Running research projects in the Energy Systems Engineering group.
ENSYSTRA - Energy Systems in Transition
Researchers: Abhinav Bhaskar, PhD Candidate, Qian Zhang, PhD Candidate
The overall aim of this project is to provide a generic approach for optimum management of energy systems using the combination of artificial intelligence techniques and physics-based modeling, in terms of energy, economy, and the environment.
The project aims to develop a techno-economic analysis of the feasibility of innovative production technologies for decarbonizing the energy intensive industries in the North Sea region. This encompasses conceptual process modeling, economic modeling, uncertainty analysis, optimization (mathematical modeling), and energy system modeling.
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
Researchers: Reyhaneh Banihabib, PhD Candidate, Hasan Uslu, PhD Candidate
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.
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.
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
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.
AI-GT, PhD project
Research fellow Kathryn Colquhoun will mainly explore data-driven methods (ANNs, DL, FL etc.) which could be used to conduct performance monitoring and fault diagnostics of micro gas turbines and arranging these in a hybrid structure to optimise the performance of the fault diagnostic model.
Researcher: Kathryn Colquhoun, PhD Candidate
Smart solutions for energy systems of the future
Fredrik Skaug Fadnes is an industrial PhD whose project is on artificial intelligence based and data driven modelling of a central thermal energy plant’s operational conditions. The plant represents a Multi-Vector Energy System, consisting of several renewable production units with a complex interaction, sewage heat pumps for heating and cooling production and solar collectors, a biogas boiler and heat recovery from shower wastewater for heating and hot domestic water production. The models will be used to investigate if the operation of the plant can be optimized regarding operational cost, GHH emissions and energy or peak load consumption. The project will investigate how to design and specify future thermal energy plants prepared for AI-based control and operation. Other reference projects may include the energy project Elnett21 at Stavanger airport and the new Airport in Bodø, which Norconsult is currently developing for Avinor.
Researcher: Fredrik Skaug Fadnes, PhD Candidate (Industrial PhD)
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