Sizing of PV storage systems for different household types

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Sizing of PV storage systems for different household types. / Böckl, Benjamin; Kienberger, Thomas.

In: Journal of energy storage, Vol. 2019, 100763, 01.08.2019.

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@article{96994cf720884d398710f43ec58ecf4f,
title = "Sizing of PV storage systems for different household types",
abstract = "This paper presents a novel method of sizing PV storage systems for different household types such as single -, family –shared flats – or pensioner households. The method is based on a simulation model that characterizes the PV system including peripheral components like the inverter and the battery. The required input data to carry out the calculations is gathered from simulated household loads, characteristics of system components and measured radiation values. Sizing the grid-connected PV storage system is performed based on technical parameters only, without economic evaluation. The results show significant differences in the ideal system configuration depending on the household types ranging from a PV to battery ratio of 0.76–4.25 kW peak/kWh. This suggests, that the household type needs to be considered before installing a PV storage system in order to ensure optimal results for the customer and the energy system. After the technical sizing, the results are compared to economic design optima, in order to investigate existing differences. ",
author = "Benjamin B{\"o}ckl and Thomas Kienberger",
year = "2019",
month = aug,
day = "1",
doi = "10.1016/j.est.2019.100763",
language = "English",
volume = "2019",
journal = " Journal of energy storage",
issn = "2352-152X",
publisher = "Elsevier Ltd",

}

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TY - JOUR

T1 - Sizing of PV storage systems for different household types

AU - Böckl, Benjamin

AU - Kienberger, Thomas

PY - 2019/8/1

Y1 - 2019/8/1

N2 - This paper presents a novel method of sizing PV storage systems for different household types such as single -, family –shared flats – or pensioner households. The method is based on a simulation model that characterizes the PV system including peripheral components like the inverter and the battery. The required input data to carry out the calculations is gathered from simulated household loads, characteristics of system components and measured radiation values. Sizing the grid-connected PV storage system is performed based on technical parameters only, without economic evaluation. The results show significant differences in the ideal system configuration depending on the household types ranging from a PV to battery ratio of 0.76–4.25 kW peak/kWh. This suggests, that the household type needs to be considered before installing a PV storage system in order to ensure optimal results for the customer and the energy system. After the technical sizing, the results are compared to economic design optima, in order to investigate existing differences.

AB - This paper presents a novel method of sizing PV storage systems for different household types such as single -, family –shared flats – or pensioner households. The method is based on a simulation model that characterizes the PV system including peripheral components like the inverter and the battery. The required input data to carry out the calculations is gathered from simulated household loads, characteristics of system components and measured radiation values. Sizing the grid-connected PV storage system is performed based on technical parameters only, without economic evaluation. The results show significant differences in the ideal system configuration depending on the household types ranging from a PV to battery ratio of 0.76–4.25 kW peak/kWh. This suggests, that the household type needs to be considered before installing a PV storage system in order to ensure optimal results for the customer and the energy system. After the technical sizing, the results are compared to economic design optima, in order to investigate existing differences.

UR - http://www.scopus.com/inward/record.url?scp=85066938338&partnerID=8YFLogxK

U2 - 10.1016/j.est.2019.100763

DO - 10.1016/j.est.2019.100763

M3 - Article

VL - 2019

JO - Journal of energy storage

JF - Journal of energy storage

SN - 2352-152X

M1 - 100763

ER -