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Optimal Control Method of Building HVAC Load Based on Partial Linear Model

A load optimization control, HVAC technology, applied in mechanical equipment and other directions, can solve the problems of complex data-driven models, optimal control, and simple models cannot be applied to real scenarios, so as to reduce energy costs, improve efficiency, and reduce electricity consumption. effect of cost

Active Publication Date: 2022-03-01
TSINGHUA UNIV
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Problems solved by technology

[0004] To sum up, the existing simple model of HVAC load cannot be applied to real scenarios; the data-driven model is too complex, and it is difficult to optimize the control on this basis

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  • Optimal Control Method of Building HVAC Load Based on Partial Linear Model
  • Optimal Control Method of Building HVAC Load Based on Partial Linear Model
  • Optimal Control Method of Building HVAC Load Based on Partial Linear Model

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Embodiment Construction

[0055] The optimal control method for building HVAC loads based on a partial linear model proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments; it should be understood that the specific embodiments described here can be used to explain the present invention, but not limit the invention;

[0056] The building HVAC load optimization control method based on the partial linear model proposed by the present invention first establishes the thermal inertia model and the HVAC system model of the building respectively, and converts the two models to obtain a linear part and a data-driven model. Part of the HVAC load forecasting model, using historical data fitting to obtain the parameters of the HVAC load forecasting model; then according to the HVAC load forecasting model, an optimization model for building indoor temperature is established, and the optimized model is solved to calculate The ...

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Abstract

The invention proposes a building HVAC load optimization control method based on a partial linear model, which belongs to the technical field of electric power demand response; the method first establishes a building thermal inertia model and a HVAC system model respectively, and converts the two models Obtain the HVAC load forecasting model including the linear part and the data-driven part, use the historical data to fit the parameters of the load forecasting model; then according to the load forecasting model, establish the optimization model of the building indoor temperature, solve the optimization model, and calculate The optimal building indoor temperature at the next point in time realizes optimal control of building HVAC loads. This method combines the physical model and the data-driven model to make the HVAC prediction model both interpretable and high prediction accuracy, so that the indoor temperature can be optimized according to the model under the real-time electricity price, and the indoor temperature can be kept at a certain comfortable level. Reduce building energy consumption costs within the scope.

Description

technical field [0001] The invention belongs to the field of power demand response, and in particular proposes a building HVAC load optimization control method based on a partial linear model. Background technique [0002] With the acceleration of the global urbanization process, the construction industry consumes more and more energy, causing nearly 40% of the global greenhouse gas emissions. HVAC systems account for nearly 50% of a building's energy consumption. Due to the thermal inertia of buildings, HVAC is a typical electrothermal coupled load that can adjust electricity demand in a short period of time with little impact on user comfort, and has the potential to provide flexibility to the grid. Proper demand-side management can greatly improve the economics of grid operation, which requires modeling and optimal control of HVAC loads. [0003] Many literatures have confirmed the application of HVAC systems in demand response, such as implementing optimal control of i...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F24F11/46F24F11/63
CPCF24F11/46F24F11/63
Inventor 钟海旺何一鎏谭振飞夏清康重庆
Owner TSINGHUA UNIV