The learning potential of photovoltaics: implications for energy policy

This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible de...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Energy policy 2004-09, Vol.32 (13), p.1545-1554
Hauptverfasser: van der Zwaan, Bob, Rabl, Ari
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1554
container_issue 13
container_start_page 1545
container_title Energy policy
container_volume 32
creator van der Zwaan, Bob
Rabl, Ari
description This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible decreases of these costs are assessed, as expected based on learning curves. The cumulative production needed to reach ‘breakeven’ (at which PV is competitive with conventional alternatives) is estimated for a range of values of the learning curve parameter. The cost of this cumulative production is calculated, and the question is posed whether and how the ‘cost cap’ can be bridged, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if external costs (due to environmental and health damage) of energy were internalised, for example by an energy tax. The conclusions are: (1) mainly due its high costs, PV electricity is unlikely to play a major role in global energy supply and carbon emissions abatement before 2020, (2) extrapolating past learning curves, one can expect its costs to decrease significantly, so that a considerable PV electricity share world-wide could materialise after 2020, (3) niche-market applications, e.g. using stand-alone systems in remote areas, are crucial for continuing “the ride along the learning curve”, (4) damage costs of conventional (fossil) power sources are considerable, and they could provide an important part of the rationale behind major policy efforts to encourage increased use of PV. The costs involved with such policies would be elevated, but a considerable share of these costs could be justified by the fact that conventional power damage costs constitute a significant fraction of the cost gap, although probably not enough to close it.
doi_str_mv 10.1016/S0301-4215(03)00126-5
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_58862845</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0301421503001265</els_id><sourcerecordid>37883205</sourcerecordid><originalsourceid>FETCH-LOGICAL-c730t-47a35c5e9752be3c7574f3f07cee5bfad003a759dc83e5a2cb288380bfcdc4a63</originalsourceid><addsrcrecordid>eNqFkV9rFDEUxQdRcK1-BGEQlPow9ubfJOuLSNEqtPhgfQ7ZzJ1uymwyJrML--17Z7dU8GUDNwnhd08O91TVWwafGLD24jcIYI3kTJ2D-AjAeNuoZ9WCGS2aVmv9vFo8IS-rV6XcA4A0S7morm7XWA_ocgzxrh7ThHEKbqhTX4_rNKVdGiYXfPlch804BO-mkGKp-5RrjJjv9tRDz_vX1YveDQXfPJ5n1Z_v324vfzTXv65-Xn69brwWMDVSO6G8wqVWfIXCa6VlL3rQHlGtetcBCKfVsvNGoHLcr7gxwsCq952XrhVn1Yej7pjT3y2WyW5C8TgMLmLaFquMabmR6iQoNAlzOA1ymE22p79mUpP7g-K7_8D7tM2RxmLnD5lSmhGkjpDPqZSMvR1z2Li8twzsHKs9xGrnzCwIe4jVzuI3x76MI_qnJqQVkbKwOyuc4LTtqTjlTEegYoK2cb4oqSyZkHY9bUjv_aNZV7wb-uyiD-WfGdUaQeMk7suRQ0p3FzDb4gNGj13I6CfbpXDC-QNuDs9p</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>205315571</pqid></control><display><type>article</type><title>The learning potential of photovoltaics: implications for energy policy</title><source>RePEc</source><source>Elsevier ScienceDirect Journals Complete</source><source>PAIS Index</source><creator>van der Zwaan, Bob ; Rabl, Ari</creator><creatorcontrib>van der Zwaan, Bob ; Rabl, Ari</creatorcontrib><description>This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible decreases of these costs are assessed, as expected based on learning curves. The cumulative production needed to reach ‘breakeven’ (at which PV is competitive with conventional alternatives) is estimated for a range of values of the learning curve parameter. The cost of this cumulative production is calculated, and the question is posed whether and how the ‘cost cap’ can be bridged, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if external costs (due to environmental and health damage) of energy were internalised, for example by an energy tax. The conclusions are: (1) mainly due its high costs, PV electricity is unlikely to play a major role in global energy supply and carbon emissions abatement before 2020, (2) extrapolating past learning curves, one can expect its costs to decrease significantly, so that a considerable PV electricity share world-wide could materialise after 2020, (3) niche-market applications, e.g. using stand-alone systems in remote areas, are crucial for continuing “the ride along the learning curve”, (4) damage costs of conventional (fossil) power sources are considerable, and they could provide an important part of the rationale behind major policy efforts to encourage increased use of PV. The costs involved with such policies would be elevated, but a considerable share of these costs could be justified by the fact that conventional power damage costs constitute a significant fraction of the cost gap, although probably not enough to close it.