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Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1213
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dc.contributor.authorNag, Bodhibrata
dc.date.accessioned2021-08-26T06:05:19Z-
dc.date.available2021-08-26T06:05:19Z-
dc.date.issued2013
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84925598433&doi=10.1007%2fs40031-013-0041-4&partnerID=40&md5=ceadd1349a450c1c224aa8cb705d1335
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1213-
dc.descriptionNag, Bodhibrata, Operations Management Group, Indian Institute of Management, Kolkata, 700104, India
dc.descriptionISSN/ISBN - 22502106
dc.descriptionpp.43-51
dc.descriptionDOI - 10.1007/s40031-013-0041-4
dc.description.abstractA dynamic programming algorithm is proposed and demonstrated on a test case to determine the optimum operating schedule of a barrage tidal power plant to maximize the energy generation over a tidal cycle. Since consecutive sets of high and low tides can be predicted accurately for any tidal power plant site, this algorithm can be used to calculate the annual energy generation for different technical configurations of the plant. Thus an optimal choice of a tidal power plant design can be made from amongst different design configurations yielding the least cost of energy generation. Since this algorithm determines the optimal time of operation of sluice gate opening and turbine gates opening to maximize energy generation over a tidal cycle, it can also be used to obtain the annual schedule of operation of a tidal power plant and the minute-to-minute energy generation, for dissemination amongst power distribution utilities. � 2013, The Institution of Engineers (India).
dc.publisherSCOPUS
dc.publisherJournal of The Institution of Engineers (India): Series B
dc.publisherSpringer India
dc.relation.ispartofseries94(1)
dc.subjectDesign optimization
dc.subjectDynamic programming
dc.subjectOperations research
dc.subjectOptimal scheduling
dc.subjectTidal power
dc.titleA Dynamic Programming Algorithm for Optimal Design of Tidal Power Plants
dc.typeArticle
Appears in Collections:Operations Management

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