forecasts and events from short-range events for operations Linkages between short term, seasonal predictions to seasonal time scales and maintenance seasonal and longer term climate Elicit expert technical needs for operations and knowledge Planning for operations maintenance (e.g. planning for Support targeted training and maintenance under variability, ranges, trends) future climate trends and projections Improved communication methodologies to effectively convey warnings at various lead times Energy Interpretation of trends in Historical data of Historical datasets of Modelling of interaction between Integration demand and relevant demand-related meteorological/climate meteorological/climate variables (Market meteorological/climate meteorological/climate variables relevant for and energy demand trading & variables variables demand, insurance and Insurance; energy efficiency Forecasting tools to improve Energy Seek energy market Analysis and forecasts of meteorologically-driven demand efficiency) operators’ opinions on role probabilities of extreme Historical datasets of (including trends and projections of meteorology and climate events from to energy demand longer into the future) in demand modelling sub-seasonal to decadal range (e.g. plan energy Model-based data to Investigation of relationship Collect experiences in infrastructure to meet extend observation between meteorological demand modelling and future trends in demand) records variables and energy efficiency compile database, analyses of buildings or other energy (e.g. forensic analyses) Short-term to seasonal Ancillary datasets such systems (includes longer term scale meteorological as shading, orientations seasonal and decadal trends) Analysis of correlation forecasts of sites and/or of building and energy between climatic indexes regions, including system response to Improvement of skill of and conventional power synoptic assessments weather variables to, especially, seasonal plant efficiency and safety forecasts targeted at regions Assessment of historical Historical energy trade where energy systems operate Increased interactions performance of data between energy to seasonal Tools to improve use of traders/insurers and forecasts Site-specific ground probabilistic information station data for for the exchange of Probabilistic triggering of weather Approaches to bridge time scales practices towards the processing of forecasts index insurance policies for decisions from weather development of improved forecasts to seasonal predictions
forecasts and seasonal predictions Elicit expert technical knowledge Support targeted training events from short-range to seasonal time scales Planning for operations and maintenance under future climate trends and projections events for operations and maintenance Linkages between short term, seasonal and longer term climate needs for operations and maintenance (e.g. planning for variability, ranges, trends) Improved communication methodologies to effectively convey warnings at various lead times Energy Integration (Market trading & Insurance; Energy efficiency) Interpretation of trends in demand and relevant meteorological/climate variables Seek energy market operators’ opinions on role of meteorology and climate in demand modelling Collect experiences in demand modelling and compile database, analyses (e.g. forensic analyses) Analysis of correlation between climatic indexes and conventional power plant efficiency and safety Increased interactions between energy traders/insurers and for the exchange of practices towards the development of improved Historical data of demand-related meteorological/climate variables Analysis and forecasts of probabilities of extreme events from to sub-seasonal to decadal range (e.g. plan energy infrastructure to meet future trends in demand) Short-term to seasonal scale meteorological forecasts of sites and/or regions, including synoptic assessments Assessment of historical performance of to seasonal forecasts Probabilistic of forecasts Historical datasets of meteorological/climate variables relevant for demand, insurance and energy efficiency Historical datasets of energy demand Model-based data to extend observation records Ancillary datasets such as shading, orientations of building and energy system response to weather variables Historical energy trade data Site-specific ground station data for triggering of weather index insurance policies Modelling of interaction between meteorological/climate variables and energy demand Forecasting tools to improve meteorologically-driven demand (including trends and projections longer into the future) Investigation of relationship between meteorological variables and energy efficiency of buildings or other energy systems (includes longer term seasonal and decadal trends) Improvement of skill of to, especially, seasonal forecasts targeted at regions where energy systems operate Tools to improve use of probabilistic information Approaches to bridge time scales for decisions from weather forecasts to seasonal predictions processing
2016.09.19%20IBCS-MC4-DOC%205.3%20ENERGY%20EXEMPLAR-draft1_en-1.docx