Integrid - Bridging the Gap

54 The results show that incentives in regulation are very important for the business value of fault location technology. Repair costs are reduced through shorter repair time but national regulations in Sweden relating to incentives for reduced Customer Minutes Lost, CML, are more important. HLUC 11 User engagement The two user-side Cases of Use (Active house and LocalLife) contrast in their approach but their end goals are the same: reducing peak demand and reducing residential energy use. The sequence of steps outlined in Figure 4.32 describes the necessary stages for execution of HLUC 11. The results obtained from HLUC 11 are described in Table 4.22. Table 4.21 - HLUC04 KPIs and Description KPI Result Description SAIFI (System Average Interruption failure Index) improvement -9% The values from 2016 to 2018 make up the baseline for 4,000 customers to be compared with 2019-2020 when fault indicators were fully integrated into SCADA/ADMS and the work management system. The data is without major events and only three major events have occurred. SAIDI (System Average Interruption Duration Index) improvement +6% The values from 2016 to 2018 make up the baseline for 4,000 customers to be compared with 2019-2020 when fault indicators were fully integrated into SCADA/ADMS and the work management system. The data is without major events and only three major events have occurred. CAIDI (Customer Average Interruption Duration Index) improvement +36% The values from 2016 to 2018 make up the baseline for 4,000 customers to be compared with 2019-2020 when fault indicators were fully integrated into SCADA/ADMS and the work management system. The data is without major events and only three major events have occurred. ENS (Energy Not Supplied) improvement +99,6% The values from 2016 to 2018 make up the baseline for 4,000 customers to be compared with 2019-2020 when fault indicators were fully integrated into SCADA/ADMS and the work management system. The data is without major events and only three major events have occurred. Table 4.22 - HLUC11 KPIs and Description KPI Result (Active House) Result (LocalLife) Description Peak load reduction 5.0% (mean, all apartments) 4.0% (mean, single apartments) Peak load reduction compared to: control group in Active house case; and average self-consumption during recent days in LocalLife case. Energy use reduction 10.9% (mean, all apartments) 16.2% (mean, single apartments) 3.6% (control group, single apartments); -4.0% (previous self- consumption, single apartments) Energy use reduction compared to: control group in Active house case; and previous consumption and control group in LocalLife case. A negative value indicates increase in consumption. Total cost of Peak load reduction €700 €37.5 (€(CAPEX + OPEX))⁄(%Peak Load Reduction) The total cost per percent of peak load reduction. a) Figure 4.32 – Sequence of steps to execute for (a) Use Case 1.11 - Active house, and (b) Use Case 2.11 - LocalLife b) 1 1 2 2 3 3 4 4 HEMSvisualisesenergyuse Consumers learnabout theirenergyuse ActivateResidentsviagm-hub ConsumersareRequested toGiveConsent ProvidesCollectiveFeedback Residentsare Invited toParticipate in PauseHours ActivateUserson theLocalSocialNetwork Consumersprovideconsent ingm-hub Consumers learnabout theirenergyuse UsersProvideGridFlexibilityDuring thatHour HEMS informsofenvironmental signal Consumers learnwhen touseelectricity Consumer schedulesappliances for lowest environmental impact HEMSautomatates shiftable loads to run whenenvironmental impact is low Mixed-metod research isconducted KHTarrivesatBehaviouralOpportunities andBarrierswithHEMSSmartGrid