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/S0301-4215(03)00126-5</identifier><identifier>CODEN: ENPYAC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Cost analysis ; Cost gap ; Cost reduction ; Cost reductions ; Costs ; Economic aspects ; Economic data ; Electric power ; Electricity ; Energy ; Energy consumption ; Energy economics ; Energy policy ; Environmental aspects ; Environmental damage costs ; Environmental degradation ; Environmental impact ; Exact sciences and technology ; Experience curves ; External costs ; Externalities ; General, economic and professional studies ; Learning curves ; Natural energy ; Photovoltaic cells ; Photovoltaic electricity ; Photovoltaic power generation ; Pollution control ; Power supply ; Renewable energy sources ; Solar energy ; Studies</subject><ispartof>Energy policy, 2004-09, Vol.32 (13), p.1545-1554</ispartof><rights>2003 Elsevier Ltd</rights><rights>2004 INIST-CNRS</rights><rights>Copyright Elsevier Science Ltd. Sep 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c730t-47a35c5e9752be3c7574f3f07cee5bfad003a759dc83e5a2cb288380bfcdc4a63</citedby><cites>FETCH-LOGICAL-c730t-47a35c5e9752be3c7574f3f07cee5bfad003a759dc83e5a2cb288380bfcdc4a63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301421503001265$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,3994,27842,27843,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=15683453$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeeenepol/v_3a32_3ay_3a2004_3ai_3a13_3ap_3a1545-1554.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>van der Zwaan, Bob</creatorcontrib><creatorcontrib>Rabl, Ari</creatorcontrib><title>The learning potential of photovoltaics: implications for energy policy</title><title>Energy policy</title><description>This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible decreases of these costs are assessed, as expected based on learning curves. The cumulative production needed to reach ‘breakeven’ (at which PV is competitive with conventional alternatives) is estimated for a range of values of the learning curve parameter. The cost of this cumulative production is calculated, and the question is posed whether and how the ‘cost cap’ can be bridged, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if external costs (due to environmental and health damage) of energy were internalised, for example by an energy tax. The conclusions are: (1) mainly due its high costs, PV electricity is unlikely to play a major role in global energy supply and carbon emissions abatement before 2020, (2) extrapolating past learning curves, one can expect its costs to decrease significantly, so that a considerable PV electricity share world-wide could materialise after 2020, (3) niche-market applications, e.g. using stand-alone systems in remote areas, are crucial for continuing “the ride along the learning curve”, (4) damage costs of conventional (fossil) power sources are considerable, and they could provide an important part of the rationale behind major policy efforts to encourage increased use of PV. The costs involved with such policies would be elevated, but a considerable share of these costs could be justified by the fact that conventional power damage costs constitute a significant fraction of the cost gap, although probably not enough to close it.</description><subject>Applied sciences</subject><subject>Cost analysis</subject><subject>Cost gap</subject><subject>Cost reduction</subject><subject>Cost reductions</subject><subject>Costs</subject><subject>Economic aspects</subject><subject>Economic data</subject><subject>Electric power</subject><subject>Electricity</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Energy economics</subject><subject>Energy policy</subject><subject>Environmental aspects</subject><subject>Environmental damage costs</subject><subject>Environmental degradation</subject><subject>Environmental impact</subject><subject>Exact sciences and technology</subject><subject>Experience curves</subject><subject>External costs</subject><subject>Externalities</subject><subject>General, economic and professional studies</subject><subject>Learning curves</subject><subject>Natural energy</subject><subject>Photovoltaic cells</subject><subject>Photovoltaic electricity</subject><subject>Photovoltaic power generation</subject><subject>Pollution control</subject><subject>Power supply</subject><subject>Renewable energy sources</subject><subject>Solar energy</subject><subject>Studies</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>7TQ</sourceid><recordid>eNqFkV9rFDEUxQdRcK1-BGEQlPow9ubfJOuLSNEqtPhgfQ7ZzJ1uymwyJrML--17Z7dU8GUDNwnhd08O91TVWwafGLD24jcIYI3kTJ2D-AjAeNuoZ9WCGS2aVmv9vFo8IS-rV6XcA4A0S7morm7XWA_ocgzxrh7ThHEKbqhTX4_rNKVdGiYXfPlch804BO-mkGKp-5RrjJjv9tRDz_vX1YveDQXfPJ5n1Z_v324vfzTXv65-Xn69brwWMDVSO6G8wqVWfIXCa6VlL3rQHlGtetcBCKfVsvNGoHLcr7gxwsCq952XrhVn1Yej7pjT3y2WyW5C8TgMLmLaFquMabmR6iQoNAlzOA1ymE22p79mUpP7g-K7_8D7tM2RxmLnD5lSmhGkjpDPqZSMvR1z2Li8twzsHKs9xGrnzCwIe4jVzuI3x76MI_qnJqQVkbKwOyuc4LTtqTjlTEegYoK2cb4oqSyZkHY9bUjv_aNZV7wb-uyiD-WfGdUaQeMk7suRQ0p3FzDb4gNGj13I6CfbpXDC-QNuDs9p</recordid><startdate>20040901</startdate><enddate>20040901</enddate><creator>van der Zwaan, Bob</creator><creator>Rabl, Ari</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7U6</scope></search><sort><creationdate>20040901</creationdate><title>The learning potential of photovoltaics: implications for energy policy</title><author>van