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Scenario Optimisation of Pumping Schedules in a Complex Water Supply System Considering a Cost–Risk Balancing Approach
- Source :
- Water Resources Management. 30:5231-5246
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- The optimisation of water pumping plant activation schedules is a significant issue when managing emergency and costly water transfer under a drought risk. This problem needs specific optimisation tools to deal with complex multi-reservoir supply systems and to consider different alternative scenarios. The effectiveness of emergency transfers alleviating droughts requires early warning and activation; on the other hand, the high operating costs of pump stations require system managers to take a robust approach that defines activation rules. The proposed optimisation procedure combines scenario optimisation analysis with a cost-risk balancing approach. The model searches for the identification of optimal decision rules by balancing the risk of water shortages and the operating costs of pumping stations. Scenario optimisation provides ‘barycentric’ values that define the activation threshold by comparing hydrological synthetic series results. A multi-objective approach is also required in order to balance energy cost minimisation requirements and a reduction of damage needs that can be caused by water shortages. Consequently, a scenario optimisation has been developed considering the multi-objective and cost-risk balancing problem. A model application has been developed optimising water management and energy costs in a real water system with shortage risks in the South Sardinia (Italy) region.
- Subjects :
- Water pumping
Engineering
Warning system
Operations research
business.industry
Risk balancing
0208 environmental biotechnology
Water supply
02 engineering and technology
020801 environmental engineering
Water transfer
Drought risk
Balance energy
business
Water Science and Technology
Civil and Structural Engineering
Optimal decision
Subjects
Details
- ISSN :
- 15731650 and 09204741
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Water Resources Management
- Accession number :
- edsair.doi...........e0e3bac2a11a8d712890c308593a5423