東華大學圖書館 |

語系: 繁體中文

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

FindBook

Google Book

Amazon

博客來

Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert./
作者:	Wright, Scott A.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	58 p.
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28499283
ISBN:	9798534663440

Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert.
Wright, Scott A.

Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 58 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--University of Nevada, Reno, 2021.

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

In order to meet their own Renewable Portfolio Standards (RPS) Requirements for 2030, California and Nevada will need to significantly boost their production (and consumption) of renewable energy facilities if they are to reach their goals of 60% and 50%, respectively. In order to meet these goals and meet net generation for these requirements within their borders, significant land use changes will be made across the landscape, especially in the desert southwest where it is anticipated that most of these changes will occur. Due to its 30 million acres of land that hosts some of the highest solar radiation in the United States, the area around the Mojave Desert Ecoregion is the aim for new construction of Utility Scale Solar Electric (USSE), or solar facilities that produce >1 Megawatt in capacity. Using current population trends for California and Nevada, as well as total energy use per capita, along with other energy-related measures, the estimated energy demands of California and Nevada by 2030 will be around 395,000 Gigawatt Hours, with 233,000 Gigawatt Hours having to come from renewables. If the nearly 440,000 acres of streamlined Bureau of Land Management (BLM) land available in this study area were fully developed using only USSE, 75% of the combined 2030 projected energy consumption needs could be met per the RPS goals of each state. With a full build-out of DFA lands not expected however, a developer predictability model was calculated of the current DFA sites to estimate which are most favorable to developers based on seven anthropogenic variables. I will be showing the developer suitability of streamlined Bureau of Land Management (BLM) land designated for USSE sites to weigh the influence of the seven different anthropogenic variables and their influence on developer site choices. These seven variables include distances to Main Roads, Substations, Transmission Lines, Energy Corridors, Urban Boundaries, other Solar Sites, as well as a Solar Potential variable. A General Additive Model showed that the highest weighted variables for 233 existing sites in the project boundary were most highly correlated to energy infrastructure with proximity to Substations, Transmission Lines, and other Solar Sites providing the most variable influence. An ensemble of the model outlined that only 34.8% of the available land for streamlined permitting falls into the upper half of the predictability threshold.

ISBN: 9798534663440Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Developer predictability model

Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert.
LDR:03851nmm a2200457 4500 001 2344180
005 20230315113025.5
006 m o d
007 cr#unu||||||||
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798534663440
035 $a (MiAaPQ)AAI28499283
035 $a AAI28499283
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wright, Scott A. $3 3682928
245 1 0 $a Utility Scale Solar Electric (USSE) and Land Use Implications of Meeting 2030 Renewable Energy Goals for California and Nevada in the Mojave Desert.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 58 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Bassett, Scott.
502 $a Thesis (M.S.)--University of Nevada, Reno, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a In order to meet their own Renewable Portfolio Standards (RPS) Requirements for 2030, California and Nevada will need to significantly boost their production (and consumption) of renewable energy facilities if they are to reach their goals of 60% and 50%, respectively. In order to meet these goals and meet net generation for these requirements within their borders, significant land use changes will be made across the landscape, especially in the desert southwest where it is anticipated that most of these changes will occur. Due to its 30 million acres of land that hosts some of the highest solar radiation in the United States, the area around the Mojave Desert Ecoregion is the aim for new construction of Utility Scale Solar Electric (USSE), or solar facilities that produce >1 Megawatt in capacity. Using current population trends for California and Nevada, as well as total energy use per capita, along with other energy-related measures, the estimated energy demands of California and Nevada by 2030 will be around 395,000 Gigawatt Hours, with 233,000 Gigawatt Hours having to come from renewables. If the nearly 440,000 acres of streamlined Bureau of Land Management (BLM) land available in this study area were fully developed using only USSE, 75% of the combined 2030 projected energy consumption needs could be met per the RPS goals of each state. With a full build-out of DFA lands not expected however, a developer predictability model was calculated of the current DFA sites to estimate which are most favorable to developers based on seven anthropogenic variables. I will be showing the developer suitability of streamlined Bureau of Land Management (BLM) land designated for USSE sites to weigh the influence of the seven different anthropogenic variables and their influence on developer site choices. These seven variables include distances to Main Roads, Substations, Transmission Lines, Energy Corridors, Urban Boundaries, other Solar Sites, as well as a Solar Potential variable. A General Additive Model showed that the highest weighted variables for 233 existing sites in the project boundary were most highly correlated to energy infrastructure with proximity to Substations, Transmission Lines, and other Solar Sites providing the most variable influence. An ensemble of the model outlined that only 34.8% of the available land for streamlined permitting falls into the upper half of the predictability threshold.
590 $a School code: 0139.
650 4 $a Geography. $3 524010
650 4 $a Alternative energy. $3 3436775
650 4 $a Environmental law. $3 560666
650 4 $a Land use planning. $3 2122760
650 4 $a Public policy. $3 532803
650 4 $a Civil engineering. $3 860360
650 4 $a Research. $3 531893
650 4 $a Roofing. $3 863517
650 4 $a Flooring. $3 3681658
650 4 $a Censuses. $3 3564174
650 4 $a Clean technology. $3 3564885
650 4 $a Construction costs. $3 3682929
650 4 $a Roads & highways. $3 3555163
650 4 $a Private property. $3 3682930
650 4 $a Environmental policy. $3 518940
650 4 $a Wildlife conservation. $2 fast $3 542165
650 4 $a Geology. $3 516570
650 4 $a Correspondence. $3 1973606
650 4 $a Electricity. $3 524507
650 4 $a Endangered & extinct species. $3 3560222
650 4 $a Public lands. $3 3564311
650 4 $a Geographic information systems. $3 542758
650 4 $a Coal-fired power plants. $3 671727
650 4 $a Boundaries. $3 545099
650 4 $a Urban areas. $3 3546012
650 4 $a Alternative energy sources. $3 3561089
650 4 $a Renewable resources. $3 3559207
653 $a Developer predictability model
653 $a Bureau of Land Management sites
653 $a Suitability
653 $a Energy infrastructure
653 $a Designated focus areas
690 $a 0366
690 $a 0630
690 $a 0536
690 $a 0439
690 $a 0363
690 $a 0543
690 $a 0372
690 $a 0284
710 2 $a University of Nevada, Reno. $b Geography. $3 1266342
773 0 $t Masters Abstracts International $g 83-02.
790 $a 0139
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28499283