2020
DOI: 10.1016/j.jclepro.2020.120946
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Assessing complementarity and optimising the combination of intermittent renewable energy sources using ground measurements

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Cited by 17 publications
(8 citation statements)
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“…When the objective is to reduce the longest event of consecutive drought days, the optimal PV share is lower, but in any case larger than the wind share. These results can be compared to other studies made in different regions, which have shown that the optimum values of PV for reducing variability in areas with high solar resource are above 50% [44,45]. Certain studies give different results depending on the time frequency analysed [43].…”
Section: Discussionmentioning
confidence: 76%
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“…When the objective is to reduce the longest event of consecutive drought days, the optimal PV share is lower, but in any case larger than the wind share. These results can be compared to other studies made in different regions, which have shown that the optimum values of PV for reducing variability in areas with high solar resource are above 50% [44,45]. Certain studies give different results depending on the time frequency analysed [43].…”
Section: Discussionmentioning
confidence: 76%
“…where PV and W are the productivity of wind (Wprod) and photovoltaic (PVprod) series respectively, each one divided by its average in order to scale mean productivity to 1 as in [43][44][45]. The share coefficients go from 0 to 1 (equivalent to an energy share of 0 to 100%) and are related to each other with the next expression:…”
Section: Complementarity 241 Combined Energymentioning
confidence: 99%
“…2, this method simulates the uncertainty of hydropower/PV/load in several scenarios, which is more accurate than six scenarios. Reference [15] considers that the factor analysis method is suitable for the classification of renewable energy complementary systems, thus proposes a power classification method for different energy sources, which is especially suitable for large areas, and proposes a multivariable renewable energy complementary output scheduling optimization model, which is helpful to the modeling of multi-energy complementary operation and scheduling.…”
Section: Research Methods Of Hydrophotovoltaic Complementary Schedulingmentioning
confidence: 99%
“…In general, complementarity can be defined as the relationship between two or more independent phenomena whose simultaneous operation creates more benefits than individual operations [35]. Complementary RES studies can help design hybrid systems and overcome obstacles to help produce more reliable and cleaner energy [36]. Therefore, understanding the complementarity and diversity of renewable energies is a key foundation for achieving a high penetration level without compromising the power system's reliability and economy [32].…”
Section: Modelling and Formulationmentioning
confidence: 99%