東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Impact of Sensing and Occupancy Para...

Dong, Hao,

Linked to FindBook

Google Book

Amazon

博客來

Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings // Hao Dong.
Author:	Dong, Hao,
Description:	1 electronic resource (133 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-10, Section: B.
Contained By:	Dissertations Abstracts International85-10B.
Subject:	Energy. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31147458
ISBN:	9798382260341

Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings /
Dong, Hao,

Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings /Hao Dong. - 1 electronic resource (133 pages)

Source: Dissertations Abstracts International, Volume: 85-10, Section: B.

In the United States, the residential and commercial sectors have consumed increasingly more energy over the past 70 years. As the U.S. shifts towards a carbon-neutral electric grid, electrification using fossil fuel-free, renewable energy resources such as wind and solar will help to reduce greenhouse gas (GHG) emissions. To reduce the need for fossil fuels and utilize energy more efficiently, technologies and policies are introduced to help decrease the demand-side intensity of building sectors. Three issues are addressed in this research to support the goals of smart buildings or net energy-zero buildings (NEZB) to achieve human comfort and demand-side management (DSM): sensing technology sensitivity for smart building controls, occupants' patterns and correlations in residential buildings, and appliance use in residential buildings.First, there has been a lack of studies and guidance on the appropriate placement of various sensors within a building and how this sensor placement impacts building control performance. This research thus first investigates (i) how sensitive controls of buildings are to sensor placement, in particular, sensor location and orientation. Sensor placement impact analysis helps to investigate the impact on energy use and demand for an integrated lighting and shading control system. Second, various studies have shown that occupancy-related factors in energy modeling can create significant differences in building energy consumption. Human-related factors, especially occupants' activities and behavior, are less well understood, especially in the wake of lifestyle changes that have occurred as a result of the pandemic. This research thus (ii) assesses and quantifies the changes to occupancy patterns and the relationship to the socioeconomic factors that have occurred due to the COVID-19 pandemic. Finally, the third topic focuses on demand-side management (DSM), which enables the ability to control the quantity and timing of electricity consumption. Approximately one-third of this consumption is from large appliances, many of which are occupancy-driven loads. Historically, energy use information for estimating the energy use of individual appliances has originated from a combination of field-collected and simulated data. However, this data originates from sources assessing pre-pandemic energy consumption patterns, thus there is a need to (iii) assess how energy use patterns of appliances have changed during and post-pandemic. This research thus helps to estimate demand reduction opportunities from the use of appliances in DSM applications.

English

ISBN: 9798382260341Subjects--Topical Terms:

876794
Energy.
Subjects--Index Terms:

Buildings

Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings /
LDR:04085nmm a22004453i 4500 001 2429319
005 20250430100758.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798382260341
035 $a (MiAaPQD)AAI31147458
035 $a AAI31147458
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Dong, Hao, $e author. $0 (orcid)0000-0002-9825-285X $3 3817094
245 1 0 $a Impact of Sensing and Occupancy Parameters to Achieve Comfort and Demand Side Management in Buildings / $c Hao Dong.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (133 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: 85-10, Section: B.
500 $a Advisors: Cetin, Kristen Committee members: Ghamami, Mehrnaz; Lu, Weiyi; Zhao, Dong.
502 $b Ph.D. $c Michigan State University $d 2024.
520 $a In the United States, the residential and commercial sectors have consumed increasingly more energy over the past 70 years. As the U.S. shifts towards a carbon-neutral electric grid, electrification using fossil fuel-free, renewable energy resources such as wind and solar will help to reduce greenhouse gas (GHG) emissions. To reduce the need for fossil fuels and utilize energy more efficiently, technologies and policies are introduced to help decrease the demand-side intensity of building sectors. Three issues are addressed in this research to support the goals of smart buildings or net energy-zero buildings (NEZB) to achieve human comfort and demand-side management (DSM): sensing technology sensitivity for smart building controls, occupants' patterns and correlations in residential buildings, and appliance use in residential buildings.First, there has been a lack of studies and guidance on the appropriate placement of various sensors within a building and how this sensor placement impacts building control performance. This research thus first investigates (i) how sensitive controls of buildings are to sensor placement, in particular, sensor location and orientation. Sensor placement impact analysis helps to investigate the impact on energy use and demand for an integrated lighting and shading control system. Second, various studies have shown that occupancy-related factors in energy modeling can create significant differences in building energy consumption. Human-related factors, especially occupants' activities and behavior, are less well understood, especially in the wake of lifestyle changes that have occurred as a result of the pandemic. This research thus (ii) assesses and quantifies the changes to occupancy patterns and the relationship to the socioeconomic factors that have occurred due to the COVID-19 pandemic. Finally, the third topic focuses on demand-side management (DSM), which enables the ability to control the quantity and timing of electricity consumption. Approximately one-third of this consumption is from large appliances, many of which are occupancy-driven loads. Historically, energy use information for estimating the energy use of individual appliances has originated from a combination of field-collected and simulated data. However, this data originates from sources assessing pre-pandemic energy consumption patterns, thus there is a need to (iii) assess how energy use patterns of appliances have changed during and post-pandemic. This research thus helps to estimate demand reduction opportunities from the use of appliances in DSM applications.
546 $a English
590 $a School code: 0128
650 4 $a Energy. $3 876794
650 4 $a Remote sensing. $3 535394
650 4 $a Electrical engineering. $3 649834
653 $a Buildings
653 $a Demand side management
653 $a Human comfort
653 $a Occupancy patterns
653 $a Sensing technology
690 $a 0543
690 $a 0544
690 $a 0799
690 $a 0791
710 2 $a Michigan State University. $b Civil Engineering - Doctor of Philosophy. $e degree granting institution. $3 3815337
720 1 $a Cetin, Kristen $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-10B.
790 $a 0128
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31147458