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Using Building Simulation and Optimization to Calculate Lookup Tables for Control.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
書名/作者:	Using Building Simulation and Optimization to Calculate Lookup Tables for Control.
作者:	Coffey, Brian.
面頁冊數:	168 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-07(E), Section: A, page: .
Contained By:	Dissertation Abstracts International73-07(E)A.
標題:	Architecture.
ISBN:	9781267227775
摘要、提要註:	There is a growing demand for more energy efficient buildings. Integrated systems with more intelligent controls are an important part of meeting this demand. Model predictive control (MPC) is an established control technique in other fields and holds promise for improved supervisory control in buildings. It has been receiving increasing attention in buildings research but has yet to find its way into common practice. This is due, at least in part, to a mismatch between the tools and techniques used in most MPC development and the tools, skills and processes commonly found in building design and operation. This dissertation investigates an approach to optimization-based control that uses common building simulation tools and could fit more readily into building design and operation practices. Instead of solving optimization problems in real-time to determine control set-points given current states and predicted disturbances, the optimal set-points are pre-computed offline over a grid of possible conditions and the resulting lookup table is used with linear interpolation for control. The feasibility and range of applicability of this approach are evaluated, including analyses of the performance impacts of grid spacing and techniques for problem dimensionality reduction. Three abstract case studies and two detailed case studies are presented. The approach is found to be feasible for supervisory control problems that can be effectively simplified to functions of roughly 5--6 conditions variables, and the case studies show good performance relative to online MPC. The benefits for ease of implementation are significant, but the most useful aspect is likely the feedback it can provide to the design process.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3498950

Using Building Simulation and Optimization to Calculate Lookup Tables for Control.
Coffey, Brian.

Using Building Simulation and Optimization to Calculate Lookup Tables for Control. - 168 p.

Source: Dissertation Abstracts International, Volume: 73-07(E), Section: A, page: .

Thesis (Ph.D.)--University of California, Berkeley, 2011.

There is a growing demand for more energy efficient buildings. Integrated systems with more intelligent controls are an important part of meeting this demand. Model predictive control (MPC) is an established control technique in other fields and holds promise for improved supervisory control in buildings. It has been receiving increasing attention in buildings research but has yet to find its way into common practice. This is due, at least in part, to a mismatch between the tools and techniques used in most MPC development and the tools, skills and processes commonly found in building design and operation. This dissertation investigates an approach to optimization-based control that uses common building simulation tools and could fit more readily into building design and operation practices. Instead of solving optimization problems in real-time to determine control set-points given current states and predicted disturbances, the optimal set-points are pre-computed offline over a grid of possible conditions and the resulting lookup table is used with linear interpolation for control. The feasibility and range of applicability of this approach are evaluated, including analyses of the performance impacts of grid spacing and techniques for problem dimensionality reduction. Three abstract case studies and two detailed case studies are presented. The approach is found to be feasible for supervisory control problems that can be effectively simplified to functions of roughly 5--6 conditions variables, and the case studies show good performance relative to online MPC. The benefits for ease of implementation are significant, but the most useful aspect is likely the feedback it can provide to the design process.

ISBN: 9781267227775Subjects--Topical Terms:

189426
Architecture.

Using Building Simulation and Optimization to Calculate Lookup Tables for Control.
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