語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Supervisory control for intelligent ...
~
Torcellini, Paul Allen.
FindBook
Google Book
Amazon
博客來
Supervisory control for intelligent building systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Supervisory control for intelligent building systems./
作者:
Torcellini, Paul Allen.
面頁冊數:
185 p.
附註:
Source: Dissertation Abstracts International, Volume: 53-05, Section: B, page: 2510.
Contained By:
Dissertation Abstracts International53-05B.
標題:
Engineering, Mechanical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9229200
Supervisory control for intelligent building systems.
Torcellini, Paul Allen.
Supervisory control for intelligent building systems.
- 185 p.
Source: Dissertation Abstracts International, Volume: 53-05, Section: B, page: 2510.
Thesis (Ph.D.)--Purdue University, 1992.
The objective of an office building is to provide optimum comfort that enables the occupants to attain maximum productivity. To meet this objective, a heating, ventilating, and air-conditioning (HVAC) system provides climate control; however, with an energy cost to the building owner. From an economic point of view it is important to minimize energy consumption while maximizing comfort. A three-level hierarchical control system composed of a supervisor, coordinators, and local controllers was formulated to meet this objective such that the building control system learns the characteristics of the building and determines the best control strategy.Subjects--Topical Terms:
783786
Engineering, Mechanical.
Supervisory control for intelligent building systems.
LDR
:03082nmm 2200313 4500
001
1864774
005
20041216133433.5
008
130614s1992 eng d
035
$a
(UnM)AAI9229200
035
$a
AAI9229200
040
$a
UnM
$c
UnM
100
1
$a
Torcellini, Paul Allen.
$3
1952246
245
1 0
$a
Supervisory control for intelligent building systems.
300
$a
185 p.
500
$a
Source: Dissertation Abstracts International, Volume: 53-05, Section: B, page: 2510.
500
$a
Major Professor: Rahmat Shoureshi.
502
$a
Thesis (Ph.D.)--Purdue University, 1992.
520
$a
The objective of an office building is to provide optimum comfort that enables the occupants to attain maximum productivity. To meet this objective, a heating, ventilating, and air-conditioning (HVAC) system provides climate control; however, with an energy cost to the building owner. From an economic point of view it is important to minimize energy consumption while maximizing comfort. A three-level hierarchical control system composed of a supervisor, coordinators, and local controllers was formulated to meet this objective such that the building control system learns the characteristics of the building and determines the best control strategy.
520
$a
This intelligent building system (IBS) contains local controllers that control the equipment, a supervisor that monitors predicted disturbances to anticipate control actions, and coordinators that modify the supervisor's decisions to compensate for unexpected real-time disturbances.
520
$a
The supervisor provides an optimistic plant to operate the building using past information to predict the performance of the building. This level can learn the building dynamics and formulate a model from generic units or "building blocks." These generic units are simple models that can be identified with data from the building and its HVAC system. Since comfort is needed only when the building is occupied, a technique was developed to predict occupancy using motion sensors. This technique requires no prior knowledge and with sufficient data can create a probability of occupancy. To minimize energy cost while maintaining comfort, a cost function was formulated. This functional relates comfort and energy costs into a unified performance index.
520
$a
An experimental test bed, composed of three offices, was used to verify portions of the supervisory control. Motion data was converted into probability of occupancy profiles, weather forecasts were collected, and the building model was identified. Predicted building block coefficients and occupancy profiles showed good correlation with the actual data. This information, with the performance index, was used to determine analytically optimal time dependent set points for a room.
590
$a
School code: 0183.
650
4
$a
Engineering, Mechanical.
$3
783786
650
4
$a
Engineering, System Science.
$3
1018128
650
4
$a
Energy.
$3
876794
690
$a
0548
690
$a
0790
690
$a
0791
710
2 0
$a
Purdue University.
$3
1017663
773
0
$t
Dissertation Abstracts International
$g
53-05B.
790
1 0
$a
Shoureshi, Rahmat,
$e
advisor
790
$a
0183
791
$a
Ph.D.
792
$a
1992
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9229200
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9183649
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入