Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data

This paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage system (BESS) systems on the overlap between generation and d...

Full description

Bibliographic Details
Main Authors: Sofiane Kichou, Nikolaos Skandalos, Petr Wolf
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/11/2727
_version_ 1827716039936311296
author Sofiane Kichou
Nikolaos Skandalos
Petr Wolf
author_facet Sofiane Kichou
Nikolaos Skandalos
Petr Wolf
author_sort Sofiane Kichou
collection DOAJ
description This paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage system (BESS) systems on the overlap between generation and demand. Different PV array configurations and battery storage capacities were considered. Detailed solar analysis was carried out to analyze the solar potential of the building and to assess the PV electricity production. The evaluation of the building performance was done through MATLAB simulations based on one-year monitored data. The simulation results were used for the calculation of the load matching indices: namely, the self-consumption and self-sufficiency. It was found that optimized array tilt and orientation angles can effectively contribute to a better adjustment between electricity demand and solar PV generation. The addition of a façade PV system increases significantly the PV generation and thus the load matching during winter months. Mismatch is further reduced by using the energy flexibility provided by the BESS. Depending on the PV size and BESS capacity, the self-consumption and the self-sufficiency of the building could increase from 55% to 100% and from 24% up to 68%, respectively.
first_indexed 2024-03-10T19:31:53Z
format Article
id doaj.art-eaa99fa3e7ae401e9859b62e5fe0a0fa
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-10T19:31:53Z
publishDate 2020-05-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-eaa99fa3e7ae401e9859b62e5fe0a0fa2023-11-20T02:05:52ZengMDPI AGEnergies1996-10732020-05-011311272710.3390/en13112727Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored DataSofiane Kichou0Nikolaos Skandalos1Petr Wolf2University Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech RepublicUniversity Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech RepublicUniversity Centre for Energy Efficient Buildings, Czech Technical University in Prague Třinecká 1024, 273 43 Buštěhrad, Czech RepublicThis paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage system (BESS) systems on the overlap between generation and demand. Different PV array configurations and battery storage capacities were considered. Detailed solar analysis was carried out to analyze the solar potential of the building and to assess the PV electricity production. The evaluation of the building performance was done through MATLAB simulations based on one-year monitored data. The simulation results were used for the calculation of the load matching indices: namely, the self-consumption and self-sufficiency. It was found that optimized array tilt and orientation angles can effectively contribute to a better adjustment between electricity demand and solar PV generation. The addition of a façade PV system increases significantly the PV generation and thus the load matching during winter months. Mismatch is further reduced by using the energy flexibility provided by the BESS. Depending on the PV size and BESS capacity, the self-consumption and the self-sufficiency of the building could increase from 55% to 100% and from 24% up to 68%, respectively.https://www.mdpi.com/1996-1073/13/11/2727photovoltaicsbattery storageelectrical consumptionsolar analysisload matching indicators
spellingShingle Sofiane Kichou
Nikolaos Skandalos
Petr Wolf
Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
Energies
photovoltaics
battery storage
electrical consumption
solar analysis
load matching indicators
title Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
title_full Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
title_fullStr Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
title_full_unstemmed Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
title_short Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data
title_sort evaluation of photovoltaic and battery storage effects on the load matching indicators based on real monitored data
topic photovoltaics
battery storage
electrical consumption
solar analysis
load matching indicators
url https://www.mdpi.com/1996-1073/13/11/2727
work_keys_str_mv AT sofianekichou evaluationofphotovoltaicandbatterystorageeffectsontheloadmatchingindicatorsbasedonrealmonitoreddata
AT nikolaosskandalos evaluationofphotovoltaicandbatterystorageeffectsontheloadmatchingindicatorsbasedonrealmonitoreddata
AT petrwolf evaluationofphotovoltaicandbatterystorageeffectsontheloadmatchingindicatorsbasedonrealmonitoreddata