- 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 2 software framework
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Release overview (available at https://pypi.org/project/rtc-tools):
- RTC-Tools 2.2.0 beta1 released on May 26, 2018
- RTC-Tools 2.2.0
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- beta2 released on
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- 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/Download
- RTC-Tools 2.2 python pip installation package: https://downloadpypi.deltares.nl/en/downloadpython.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
RTC-Tools 2.0 uses JModelica
Code dependencies are all managed within the installation package. RTC-Tools 2.2 uses pymola.has a strong co-development relation with pymoca.
A beta version RTC-Tools 2.2 (named rtc-tools 0.0.1.dev1) is available as python pip installation package on pypi.org: https://pypi.python.org/pypi/rtc-tools
Publications
Project deliverables
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Application of Goal Programming Approach in Hydro-economic Optimization: A case study of the Citarum Reservoirs Operation Rules (MSc. thesis report, Tiarravanni Hermawan)
Hydroeconomic Optimization of Citarum Cascade Reservoirs using Lexicographic Goal Programming (pre-print submission to ASCE Journal of Water Resources Management & Planning)
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)
- Quick Scan Tool for water allocation in the Netherlands, Gijsbers, P.J.A., J.H. Baayen, G.J. ter Maat. reviewed version (in press) Published In: Hřebiček, J. R. Denzer, G. Schimak (eds): Environmental Software Systems ISESS 2017, Springer series 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)