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Decision Analysis and Policy Formula...

Okioga, Irene Teshamulwa.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Decision Analysis and Policy Formulation for Technology-Specific Renewable Energy Targets./
Author:	Okioga, Irene Teshamulwa.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	229 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Energy. -
Online resource:	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.
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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.
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710 2 $a The University of North Carolina at Charlotte. $b Infrastructure & Environmental Systems. $3 3180175
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