Abstract
Traditionally, water companies in England and Wales use supply-demand modelling methods as decision-making tools for water resources evaluation and investment planning. Companies use separate models for water resources planning and for water resources investment-planning. This approach entails calculating deployable output in a water resources model, for an assumed level of service. That deployable output calculation is exported to an investment model. There is no two-way integration between the water resources model and water resources investment model in the traditional approach, hence any investments do not affect deployable output estimated first in the former model. This paper proposes a new integrated approach—where water resources modelling and investment modelling are integrated, by way of a single modelling tool. The aim of this paper is to compare and contrast traditional water resources and investment planning with the proposed new integrated approach. The new integrated model will allow for the impact of investment choices on the supply and demand position at any point over the planning horizon. The new tool is run for the baseline scenario and for climate change supply scenarios. The results from the integrated model are compared with the results presented by Bristol Water in their Water Resources Management Plan. The level of service metric is calculated in the new model for both baseline and climate change supply scenarios. Finally, this paper proposes further improvement of the integrated model, including potential multi-objective optimisation and new approach to represent uncertainty.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Environment Agency, Ofwat, Defra and the Welsh Government, Water resources planning guideline (2012). The technical methods and instruction
Environment Agency & Natural Resources Wales, Final Water Resources Planning Guideline (2016)
UKWIR, WRMP 2019 Methods -Decision Making Process: Guidance (2016)
UKWIR, WRMP 2019 Methods –Decision Making Process: Risk Based Planning (2016)
Bristol Water, Draft Water Resources Management Plan. Bristol Water (2017)
Bristol Water, Drought Plan (2016)
Deb K. (2001) Multi-objective optimization using evolutionary algorithms/Kalyanmoy Deb. Wiley, Chichester
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2):182–197
Bristol Water, Draft Water Resources Management Plan 2019. Statement of response to public consultation (2018)
Bristol Water, Water Resources Management Plan 2014 (2014)
Water Resource Associate Ltd HYSIM User Manual (2006)
Prudhomme C, Dadson S, Morris D, Williamson J, Goodsell G, Crooks S, et al. (2012) Future flows climate data. NERC Environmental Information Data Centre
Roach T, Kapelan Z, Ledbetter R (2015) Comparison of info-gap and robust optimisation methods for integrated water resource management under severe uncertainty. Procedia Eng. 119:874–883
Ledbetter R, Prudhomme C, Arnell N (2012) A method for incorporating climate variability in climate change impact assessments: sensitivity of river flows in the Eden catchment to precipitation scenarios. Clim. Change 113(3–4):803–823
Ofwat (2017) Consulting on our methodology for the 2019 price review
Environment Agency (2017) Leakage in WRMPs, June 2017
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Staszek, D., Savic, D., Fu, G. (2020). An Integrated Approach to Water Resources and Investment Planning for Water Utilities. In: Gourbesville, P., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-15-5436-0_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-5436-0_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5435-3
Online ISBN: 978-981-15-5436-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)