The optimization of energy portfolio management (EPM): Framework and simulation

dc.contributor.advisorSamii, Massood
dc.contributor.authorChang, Yan
dc.contributor.committeeMemberNugent, Nicholas
dc.contributor.committeeMemberDhakar, Tej
dc.contributor.committeeMemberFicici, Aysun
dc.date.accessioned2012-06-12T19:42:45Z
dc.date.available2012-06-12T19:42:45Z
dc.date.copyright2011
dc.date.issued2011-09
dc.description.abstractWith the rapid increasing energy needs from all kinds of energy consumers, energy prices have increased dramatically, especially the price for fossil energy. How to lower energy consumption cost, which energy is optimal choice, and how social costs of energy will impact on energy consumption, these questions are addressed in this dissertation via Energy Portfolio Management (EPM) model with framework and simulation. The EPM model is established to find out an optimal energy solution which can provide useful guidance to energy consumers and policymakers about how to select optimal energy portfolio with lower cost and less risk. The conceptual framework presents the methodology of EPM, while EPM simulations demonstrate the selection of optimal energy choices, and further, the impacts of social cost on the optimal energy portfolio in the case of United States. The findings from EPM Simulations fall into three categories: 1)without considering social cost, biomass and coal are optimal choices and should consume at the maximum; 2)considering single social cost, coal and nuclear are favored only if social cost of coal is less than 100% of its private cost or social cost of nuclear is less than 300% of its private cost, otherwise, biomass is optimal; 3)considering all sorts of social costs simultaneously, optimal energy portfolio varies with the level of social cost: with low and central level of social cost, coal and nuclear are preferable due to their stable and lower cost; with high level of social cost, biomass, nuclear and potential natural gas are still favored, however the optimal solution will switch to favor biomass (if social cost of coal is more than 300% of its private cost or social cost of nuclear is 830% more than its private cost.en_US
dc.description.bibliographicCitationChang, Y. (2011). The optimization of energy portfolio management(EPM): Framework and simulation. Retrieved from http://academicarchive.snhu.eduen_US
dc.description.degreeDoctor of Philosophy (Ph.D.)en_US
dc.description.programInternational Businessen_US
dc.description.schoolSchool of Businessen_US
dc.digSpecsPDF/A-1ben_US
dc.format.extent9320352 bytesen_US
dc.format.mediaTypeapplication/pdfen_US
dc.identifier.urihttps://hdl.handle.net/10474/2294
dc.language.isoen_USen_US
dc.publisherSouthern New Hampshire Universityen_US
dc.relation.requiresAdobe Acrobat Readeren_US
dc.rightsAuthor retains all ownership rights. Further reproduction in violation of copyright is prohibiteden_US
dc.rightsHolderChang, Yan
dc.subject.lcshSouthern New Hampshire University -- Theses (International Business)en_US
dc.subject.otherenergyen_US
dc.subject.otherenergy pricesen_US
dc.subject.otherfossil fuelsen_US
dc.subject.otherenergy portfolio managementen_US
dc.subject.otherpeak oilen_US
dc.subject.othertraditional energyen_US
dc.subject.otherrenewable energyen_US
dc.titleThe optimization of energy portfolio management (EPM): Framework and simulationen_US
dc.typeDissertationen_US
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