Storage Sizing for Renewable Energy Systems – Its Dependence on the Sequential Characteristics of the Meteorological Data, discussed for Autonomous PV + Storage Systems

Hans-Georg Beyer

Storage Sizing for Renewable Energy Systems – Its Dependence on the Sequential Characteristics of the Meteorological Data, discussed for Autonomous PV + Storage Systems

Hans-Georg Beyer

Náttúruvísindadeildin - Faculty of Science and Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

The reliability of the sizing of storage for renewable energy system sis strongly dependent on the selection of the
underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the
distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data
sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage
sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data
sets, influencing the sizing of a the storage capacity.

Original language	English
Number of pages	9
Publication status	Published - 25 Sept 2022
Event	Eurosun 2022 - University of Kassel, Kassel, Germany Duration: 25 Sept 2022 → 28 Oct 2022 https://www.eurosun2022.org/

Conference

Conference	Eurosun 2022
Country/Territory	Germany
City	Kassel
Period	25/09/22 → 28/10/22
Internet address	https://www.eurosun2022.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

solar energy systems
energy meteorology
meteorological data characteristics
storage sizing
renewable energy systems

Cite this

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title = "Storage Sizing for Renewable Energy Systems – Its Dependence on the Sequential Characteristics of the Meteorological Data, discussed for Autonomous PV + Storage Systems",

abstract = "The reliability of the sizing of storage for renewable energy system sis strongly dependent on the selection of the underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data sets, influencing the sizing of a the storage capacity.",

keywords = "solar energy systems, energy meteorology, meteorological data characteristics, storage sizing, renewable energy systems",

author = "Hans-Georg Beyer",

year = "2022",

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language = "English",

note = "Eurosun 2022 ; Conference date: 25-09-2022 Through 28-10-2022",

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T1 - Storage Sizing for Renewable Energy Systems – Its Dependence on the Sequential Characteristics of the Meteorological Data, discussed for Autonomous PV + Storage Systems

AU - Beyer, Hans-Georg

PY - 2022/9/25

Y1 - 2022/9/25

N2 - The reliability of the sizing of storage for renewable energy system sis strongly dependent on the selection of the underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data sets, influencing the sizing of a the storage capacity.

AB - The reliability of the sizing of storage for renewable energy system sis strongly dependent on the selection of the underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data sets, influencing the sizing of a the storage capacity.

KW - solar energy systems

KW - energy meteorology

KW - meteorological data characteristics

KW - storage sizing

KW - renewable energy systems

M3 - Paper

T2 - Eurosun 2022

Y2 - 25 September 2022 through 28 October 2022

ER -

Storage Sizing for Renewable Energy Systems – Its Dependence on the Sequential Characteristics of the Meteorological Data, discussed for Autonomous PV + Storage Systems

Abstract

Conference

UN SDGs

Keywords

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Cite this