Energy Data Visualization Needs
It was identified that local authorities have a very strong need to have an understanding of the building stock energy consumption in order to be able to draw a strategy of energy efficiency and reduction, set targets and evaluate the impact of actions on energy consumption and CO2 emission reduction.
Interviews undertaken showed that normally municipalities get yearly real energy consumptions of the building stock aggregated at the city scale. Most of the time there is a rough segmentation of buildings in three categories: residential, tertiary and industry. Furthermore, data are few years behind the current year of exploitation, depending on the type of data and the source. They also count on information regarding buildings and households provided by Statistics organizations (NSIs). Such organizations get data through population census and provide them to actors that evaluate the energy consumptions and CO2 emissions. But most of the local administrations interviewed pointed that to go further they need more detailed data at all levels. The scale of data needed depends on the actions to be carried out. Generally, lower scale is needed by technical actors, and upper scale information is targeting policy and strategy actors. The interviews have revealed that district and block scale is generally sufficient for municipalities because they are unable to target one precise building and they organize strategies at district level. But some municipalities would prefer information at building level, because they would have a more precise and reliable evaluation of the consumption. On the other side, going down to the level of the dwelling could enable the public authorities to address issues of occupants, but for most actors it is consider as an intrusion into the privacy of citizens.
On the other hand, service suppliers have different needs concerning the scale of information needed. Interviews revealed that they would like data at all types of scales, depending on their core business and their specific projects. Utilities’ big investments would require data at regional level. For energy network companies, the needs are at building and district levels, in order to have a more global overview. To develop district heating network, operators need to have at least the information at district level and preferably at building level too. For construction companies doing refurbishment works, data at building level is sufficient but they could need data at dwelling level. Some appliances companies would like the information at dwelling level or even more detailed inside the dwelling in order to have a precise analysis of the consumer behavior and offer them a dedicated service.
Finally, within the citizen’s needs, interviewees agreed that the appropriate scale of data for citizens is dwelling/housing scale. Furthermore, citizens are interested to monitor their energy consumption and get precise advices on energy saving measures and potential refurbishment works to improve energy efficiency of their homes. Additionally, it was also considered very interesting to provide them information on energy consumption at city scale, as a necessary exercise of local government transparency, but also to include them in a collective effort, to allow citizens to understand how their actions influence city energy consumptions.