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Smarter building start-A distributed solution

delete2023-03-01
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OA
AI
T
Timothy I. Salsbury *
K
Karthikeya Devaprasad
R
Robert Lutes
A
Austin Rogers
DOI:10.1016/j.enbuild.2023.112776delete
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摘要

摘要

En 中文
A significant focus of research and new technologies for reducing energy use in buildings is on operating the systems more efficiently during the times when the systems are active. However, there is a large potential for energy savings in determining the periods when the systems should or should not be active. This scheduling aspect of operation is often overlooked even though relatively simple solutions can unlock substantial energy savings. This paper describes a smart building start (SBS) algorithm that con-siders multiple zones in a building to determine individual schedules for room controllers as well as the central systems based on solving a simple optimization problem. Application of the SBS algorithm to mul-tiple interconnected systems enables a staggered start-up that minimizes peak loads and also ensures comfort is within a target range with minimal system run time. The SBS algorithm extends the capability of traditional optimal start and is designed to be simple to deploy and robust. Simulation results as well as results from tests in a real building with a VAV system are presented. The presented algorithm is appli-cable to any type of building with a zonal or multi-zone HVAC system. To function, it needs to be able to change setpoints in rooms and monitor room temperatures, as well as, if desired, turn the central system on or off.(c) 2023 Elsevier B.V. All rights reserved.
Keyword:
Optimal start
HVAC systems
Building control
Scheduling
Building energy use
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期刊

Energy and Buildings 封面图
Energy and Buildings
IF:
7.1
论文数:
1.6W
被引数:
6.8W

机构

P
Pacific Northwest National Laboratory
学者数:
9.0K
论文数: 6.3K
被引数: 14
U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
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