NDLI: Optimal Water Allocation for an Alpine Hydropower System Under Changing Scenarios

Content Provider	Springer Nature Link
Author	Alfieri, Lorenzo Perona, Paolo Burlando, Paolo
Copyright Year	2006
Abstract	The operating rules of water allocation in the alpine OFIMA hydropower network of the Maggia River basin (Canton Tessin, Switzerland) are investigated in response to changes in the production policy and environmental and climatic factors. The study was carried out by means of a nonlinear programming approach where the objective function is approximated to a quadratic form with linear constraints, and implemented on a monthly time scale. Two systemís configurations with different details were accordingly investigated and compared to assess the response of the hydropower network to changes in the production policy, in the magnitude of the inflows and to different environmental requests. The optimal solution of water allocation corresponding to the new hypothetical production policy shows marked differences but similar benefits when compared to the one of the present operating rules, thus suggesting the good flexibility of the real network under such change. In its whole, this paper therefore highlights the importance of supporting strategic decisions by means of informatics tools and, in addiction, it provides a useful case study to test the performances of the software AQUARIUS implementing such a nonlinear programming technique.
Starting Page	761
Ending Page	778
Page Count	18
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	20
Issue Number	5
e-ISSN	15731650
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-05-20
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	water allocation optimization problem quadratic programming AQUARIUS climate change Environment Civil Engineering Geotechnical Engineering Meteorology/Climatology Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

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