2021
DOI: 10.3390/su14010388
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Combining Re-Analyzed Climate Data and Landcover Products to Assess the Temporal Complementarity of Wind and Solar Resources in Iraq

Abstract: Considering the spatial–temporal variation of renewable energy (RE) resources, assessment of their complementarity is of great significance for decision-makers to increase the stability of power output and reduce the need for storage systems. In this regard, the current paper presents a roadmap to assess the temporal complementarity patterns between wind and solar resources for the first time in Iraq. A new approach based on re-analyzed climate data, Landcover products, and geographical information system (GIS… Show more

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Cited by 14 publications
(3 citation statements)
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References 47 publications
(92 reference statements)
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“…Technical criteria directly affect the efficiency and performance of wind-solar farms. The most important technical criteria are the natural resource factors for wind and solar energy [46]. For photovoltaics, solar radiation is a critical indicator.…”
Section: Extract Standard Evaluation Criteriamentioning
confidence: 99%
“…Technical criteria directly affect the efficiency and performance of wind-solar farms. The most important technical criteria are the natural resource factors for wind and solar energy [46]. For photovoltaics, solar radiation is a critical indicator.…”
Section: Extract Standard Evaluation Criteriamentioning
confidence: 99%
“…The complementarity between wind and solar power generation is defined by the synergistic capacity of both sources to enhance electricity outputs and augment their reliability [53]. Several indices have been introduced to assess the complementarity of wind and solar power generation across diverse temporal scales.…”
Section: Multi-scale Complementary Evaluation Indicesmentioning
confidence: 99%
“…Going forwards, a synergy should be established between (i) upgraded infrastructure and (ii) a reduction in waste behaviours (i.e, excess) to cater for strain and the future demands placed by urbanisation. Relating to point (i), suitable technologies discussed in the literature include integrating AI/machine learning techniques [15], IoT sensors [16], digital twinning technologies [17,18], smart grid [19] and solar and wind [20]. Regarding point (ii), as discussed later in the findings, a suitable approach for eliminating wastegenerating behaviour is through education and developing an awareness of the impact waste behaviour has on the availability of critical services.…”
Section: Introductionmentioning
confidence: 99%