| Aspect | B-24 Dynamic LCA data for assessing the impact of electricity consumption | |||||
Description |
Energy sources for electricity production may vary significantly according to the season (winter or summer months), the day (weekdays, weekends) and the time within a day. Environmental impacts are strongly influenced by the decision to use annual energy data (i.e. average LCA data) or energy data based on a shorter period (monthly, daily or hourly). | |||||
|
related study objective |
☒ stand-alone LCA | ☒ comparative assertion | ||||
|
related study phase |
☐ | ☒ | ☐ | ☐ | ☐ | |
| goal and scope definition | inventory analysis (LCI) | impact assessment (LCIA) | interpretation | reporting | ||
|
relevant for |
 |
 |
 |
 |
 |
 |
| new buildings | existing buildings | construction products | screening LCA | simplified LCA | complete LCA | |
Provisions |
Annual average datasets for electricity production should be used in the baseline scenario. Deviating data can be analysed in additional scenarios with transparent documentation and a sensitivity analysis. | |||||
Rules from: |
EN 15978: Not mentioned |
|||||
Guidance |
Dynamic LCA data can be produced by using the hourly data provided by electricity suppliers in each national context. For example, in France, RTE provides hourly data, broken down by source: fossil, hydropower or nuclear energy Based on these proportions, and LCI/LCIA data corresponding to each energy source, dynamic LCA data can be calculated. (Note: the LCI/LCIA data statically aggregate elementary flows.) Such dynamic LCA data can also be linked to models to predict the environmental impacts in a dynamic way (although very few LCA tools for buildings currently provide such assessment). More detailed information on this aspect can be found e.g. in a French PhD thesis by G. Herfray [Herfray 2011] or in [LoRe-LCA 2011] |
|||||