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WP2 has three major objectives:

1.Develop/extend an existing disaggregation method aimed at converting Global Circulation Model (GCM) outputs with their coarse resolution into regional space-time patterns with a finer resolution adapted to Climate Related Energy (CRE) production processes. 

2. Model energy production from rainfall, wind and sun and its interaction with agriculture. This involves the choice and critical integration of existing models representing hydrology and hydropower production, electricity production from windmill and solar farms and the vegetation cycle under prescribed land-use and infrastructure policy. 

3. Analysis of the use of CREs in relation with climate change, evolution of energy demand, alternative energy equipment and environmental policies. The goal of the analysis is to detect/understand the space-time dependence between different energy sources driven by climatic variables and to assess possible positive/negative feedbacks. 

WP2 will develop a methodology able to detect/understand the space-time dependency between different energy sources driven by climatic variables and to assess its importance in regard of climate mitigation using CREs. It will also analyse co-variation among slow (equipment, management policy) and fast (meteorology, equipment operation) varying variables governing the use of CREs at regional scale. To illustrate the developed methodology, simplified case studies will be derived from examples taken in southern (Italy) and northern (Norway) European regions, which represent contrasting situations of climate change impact and mitigation.

Deliverables: