Page History

• Background

Ensemble Streamflow Forecasting becomes a well-established technique in operational (flood) forecasting centers to assess forecast uncertainty. Currently, these forecasts are communicated to decision makers; however, taking decisions is still up to the subjective experience of the specific stakeholder. Due to the large amount of information in ensemble forecasts, this task is a major challenge in particular when time is limited during ongoing flood events.

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RTC Tools workshop Nelen&Schuurmans: 30 maart 2016

• presentation

RTC-Tools workshop Int.Deltares Software Days 2017

• RTC-Tools2 General Introduction
• Exercises (37Mb)

RTC-Tools 2 software framework

Release overview (available at https://pypi.org/project/rtc-tools):

• RTC-Tools 2 tutorial (pdf)
• RTC-Tools2 Modelica Model Library (pdf, example in progress)
• RTC-Tools 2 Shallow water implementation in Modelica (pdf, in progress)
• 2.2.0 beta1 released on May 26, 2018
• RTC-Tools 2.2.0 beta2 released on June 16, 2018 (using Pymoca 0.2.7)
• RTC-Tools 2.2.0 beta3 released on Aug 24, 2018  (using Pymoca 0.2.8)
• RTC-Tools 2.2.0 beta4 released on Sep 25, 2018  (using Pymoca 0.3)
• RTC-Tools 2.2.0 rc1 (release candidate 1) November, 5, 2018 (using Pymoca 0.3)
• RTC-Tools 2.2.0 (final release) November 18, 2018 (using Pymoca 0.3)
• RTC-Tools 2.2.1 (first bug fix), November 26, 2018 (using Pymoca 0.3)
• RTC-Tools 2.3.0 alpha 1 (development version), released on November 18, 2018 (using pymoca 0.4)

Associated URLs:

• License condition: GNU Lesser General Public License V3 (Lesser GPL)
• Website: https://www.deltares.nl/en/software/rtc-tools/
• RTC-Tools 2.2 python pip installation package: https://pypi.python.org/pypi/rtc-tools
• ChannelFlow Modelica library pip installation package: https://pypi.python.org/pypi/rtc-tools-channel-flow
• Python code repository: https://gitlab.com/deltares/rtc-tools
• ChannelFlow Modelica library repository: https://gitlab.com/deltares/rtc-tools-channel-flow
• Documentation: http://rtc-tools.readthedocs.io/
  • Optimization API: http://rtc-tools.readthedocs.io/en/latest/optimization.html
  • Simulation API (BMI): http://rtc-tools.readthedocs.io/en/latest/simulation.html
  • Tutorial: http://rtc-tools.readthedocs.io/en/latest/examples.html

Code dependencies are all managed within the installation package. RTC-Tools 2.2 has a strong co-development relation with pymoca.

Publications

Project deliverables

• Proposal
• Inception Report
• RTC-Tools 2.0.0 Beta1 release

Publications related to this project

• Application of Goal

  Programmin

  Programming Approach in Hydro-economic Optimization: A case study of the Citarum Reservoirs Operation Rules (

  M.Sc.Thesis, Tiarravanni Hermawan)

• MSc. thesis report, Tiarravanni Hermawan)

• Quick Scan Tool for water allocation in the Netherlands, Gijsbers, P.J.A., J.H. Baayen, G.J. ter Maat. reviewed version Published In: Hřebiček, J. R. Denzer, G. Schimak (eds): Environmental Software Systems ISESS 2017, IFIP AICT 507 pp.97-109, Springer International Publishing. https://doi.org/10.1007/978-3-319-89935-0_9.
• Real-Time Flood Control by Tree-Based Model Predictive Control Including Forecast uncertainty: A Case Study Reservoir in Turkey, G. Uysal, R.Alvarado-Montero, D.Schwanenberg, A.Sensoy, Published in: Water 2018, 10, 340: https://doi.org/10.3390/w10030340
• Short-term control of a storage hydropower under flodd risk by multi-stage stochastic optimization, G.Uysal, A. Sensoy, D.Schwanenberg, R.Alvarado-Montero, Published in: G. La Loggia, G. Freni and V.Puleo (eds) HIC2018 (EPiC Series in Engineering, Vol.XXX), pages 1-7
• A continuation approach to nonlinear model predictive control of open channel systems, J.H.Baayen and T.Piovesan (submitted Jan 2018 to Journal of Water Resources Management, https://arxiv.org/abs/1801.06507)
  

• A continuation approach to the optimization of hydropower operations J.H.Baayen, J.Rauw, and T.Piovesan (submitted May 2018, https://www.researchgate.net/publication/324939723_A_continuation_approach_to_the_optimization_of_hydropower_operations, https://arxiv.org/abs/1805.01292, https://www.semanticscholar.org/paper/A-continuation-approach-to-the-optimization-of-Baayen-Rauw)
  

Rejected submissions:

• Optimization of Management for the Citarum Cascade Reservoirs: A Comparison of two fundamentally different methods, Tiaravanni Hermawan et al. submitted to HESS (hess-2018-340): rejected as the editor consider the article outside the scope of HESS. A similar article will be resubmitted to Journal of Hydroinformatics

• RTC-Tools 2.0: An open source toolbox for control and multi-objective convex optimization of environmental systems under forecast uncertainty (first submission rejected by Environmental Modelling & Software, revised submission in the works)

Contact

Peter Gijsbers (project management)

Jorn Baayen Ivo Miltenbrug & Bernhard Becker (RTC-Tools product management)