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dc.contributor.authorWilson, Gregory
dc.contributor.authorNeedleman, David Berney
dc.contributor.authorPoindexter, Jeremy Roger
dc.contributor.authorKurchin, Rachel Chava
dc.contributor.authorPeters, Ian Marius
dc.contributor.authorBuonassisi, Anthony
dc.date.accessioned2017-05-25T23:10:18Z
dc.date.available2017-05-25T23:10:18Z
dc.date.issued2016-04
dc.date.submitted2016-02
dc.identifier.issn1754-5692
dc.identifier.issn1754-5706
dc.identifier.urihttp://hdl.handle.net/1721.1/109357
dc.description.abstractTo meet climate targets, power generation capacity from photovoltaics (PV) in 2030 will have to be much greater than is predicted from either steady state growth using today's manufacturing capacity or industry roadmaps. Analysis of whether current technology can scale, in an economically sustainable way, to sufficient levels to meet these targets has not yet been undertaken, nor have tools to perform this analysis been presented. Here, we use bottom-up cost modeling to predict cumulative capacity as a function of technological and economic variables. We find that today’s technology falls short in two ways: profits are too small relative to upfront factory costs to grow manufacturing capacity rapidly enough to meet climate targets, and costs are too high to generate enough demand to meet climate targets. We show that decreasing the capital intensity (capex) of PV manufacturing to increase manufacturing capacity and effectively reducing cost (e.g., through higher efficiency) to increase demand are the most effective and least risky ways to address these barriers to scale. We also assess the effects of variations in demand due to hard-to-predict factors, like public policy, on the necessary reductions in cost. Finally, we review examples of redundant technology pathways for crystalline silicon PV to achieve the necessary innovations in capex, performance, and price.en_US
dc.description.sponsorshipUnited States. Department of Energy. Office of Energy Efficiency and Renewable Energy (NSF Cooperative Agreement No. EEC-1041895)en_US
dc.description.sponsorshipUnited States. Department of Defense (American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/C6EE00484Aen_US
dc.rightsCreative Commons Attribution 3.0 Unported licenceen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.sourceRoyal Society of Chemistryen_US
dc.titleEconomically sustainable scaling of photovoltaics to meet climate targetsen_US
dc.typeArticleen_US
dc.identifier.citationNeedleman, David Berney, Jeremy R. Poindexter, Rachel C. Kurchin, I. Marius Peters, Gregory Wilson, and Tonio Buonassisi. “Economically Sustainable Scaling of Photovoltaics to Meet Climate Targets.” Energy Environ. Sci. 9, no. 6 (2016): 2122–2129. © 2016 The Royal Society of Chemistryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Photovoltaic Research Laboratoryen_US
dc.contributor.mitauthorNeedleman, David Berney
dc.contributor.mitauthorPoindexter, Jeremy Roger
dc.contributor.mitauthorKurchin, Rachel Chava
dc.contributor.mitauthorPeters, Ian Marius
dc.contributor.mitauthorBuonassisi, Anthony
dc.relation.journalEnergy and Environmental Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNeedleman, David Berney; Poindexter, Jeremy R.; Kurchin, Rachel C.; Marius Peters, I.; Wilson, Gregory; Buonassisi, Tonioen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6616-9867
dc.identifier.orcidhttps://orcid.org/0000-0002-2147-4809
dc.identifier.orcidhttps://orcid.org/0000-0001-8345-4937
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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