Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Development and Modelling of an Aera...
~
Cruz, Francis Cedric Go-Alcantara.
Linked to FindBook
Google Book
Amazon
博客來
Development and Modelling of an Aeration Control System for Precision Aquaculture.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Development and Modelling of an Aeration Control System for Precision Aquaculture./
Author:
Cruz, Francis Cedric Go-Alcantara.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
121 p.
Notes:
Source: Masters Abstracts International, Volume: 81-05.
Contained By:
Masters Abstracts International81-05.
Subject:
Mechanical engineering. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22618623
ISBN:
9781392600863
Development and Modelling of an Aeration Control System for Precision Aquaculture.
Cruz, Francis Cedric Go-Alcantara.
Development and Modelling of an Aeration Control System for Precision Aquaculture.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 121 p.
Source: Masters Abstracts International, Volume: 81-05.
Thesis (M.A.S.)--University of Toronto (Canada), 2019.
This item is not available from ProQuest Dissertations & Theses.
Dissolved oxygen is an important parameter of water quality in aquaculture. Aeration has been known to improve oxygen levels and yields, but its use is uncommon in many developing world environments due to high costs. As a more effective implementation, this thesis presents the use of a feedback diffused aeration control system to maintain adequate oxygen levels and increase energy savings. To demonstrate the potential, a model was developed to describe the interaction between the aerator and the pond and to predict the oxygen profiles of the water. Time-series simulations were performed to estimate the potential savings for a pond in Bangladesh, with and without the use of a feedback system. Results showed that the use of a control system led to an average of 66.0% in energy savings. Field validation experiments indicated an average prediction error of 3.64% and 4.91% for the top and bottom layers of the pond.
ISBN: 9781392600863Subjects--Topical Terms:
649730
Mechanical engineering.
Subjects--Index Terms:
Aeration
Development and Modelling of an Aeration Control System for Precision Aquaculture.
LDR
:02227nmm a2200421 4500
001
2280186
005
20210830065507.5
008
220723s2019 ||||||||||||||||| ||eng d
020
$a
9781392600863
035
$a
(MiAaPQ)AAI22618623
035
$a
AAI22618623
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Cruz, Francis Cedric Go-Alcantara.
$3
3558691
245
1 0
$a
Development and Modelling of an Aeration Control System for Precision Aquaculture.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
121 p.
500
$a
Source: Masters Abstracts International, Volume: 81-05.
500
$a
Advisor: Bilton, Amy.
502
$a
Thesis (M.A.S.)--University of Toronto (Canada), 2019.
506
$a
This item is not available from ProQuest Dissertations & Theses.
506
$a
This item must not be sold to any third party vendors.
520
$a
Dissolved oxygen is an important parameter of water quality in aquaculture. Aeration has been known to improve oxygen levels and yields, but its use is uncommon in many developing world environments due to high costs. As a more effective implementation, this thesis presents the use of a feedback diffused aeration control system to maintain adequate oxygen levels and increase energy savings. To demonstrate the potential, a model was developed to describe the interaction between the aerator and the pond and to predict the oxygen profiles of the water. Time-series simulations were performed to estimate the potential savings for a pond in Bangladesh, with and without the use of a feedback system. Results showed that the use of a control system led to an average of 66.0% in energy savings. Field validation experiments indicated an average prediction error of 3.64% and 4.91% for the top and bottom layers of the pond.
590
$a
School code: 0779.
650
4
$a
Mechanical engineering.
$3
649730
650
4
$a
Energy.
$3
876794
650
4
$a
Computational physics.
$3
3343998
650
4
$a
Aeronomy.
$3
2102064
650
4
$a
Hydrologic sciences.
$3
3168407
650
4
$a
Water resources management.
$3
794747
653
$a
Aeration
653
$a
Aquaculture
653
$a
Computational Fluid Dynamics
653
$a
Control Systems
653
$a
Dissolved Oxygen Modelling
690
$a
0548
690
$a
0791
690
$a
0216
690
$a
0367
690
$a
0388
690
$a
0595
710
2
$a
University of Toronto (Canada).
$b
Mechanical and Industrial Engineering.
$3
2100959
773
0
$t
Masters Abstracts International
$g
81-05.
790
$a
0779
791
$a
M.A.S.
792
$a
2019
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22618623
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9431919
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login