First Year of Smart Metering with a High Time Resolution - Realistic Self-Sufficiency Rates for Households with Solar Batteries
Stegner C, Bogenrieder J, Luchscheider P, Brabec C (2016)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2016
Publisher: Elsevier Ltd
Book Volume: 99
Pages Range: 360-369
Conference Proceedings Title: Energy Procedia
Event location: Düsseldorf
DOI: 10.1016/j.egypro.2016.10.126
Abstract
Measured data from distribution grids with a high time resolution is scarce although it is where most volatile power profiles occur. Electrical storage systems (ESS) can mitigate the imbalance of generation and demand. In this study smart meter data with a temporal resolution of 15 s is analyzed and an algorithm described, that allows identifying differently oriented generator in mixed PV plants. Various self-consumption scenarios are simulated with different setups and temporal resolution. The calculated self-sufficiency rates lead to recommendations for the dimensioning and give precise values for the correction of key parameters from simulations if data is not available in high temporal resolution. © 2016 The Authors. Published by Elsevier Ltd.
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How to cite
APA:
Stegner, C., Bogenrieder, J., Luchscheider, P., & Brabec, C. (2016). First Year of Smart Metering with a High Time Resolution - Realistic Self-Sufficiency Rates for Households with Solar Batteries. In Energy Procedia (pp. 360-369). Düsseldorf, DE: Elsevier Ltd.
MLA:
Stegner, Christoph, et al. "First Year of Smart Metering with a High Time Resolution - Realistic Self-Sufficiency Rates for Households with Solar Batteries." Proceedings of the 10th International Renewable Energy Storage Conference, IRES 2016, Düsseldorf Elsevier Ltd, 2016. 360-369.
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