Industry

Energee-Watch

General:

Quick-links to Observatories’ methodologies:

Nord Pas-de-Calais region

OREGES (Rhône-Alpes region)

ROSE (Ile-de-France region)


User satisfaction survey on the quality of statistics produced by Eurostat

From EUROSTAT:   How should we ensure that we are meeting your needs? The best way is to ask you directly and we would be grateful if you could spare a few minutes to respond to the following questionnaire: ->http://ec.europa.eu/yourvoice/ipm/forms/dispatch?form=ESTATuserSurvey2014&lang=en This survey is an opportunity for us to better understand why and how you use European statistics […]

PORTUGAL, 3rd Nov: Webinar on Local Energy Data Collection for GHG Emissions Inventories

. 3 November 2015 11:00-12:30 local time / 12:00-13:30 CEST. . Working language: Portuguese . This webinar will focus on energy data collection methods and practices in Portugal and will provide practical advice on energy data gathering and processing for the purpose of preparing emission inventories (BEI/MEI) as part of a Sustainable Energy Action Plan (SEAP). […]

Take the survey for a seat in the peer learning programme!

Your energy agency, city or region face some challenges in its energy and climate data collection, monitoring, processing or communication? If the answer to one of these challenges is yes then take this survey to help us design a training programme mentored by experienced energy agencies. Filling in the survey will give you a chance […]

Climate Alliance EcoRegion software tool, EU

The tool is intended to provide municipalities and regions with a basis to establish their CO2 profile and assess their local and regional climate strategies. It is based on software called ECORegionsmart specifically developed by the Swiss company Ecospeed for computing local CO2 and energy balances.It can be ordered online and used immediately as an internet service. After a small amount of data has been entered, ECORegion calculates a first initial balance, using default values from a database built on national statistical data with some computing added. The computations use factors like fleet average consumption, emission factors, etc.