https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Nogueira_et_al_2008aNogueira et al 2008a - Revision history2026-05-07T18:31:19ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Nogueira_et_al_2008a&diff=204482&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 992595012 to Nogueira et al 2008a2021-02-03T15:13:23Z<p>Scipediacontent moved page <a href="/public/Draft_Content_992595012" class="mw-redirect" title="Draft Content 992595012">Draft Content 992595012</a> to <a href="/public/Nogueira_et_al_2008a" title="Nogueira et al 2008a">Nogueira et al 2008a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Nogueira_et_al_2008a&diff=204481&oldid=prevScipediacontent: Created page with " == Abstract == In this paper we study the optimal natural gas commitment for a known demand scenario. This study implies the best location of GSUs to supply all demands and..."2021-02-03T15:13:20Z<p>Created page with " == Abstract == In this paper we study the optimal natural gas commitment for a known demand scenario. This study implies the best location of GSUs to supply all demands and..."</p>
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== Abstract ==<br />
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In this paper we study the optimal natural gas commitment for a known demand scenario. This study implies the best location of GSUs to supply all demands and the optimal allocation from sources to gas loads, through an appropriate transportation mode, in order to minimize total system costs. Our emphasis is on the formulation and use of a suitable optimization model, reflecting real-world operations and the constraints of natural gas systems. The mathematical model is based on a Lagrangean heuristic, using the Lagrangean relaxation, an efficient approach to solve the problem. Computational results are presented for Iberian and American natural gas systems, geographically organized in 65 and 88 load nodes, respectively. The location model results, supported by the computational application GasView, show the optimal location and allocation solution, system total costs and suggest a suitable gas transportation mode, presented in both numerical and graphic supports.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://hdl.handle.net/10400.22/1512 http://hdl.handle.net/10400.22/1512]<br />
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* [http://xplorestaging.ieee.org/ielx5/4568047/4578994/04579070.pdf?arnumber=4579070 http://xplorestaging.ieee.org/ielx5/4568047/4578994/04579070.pdf?arnumber=4579070],<br />
: [http://dx.doi.org/10.1109/eem.2008.4579070 http://dx.doi.org/10.1109/eem.2008.4579070]<br />
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* [https://ieeexplore.ieee.org/document/4579070 https://ieeexplore.ieee.org/document/4579070],<br />
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004579070 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004579070],<br />
: [https://academic.microsoft.com/#/detail/2156692594 https://academic.microsoft.com/#/detail/2156692594]</div>Scipediacontent