Drought risk modelling for thermoelectric power plants siting using an excess over threshold approach

Water availability is among the most important elements of thermoelectric power plant site selection and evaluation criteria. With increased variability and changes in hydrologic statistical stationarity, one concern is the increased occurrence of extreme drought events that may be attributable to climatic changes. As hydrological systems are altered, operators of thermoelectric power plants need to ensure a reliable supply of water for cooling and generation requirements. The effects of climate change are expected to influence hydrological systems at multiple scales, possibly leading to reduced efficiency of thermoelectric power plants. In this paper, we model drought characteristics from a thermoelectric systems operational and regulation perspective. A systematic approach to characterise a stream environment in relation to extreme drought occurrence, duration and deficit-volume is proposed and demonstrated. This approach can potentially enhance early stage decisions in identifying candidate sites for a thermoelectric power plant application and allow investigation and assessment of varying degrees of drought risk during more advanced stages of the siting process.

[1]  V. Yevjevich Objective approach to definitions and investigations of continental hydrologic droughts, An , 2007 .

[2]  T. Sharma A drought frequency formula , 1997 .

[3]  Andrew A. Davidson,et al.  Multiple drought indices for agricultural drought risk assessment on the Canadian prairies , 2012 .

[4]  Henrik Madsen,et al.  On the definition and modelling of streamflow drought duration and deficit volume , 1997 .

[5]  Richard L. Smith,et al.  Models for exceedances over high thresholds , 1990 .

[6]  U. Panu,et al.  Challenges in drought research: some perspectives and future directions , 2002 .

[7]  J. Dracup,et al.  On the generation of drought events using an alternating renewal-reward model , 1992 .

[8]  Jose D. Salas,et al.  Drought Occurrence Probabilities and Risks of Dependent Hydrologic Processes , 2000 .

[9]  D. Wilhite Drought and Water Crises : Science, Technology, and Management Issues , 2005 .

[10]  Y. Haimes Modeling complex systems of systems with Phantom System Models , 2012, Syst. Eng..

[11]  J. Abaurrea,et al.  Drought Analysis Based on a Marked Cluster Poisson Model , 2006 .

[12]  Richard L. Smith Extreme value theory based on the r largest annual events , 1986 .

[13]  Charles B. Keating,et al.  Systems of systems engineering: prospects and challenges for the emerging field , 2011, Int. J. Syst. Syst. Eng..

[14]  Lamya Badr,et al.  Review of Water Use in U.S. Thermoelectric Power Plants , 2012 .

[15]  George Tsakiris,et al.  Assessment of Hydrological Drought Revisited , 2009 .

[16]  V. U. Smakhtin,et al.  Automated estimation and analyses of meteorological drought characteristics from monthly rainfall data , 2007, Environ. Model. Softw..

[17]  J. Dracup,et al.  On the definition of droughts , 1980 .

[18]  Manfred Gilli,et al.  Extreme Value Theory for Tail-Related Risk Measures , 2000 .

[19]  C. Pearson,et al.  Regional frequency analysis of annual maximum streamflow drought , 1995 .

[20]  E. Zelenhasić,et al.  A method of streamflow drought analysis , 1987 .

[21]  M. Mimikou,et al.  An analysis of multiyear droughts in Greece , 1993 .

[22]  Timothy J. Skone,et al.  Water: A critical resource in the thermoelectric power industry , 2008 .

[23]  Johan Segers,et al.  Inference for clusters of extreme values , 2003 .

[24]  Xiaoying Yang,et al.  Water Use by Thermoelectric Power Plants in the United States 1 , 2007 .

[25]  Jose D. Salas,et al.  Characterizing the severity and risk of drought in the Poudre River, Colorado , 2005 .

[26]  Zekai Sen,et al.  Wet and Dry Periods of Annual Flow Series , 1976 .