Integrid - Bridging the Gap

59 Swedish demonstrator HLUC CBA Aims and Scope NPV Considerations and sensitivities HLUC03 Aims to test benefits of predictive maintenance (condition-based) vs. conventional maintenance (time-based) All transformers: €148K total, €73, - Per transformer Only HV/MV: €7.8M total, €194.6K - Per transformer Only MV/LV: -€8.1M total, -€4.0K Per transformer - Positive results for HV/MV transformers, but negative NPV for MV/LV transformers. - Sensitivity analysis shows that slight increase in input parameters may strongly affect this outcome and assumptions behind input are uncertain - More research is needed before drawing reliable conclusions from this CBA. HLUC04 Aims to test the cost and benefits of implementing an advanced fault location + optimized repair actions against traditional fault location (SCADA + call centre data, maintenance crew doing visual inspection and) €388.4K - Benefits of applying fault detection system exceed the costs positive CBA results - Implementation of fault location system would also bring benefits to customers as outages would be reduced. These extra benefits are not included in the CBA. HLUC09 Aims to test the costs and benefits of the Active House automated-demand response solution. In Sweden only, seeks to compare the cost-effectiveness of Active House (HLUC09) with that of LocalLife (HLUC11) - Per single apartment: €106, - Per 2-member apartment: €21, - Per family apartment: -€142, - Total: -€711,- - Implementing Active House is an economically viable solution for single apartments and 2-member apartments, but not for family apartments - Energy management systems harder to implement in multi-person households lower benefits - Focus on single apartments first HLUC11 Aims to test the costs and benefits of the Locallife behavioural demand response solution. In Sweden only, seeks to compare the cost- effectiveness of Active House (HLUC09) with that of LocalLife (HLUC11) - Per household: €124, - Total: €6.8K - Positive NPV Economically viable solution. Contrast with HLUC09 is that no hardware needs to be acquired. Therefore, lower costs Summary The CBA analysis examined a wide variety of concepts across three demo countries, with mostly positive results. The main finding of this CBA is that the outcome of smart grid projects depends on various factors, including specific market conditions, flexibility prices, country specific regulations and the costs underlying each specific solution. The CBA results were checked with the use of a sensitivity analysis, to confirm the reliability of the results and provide additional insights into the effect of critical variables on the main findings. The insights from this CBA can support decision makers when selecting the best technologies and provide enhanced knowledge on the various factors that can inform on the direction of development of future smart grids.