US 12,066,798 B2
Method and control system for controlling building service systems
Man Pun Wan, Singapore (SG); Shiyu Yang, Singapore (SG); Bing Feng Ng, Singapore (SG); Swapnil Dubey, Singapore (SG); and Krishnamoorthy Baskaran, Singapore (SG)
Assigned to NANYANG TECHNOLOGICAL UNIVERSITY, Singapore (SG)
Appl. No. 17/417,532
Filed by NANYANG TECHNOLOGICAL UNIVERSITY, Singapore (SG)
PCT Filed Jan. 13, 2020, PCT No. PCT/SG2020/050015
§ 371(c)(1), (2) Date Jun. 23, 2021,
PCT Pub. No. WO2020/145900, PCT Pub. Date Jul. 16, 2020.
Claims priority of application No. 10201900288S (SG), filed on Jan. 11, 2019.
Prior Publication US 2022/0113688 A1, Apr. 14, 2022
Int. Cl. G05B 13/04 (2006.01); F24F 11/46 (2018.01)
CPC G05B 13/048 (2013.01) [F24F 11/46 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A method of controlling building service systems associated with a building for optimizing a plurality of building performance parameters in providing an environment with respect to a region of the building, using at least one processor, the building service systems comprising an air-conditioning and/or heating system, a lighting system and a shading system, the method comprising:
predicting, based on a shading and lighting prediction model, a visual comfort condition and a lighting condition with respect to the region of the building;
optimizing, based on a first multi-component cost function including a plurality of components relating to a plurality of lighting or thermal performance parameters with respect to the region of the building, one or more first control parameters for controlling the lighting system and the shading system based on the predicted visual comfort condition and the predicted lighting condition;
predicting, based on a building dynamics model, a plurality of building response parameters based on the predicted visual comfort condition and the predicted lighting condition associated with the region of the building, wherein the plurality of building response parameters comprises an index of thermal comfort; and
optimizing, based on a second multi-component cost function including a plurality of components relating to the plurality of building performance parameters, one or more second control parameters for controlling the air-conditioning and/or heating system based on the predicted plurality of building response parameters,
wherein the shading and lighting prediction model comprises:
a daylight penetration model configured to estimate a transmitted daylight illuminance associated with the shading system with respect to the region of the building;
a visual comfort model configured to predict the visual comfort condition based on the estimated transmitted daylight illuminance; and
a lighting power model configured to predict the lighting condition based on the estimated transmitted daylight illuminance,
wherein the plurality of building performance parameters include a building energy efficiency parameter, a human thermal comfort parameter, and a human visual comfort parameter.