Supply and demand determine the price of energy. Some supplies are inherently uncontrollable (eg wind & solar) and others inflexible (eg nuclear) so marginal cost to rapid demand change can be extreme. Resilience of the grid and hence energy security is improved and carbon impact reduced when loads are stable and supply is well below capacity.
Regional generation and distribution result in increased and varying local priority for demand response (or demand price sensitivity).
It is possible to identify chiller loading, and spare heat storage capacity on a site given only a history of meter and weather data (together with applied mathematics – the IQ in kWIQly).
Demand response requires identification of load that can be rescheduled, this implies stored reserves. Chillers and ventilation can be controlled with demand response algorithms while wholly avoiding service degradation. Identifying this target audience provides ideal segmentation of the demand response market.
Return on Flexibility
kWIQly can demonstrate how client demand response capacity can be identified effectively at scale in response to evolving needs of grid infrastructure. Exploiting this capacity requires no capital plant investment and being fully automated is less expensive to deliver than behavioural response.
Identifying opportunity across a portfolio or region is where kWIQly offers an edge: Scalable identification of demand response capacity.