Heat prediction management based energy consumption control method in intelligent building

Abstract

The invention provides a heat prediction management based energy consumption control method in an intelligent building, which comprises the steps of 1, establishing a heat model of the building; 2, establishing a thermodynamic model in a state space; 3, carrying out a schedulability test and judging whether a heat load of the building has schedulability or not under given energy consumption load budget; and 4, operating a model predictive control (MPC) based heat control strategy to solve a corresponding control output variable. According to the invention, an HVAC (heating, ventilating and air conditioning) system in the building is adjusted, and the peak power is enabled to be reduced under various constraints such that the room temperature is small in variation, a task processing constraint is met, and the like. In addition, the system can carry out schedulability analysis very well, and carries out good judgment and correction on whether the current energy consumption budget can meet requirements or not.

Description

Technical field [0001] The present invention relates to consumption management, in particular to an energy consumption control method based on heat forecast management in intelligent buildings. Background technique [0002] In recent years, energy consumption in buildings has grown very fast. Related research in 2009 showed that energy consumption in American buildings accounted for nearly 40% of the total energy consumption in the United States. Recently, the Energy Information Administration of the United States predicted that between 2012 and 2030, the total energy consumption in buildings will reach 4.74 QBtu. Energy consumption in buildings has a distinctive feature, that is, the peak demand for electricity is obvious. In order to ensure the quality of electricity service to users, the building needs to be able to meet the peak power consumption of users during construction, which will increase the construction cost of the building. On the other hand, in order to reduce t...

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Problems solved by technology

However, this strategy does not quantitatively study the dispatchability problem, that is, whether the HVAC system can regulate the temperature of the building to a certain temperature range under the constraint of energy consumption.

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