1. PCWG 9 th Meeting: 12 December 2014 - Glasgow Proposed PCWG Data Sharing Initiative

2. PCWG Data Combination Initiative: What? A new innovative industry collaborative exercise based on data aggregation across organizational boundaries. The exercise will seek to unlock the potential of data that already exists for the benefit of the whole industry, Why? Aggregation of information across organization boundaries offers the potential for a step change in industry understanding of turbine performance. The initiative aims to deliver an effective and practical parameterization of real world turbine performance to an entire industry. It will deliver a strong message to the investment community that wind energy is serious about improving its value proposition. When? Aim to complete by Sept 2015 PCWG meeting in New Orleans (TBC). Possible reveal presentation at AWEA Resource Assessment 2015.

3. Data Aggregator (Academic Institution 2) Proprietary Dataset C PCWG Analysis Tool Analysis Definition X Organization D Combination Analysis Proprietary Dataset A PCWG Analysis Tool Organization A Proprietary Dataset B PCWG Analysis Tool Organization B Proprietary Dataset C PCWG Analysis Tool Organization C Data Aggregator (Academic Institution 1) Combination Analysis Combined Analysis α Consistently Analyzed Cleansed Data Analysis Definition X How? Part A Data Aggregation Combined Analysis β * ‘Cleansed Data’ means that all commercially sensitive information is removed e.g. site, machine, site wind speed etc.

4. Data Aggregator (Academic Institution 2) Proprietary Dataset C Analysis Definition Z Organization D Combination Analysis Proprietary Dataset A Organization A Proprietary Dataset B Organization B Proprietary Dataset C Organization C Data Aggregator (Academic Institution 1) Combination Analysis Validation Test β Consistently Analyzed Cleansed Data Analysis Definition Y Analysis Definition Z How? Part B Training Independent Test Validation Test α Analysis β Analysis α