Toward sustainable reservoir design, application of de novo programming

dc.contributor.authorKotula, Agnieszka Stefaniaen_US
dc.date.accessioned2007-05-15T19:04:57Z
dc.date.available2007-05-15T19:04:57Z
dc.date.issued1997-08-01T00:00:00Zen_US
dc.degree.disciplineCivil Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractMotivation 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.extent10067497 bytes
dc.format.extent184 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.identifier.urihttp://hdl.handle.net/1993/1185
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.titleToward sustainable reservoir design, application of de novo programmingen_US
dc.typemaster thesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
mq23369.pdf
Size:
9.6 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
184 B
Format:
Plain Text
Description: