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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:

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

(www.nextmgt.com)

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

Reyhaneh’s project:

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’s project:

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.

ENSYSTRA - Energy Systems in Transition

Link to Ensystra page: (www.ensystra.eu )

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

Qian’s project:

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.

Abhinav’s project:

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.

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)

Researchers

Faculty of Science and Technology



Department of Energy and Petroleum Engineering
Stipendiat
Faculty of Science and Technology



Department of Energy and Petroleum Engineering
Stipendiat
51832841
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
Stipendiat

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