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Energy system analysis

The research is targeted at the transition to a sustainable future, including but not limited to, studies related to new technologies, process integration and policy measures, as well as to overall energy systems aspect on local, urban, national and supranational level.

Competence areas

Process analysis and integration

Research field: Development and application of systematic methods and tools to study the reasons for the results obtained in the evaluation of the performance indices (Pinch analysis, exergy analysis, thermo-economic analysis).

Research aims: Understand the critical design parameters that can be manipulated to achieve better performance according to the considered point of view.

Process modeling and simulation

Research field: Studies of energy systems, individual energy plants, components and sub-processes using models at different level of detail to retrieve the required information (ASPEN process modeling, MATLAB/Simulink, CFD, reMIND…).

Research aims: Evaluate the technological, economic, design and environmental impact of different technologies and provide information for systematic analysis methods and tools.


Research field: Application of algorithms to manipulate the structure and the parameters of the models; choice of the most appropriate algorithm for a specific optimization problem (mathematical programming, evolutionary algorithms and hybrid algorithms).

Research aims: Find the best configuration of energy system, individual energy plant or sub-process with respect to one or more objectives (multiobjective optimization with Pareto techniques).

Multi-aspect technology assessment

Research field: Assessment of energy systems and individual energy plants, with focus on emerging technologies and concepts, in terms of e.g. energy efficiency, economic viability (profitability and investment requirement), greenhouse gas performance, technology maturity (TRL), and production potential.

Research aims: Systematic evaluation of techno-economic and environmental performance of different technologies to provide knowledge and information for decision makers within e.g. policy-making and industry.

Spatial modeling and analysis

Research field: Cost-efficient localization of biorefineries and other energy plants with regard to energy demand, integration possibilities, plant sizes and logistics for raw materials and products, under medium- to long-term scenarios of socio-economic, technological and demographic factors.

Research aims: To understand opportunities and obstacles to reach renewable energy targets; opportunities for industrial transformation.

Regional systems analysis

Research field: Comprehensive cross-sectorial energy system optimisation modelling using TIMES based models. Providing local & regional governments with analysis of transition pathways to a carbon-neutral low-emission sustainable energy system. Strong focus on also transportation.

Research aims: Develop tools that can support municipalities and counties in their work of reaching ambitious emission targets and other sustainable development goals.

National systems analysis

Research field: Analysis of how limited resources can be allocated in order to minimize total system costs; Comprehensive cross-sectorial energy system modeling using TIMES-Sweden; Studies of future national energy development based on mediumto long-term scenarios of socio-economic, technological and demographic factors.

Research aims: Understand energy system change and development under different scenarios; Policy analysis; Environmental analysis; Decision support

Policy analysis

Research field: To examine and evaluate critical aspects of the energy transition by combining quantitative scenario analysis, using TIMES-Sweden, and qualitative analysis of barriers in implementing the cost-efficient pathways identified in the model generated scenarios.

Research aims: Evaluating current, proposed and other potential policies aimed to reach a sustainable energy system and carbon neutral society.