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
Linked to FindBook
Google Book
Amazon
博客來
Modeling Energy and Material Use of Buildings at Urban Scale.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling Energy and Material Use of Buildings at Urban Scale./
Author:
Mohammadiziazi, Rezvan.
Description:
1 online resource (222 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
Contained By:
Dissertations Abstracts International84-06B.
Subject:
Geographic information systems. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30163950click for full text (PQDT)
ISBN:
9798358407053
Modeling Energy and Material Use of Buildings at Urban Scale.
Mohammadiziazi, Rezvan.
Modeling Energy and Material Use of Buildings at Urban Scale.
- 1 online resource (222 pages)
Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
Thesis (Ph.D.)--University of Pittsburgh, 2022.
Includes bibliographical references
In the past decade, scientific efforts to address the urgency of energy consumption and greenhouse gas (GHG) emissions from the building sector have increased. Buildings in the U.S. account for 39% of energy use and 38% of GHG emissions, contributing to adverse environmental and climate change impacts. Commercial buildings are responsible for approximately half of the total energy consumption. Given that more than 80% of the U.S. population lives in cities and urban areas, the role of urban buildings in energy consumption and emissions has become more crucial. Research about simulating energy consumption, modeling material use, and assessing the environmental impacts of buildings has increased; however, there are still issues that need to be addressed especially at the urban scale. The goal of this dissertation was to advance the sustainability of buildings by investigating the energy consumption and the embedded materials of existing building stocks. The energy use of buildings in the presence of climate change throughout the 21st century was estimated by integrating machine learning and climate change science. Most regions in the U.S. will experience increase in energy use. Further, to understand the trend of building energy use and evaluate the impacts of energy efficiency strategies at the urban scale, an urban building energy model was developed. This model also introduced a novel photogrammetry and imaging framework. The outcomes revealed that energy use was correlated to building use type and the implementation of efficiency strategies reduced energy use effectively. The gaps and barriers in analyzing the material stock of buildings were identified by the critical review of the state of the art in this field to understand how building material stock analysis can contribute to and improve the circular economy of buildings. Finally, quantifying the accumulated materials and renovation flow of a building stock showed that brick and concrete had the highest share of accumulated materials and renovation flow. Moreover, there were significant variations in material distribution of different building components. The knowledge about the type, quantity, and time of availability of materials upon renovation and demolition was crucial for closing the resource loop and reducing waste.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798358407053Subjects--Topical Terms:
542758
Geographic information systems.
Index Terms--Genre/Form:
542853
Electronic books.
Modeling Energy and Material Use of Buildings at Urban Scale.
LDR
:03661nmm a2200409K 4500
001
2357142
005
20230512095911.5
006
m o d
007
cr mn ---uuuuu
008
241011s2022 xx obm 000 0 eng d
020
$a
9798358407053
035
$a
(MiAaPQ)AAI30163950
035
$a
(MiAaPQ)Pittsburgh43361
035
$a
AAI30163950
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Mohammadiziazi, Rezvan.
$3
3697663
245
1 0
$a
Modeling Energy and Material Use of Buildings at Urban Scale.
264
0
$c
2022
300
$a
1 online resource (222 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
500
$a
Advisor: Bilec, Melissa.
502
$a
Thesis (Ph.D.)--University of Pittsburgh, 2022.
504
$a
Includes bibliographical references
520
$a
In the past decade, scientific efforts to address the urgency of energy consumption and greenhouse gas (GHG) emissions from the building sector have increased. Buildings in the U.S. account for 39% of energy use and 38% of GHG emissions, contributing to adverse environmental and climate change impacts. Commercial buildings are responsible for approximately half of the total energy consumption. Given that more than 80% of the U.S. population lives in cities and urban areas, the role of urban buildings in energy consumption and emissions has become more crucial. Research about simulating energy consumption, modeling material use, and assessing the environmental impacts of buildings has increased; however, there are still issues that need to be addressed especially at the urban scale. The goal of this dissertation was to advance the sustainability of buildings by investigating the energy consumption and the embedded materials of existing building stocks. The energy use of buildings in the presence of climate change throughout the 21st century was estimated by integrating machine learning and climate change science. Most regions in the U.S. will experience increase in energy use. Further, to understand the trend of building energy use and evaluate the impacts of energy efficiency strategies at the urban scale, an urban building energy model was developed. This model also introduced a novel photogrammetry and imaging framework. The outcomes revealed that energy use was correlated to building use type and the implementation of efficiency strategies reduced energy use effectively. The gaps and barriers in analyzing the material stock of buildings were identified by the critical review of the state of the art in this field to understand how building material stock analysis can contribute to and improve the circular economy of buildings. Finally, quantifying the accumulated materials and renovation flow of a building stock showed that brick and concrete had the highest share of accumulated materials and renovation flow. Moreover, there were significant variations in material distribution of different building components. The knowledge about the type, quantity, and time of availability of materials upon renovation and demolition was crucial for closing the resource loop and reducing waste.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2023
538
$a
Mode of access: World Wide Web
650
4
$a
Geographic information systems.
$3
542758
650
4
$a
Energy modeling.
$3
3683859
650
4
$a
Greenhouse effect.
$3
3562309
650
4
$a
Climate change.
$2
bicssc
$3
2079509
650
4
$a
Sustainability.
$3
1029978
650
4
$a
Support vector machines.
$3
2058743
650
4
$a
Computer science.
$3
523869
650
4
$a
Energy.
$3
876794
650
4
$a
Geographic information science.
$3
3432445
650
4
$a
Information science.
$3
554358
650
4
$a
Information technology.
$3
532993
655
7
$a
Electronic books.
$2
lcsh
$3
542853
690
$a
0640
690
$a
0404
690
$a
0800
690
$a
0984
690
$a
0791
690
$a
0370
690
$a
0723
690
$a
0489
710
2
$a
ProQuest Information and Learning Co.
$3
783688
710
2
$a
University of Pittsburgh.
$3
958527
773
0
$t
Dissertations Abstracts International
$g
84-06B.
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30163950
$z
click for full text (PQDT)
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
W9479498
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