Study On Energy Consumption Of Sino - German Building In Uncertain Environment. Issue 2 (December 2017)

• Record Type: Journal Article
• Authors: Liang, Sun Liang; Ye, Li; Qi, Jia Hai; Ning, Hu Jun; Hang, Jin
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 2(2017)
• Page Start: 104
• Page End: 109
• Publication Date: 2017-12
• Subjects: joint optimization -- uncertain environment -- Lagrangian relaxation -- stochastic dynamic programming; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.12.024
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: According to the experience of developed countries, with the development of the city, the construction industry will go beyond the industrial, transportation and other industries and ultimately ranked first in social energy consumption, and air conditioning energy consumption is the main part of building energy consumption, reduce its operation energy consumption is of great significance to saving energy, improving energy utilization and implementing green building strategy. This paper studies the joint control of HVACs, lights, shading blinds and natural ventilation in the Sino - German Building. This paper has developed an effective environment for integrated control of HVACs, lights, shading blinds and natural ventilation in an uncertain environment. In this paper, an easy-to-use model suitable for optimization is established, and the joint control optimization problem is transformed into a multi-stage stochastic optimization problem. Using the improved Lagrangian relaxation method, the Lagrangian multiplier is used to loosen the constraints that are coupled together by air conditioning equipment such as a common machine. A new Lagrangian relaxation is shown, which can get better gradient direction. The optimal solution can be obtained by referring to stochastic dynamic programming and heuristic rules. Finally, the simulation results of the building simulation software DeST show that the joint optimization of the building end equipment can effectively reduce the building energy consumption.