This session addresses spatial and temporal modelling of renewable energy systems, both in a prospective as well as in a retrospective manner. Therefore, contributions which model the characteristics of future renewable energy systems are equally welcome as contributions assessing the characteristics of the past performance of renewable energies. Session contributions may reach from assessments of climate data based simulations of renewable generation, over assessments of land use implications of renewables, to economic assessments linked to spatial and temporal variability of renewables and full energy system model studies applied to understand energy systems with high shares of renewables.
Studies may for instance:
Show the spatial and temporal variability of renewable energy sources, including resource droughts and complementarity between technologies and locations.
Assess the resilience of energy systems to weather and climate extreme events, with a focus on infrastructure and resource adequacy, and analyze economic incentives to ensure reliable energy systems under current regulatory, market and tariff conditions.
Derive scenarios for the spatial allocation of renewable energies based on climatic, technical, economic, or social criteria.
Assess past spatial deployment patterns of renewables.
Assess past impacts on land cover and land-use, including impacts on biodiversity and other environmental indicators
Explore and quantify impacts of wind and solar PV power deployment on the social and natural environment in a spatially explicit way,including economic valuations of such impacts
Derive integrated scenarios of energy systems with high shares of renewables (Including systems from the local scale e.g. in form of local Energy Communities to the national or continental scale).
The objective of the session is to provide an insight into recent advances in the field of renewable energy system modeling. The session welcomes research dedicated to climatic and technical issues, assessments of environmental impacts, economic analysis of markets, policies and regulations, and forecasting applications , concerning renewable energy systems.
Studies may for instance:
Show the spatial and temporal variability of renewable energy sources, including resource droughts and complementarity between technologies and locations.
Assess the resilience of energy systems to weather and climate extreme events, with a focus on infrastructure and resource adequacy, and analyze economic incentives to ensure reliable energy systems under current regulatory, market and tariff conditions.
Derive scenarios for the spatial allocation of renewable energies based on climatic, technical, economic, or social criteria.
Assess past spatial deployment patterns of renewables.
Assess past impacts on land cover and land-use, including impacts on biodiversity and other environmental indicators
Explore and quantify impacts of wind and solar PV power deployment on the social and natural environment in a spatially explicit way,including economic valuations of such impacts
Derive integrated scenarios of energy systems with high shares of renewables (Including systems from the local scale e.g. in form of local Energy Communities to the national or continental scale).
The objective of the session is to provide an insight into recent advances in the field of renewable energy system modeling. The session welcomes research dedicated to climatic and technical issues, assessments of environmental impacts, economic analysis of markets, policies and regulations, and forecasting applications , concerning renewable energy systems.