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Multiyear calibration of simulations of energy systems

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  • Figueiredo, Raquel
  • Nunes, Pedro
  • Brito, Miguel C.

Abstract

Energy system simulation tools are important to assess and plan the energy transition to future power systems with large integration of renewables. The calibration of power balance models, to assure that they accurately reproduce the energy system, is usually made by the reproduction of a single year past time series. This makes the calibration sensitive to that year's particular conditions, such as water availability to generate hydropower, which may jeopardise the adequacy of simulations of scenarios with different environmental conditions. This paper proposes a multiyear calibration method using linear regressions to obtain the relevant calibration parameters. To validate the method, calibrated EnergyPLAN simulations of two heterogeneous historical years in Portugal are used to compare the standard and the multiyear calibrations. Results show that the multiyear calibration allowed significant improvement in the model accuracy, showing up to 3.8 times lower errors and up to 11.2 times lower standard deviation, enhancing the confidence on the simulation of future scenarios.

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  • Figueiredo, Raquel & Nunes, Pedro & Brito, Miguel C., 2018. "Multiyear calibration of simulations of energy systems," Energy, Elsevier, vol. 157(C), pages 932-939.
    • Handle: RePEc:eee:energy:v:157:y:2018:i:c:p:932-939
    DOI: 10.1016/j.energy.2018.05.188
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    1. Correia, J.M. & Bastos, A. & Brito, M.C. & Trigo, R.M., 2017. "The influence of the main large-scale circulation patterns on wind power production in Portugal," Renewable Energy, Elsevier, vol. 102(PA), pages 214-223.
    2. Collins, Seán & Deane, John Paul & Poncelet, Kris & Panos, Evangelos & Pietzcker, Robert C. & Delarue, Erik & Ó Gallachóir, Brian Pádraig, 2017. "Integrating short term variations of the power system into integrated energy system models: A methodological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 839-856.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Cleary, Brendan & Duffy, Aidan & Bach, Bjarne & Vitina, Aisma & O’Connor, Alan & Conlon, Michael, 2016. "Estimating the electricity prices, generation costs and CO2 emissions of large scale wind energy exports from Ireland to Great Britain," Energy Policy, Elsevier, vol. 91(C), pages 38-48.
    5. Bonjean Stanton, Muriel C. & Dessai, Suraje & Paavola, Jouni, 2016. "A systematic review of the impacts of climate variability and change on electricity systems in Europe," Energy, Elsevier, vol. 109(C), pages 1148-1159.
    6. Zhao, Guangling & Guerrero, Josep M. & Jiang, Kejun & Chen, Sha, 2017. "Energy modelling towards low carbon development of Beijing in 2030," Energy, Elsevier, vol. 121(C), pages 107-113.
    7. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    8. Mendes, Carlos André B. & Beluco, Alexandre & Canales, Fausto Alfredo, 2017. "Some important uncertainties related to climate change in projections for the Brazilian hydropower expansion in the Amazon," Energy, Elsevier, vol. 141(C), pages 123-138.
    9. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    10. Teotónio, Carla & Fortes, Patrícia & Roebeling, Peter & Rodriguez, Miguel & Robaina-Alves, Margarita, 2017. "Assessing the impacts of climate change on hydropower generation and the power sector in Portugal: A partial equilibrium approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 788-799.
    11. Hast, Aira & Rinne, Samuli & Syri, Sanna & Kiviluoma, Juha, 2017. "The role of heat storages in facilitating the adaptation of district heating systems to large amount of variable renewable electricity," Energy, Elsevier, vol. 137(C), pages 775-788.
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