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Future ``net-zero'' electricity systems in which all or most generation isrenewable may require very high volumes of storage, provided jointly by anumber of heterogeneous technologies, in order to manage the associatedvariability in the generation-demand balance. We consider the problems ofscheduling and dimensioning such storage. We develop a value-function basedapproach to optimal scheduling, and show that, to a good approximation, theproblem to be solved at each successive point in time reduces to a linearprogramme with a particularly simple solution. We show that approximatelyoptimal scheduling may be achieved without the need for a running forecast ofthe future generation-demand balance. We examine the applicability of the abovetheory to future GB storage needs, and discuss how it may be used to enable themost economic dimensioning of such storage, with possible savings of tens ofbillions of pounds, relative to the use of a single technology.

Scheduling and dimensioning of heterogeneous energy stores, with applications to future GB storage needs