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

Decision Analysis and Policy Formula...

Okioga, Irene Teshamulwa.

FindBook

Google Book

Amazon

博客來

Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets./
作者:	Okioga, Irene Teshamulwa.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	229 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
標題:	Energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10641679
ISBN:	9780355469011

Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets.
Okioga, Irene Teshamulwa.

Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 229 p.

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--The University of North Carolina at Charlotte, 2017.

This study establishes a decision making procedure using Analytic Hierarchy Process (AHP) for a U.S. national renewable portfolio standard, and proposes technology-specific targets for renewable electricity generation for the country. The study prioritizes renewable energy alternatives based on a multi-perspective view: from the public, policy makers, and investors' points-of-view, and uses multiple criteria for ranking the alternatives to generate a unified prioritization scheme. During this process, it considers a 'quadruple bottom-line' approach (4P), i.e. reflecting technical "progress", social "people", economic 'profits", and environmental "planet" factors.

ISBN: 9780355469011Subjects--Topical Terms:

876794
Energy.

Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets.
LDR:02978nmm a2200337 4500 001 2156231
005 20180517123957.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9780355469011
035 $a (MiAaPQ)AAI10641679
035 $a (MiAaPQ)uncc:11547
035 $a AAI10641679
040 $a MiAaPQ $c MiAaPQ
100 1 $a Okioga, Irene Teshamulwa. $3 3344000
245 1 0 $a Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 229 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: Yesim A. Sireli.
502 $a Thesis (Ph.D.)--The University of North Carolina at Charlotte, 2017.
520 $a This study establishes a decision making procedure using Analytic Hierarchy Process (AHP) for a U.S. national renewable portfolio standard, and proposes technology-specific targets for renewable electricity generation for the country. The study prioritizes renewable energy alternatives based on a multi-perspective view: from the public, policy makers, and investors' points-of-view, and uses multiple criteria for ranking the alternatives to generate a unified prioritization scheme. During this process, it considers a 'quadruple bottom-line' approach (4P), i.e. reflecting technical "progress", social "people", economic 'profits", and environmental "planet" factors.
520 $a The AHP results indicated that electricity generation from solar PV ranked highest, and biomass energy ranked lowest. A "Benefits/Cost Incentives/Mandates" (BCIM) model was developed to identify where mandates are needed, and where incentives would instead be required to bring down costs for technologies that have potential for profitable deployment. The BCIM model balances the development of less mature renewable energy technologies, without the potential for rising near-term electricity rates for consumers. It also ensures that recommended policies do not lead to growth of just one type of technology---the "highest-benefit, least-cost" technology. The model indicated that mandates would be suited for solar PV, and incentives generally for geothermal and concentrated solar power. Development for biomass energy, as a "low-cost, low-benefits" alternative was recommended at a local rather than national level, mainly due to its low resource potential values. Further, biomass energy generated from wastewater treatment plants (WWTPs) had the least resource potential compared to other biomass sources. The research developed methodologies and recommendations for biogas electricity targets at WWTPs, to take advantage of the waste-to-energy opportunities.
590 $a School code: 0694.
650 4 $a Energy. $3 876794
650 4 $a Environmental engineering. $3 548583
650 4 $a Public policy. $3 532803
650 4 $a Alternative Energy. $3 1035473
690 $a 0791
690 $a 0775
690 $a 0630
690 $a 0363
710 2 $a The University of North Carolina at Charlotte. $b Infrastructure & Environmental Systems. $3 3180175
773 0 $t Dissertation Abstracts International $g 79-03B(E).
790 $a 0694
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10641679