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dc.contributor.authorDali T. Laxton
dc.date.accessioned2022-05-07T21:06:49Z
dc.date.available2022-05-07T21:06:49Z
dc.date.issued2022-03-17
dc.identifier.other(ASCE)EY.1943-7897.0000838.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283341
dc.description.abstractWhen technological innovations are implemented in the wind energy sector, one should observe reductions in the production cost of electricity. However, the accuracy of inferring the rate of innovation from production cost reductions is open to challenge when those costs change due to factors not attributable to technological innovation. To control for such factors, this study applies engineering models and derives production cost reduction trends through changes in the technical parameters of wind turbines. The obtained innovation measure is unlikely to be affected by the noninnovative determinants of the production cost as long as the underlying engineering models are accurate. The usefulness of the generated innovation measure is illustrated in the context of learning curve literature.
dc.publisherASCE
dc.titleNovel Measure of Innovation: Application to the Onshore Wind Energy Sector in the US
dc.typeJournal Paper
dc.journal.volume148
dc.journal.issue3
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/(ASCE)EY.1943-7897.0000838
dc.journal.fristpage04022012
dc.journal.lastpage04022012-9
dc.page9
dc.treeJournal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 003
dc.contenttypeFulltext


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