively. Storage of natural gas and partially decarbonized gas (with addition H2) will play a vital role in the stability of energy supply in the EU. The innovative, guiding concept of the AGaStor project is based on synergy between natural gas storage and CO2 storage process in a location near captured CO2 emission sources (e.g. in NW Poland). The main objective of the project is to facilitate the implementation of advanced Underground Gas Storage (UGS) using dynamic support of Carbon Dioxide Cushion (CDC) in saline aquifers. The project will produce practical guidelines and solutions for characterization of possible storage sites of UNGS with CDC (3D architecture of the storage complex, trapping mechanisms, reactive flow, CO2/NG mixing process, risk assessment and sensitivity analysis) in selected regions of future deployment, improved monitoring and potential mitigation of CO2 leakage. Combining CO2 storage with UGS can bring economic and technological advantages to the industry and allow it to reduce the amount of anthropogenic emissions of CO2. This new CCUS element may be an element of pro-climate action. A key issue of the AGaStor project will be knowledge exchange and enhanced cooperation between the Polish & Norwegian partners to determine the best technologies & application in the energy systems of partner countries.

Researchers: Rockey Abhishek, Post-Doctoral Fellow, one other postdoc with SV, Post-Doctoral Fellow

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)


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

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