Distributed control method for large-scale heating and ventilation air-conditioning systems in university campus buildings

A HVAC system and distributed control technology, applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc., can solve the problems of lack of distributed coordinated control methods for HVAC systems, thermal discomfort, etc.

Active Publication Date: 2018-11-16
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, considering electricity price, outdoor temperature and uncertainty of optimal temperature preference in each region, regional occupancy pattern, energy cost and thermal discomfort of users, time-coupling constraints related to indoor temperature change in each

Method used

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  • Distributed control method for large-scale heating and ventilation air-conditioning systems in university campus buildings
  • Distributed control method for large-scale heating and ventilation air-conditioning systems in university campus buildings
  • Distributed control method for large-scale heating and ventilation air-conditioning systems in university campus buildings

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Embodiment

[0171] Take the scene and apply it to 5 buildings, that is, M=5. The number of zones N in each building analyzed ranged from 10 to 60, in increments of 10. For the MN areas in the entire system, each area is marked with a corresponding number. As the number of areas in the building grows, the execution results of the method of the present invention and the traditional centralized model predictive control method are compared.

[0172] The specific parameters are set as follows: H=96, h=8, a i =0.9608, η i = 1, A i =0.14kW / oF, σ i =0.04, ε=0.001 / MN, δ'=10 -4 , ρ=0.5. All areas are connected in a ring, and the area with the largest number in each building is connected and communicated with the control system in the area with the smallest number in the next building, that is, the area participating in the cross-building connection corresponds to|N i |=3, the remaining areas are |N i |=2. Zones are divided into two groups of different settings by numbered odd and even ...

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Abstract

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.

Description

technical field [0001] The invention relates to a distributed control method for a large-scale HVAC system in a university campus building, and belongs to the technical field of energy optimization and control of the HVAC system. Background technique [0002] The energy consumption of buildings in a country accounts for about 40% of the total energy consumption and 70% of the total electricity consumption. Among all building types, educational buildings account for around 2% of total energy consumption. For example, the annual energy costs of a university building system can be as high as $2 million. Therefore, optimizing the energy consumption cost of university campus buildings has very important practical significance. Since HVAC systems account for more than 40 percent of energy consumption in educational buildings, effectively controlling the operation of HVAC systems can reduce energy costs for university campus buildings. The most intuitive way to achieve this goal...

Claims

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Application Information

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IPC IPC(8): F24F11/89F24F11/88F24F11/62
CPCF24F11/62F24F11/88F24F11/89
Inventor 余亮谢蒂邹玉龙
Owner NANJING UNIV OF POSTS & TELECOMM
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