44 results about "University campus" patented technology

A method and associated system for monitoring electrical demand performance in a building, industrial complex or university campus is disclosed. According to a preferred method, historical data is initially complied and statically analyzed to determine demand forecast for a baseline day. Further according to the method, electrical demand is plotted with another indication, more particularly outside air temperature. Additionally the invention provides an electronic alert to building engineers when demand falls outside the expected demand range. Still further a control chart is provided with the expected electrical load range. Outside air temperature is also optionally considered historically and in real time in the method. The invention further contemplates commissioning building engineers to reduce demand when a real time demand is higher than an expected energy demand. A system is also disclosed herein having instrumentation and electronic devices controlled by software and transmitting data.

The invention discloses a distributed control method for large-scale heating and ventilation air-conditioning systems in university campus buildings. Coordinated operation of the heating and ventilation air-conditioning systems in all regions in a plurality of buildings is achieved by adopting a model predictive control and alternating direction multiplier method, and the sum of the energy cost and the heat energy non-comfort cost is minimized under the constraint that the total input power and the acceptable temperature range of all the regions are not violated. The distributed control methodparticularly comprises the following working procedures that (1) a local controller of the heating and ventilation air-conditioning system in each region is used for predicting the electricity pricein a prediction interval, the external temperature and the user comfort degree preference temperature; (2) optimal input power decisions for a plurality of time slots in the future are given by all the local controllers according to a control algorithm; (3) the input power decision of the first time slot is made to act on actual operation of the heating and ventilation air-conditioning system; and(4) the prediction interval rolls back to one time slot, and the above three steps are repeatedly conducted. The method has the advantages of being high in expandability, high in flexibility, capableof protecting the privacy of a user and the like.