Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs - a conceptual approach

被引:33
作者
Cassagnole, Manon [1 ]
Ramos, Maria-Helena [1 ]
Zalachori, Ioanna [1 ,4 ]
Thirel, Guillaume [1 ]
Garcon, Remy [2 ]
Gailhard, Joel [2 ]
Ouillon, Thomas [3 ]
机构
[1] Univ Paris Saclay, INRAE, UR HYCAR, 1 Rue Pierre Gilles de Gennes, F-92160 Antony, France
[2] EDF DTG, Elect France, Div Tech Gen, Grenoble, France
[3] Paris Saclay, EDF Lab, Elect France, Paris, France
[4] TERNA ENERGY, Hydroelect Projects Dept, Athens, Greece
关键词
ENSEMBLE PREDICTION; ECONOMIC VALUE; PROBABILISTIC FORECASTS; HYDROPOWER SYSTEM; OPTIMIZATION; STREAMFLOW; INFORMATION; MODELS; SKILL; PRECIPITATION;
D O I
10.5194/hess-25-1033-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The improvement of a forecasting system and the continuous evaluation of its quality are recurrent steps in operational practice. However, the systematic evaluation of forecast value or usefulness for better decision-making is less frequent, even if it is also essential to guide strategic planning and investments. In the hydropower sector, several operational systems use medium-range hydrometeorological forecasts (up to 7-10 d ahead) and energy price predictions as input to models that optimize hydropower production. The operation of hydropower systems, including the management of water stored in reservoirs, is thus partially impacted by weather and hydrological conditions. Forecast value can be quantified by the economic gains obtained with the optimization of operations informed by the forecasts. In order to assess how much improving the quality of hydrometeorological forecasts will improve their economic value, it is essential to understand how the system and its optimization model are sensitive to sequences of input forecasts of different quality. This paper investigates the impact of 7 d streamflow forecasts of different quality on the management of hydroelectric reservoirs and the economic gains generated from a linear programming optimization model. The study is based on a conceptual approach. Flows from 10 catchments in France are synthetically generated over a 4-year period to obtain forecasts of different quality in terms of accuracy and reliability. These forecasts define the inflows to 10 hydroelectric reservoirs, which are conceptually parameterized. Relationships between forecast quality and economic value (hydropower revenue) show that forecasts with a recurrent positive bias (overestimation) and low accuracy generate the highest economic losses when compared to the reference management system where forecasts are equal to observed inflows. The smallest losses are observed for forecast systems with underdispersion reliability bias, while forecast systems with negative bias (underestimation) show intermediate losses. Overall, the losses (which amount to millions of Euros) represent approximately 1% to 3% of the revenue over the study period. Besides revenue, the quality of the forecasts also impacts spillage, stock evolution, production hours and production rates, with systematic over- and underestimations being able to generate some extreme reservoir management situations.
引用
收藏
页码:1033 / 1052
页数:20
相关论文
共 65 条
  • [51] THE VALUE OF HYDROLOGIC INFORMATION IN STOCHASTIC DYNAMIC-PROGRAMMING MODELS OF A MULTIRESERVOIR SYSTEM
    TEJADAGUIBERT, JA
    JOHNSON, SA
    STEDINGER, JR
    [J]. WATER RESOURCES RESEARCH, 1995, 31 (10) : 2571 - 2579
  • [52] On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments
    Thiboult, A.
    Anctil, F.
    [J]. JOURNAL OF HYDROLOGY, 2015, 529 : 1147 - 1160
  • [53] A stochastic approach to analyze trade-offs and risks associated with large-scale water resources systems
    Tilmant, A.
    Kelman, R.
    [J]. WATER RESOURCES RESEARCH, 2007, 43 (06)
  • [54] Economic valuation of benefits and costs associated with the coordinated development and management of the Zambezi river basin
    Tilmant, A.
    Kinzelbach, W.
    Juizo, D.
    Beevers, L.
    Senn, D.
    Casarotto, C.
    [J]. WATER POLICY, 2012, 14 (03) : 490 - 508
  • [55] Assessing marginal water values in multipurpose multireservoir systems via stochastic programming
    Tilmant, A.
    Pinte, D.
    Goor, Q.
    [J]. WATER RESOURCES RESEARCH, 2008, 44 (12)
  • [56] Economic Value of Storage in Multireservoir Systems
    Tilmant, Amaury
    Arjoon, Diane
    Marques, Guilherme Fernandes
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2014, 140 (03) : 375 - 383
  • [57] The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems
    Trinh, B. N.
    Thielen-del Pozo, J.
    Thirel, G.
    [J]. ATMOSPHERIC SCIENCE LETTERS, 2013, 14 (02): : 61 - 65
  • [58] Complex relationship between seasonal streamflow forecast skill and value in reservoir operations
    Turner, Sean W. D.
    Bennett, James C.
    Robertson, David E.
    Galelli, Stefano
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (09) : 4841 - 4859
  • [59] Velazquez J.A., 2011, Adv. Geosci, V29, P33, DOI [10.5194/adgeo-29-33-2011, DOI 10.5194/ADGEO-29-33-2011]
  • [60] Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales
    Verkade, J. S.
    Brown, J. D.
    Reggiani, P.
    Weerts, A. H.
    [J]. JOURNAL OF HYDROLOGY, 2013, 501 : 73 - 91