Articles | Volume 28, issue 24
https://doi.org/10.5194/hess-28-5479-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-5479-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modeling hydropower operations at the scale of a power grid: a demand-based approach
Laure Baratgin
CORRESPONDING AUTHOR
LMD/IPSL, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, ENS, PSL Research University, Sorbonne Université, Palaiseau, France
CIRED, CNRS, AgroParisTech, Ecole des Ponts Paris Tech, CIRAD, EHESS, Nogent-sur-Marne CEDEX, France
Jan Polcher
LMD/IPSL, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, ENS, PSL Research University, Sorbonne Université, Palaiseau, France
Patrice Dumas
CIRAD, UMR CIRED, 34398 Montpellier, France
Philippe Quirion
CIRED, CNRS, AgroParisTech, Ecole des Ponts Paris Tech, CIRAD, EHESS, Nogent-sur-Marne CEDEX, France
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Cited articles
Abeshu, G. W., Tian, F., Wild, T., Zhao, M., Turner, S., Chowdhury, A. F. M. K., Vernon, C. R., Hu, H., Zhuang, Y., Hejazi, M., and Li, H.-Y.: Enhancing the representation of water management in global hydrological models, Geosci. Model Dev., 16, 5449–5472, https://doi.org/10.5194/gmd-16-5449-2023, 2023. a, b
Ambec, S. and Doucet, J. A.: Decentralizing hydro power production, Canadian Journal of Economics/Revue canadienne d'économique, 36, 587–607, https://doi.org/10.1111/1540-5982.t01-2-00004, 2003. a
Birman, C., Karbou, F., Mahfouf, J.-F., Lafaysse, M., Durand, Y., Giraud, G., Mérindol, L., and Hermozo, L.: Precipitation analysis over the French Alps using a variational approach and study of potential added value of ground-based radar observations, J. Hydrometeorol., 18, 1425–1451, 2017. a
Chowdhury, A. K., Dang, T. D., Nguyen, H. T., Koh, R., and Galelli, S.: The Greater Mekong's climate-water-energy nexus: How ENSO-triggered regional droughts affect power supply and CO2 emissions, Earth's Future, 9, e2020EF001814, https://doi.org/10.1029/2020EF001814, 2021. a
CNRM: SAFRAN, CNRM [data set], https://www.umr-cnrm.fr/spip.php?article788&lang=en (last access: 24 November 2024), 2024 a
Dang, T. D., Chowdhury, A. F. M. K., and Galelli, S.: On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments, Hydrol. Earth Syst. Sci., 24, 397–416, https://doi.org/10.5194/hess-24-397-2020, 2020. a, b
energy-modelling-toolkit: hydro-power-database, GitHub [data set], https://github.com/energy-modelling-toolkit/hydro-power-database, last access: 24 November 2024.
Fekete, B. M., Wisser, D., Kroeze, C., Mayorga, E., Bouwman, L., Wollheim, W. M., and Vörösmarty, C.: Millennium ecosystem assessment scenario drivers (1970–2050): climate and hydrological alterations, Global Biogeochem. Cy., 24, GB0A12, https://doi.org/10.1029/2009GB003593, 2010. a
François, B.: Gestion optimale d'un réservoir hydraulique multiusages et changement climatique. Modèles, projections et incertitudes: Application à la réserve de Serre-Ponçon, PhD thesis, Université de Grenoble, https://theses.hal.science/tel-00997012/ (last access: 24 November 2024), 2013. a
Habets, F., Etchevers, P., Golaz, C., Leblois, E., Ledoux, E., Martin, E., Noilhan, J., and Ottlé, C.: Simulation of the water budget and the river flows of the Rhone basin, J. Geophys. Res.-Atmos., 104, 31145–31172, 1999. a
