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HVAC system using model predictive control with distributed low-level airside optimization

A model prediction, air-side technology, used in the field of building HVAC systems, HVAC systems

Pending Publication Date: 2019-03-08
JOHNSON CONTROLS TECH CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The optimal airside subsystem lo

Method used

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  • HVAC system using model predictive control with distributed low-level airside optimization
  • HVAC system using model predictive control with distributed low-level airside optimization
  • HVAC system using model predictive control with distributed low-level airside optimization

Examples

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example 1

[0195] Example 1: Energy cost model without airside power consumption

[0196] In some embodiments, the energy cost modeler 720 generates an energy cost model that accounts for energy consumption of the waterside system 30 and does not include airside power consumption. For example, the energy cost modeler 720 may model the total energy cost during the optimization period using the following equation:

[0197]

[0198] The first term of the energy cost model considers the cost per unit (eg $ / kWh) of energy consumed during each time step k of the optimization period. In some embodiments, c k is consumed at time step k to satisfy the total waterside demand at time step k The cost per unit of energy of the parameter η tot is the reciprocal of the coefficient of performance of the aggregated airside / waterside system (e.g., 0.1≤η tot ≤0.25), and Δ is the duration of time step k. Therefore, the item Indicates that consumed during time step k to meet water-side demand ...

example 2

[0224] Example 2: Energy cost model with air-side power consumption

[0225] In some embodiments, the energy cost modeler 720 generates an energy cost model that takes into account both the energy consumption of the waterside system 30 and the energy consumption of the airside system 50 . For example, the energy cost model may take into account the energy consumed by fans and other types of airside equipment 622 to deliver the allocated thermal energy load to the building power of In some embodiments, the power consumption of each airside subsystem 632 to 636 is the thermal energy load assigned to this airside subsystem The function.

[0226] The airside power dissipation modeler 716 can generate the airside power dissipation with heat load The associated airside power dissipation model. In some embodiments, airside power consumption modeler 716 models airside power consumption using the following equation:

[0227]

[0228] in, is consumed by the air-side ...

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Abstract

A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile forthe corresponding airside subsystem. Each of the low-level airside MPCs is configured to use the optimal airside temperature setpoints for the corresponding airside subsystem to operate the airside HVAC equipment of the corresponding airside subsystem.

Description

[0001] Cross references to related patent applications [0002] This application claims the benefit and priority of U.S. Patent Application No. 15 / 199,909, filed June 30, 2016, and U.S. Patent Application No. 15 / 199,910, filed June 30, 2016. Both of these patent applications are hereby incorporated by reference in their entirety. Background technique [0003] The present disclosure generally relates to a heating, ventilation and air conditioning (HVAC) system for a building. The present disclosure relates more particularly to a building HVAC system that uses model predictive control (MPC) to optimize the cost of energy consumed by the HVAC system. [0004] Commercial buildings consume approximately 20% of total US energy consumption and account for approximately $200 billion in annual primary energy expenditures. The Energy Information Administration expects that commercial floor space and primary energy consumption will continue to grow in the future. On the other hand, av...

Claims

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Application Information

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IPC IPC(8): G05B13/04G05B15/02
CPCG05B13/048G05B15/02G05B2219/2614
Inventor 尼什·R·帕特尔罗伯特·D·特尼马修·J·埃利斯
Owner JOHNSON CONTROLS TECH CO
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