A total of eleven Organisations, Institutes and Universities from all around Europe are involved in the REEEM project. One of these is KTH Royal Institute of Technology in Stockholm.
KTH is coordinator of the REEEM Consortium. With a total of almost 14,000 undergraduate students and more than 1,700 active postgraduate students, KTH is responsible for one third of Sweden’s capacity for technical research and engineering education. KTH is a lead partner in two program areas within the European Institute of Innovation and Technology (EIT): InnoEnergy and ICT Labs. Finally, KTH is involved in over 200 ongoing EU projects. As part of KTH department of Energy Technology, the main activities of the division of Energy Systems Analysis (KTH-dESA)
revolve around: development and application of open source energy modelling systems (like OSeMOSYS.org
), integrated modelling frameworks (like CLEWs – Climate, Land, Energy and Water strategies
) and electrification tools (like OnSSET.org
), to get insights towards the achievement of multiple Sustainable Development Goals. In the REEEM Project, KTH-dESA leads the Consortium, through the work of prof. Mark Howells, Coordinator of the project, and several researchers. KTH-dESA additionally leads WP1 of the project, dealing with ’Transformation Pathways and Strategies’, created a EU28+2 Energy System Engagement Model
, collaborated to the creation of the Energy Modelling Platform for Europe (EMP-E)
– which it currently maintains the online platform of - and collaborates to several additional activities.
The Environmental Management and Assessment Research Group is placed at the Department of Sustainable Development, Environmental Science and Engineering, KTH. We conduct research on sustainable planning and management of natural resources, developing methods and tools for related decision support. Within the REEEM project, we applied the Landscape Ecological Assessment (LEcA) tool
to simulate the forest development of Lithuania, from a bioenergy perspective, with impact assessment of an array of ecosystem services. This was compared and linked to pathways of forest bioenergy use projected by an energy model to detect opportunities for integrated modelling and sustainability assessment.