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dc.contributor.author Kotula, Agnieszka Stefania en_US
dc.date.accessioned 2007-05-15T19:04:57Z
dc.date.available 2007-05-15T19:04:57Z
dc.date.issued 1997-08-01T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/1185
dc.description.abstract Motivation to provide sustainable development for the benefit of present and future generations has led engineers to search for improved design techniques which address all system impacts. The construction of multipurpose reservoirs is a good example of the difficulty in achieving sustainable development given the grand scale, and complex nature of project impacts on society, environment, and the economy. Sustainability of reservoirs implies a need for the control and adjustment of reservoir design nd operation characteristics, resulting in optimal, or near optimal system performance throughout the life time of the reservoir. This work focuses on Milan Zeleny's de novo programming, a system design approach which links system flexibility, efficiency, and optimal system design. It is shown that within multiobjective decision making framework, de novo programming may allow the decision maker to achieve an ideal or metaoptimal system performance, or improve the performance of compromise solutions, through the modification or shaping of the feasible region of decision alternatives. As a result, this method shifts the traditional approach of optimization, from optimization of a given reservoir system, to the design of the optimal reservoir system. If the formulation of system impacts is possible at the design stage, de novo programming may be used as a tool for sustainable reservoir design. en_US
dc.format.extent 10067497 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.title Toward sustainable reservoir design, application of de novo programming en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Civil Engineering en_US
dc.degree.level Master of Science (M.Sc.) en_US


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