| O1: To motivate a behavioural change towards more energy-efficient habits |
75% of social acceptance of EE actions |
| O1.1: To empower and engage consumers in achieving sustainable energy savings |
Ranking of most engaging and efficient actions |
| O1.2: To facilitate the decision-making process of users with higher levels of information |
>50 people involved in training courses |
| O2: To develop a standardised IoT-based platform for energy-efficient actions |
Open Cloud/Fog virtual organization approach |
| O2.1: To build an extremely replicable ecosystem that processes heterogeneous energy-related data |
Reusable containers for EE |
| O2.2: To provide tools that make data accessible to the consumer and designated third parties |
Open usage data and publish/subscribe tools |
| O3: To show a drastic reduction (15%-30%) of energy consumption and emissions |
15%-30% reduction with respect to the baseline |
| O3.1: To demonstrate that energy savings can be achieved without compromising comfort levels |
Comfort factors meeting standards (PMV, PPD…) |
| O3.2: To maintain user informed of achieved savings by behavioural change and by smart control |
15% of savings due to online feedback |
| O4: To validate the proposed platform in real pilots in Salamanca social housing |
>25 consumers involved in the pilots |
| O4.1: To monitor and audit energy consumption in comparison to baseline and control group |
A complete energy audit of pilot sites |
| O4.2 To conduct a sociological comparison among pilots |
Sociological factors explaining EE differences |
| O5: To demonstrate the cost-effectiveness of the proposed solution |
RoI for different models of smart home |
| O5.1: To show the potential for replication of the project in other locations/buildings |
10%-15% savings in the final pilot |
| O5.2: To promote EE politics aligned with CHROMOSOME scope |
Guidelines for regulation of EE at homes |
