David Infield

TL;DR: In this article, a simple probabilistic method has been developed to predict the ability of energy storage to increase the penetration of intermittent embedded renewable generation (ERG) on weak electricity grids and to enhance the value of the electricity generated by time-shifting delivery to the network.

TL;DR: In this paper, a high-resolution model of domestic electricity use is presented based upon a combination of patterns of active occupancy (i.e. when people are at home and awake), and daily activity profiles that characterise how people spend their time performing certain activities.

TL;DR: In this paper, the authors investigated whether a degree of built-in frequency stability could be provided by incorporating dynamic demand control into certain consumer appliances, such as refrigerators, which would monitor system frequency and switch the appliance on or off accordingly, striking a compromise between the needs of the appliance and the grid.

TL;DR: In this article, the authors present a method for generating realistic occupancy data for UK households, based upon surveyed time-use data describing what people do and when, which can be used as input to any domestic energy model that uses occupancy time-series as a base variable, or any other application that requires detailed occupancy data.

TL;DR: The results presented demonstrate that the interpretation techniques can provide performance assessment and early fault identification, thereby giving the operators sufficient time to make more informed decisions regarding the maintenance of their machines.