Geographic information systems are well established tools for the identification of potentials and the selection of optimal locations for installing renewable energies. A high and increasing number of studies present indicators of resource availability such as the amount of available biomass, average wind speed, cumulated solar radiation and soil temperature. These studies range from the determination of merely theoretical resources potentials to combined technical, economic, environmental and social studies of the suitability of energy generation technologies (e.g. wind parks, photovoltaic installations and biogas/biomass facilities) and they have reached high spatial detail.
However, the consideration of the temporal variability of the energy demand and of highly fluctuating sources, such as wind and solar radiation, is a fundamental element that has been addressed only marginally in GIS-based approaches. The consideration of these fluctuations, however, is paramount to evaluating and designing spatially distributed energy systems with a high share of renewable sources. GIS-based models extended by the temporal dimension can be used inter alia to:
• dimension distributed renewable energy systems such as virtual power plants
• analyse interactions and proportions of renewable energy power plants in distributed renewable energy systems
• assess extreme production events and associated backup mechanisms
• calculate peak load offsetting and output variability reduction technologies for grid connected and off-grid renewable energy systems
• size and locate decentralized storage facilities
• plan multicarrier systems (heat-electricity, heat-cooling-electricity)
• assess impacts of the choice of locations on a wide set of indicators which can be linked to both system stability as well as environmental and land-use issues
The objective of the session is to provide an insight in recent advances in GIS-based modelling for addressing the above mentioned topics. The session is not limited to planning related contributions, but also welcomes papers dedicated to policy-making, forecasting and real time applications concerning distributed renewable energy systems.

Convener: Luis Ramirez Camargo | Co-conveners: Wolfgang Dorner, Johannes Schmidt
| Fri, 12 Apr, 14:00–15:45, 16:15–18:00
Room L2
| Attendance Fri, 12 Apr, 10:45–12:30
Hall X1

Friday, 12 April 2019 | Room L2

Chairperson: Johannes Schmidt
Integrated Model Analyses
14:00–14:15 |
| Highlight
Christian Mikovits, Johann Baumgartner, Johannes Schmidt, and Elisabeth Wetterlund
14:30–14:45 |
Vadim Vinichenko, Jessica Jewell, and Aleh Cherp
14:45–15:00 |
Reducing variability and turbines, increasing output: the potential for repowering US wind turbines
Peter Regner, Katharina Gruber, Johannes Schmidt, and Claude Klöckl
15:15–15:30 |
Marianne Zeyringer and James Price
Climate data based simulation of Renewables
Coffee break
Chairperson: Luis Ramirez Camargo
16:15–16:30 |
Katharina Gruber, Johann Baumgartner, Claude Klöckl, and Johannes Schmidt
16:30–16:45 |
Laurens Stoop and Karin van der Wiel
16:45–17:00 |
Johann Baumgartner, Johannes Schmidt, and Katharina Gruber
17:00–17:15 |
| presentation
Ulrich Reiter, Benjamin Sunarjo, and Martin Jakob
17:30–17:45 |
Mariela Tapia, Detlev Heinemann, Samkeyat Shohan, Jon Chu, and Edwin Zondervan