Fellerer J, Scharrer D, German R (2024)
Publication Language: English
Publication Type: Journal article, Online publication
Publication year: 2024
DOI: 10.2139/ssrn.4804780
Open Access Link: https://dx.doi.org/10.2139/ssrn.4804780
The Renewable Energy Sources wind and solar are key drivers for the transition to a greenhouse gas neutral economy.However, they pose the inherent problem of high fluctuation in their availability, thereby affecting the consistency of energy generation.Electric Energy Storage systems are a key technology for solving many of the emerging challenges.As these entail their own investment costs, the added benefit of these systems has to be calculated.Typical energetic measures are self-sufficiency, self-consumption and the loss-of-load probability.The considered energy system possesses some form of renewable energy generation, an intrinsic energy demand and a potential Electric Energy Storage.This paper presents an algorithm that uses time series for the demand and renewable generation to construct an analytic solution and closed-form expression and its parameters for the named energetic measures as a function of the usable capacity of the Electric Energy Storage.To be able to compute those functions, new system properties, called "effectiveness" and "gain", are introduced, derived and suggested as new, more general key performance indicators.Power limits, charging and discharging efficiencies, and efficiencies for the direct use of generation by the system can be considered.Since no simulation or optimization is required to perform the analysis, it is computationally efficient and easy to set up with a relatively small amount of input data.
APA:
Fellerer, J., Scharrer, D., & German, R. (2024). Analytic Closed-Form Expressions for Energetic Measures as a Function of the Capacity of Electric Energy Storage - Effective Energy Shift Algorithm. Social Science Research Network. https://doi.org/10.2139/ssrn.4804780
MLA:
Fellerer, Jonathan, Daniel Scharrer, and Reinhard German. "Analytic Closed-Form Expressions for Energetic Measures as a Function of the Capacity of Electric Energy Storage - Effective Energy Shift Algorithm." Social Science Research Network (2024).
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