Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 12th IWA Specialized Conference on Instrumentation, Control and Automation |
| Place of Publication | Québec, Canada |
| Publisher | IWA Publishing |
| Publication date | 2017 |
| Pages | 149-157 |
| Publication status | Published - 2017 |
| Event | 12th IWA Specialized Conference on Instrumentation, Control and Automation - Quebec, Canada Duration: 11 Jun 2017 → 14 Jun 2017 Conference number: 12 |
Conference
| Conference | 12th IWA Specialized Conference on Instrumentation, Control and Automation |
|---|---|
| Number | 12 |
| Country | Canada |
| City | Quebec |
| Period | 11/06/2017 → 14/06/2017 |
Keywords
- Model predictive control
- Uncertainty
- Multi objective optimization
- Water smart cities
Cite this
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Towards a domain-based framework for use of rainfall forecasts in control of integrated urban wastewater systems. / Vezzaro, Luca; Pedersen, Jonas Wied; Courdent, Vianney Augustin Thomas; Löwe, Roland; Mikkelsen, Peter Steen.
Proceedings of 12th IWA Specialized Conference on Instrumentation, Control and Automation. Québec, Canada : IWA Publishing, 2017. p. 149-157.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Towards a domain-based framework for use of rainfall forecasts in control of integrated urban wastewater systems
AU - Vezzaro, Luca
AU - Pedersen, Jonas Wied
AU - Courdent, Vianney Augustin Thomas
AU - Löwe, Roland
AU - Mikkelsen, Peter Steen
PY - 2017
Y1 - 2017
N2 - An increasing number of Model Predictive Control (MPC) tools have recently been developed. These MPC methods utilize as input a wide range of rainfall forecasts, which differ in their characteristics and prediction skills. Operators need to identify the most appropriate MPC and rainfall forecast for their needs. A domain-based framework is proposed to distinguish between four operational domains, which consider the magnitude of the forecasted rain and the expected status of the system. The framework is presented by using selected Danish case studies as examples, and it will provide a support to operators in the implementation of MPC strategies.
AB - An increasing number of Model Predictive Control (MPC) tools have recently been developed. These MPC methods utilize as input a wide range of rainfall forecasts, which differ in their characteristics and prediction skills. Operators need to identify the most appropriate MPC and rainfall forecast for their needs. A domain-based framework is proposed to distinguish between four operational domains, which consider the magnitude of the forecasted rain and the expected status of the system. The framework is presented by using selected Danish case studies as examples, and it will provide a support to operators in the implementation of MPC strategies.
KW - Model predictive control
KW - Uncertainty
KW - Multi objective optimization
KW - Water smart cities
M3 - Article in proceedings
SP - 149
EP - 157
BT - Proceedings of 12th IWA Specialized Conference on Instrumentation, Control and Automation
PB - IWA Publishing
CY - Québec, Canada
ER -