Haddeland, I., Skaugen, T., and Lettenmaier, D. P.: Anthropogenic impacts on continental surface water fluxes, Geophys. Res. Lett., 33, L08406, https://doi.org/10.1029/2006GL026047, 2006. a
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, GB1015, https://doi.org/10.1029/2003GB002199, 2005. a
Lehner, B., Czisch, G., and Vassolo, S.: The impact of global change on the hydropower potential of Europe: a model-based analysis, Energ. Policy, 33, 839–855, 2005. a
Lehner, B., Liermann, C. R., Revenga, C., Vörösmarty, C., Fekete, B., Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J., Rödel, R., Sindorf, N., and Wisser, D.: High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management, Front. Ecol. Environ., 9, 494–502, 2011 (data available at: https://www.globaldamwatch.org/grand/, last access: 18 December 2024). a, b, c
Lund, J. R. and Guzman, J.: Derived operating rules for reservoirs in series or in parallel, J. Water Res. Pl., 125, 143–153, 1999. a
Magand, C., Ducharne, A., Tilmant, F., Le Moine, N., Sauquet, E., Mathevet, T., Vidal, J.-P., and Perrin, C.: Hybridation de réanalyses météorologiques de surface pour les zones de montagne: exemple du produit DuO sur le bassin de la Durance, Houille Blanche, 3, 77–85, https://doi.org/10.1051/lhb/2018035, 2018. a
Meteo-France: COMEPHORE, Meteo-France [data set], https://radarsmf.aeris-data.fr/en/home-page/ (last access: 24 November 2024), 2024. a
Nazemi, A. and Wheater, H. S.: On inclusion of water resource management in Earth system models – Part 1: Problem definition and representation of water demand, Hydrol. Earth Syst. Sci., 19, 33–61, https://doi.org/10.5194/hess-19-33-2015, 2015a. a
Nazemi, A. and Wheater, H. S.: On inclusion of water resource management in Earth system models – Part 2: Representation of water supply and allocation and opportunities for improved modeling, Hydrol. Earth Syst. Sci., 19, 63–90, https://doi.org/10.5194/hess-19-63-2015, 2015b. a, b
Neverre, N.: Rareté de l’eau et relations interbassins en Méditerranée sous changements globaux. Développement et application d’un modèle hydroéconomique à large échelle, PhD thesis, Université Paris-Saclay (ComUE), https://theses.hal.science/tel-02925151/ (last access: 24 November 2024), 2015. a, b
Nguyen-Quang, T., Polcher, J., Ducharne, A., Arsouze, T., Zhou, X., Schneider, A., and Fita, L.: ORCHIDEE-ROUTING: revising the river routing scheme using a high-resolution hydrological database, Geosci. Model Dev., 11, 4965–4985, https://doi.org/10.5194/gmd-11-4965-2018, 2018. a, b
ODRÉ: Registre 2015 des installations de production raccordées au réseau de transport d'électricité, https://www.data.gouv.fr/fr/datasets/registre-2015-des-installations-de-production-raccordees-au-reseau-de-transport-delectricite/ (last access: 24 November 2024), 2015. a, b, c
ODRÉ: Registre national des installations de production et de stockage d'électricité (au 31 décembre 2018), https://www.data.gouv.fr/fr/datasets/registre-national-des-installations-de-production-et-de-stockage-delectricite-au-31-decembre-2018/ (last access: 24 November 2024), 2018. a, b, c, d, e, f, g
ODRÉ: Le réseau au coeur des données d'énergie, https://opendata.reseaux-energies.fr/, last access: 24 November 2024.
