The purpose of this deliverable is to analyse the outcomes of the use case implementation and assess the related impacts. Details of the analysis are provided for each of the demonstration activities that have been used to validate the Mas2tering solution from a performance perspective.

Physical tests at ENGIE show that the MAS optimisation is able to self-adapt to changing (real) external weather conditions in a real environment and the concept of a local flexibility market is introduced. Simulation activities for a Belgium local energy community demonstrate the effectiveness and performance of the Mas2tering solution in a representative local energy community considering a single scenario and one year of simulations. User-by-user assessment of performance following in-home and local energy community optimisation are carried out to determine the defining characteristics of prosumers most likely to benefit from Mas2tering. Simulation activities for a representative portion of the Cardiff low voltage grid are carried out across multiple scenarios to gain an understanding of the relative impacts of future smart grid scenarios on performance of the Mas2tering platform. Scenario-by-scenario assessment is used to identify the conditions under which the Mastering solution is most likely to be profitable. In particular it is shown that MAS optimisation is more effective with respect to performance against the various quantified objectives for users or scenarios with higher levels of flexibility and the presence of PV generation.

The wider update potential of Mas2tering is explored together with consideration of possible social and environmental benefits. In particular, significant energy and carbon savings are found to derive from the indirect benefit of grid losses reduction as a result of reduced reliance on centralised generation. The flexibility that could be unlocked by Mas2tering has also been shown to be of wider economic benefit to DSOs as it would have the potential to improve the operational conditions of the network, reduce losses and defer network upgrades. Mas2tering also supports the increase of renewable energy sources hosting capacity, thereby facilitating further significant energy and carbon savings.

The key findings outlined in this deliverable will be used to inform the detailed business model led economic assessment carried out within deliverable D1.7 ‘Mas2tering Business Models’.

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MAS2TERING_D6.3_Use cases assessment and wider uptake_final