Coordinating rule-based and system-wide model predictive control strategies to reduce storage expansion of combined urban drainage systems: The case study of Lundtofte, Denmark

Elbys Jose Meneses, Marion Gaussens, Carsten Jakobsen, Peter Steen Mikkelsen, Morten Grum, Luca Vezzaro*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

265 Downloads (Pure)

Abstract

The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.
Original languageEnglish
Article number76
JournalWater
Volume10
Issue number1
Number of pages15
ISSN2073-4441
DOIs
Publication statusPublished - 2018

Keywords

  • Sewage and Industrial Wastes Treatment
  • Sewage
  • Environmental Impact and Protection
  • Automatic Control Principles and Applications
  • Cost and Value Engineering; Industrial Economics
  • Accidents and Accident Prevention
  • Combined sewer overflow (CSO)
  • Coordinating real time control (RTC)
  • Dynamic Overflow Risk Assessment (DORA)
  • Environmental impact reduction
  • Sensitivity of receiving waters
  • Catchments
  • Combined sewers
  • Cost reduction
  • Costs
  • Model predictive control
  • Real time control
  • Risk assessment
  • Sewers
  • Combined sewer overflows
  • Environmental benefits
  • Environmental requirement
  • Environmental sensitivities
  • Optimization strategy
  • Receiving waters
  • Urban drainage systems
  • Environmental impact
  • combined sewer overflow (CSO)
  • coordinating real time control (RTC)
  • environmental impact reduction
  • sensitivity of receiving waters
  • Hydraulic engineering
  • TC1-978
  • Water supply for domestic and industrial purposes
  • TD201-500

Cite this

@article{e2c4761c71cd41759c0c6399a3206600,
title = "Coordinating rule-based and system-wide model predictive control strategies to reduce storage expansion of combined urban drainage systems: The case study of Lundtofte, Denmark",
abstract = "The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21{\%} while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10{\%}. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.",
keywords = "Sewage and Industrial Wastes Treatment, Sewage, Environmental Impact and Protection, Automatic Control Principles and Applications, Cost and Value Engineering; Industrial Economics, Accidents and Accident Prevention, Combined sewer overflow (CSO), Coordinating real time control (RTC), Dynamic Overflow Risk Assessment (DORA), Environmental impact reduction, Sensitivity of receiving waters, Catchments, Combined sewers, Cost reduction, Costs, Model predictive control, Real time control, Risk assessment, Sewers, Combined sewer overflows, Environmental benefits, Environmental requirement, Environmental sensitivities, Optimization strategy, Receiving waters, Urban drainage systems, Environmental impact, combined sewer overflow (CSO), coordinating real time control (RTC), environmental impact reduction, sensitivity of receiving waters, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500",
author = "Meneses, {Elbys Jose} and Marion Gaussens and Carsten Jakobsen and Mikkelsen, {Peter Steen} and Morten Grum and Luca Vezzaro",
year = "2018",
doi = "10.3390/w10010076",
language = "English",
volume = "10",
journal = "Water",
issn = "2073-4441",
publisher = "M D P I AG",
number = "1",

}

Coordinating rule-based and system-wide model predictive control strategies to reduce storage expansion of combined urban drainage systems: The case study of Lundtofte, Denmark. / Meneses, Elbys Jose; Gaussens, Marion; Jakobsen, Carsten; Mikkelsen, Peter Steen; Grum, Morten; Vezzaro, Luca.

In: Water, Vol. 10, No. 1, 76, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Coordinating rule-based and system-wide model predictive control strategies to reduce storage expansion of combined urban drainage systems: The case study of Lundtofte, Denmark

AU - Meneses, Elbys Jose

AU - Gaussens, Marion

AU - Jakobsen, Carsten

AU - Mikkelsen, Peter Steen

AU - Grum, Morten

AU - Vezzaro, Luca

PY - 2018

Y1 - 2018

N2 - The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.

AB - The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.

KW - Sewage and Industrial Wastes Treatment

KW - Sewage

KW - Environmental Impact and Protection

KW - Automatic Control Principles and Applications

KW - Cost and Value Engineering; Industrial Economics

KW - Accidents and Accident Prevention

KW - Combined sewer overflow (CSO)

KW - Coordinating real time control (RTC)

KW - Dynamic Overflow Risk Assessment (DORA)

KW - Environmental impact reduction

KW - Sensitivity of receiving waters

KW - Catchments

KW - Combined sewers

KW - Cost reduction

KW - Costs

KW - Model predictive control

KW - Real time control

KW - Risk assessment

KW - Sewers

KW - Combined sewer overflows

KW - Environmental benefits

KW - Environmental requirement

KW - Environmental sensitivities

KW - Optimization strategy

KW - Receiving waters

KW - Urban drainage systems

KW - Environmental impact

KW - combined sewer overflow (CSO)

KW - coordinating real time control (RTC)

KW - environmental impact reduction

KW - sensitivity of receiving waters

KW - Hydraulic engineering

KW - TC1-978

KW - Water supply for domestic and industrial purposes

KW - TD201-500

U2 - 10.3390/w10010076

DO - 10.3390/w10010076

M3 - Journal article

VL - 10

JO - Water

JF - Water

SN - 2073-4441

IS - 1

M1 - 76

ER -