Oikonomou, K., Tarroja, B., Kern, J., and Voisin, N.: Core process representation in power system operational models: Gaps, challenges, and opportunities for multisector dynamics research, Energy, 238, 122049, https://doi.org/10.1016/j.energy.2021.122049, 2022. a
Polcher, J., Schrapffer, A., Dupont, E., Rinchiuso, L., Zhou, X., Boucher, O., Mouche, E., Ottlé, C., and Servonnat, J.: Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water, Geosci. Model Dev., 16, 2583–2606, https://doi.org/10.5194/gmd-16-2583-2023, 2023. a, b, c
Quintana-Segui, P., Le Moigne, P., Durand, Y., Martin, E., Habets, F., Baillon, M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of near-surface atmospheric variables: Validation of the SAFRAN analysis over France, J. Appl. Meteorol. Clim., 47, 92–107, 2008. a
Ralston Fonseca, F., Craig, M., Jaramillo, P., Bergés, M., Severnini, E., Loew, A., Zhai, H., Cheng, Y., Nijssen, B., Voisin, N., and Yearsley, J.: Effects of climate change on capacity expansion decisions of an electricity generation fleet in the Southeast US, Environ. Sci. Technol., 55, 2522–2531, 2021. a
Reynolds, C., Jackson, T., and Rawls, W.: Estimating soil water-holding capacities by linking the Food and Agriculture Organization soil map of the world with global pedon databases and continuous pedotransfer functions, Water Resour. Res., 36, 3653–3662, 2000. a
RTE, Syndicat des Energies Renouvelables, ENEDIS, ADEeF, and Agence ORE: Panorama de l’électricité renouvelable en 2018, https://assets.rte-france.com/prod/public/2020-06/Panorama de l% 27% C3% A9lectricit% C3% A9 renouvelable au 31 decembre 2018_compressed.pdf (last access: 24 November 2024), 2018. a, b
Siala, K., Chowdhury, A. K., Dang, T. D., and Galelli, S.: Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia, Nat. Commun., 12, 4159, https://doi.org/10.1038/s41467-021-24437-6, 2021. a
Sterl, S., Vanderkelen, I., Chawanda, C. J., Russo, D., Brecha, R. J., Van Griensven, A., van Lipzig, N. P., and Thiery, W.: Smart renewable electricity portfolios in West Africa, Nature Sustainability, 3, 710–719, 2020. a
Stoft, S.: Power system economics: designing markets for electricity, vol. 468, IEEE press Piscataway, https://www.scirp.org/reference/referencespapers?referenceid=2020426 (last access: 24 November 2024), 2002. a
Tabary, P., Dupuy, P., L'Henaff', G., Gueguen, C., Moulin, L., and Laurentin, O.: A 10-year (1997–2006) reanalysis of Quantitative Precipitation Estimation over France: methodology and first results, IAHS-AISH P., 351, 255–260, 2012. a
Turner, S. W. and Voisin, N.: Simulation of hydropower at subcontinental to global scales: a state-of-the-art review, Environ. Res. Lett., 17, 023002, https://doi.org/10.1088/1748-9326/ac4e38, 2022. a
Turner, S. W., Ng, J. Y., and Galelli, S.: Examining global electricity supply vulnerability to climate change using a high-fidelity hydropower dam model, Sci. Total Environ., 590, 663–675, 2017. a
Voisin, N., Dyreson, A., Fu, T., O'Connell, M., Turner, S. W., Zhou, T., and Macknick, J.: Impact of climate change on water availability and its propagation through the Western US power grid, Appl. Energ., 276, 115467, https://doi.org/10.1016/j.apenergy.2020.115467, 2020. a, b, c
Wagner, T., Themeßl, M., Schüppel, A., Gobiet, A., Stigler, H., and Birk, S.: Impacts of climate change on stream flow and hydro power generation in the Alpine region, Environ. Earth Sci., 76, 1–22, 2017. a
Wood, A. J., Wollenberg, B. F., and Sheblé, G. B.: Power generation, operation, and control, John Wiley & Sons, ISBN 978-0-471-79055-6, 2013. a
Yamazaki, D. I., Jeison, S., Paul, D. B., George, H. A., and Tamlin, M. P.: MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets, Water Resour. Res., 55, 5053–5073, 2019. a
Zhou, X., Polcher, J., and Dumas, P.: Representing human water management in a land surface model using a supply/demand approach, Water Resour. Res., 57, e2020WR028133, https://doi.org/10.1029/2020WR028133, 2021. a, b, c, d
Short summary
Hydrological modeling is valuable for estimating the potential impact of climate change on hydropower generation. This study presents a comprehensive approach to modeling the management of hydroelectric reservoirs in hydrological models. The total power grid demand for hydropower is distributed to the various power plants to compute their release. The method is tested on the French national power grid, and it is demonstrated that it successfully reproduces the observed behavior of reservoirs.
Hydrological modeling is valuable for estimating the potential impact of climate change on...