Skip to main content

Water Markets in a Stochastic World

  • Chapter
  • First Online:
Smart Markets for Water Resources

Part of the book series: Global Issues in Water Policy ((GLOB,volume 12))

  • 546 Accesses

Abstract

To this point, the smart market models have been deterministic, using one estimate of future inflows into the catchment. This chapter explores sources of uncertainty and discusses which of those the market should directly address and which it should not, why the deterministic approach may not calculate the best allocation, and ways to address uncertain inflows explicitly within the market-clearing mechanism using stochastic optimization. We will see that a stochastic optimization will probably be too hard to solve, and could complicate bidding and market clearing. We discuss some alternatives to the stochastic market model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Dye, S., Read, E. G., Read, R. A., & Starkey, S. R. (2012, June 14–15). Easy implementations of generalised stochastic CDDP models for market simulation studies. 4th IEEE and Cigré International Workshop on Hydro Scheduling in Competitive Markets, Bergen.

    Google Scholar 

  • Gorelick, S. M., & Zheng, C. (2015). Global change and the groundwater management challenge. Water Resources Research, 51, 3031–3051. doi:10.1002/2014WR016825.

    Article  Google Scholar 

  • Hollinshead, S. P., & Lund, J. R. (2006). Optimization of environmental water account purchases with uncertainty. Water Resources Research, 42(8), W08403.

    Article  Google Scholar 

  • Jacobs, J., Freeman, G., Grygier, J., Morton, D., Schultz, G., Staschus, K., & Stedinger, J. (1995). SOCRATES: A system for scheduling hydroelectric generation under uncertainty. Annals of Operations Research, 59(1), 99–133.

    Article  Google Scholar 

  • Mahakalanda, I., Dye, S., Read, E. G., & Raffensperger, J. F. (2012, December 10–11). Intra-period market clearing for a multi-use catchment via CDDP. Paper presented at the ORSNZ Conference, Wellington.

    Google Scholar 

  • Pinto Rodriguez, A. A. (2013). Market mechanisms to allow trading of impervious cover. PhD thesis, University of Canterbury, Christchurch.

    Google Scholar 

  • Pinto Rodriguez, A. A., Raffensperger, J. F., Cochrane, T. A., & Dye, S. (2009, December 3–4). A proposed smart market for impervious cover runoff under rainfall uncertainty. In Proceedings of the ORNSZ conference, Christchurch, (pp. 190–199).

    Google Scholar 

  • Pritchard, G., Zakeri, G., & Philpott, A. (2010). A single-settlement, energy-only electric power market for unpredictable and intermittent participants. Operations Research, 58(4), 1210–1219.

    Google Scholar 

  • Starkey, S. R., Dye, S., Read, E. G., & Read, R. A. (2012, June 14–15). Stochastic versus deterministic market design: Some experimental results. 4th IEEE and Cigré International Workshop on Hydro Scheduling in Competitive Markets, Bergen.

    Google Scholar 

  • Thompson Jr., B. H. (2005). Uncertainty and markets in water resources. McGeorge Law Review, 36, 117–138.

    Google Scholar 

  • Tilmant, A., & Kelman, R. (2007). A stochastic approach to analyze trade-offs and risks associated with largescale water resources systems. Water Resources Research, 43(6), W06425.

    Article  Google Scholar 

  • Zhu, T., Marques, G. F., & Lund, J. R. (2015). Hydroeconomic optimization of integrated water management and transfers under stochastic surface water supply. Water Resources Research, 51, 3568–3587. doi:10.1002/2014WR016519.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Raffensperger, J.F., Milke, M.W. (2017). Water Markets in a Stochastic World. In: Smart Markets for Water Resources. Global Issues in Water Policy, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-55008-4_11

Download citation

Publish with us

Policies and ethics