Renewable Energy Systems
We work with projects that, directly or indirectly, contribute to reduced GHG emissions, both nationally or internationally.
The department works with scenario analysis and transition studies that map out different pathways the Norwegian and European energy system could follow over the coming years, focusing on policies, investments, technologies, and other choices that policy makers and other decision makers can influence.
IFEs energy systems analysis group develops various models to be able to analyze the development of the energy system. We work with long-term energy system models at a local, national and international level, focusing on cost-optimal investments & operation to meet the future energy demand at least cost.
We also work with short-term simulation models, focusing on optimal operation and profitability of local energy systems. The department works with scenarios that map out different routes the Norwegian (and European) energy system could follow over the coming years, focusing on policies, investments, technologies and other choices that decision makers can influence.
In the development of optimization models, we build on our long-term experience on energy system analysis and mathematical modelling. We take an active role in analysing possible pathways to a low carbon future, and we use modelling tools to analyse the impact of technology change, new technologies, flexibility in energy consumption, flexibility in energy service demand, new energy carriers, new forms of energy storage, sector coupling, political instruments, etc.
The analyses we perform are carried out to be able to make decisions about the energy system design and operation of various technologies and solutions (in short term) and to provide decision support for optimal investments (in long term).
Our analyses take into account uncertainty related to future energy demand, technology development and future policies in addition to considering the weather-dependent uncertainty of renewable electricity generation and temperature dependent demand (stochastic analysis). Our core competence is to analyse the interplay between different technologies, energy carriers, energy markets and sectors, and we use different analysis tools, models and methods for this.
Large scale energy system models
Researchers at ENSYS work with long-term energy system models at a local, national and international level, focusing on cost-optimal investments and operation to meet the future energy demand at least cost. The energy system model IFE-TIMES-Norway is a well-established model of the Norwegian energy system. The model is used to analyse cost-optimal development of the energy system with various assumption on future policies, demand projections, technology development etc. IFE-TIME-Norway is a technology-rich model divided into five geographical regions corresponding to the current electricity market spot price areas. The model provides operational and investment decisions of the whole energy system from 2018, towards 2050.
Local energy system models
Researchers at ENSYS work with models that provide insight into cost-effective design and operation for a single player in the energy system, such as for local energy systems in a building, or at a charging station, and often has a business perspective. We use short-term energy system models, focusing on optimal operation and profitability of local energy systems. We develop techno-economic optimization models for local energy systems, that can calculate cost-optimal dimension of distributed energy systems, including local power production, hydrogen systems, storage options and flexibility in end use demand.
Researchers at ENSYS work in the intersection between technology and society, and we work closely with social scientist to understand how to various actors behavior and acceptance of new technologies influence the transition to a low carbon future.
We also have close contact with those who work with technology and technology development, both internally at IFE, and externally, as we need to understand how to model various technological solutions.
The ENSYS department has broad international collaboration on the long-term energy systems modelling and are currently Operating Agent of the Technology Collaboration Programme IEA-ETSAP (www.iea-etsap.org).