One way to reduce wastage of energy is to delivery advice to its users on how they can help to save energy and avoid waste. The Hit2GAP ('H2G') system can provide 'live' energy advice, which takes into account the readings from sensors and meters distributed around the building, thus enabling occupants to make simple changes which will save energy. For example, if the H2G system finds that a room is heated, cooled, ventilated or lit, but not occupied, then it can advise a facilities' manager (someone who manages energy and other services (such as lifts, etc.,in the building) that energy in that room is being wasted.
Furthermore it can provide this information by a variety of mechanisms: SMS text messaging, e-mail or an 'energy-reporting dashboard', in a simple or detailed format. These 'dashboards' can be tailored for specific audiences, for instance a simple dashboard could be displayed in a students' common room to inform of a mobile phone 'app', but a facilities' manager for the same building could be provided with a more detailed dashboard to maximise opportunities to improve performance. The H2G advice does not only report the reason why energy is being wasted but can also advise on how to rectify a problem: for example, it could advise the building user to switch off the heating in the space where energy is being wasted, or it could advise users to open a window to prevent impending overheating.
In identifying the needs of occupiers, H2G determines where the occupiers are and their level of activity, and evaluates their environment. If it finds that the lighting, temperature or ventilation are inappropriate for the number of people in each room, then it can flag up a possible 'waste event'.
H2G also looks at the movement of energy around the building, taking account of the heating, ventilation, air conditioning, lighting, power and ICT devices, and it also considers the associated external and internal environments: looking at the weather outside, the indoor air quality, such as the carbon-dioxide levels, humidity and temperature, and the geometry of the building. Through detailed data processing it generates relevant information and recommendations, and then presents this advice in ways that are tailored for the various audiences.