A level 2 of data analytics is possible when the specifications of the facilities are well understood and documented. To be able to deliver this type of analytics, it’s extremely important to understand the characteristics of each facility (equipment’s sequence of operations), so as to establish the logical links between the feeds, assess the need for tracking additional feeds which will eventually help understand the “normal’ behaviour of the facility’s energy consumption. It’s therefore clear that AnalyFeed’s level 2 is a bespoke service as no two facilities can be similar.

In order to benefit from the full capabilities of AnalyFeed in delivering the level 2 of analytics, the customers shall submit a set of information about their facilities:

• • As-built utilities’ single line diagrams
• • As-built architectural drawings
• • Equipment sequences of operations.
• • HVAC system: Types of equipment, AC set points, Coefficient of Performance…
• • Lighting system: type of controls (manual, automatic: movement detection sensor, photocells….), Do lights remain on when they are not needed (e.g. when staff have gone home, or when they are on lunch-break)? Are there enough light-switches? For example, if one person is working late in a large open office, will they have to light the entire office just to light their desk?
• • Other energy-consuming equipment / processes. This could include anything from a printing room, to a fork-lift-truck charger, to specialist production-line equipment: What processes or items of equipment exist that use energy? When do they use energy? When do the processes run? When is the equipment switched on and off?
• • Occupancy - when people come and go: What are the core occupancy hours (e.g. 9.00 to 17.30)? Are there multiple shifts (e.g. a day shift and a night shift)? Do people ever work on-site outside of the core occupancy hours? Does anyone come in on weekends or holidays?

EnergyTech will then customize and setup the fourth viewing screen (AnalyFeed) so that:

• • It provides insightful notifications (for example to attract the customer’s attention to deviations and provide instructions’ set to guide the customer pinpoint the reasons for the deviations).
• • It suggests energy conservation measures.

In addition to the above two levels of analytics, AnalyFeed allows the customer to display the weather-normalized (refer to weather normalization) energy consumption for selected meter’s feeds. The comparison of the weather-normalized usage over different periods can, for example, reveal a defective control logic.