Multiyear calibration of simulations of energy systems
Raquel Figueiredo,
Pedro Nunes and
Miguel C. Brito
Energy, 2018, vol. 157, issue C, 932-939
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.
Keywords: Energy simulation; Energy models' calibration; Future power systems; Renewable energy resource (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421831034X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:157:y:2018:i:c:p:932-939
DOI: 10.1016/j.energy.2018.05.188
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().