Big Data Study of the Impact of Residential Usage and Inhomogeneities on the Diagnosability of PV-Connected Batteries DOI Creative Commons

Fahim Yasir,

Saeed Sepasi, Matthieu Dubarry

et al.

Batteries, Journal Year: 2025, Volume and Issue: 11(4), P. 154 - 154

Published: April 15, 2025

Grid-connected battery energy storage systems are usually used 24/7, which could prevent the utilization of typical diagnosis and prognosis techniques that require controlled conditions. While some new approaches have been proposed at laboratory level, impact real-world conditions still be problematic. This work investigates both additional residential usage on cells while charging inhomogeneities diagnosability batteries charged from photovoltaic systems. Using Big-Data synthetic datasets covering more than ten thousand possible degradations, we will show these impacts can accommodated to retain good under auspicious reach average RMSEs around 2.75%.

Language: Английский

Planning reliable wind- and solar-based electricity systems DOI Creative Commons
Tyler Ruggles, Edgar Virgüez, Natasha D. Reich

et al.

Advances in Applied Energy, Journal Year: 2024, Volume and Issue: 15, P. 100185 - 100185

Published: Aug. 10, 2024

Resource adequacy, or ensuring that electricity supply reliably meets demand, is more challenging for wind- and solar-based systems than fossil-fuel-based ones. Here, we investigate how the number of years past weather data used in designing least-cost relying on wind, solar, energy storage affects resource adequacy. We find nearly 40 are required to plan highly reliable (e.g., zero lost load over a decade). In comparison, this same adequacy could be attained with 15 when additionally allowing traditional dispatchable generation 5 % demand. further observe marginal cost improving increased as years, thus variability, were considered planning. Our results suggest reliability will require using considerably system planning current practice. However, considering potential costs associated unmet fewer may suffice balance against operational reliability.

Language: Английский

Citations

4

Big Data Study of the Impact of Residential Usage and Inhomogeneities on the Diagnosability of PV-Connected Batteries DOI Creative Commons

Fahim Yasir,

Saeed Sepasi, Matthieu Dubarry

et al.

Batteries, Journal Year: 2025, Volume and Issue: 11(4), P. 154 - 154

Published: April 15, 2025

Grid-connected battery energy storage systems are usually used 24/7, which could prevent the utilization of typical diagnosis and prognosis techniques that require controlled conditions. While some new approaches have been proposed at laboratory level, impact real-world conditions still be problematic. This work investigates both additional residential usage on cells while charging inhomogeneities diagnosability batteries charged from photovoltaic systems. Using Big-Data synthetic datasets covering more than ten thousand possible degradations, we will show these impacts can accommodated to retain good under auspicious reach average RMSEs around 2.75%.

Language: Английский

Citations

0