der Zwaan, Bob ; Rabl, Ari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c730t-47a35c5e9752be3c7574f3f07cee5bfad003a759dc83e5a2cb288380bfcdc4a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Cost analysis</topic><topic>Cost gap</topic><topic>Cost reduction</topic><topic>Cost reductions</topic><topic>Costs</topic><topic>Economic aspects</topic><topic>Economic data</topic><topic>Electric power</topic><topic>Electricity</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Energy economics</topic><topic>Energy policy</topic><topic>Environmental aspects</topic><topic>Environmental damage costs</topic><topic>Environmental degradation</topic><topic>Environmental impact</topic><topic>Exact sciences and technology</topic><topic>Experience curves</topic><topic>External costs</topic><topic>Externalities</topic><topic>General, economic and professional studies</topic><topic>Learning curves</topic><topic>Natural energy</topic><topic>Photovoltaic cells</topic><topic>Photovoltaic electricity</topic><topic>Photovoltaic power generation</topic><topic>Pollution control</topic><topic>Power supply</topic><topic>Renewable energy sources</topic><topic>Solar energy</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van der Zwaan, Bob</creatorcontrib><creatorcontrib>Rabl, Ari</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van der Zwaan, Bob</au><au>Rabl, Ari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The learning potential of photovoltaics: implications for energy policy</atitle><jtitle>Energy policy</jtitle><date>2004-09-01</date><risdate>2004</risdate><volume>32</volume><issue>13</issue><spage>1545</spage><epage>1554</epage><pages>1545-1554</pages><issn>0301-4215</issn><eissn>1873-6777</eissn><coden>ENPYAC</coden><abstract>This article examines the prospects for cost reductions of flat panel photovoltaic (PV) electricity. Current PV production cost ranges are presented, in terms of cost per peak W and cost per kWh, for single crystalline and multi-crystalline silicon, as well as for thin-film technologies. Possible decreases of these costs are assessed, as expected based on learning curves. The cumulative production needed to reach ‘breakeven’ (at which PV is competitive with conventional alternatives) is estimated for a range of values of the learning curve parameter. The cost of this cumulative production is calculated, and the question is posed whether and how the ‘cost cap’ can be bridged, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if external costs (due to environmental and health damage) of energy were internalised, for example by an energy tax. The conclusions are: (1) mainly due its high costs, PV electricity is unlikely to play a major role in global energy supply and carbon emissions abatement before 2020, (2) extrapolating past learning curves, one can expect its costs to decrease significantly, so that a considerable PV electricity share world-wide could materialise after 2020, (3) niche-market applications, e.g. using stand-alone systems in remote areas, are crucial for continuing “the ride along the learning curve”, (4) damage costs of conventional (fossil) power sources are considerable, and they could provide an important part of the rationale behind major policy efforts to encourage increased use of PV. The costs involved with such policies would be elevated, but a considerable share of these costs could be justified by the fact that conventional power damage costs constitute a significant fraction of the cost gap, although probably not enough to close it.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/S0301-4215(03)00126-5</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0301-4215
ispartof Energy policy, 2004-09, Vol.32 (13), p.1545-1554
issn 0301-4215
1873-6777
language eng
recordid cdi_proquest_miscellaneous_58862845
source RePEc; Elsevier ScienceDirect Journals Complete; PAIS Index
subjects Applied sciences
Cost analysis
Cost gap
Cost reduction
Cost reductions
Costs
Economic aspects
Economic data
Electric power
Electricity
Energy
Energy consumption
Energy economics
Energy policy
Environmental aspects
Environmental damage costs
Environmental degradation
Environmental impact
Exact sciences and technology
Experience curves
External costs
Externalities
General, economic and professional studies
Learning curves
Natural energy
Photovoltaic cells
Photovoltaic electricity
Photovoltaic power generation
Pollution control
Power supply
Renewable energy sources
Solar energy
Studies
title The learning potential of photovoltaics: implications for energy policy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T13%3A07%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20learning%20potential%20of%20photovoltaics:%20implications%20for%20energy%20policy&rft.jtitle=Energy%20policy&rft.au=van%20der%20Zwaan,%20Bob&rft.date=2004-09-01&rft.volume=32&rft.issue=13&rft.spage=1545&rft.epage=1554&rft.pages=1545-1554&rft.issn=0301-4215&rft.eissn=1873-6777&rft.coden=ENPYAC&rft_id=info:doi/10.1016/S0301-4215(03)00126-5&rft_dat=%3Cproquest_cross%3E37883205%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=205315571&rft_id=info:pmid/&rft_els_id=S0301421503001265&rfr_iscdi=true