000 03137nam a22005175i 4500
001 978-3-319-00239-2
003 DE-He213
005 20200421111656.0
007 cr nn 008mamaa
008 130628s2013 gw | s |||| 0|eng d
020 _a9783319002392
_9978-3-319-00239-2
024 7 _a10.1007/978-3-319-00239-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aChmielowski, Wojciech Z.
_eauthor.
245 1 0 _aManagement of Complex Multi-reservoir Water Distribution Systems using Advanced Control Theoretic Tools and Techniques
_h[electronic resource] /
_cby Wojciech Z. Chmielowski.
264 1 _aHeidelberg :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aVI, 85 p. 22 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
520 _aThis study discusses issues of optimal water management in a complex distribution system. The main elements of the water-management system under consideration are retention reservoirs, among which water transfers are possible, and a network of connections between these reservoirs and water treatment plants (WTPs). System operation optimisation involves determining the proper water transport routes and their flow volumes from the retention reservoirs to the WTPs, and the volumes of possible transfers among the reservoirs, taking into account transport-related delays for inflows, outflows and water transfers in the system. Total system operation costs defined by an assumed quality coefficient should be minimal. An analytical solution of the optimisation task so formulated has been obtained as a result of using Pontriagin's maximum principle with reference to the quality coefficient assumed. Stable start and end conditions in reservoir state trajectories have been assumed. The researchers have taken into account cases of steady and transient optimisation duration. The solutions obtained have enabled the creation of computer models simulating system operation. In future, an analysis of the results obtained may affect decisions supporting the control of currently existing water-management systems.
650 0 _aEngineering.
650 0 _aEnergy policy.
650 0 _aEnergy and state.
650 0 _aComputational intelligence.
650 0 _aFluid mechanics.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aEngineering Fluid Dynamics.
650 2 4 _aControl.
650 2 4 _aEnergy Policy, Economics and Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319002385
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-00239-2
912 _aZDB-2-ENG
942 _cEBK
999 _c54713
_d54713