This tool represents a quantitative indicator approach to measure multiple benefits of energy efficiency (MB-EE) developed as part of the ODYSSEE-MURE project. It aims to show the different aspects of energy efficiency beyond energy savings and give a more holistic view on its benefit.

The MB-EEs are classified into three groups: environmental, economic, and social –related MBs. The first group contains most relevant and direct aspects of energy efficiency such as energy savings and reduced GHG emissions. The second group comprises, among others, positive macro-economic impacts on economic growth, for innovation and competitiveness as well as import dependency. The third group of impacts covers aspects such as health benefits, poverty alleviation and employment.

To use the tool just click on a group of benefits you are most interested in and browse the different aspects. To see a group as a whole just click on “Map View” and choose the group you like.

Bottom-up methods

• Method 1: Direct measurement of unitary energy savings (unit usually participant)
• Method 2: Unitary energy savings are established on the basis of billing analysis (unit usually participat)
• Method 3: Deemed estimate of unitary energy savings (unit usually equipment; could be participant if end-use actions are uniform)
• Method 4: Mixed deemed and ex-post estimate; unitary energy savings based on equipment sales data, inspection of samples, monitoring of equipment (unit usually equipment; could be participant if end-use actions are uniform)
• Method 5: Detailed engineering estimates (e.g. calibrated simulation); implying more or less complex modelling of the individual unit (e.g. by calculating an energy balance of an individual building or company in the dataset - hence unit usually participant)

Mix bottom-up/top-down methods

• Method 6: Modelling (e.g. stock-modelling, simulation)
• Method 7: Based on share of specific equipment or practice in the market (diffusion indicators)

Top-down methods

• Method 8: Monitoring of energy consumption indicators (either energy consumption for whole sectors or sub-sectors, or specific energy consumption indicators for specific end use equipment).
• Method 9: Top-down modelling (e.g. econometric methods, simulation at aggregated level)

Others

• Method 10: Diverse methods (e.g. combinations of methods, guidelines or meta-evaluations that consider several types of methods)