Analysis of the impact resolution has on load matching in the Norwegian context

Sørnes, Kari; Fredriksen, Eyvind; Tunheim, Ketil; Sartori, Igor

doi:10.1016/j.egypro.2017.09.683

Cited by 6 publications

(1 citation statement)

References 4 publications

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“…Although it may be desirable to use a recording interval as short as possible [64,66], the impact on the self-consumption analysis may depend on the dynamics of the solar profile and the system under study [44]. Therefore, the error when matching the olive mill load consumption profile and photovoltaic generation profiles in a photovoltaic direct self-consumption system with a recording period of 60 min may be considerably lower than the ones observed in residential buildings [64,[66][67][68][69][74][75][76]. Therefore, hourly irradiance data and a recording interval of 15 min for E L may be used to estimate E PV,con , Φ sc and Φ ss in this type of industries on an annual basis.…”

Section: Impact Of Recording Time In Self-consumption Analisysmentioning

confidence: 99%

Impacts of Array Orientation and Tilt Angles for Photovoltaic Self-Sufficiency and Self-Consumption Indices in Olive Mills in Spain

et al. 2020

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Olive mills are extensive in the Mediterranean Basin, and Spain constitutes approximately 45% of global production. The industrial sector faces a new energetic paradigm where distributed generation provided by small renewable energy sources may reduce the dependence from fossil energy sources as well as avoid energy distribution losses. Photovoltaic self-consumption systems can play an important role in confronting this challenge due to their modularity and their decreasing cost. Most of self-sufficiency energy studies are focused on building sector and discussions about the idiosyncrasy of industrial load profiles, and their matching capability with photovoltaic generation profiles can be scarcely found. This work analyzes the potential of photovoltaic self-consumption systems as a function of the array power, array tilt, and orientation angles to face the electric consumption in olive mills. Different recording intervals and reporting periods are considered. Results show that a self-sufficiency index of 40% may be achieved on olive harvest basis. Moreover, due to the load profile particularities, percentage error lower than 1.6% has been found when considering a recording interval of 60 min when matching the olive load consumption and photovoltaic generation profiles. Chosen array tilt and orientation angles may be key parameters to maximize the self-sufficiency index.

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