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

Novel Parametric Workflow for Simula...

Hashemi, Farzad.

Linked to FindBook

Google Book

Amazon

博客來

Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities./
Author:	Hashemi, Farzad.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	107 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
Subject:	Emissions. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720542
ISBN:	9798380730594

Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities.
Hashemi, Farzad.

Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 107 p.

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2023.

This item must not be sold to any third party vendors.

The urban heat island (UHI) effect is a well-documented phenomenon caused by urbanization, which refers to the difference between urban and rural temperatures. The rise in urban temperatures due to UHI poses a threat to the health and productivity of urban populations, while also affecting building energy usage by increasing energy consumption for cooling and decreasing it for heating. However, there is a lack of research on the specific impact of UHI on energy consumption in buildings using both urban and rural climatic data. The absence of a user-friendly workflow to incorporate this information into weather files used by architects, engineers, and urban planners is one of the primary reasons for this gap in understanding.To fill this gap, this study proposes a novel parametric workflow that combines the Local Climate Zones (LCZs) classification system and the Urban Weather Generator (UWG) tool to generate weather datasets that accurately incorporate the UHI effect. The proposed approach aims to estimate the UHI intensity at the city canopy level more accurately than existing methods. The methodology simulates UHI intensity over a year of simulation using meteorological weather data, and the UWG model provides urban weather data in EnergyPlus Weather format, which can be used for further use such as evaluating the UHI impacts on building energy performance or investigating the efficacy of mitigation strategies.The study investigates the impact of canopy heat islands on the energy consumption of different building types across seven cities in the United States using the proposed workflow. The results show that LCZ 1-Compact high-rise had the highest annual temperature variation, while LCZ 6 - Open low-rise recorded the lowest maximum UHI intensity. The impact of UHI was found to be most severe in cities located in hot-dry regions, while cities in mixed-humid regions experience the least effect. The study also found that heavy industry sites exhibit higher UHI intensity compared to many other LCZs.The results of this study highlight the importance of accounting for UHI impacts in building energy simulations and informs building design and energy management strategies to reduce energy consumption and associated greenhouse gas emissions. The proposed methodology has the potential to significantly contribute to the understanding of UHI effects and inform efforts to mitigate them in urban areas.

ISBN: 9798380730594Subjects--Topical Terms:

3559499
Emissions.
Subjects--Index Terms:

Urban heat island

Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities.
LDR:03812nmm a2200421 4500 001 2394024
005 20240414211950.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380730594
035 $a (MiAaPQ)AAI30720542
035 $a (MiAaPQ)PennState_21206fxh99
035 $a AAI30720542
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hashemi, Farzad. $3 3763513
245 1 0 $a Novel Parametric Workflow for Simulating Urban Heat Island Effects on Building Energy Performance: A Case Study of Seven U.S. Cities.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 107 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
500 $a Advisor: Iulo, Lisa Domenica;Poerschke, Ute.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The urban heat island (UHI) effect is a well-documented phenomenon caused by urbanization, which refers to the difference between urban and rural temperatures. The rise in urban temperatures due to UHI poses a threat to the health and productivity of urban populations, while also affecting building energy usage by increasing energy consumption for cooling and decreasing it for heating. However, there is a lack of research on the specific impact of UHI on energy consumption in buildings using both urban and rural climatic data. The absence of a user-friendly workflow to incorporate this information into weather files used by architects, engineers, and urban planners is one of the primary reasons for this gap in understanding.To fill this gap, this study proposes a novel parametric workflow that combines the Local Climate Zones (LCZs) classification system and the Urban Weather Generator (UWG) tool to generate weather datasets that accurately incorporate the UHI effect. The proposed approach aims to estimate the UHI intensity at the city canopy level more accurately than existing methods. The methodology simulates UHI intensity over a year of simulation using meteorological weather data, and the UWG model provides urban weather data in EnergyPlus Weather format, which can be used for further use such as evaluating the UHI impacts on building energy performance or investigating the efficacy of mitigation strategies.The study investigates the impact of canopy heat islands on the energy consumption of different building types across seven cities in the United States using the proposed workflow. The results show that LCZ 1-Compact high-rise had the highest annual temperature variation, while LCZ 6 - Open low-rise recorded the lowest maximum UHI intensity. The impact of UHI was found to be most severe in cities located in hot-dry regions, while cities in mixed-humid regions experience the least effect. The study also found that heavy industry sites exhibit higher UHI intensity compared to many other LCZs.The results of this study highlight the importance of accounting for UHI impacts in building energy simulations and informs building design and energy management strategies to reduce energy consumption and associated greenhouse gas emissions. The proposed methodology has the potential to significantly contribute to the understanding of UHI effects and inform efforts to mitigate them in urban areas.
590 $a School code: 0176.
650 4 $a Emissions. $3 3559499
650 4 $a Landscape architecture. $3 541842
650 4 $a Feedback. $3 677181
650 4 $a Energy consumption. $3 631630
650 4 $a Radiation. $3 673904
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Building construction. $3 2071835
650 4 $a Vegetation. $3 3560047
650 4 $a Cooling. $3 1457878
650 4 $a Greenhouse gases. $3 797971
650 4 $a Air conditioning. $3 660362
650 4 $a Atmosphere. $3 542821
650 4 $a Atmospheric boundary layer. $3 3688428
650 4 $a High rise buildings. $3 3560072
650 4 $a Rural areas. $3 3560074
650 4 $a Urban areas. $3 3546012
650 4 $a Urbanization. $3 535373
650 4 $a Cities. $3 3544022
650 4 $a Urban planning. $3 2122922
653 $a Urban heat island
653 $a Rural temperatures
653 $a Energy consumption
653 $a Building energy
653 $a Greenhouse gas
690 $a 0390
690 $a 0404
690 $a 0729
690 $a 0999
710 2 $a The Pennsylvania State University. $3 699896
773 0 $t Dissertations Abstracts International $g 85-05B.
790 $a 0176
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720542