The effect of building energy management systems on battery aging
Smart buildings are a key element to walk towards smart cities and grids. Nonetheless, there are several degrees of intelligence. A first step is to incorporate commercial self-consumption solutions in buildings so they can manage the energy from local renewable power generators. A second step is to...
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EDP Sciences
2018-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://doi.org/10.1051/e3sconf/20186100014 |
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doaj-15e97a754a064bf7bec159211232a29b2021-02-02T08:52:57ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01610001410.1051/e3sconf/20186100014e3sconf_icren2018_00014The effect of building energy management systems on battery agingCanals Casals Lluc0Igualada Lucía1Corchero Cristina2Catalonia Institute for Energy Research (IREC), Energy Systems Analytics DepartmentCatalonia Institute for Energy Research (IREC), Energy Systems Analytics DepartmentCatalonia Institute for Energy Research (IREC), Energy Systems Analytics DepartmentSmart buildings are a key element to walk towards smart cities and grids. Nonetheless, there are several degrees of intelligence. A first step is to incorporate commercial self-consumption solutions in buildings so they can manage the energy from local renewable power generators. A second step is to substitute this commercial solutions with an optimized Energy Management System (EMS) to reduce the electricity bill at the end of the month. Further. This EMS may contribute to stabilize and improve the quality and emissions of the electricity grid by offering some energy flexibility to the electricity system in favour of decentralization. This study compares the battery aging between buildings that count with an EMS to optimize the electricity bill under three scenarios in contrast to those that have a simple self-consumption kit. Lithium ion battery lifespan is estimated by means of an electric equivalent battery circuit model that runs on Matlab and simulates its behaviour through time. Moreover, this study evaluates the distribution of the battery costs regarding its use, observing that batteries controlled by simple self-consumption kits have longer lifespan because they are underused, ending up in higher calendar aging costs than the ones that are controlled by EMS.https://doi.org/10.1051/e3sconf/20186100014 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Canals Casals Lluc Igualada Lucía Corchero Cristina |
spellingShingle |
Canals Casals Lluc Igualada Lucía Corchero Cristina The effect of building energy management systems on battery aging E3S Web of Conferences |
author_facet |
Canals Casals Lluc Igualada Lucía Corchero Cristina |
author_sort |
Canals Casals Lluc |
title |
The effect of building energy management systems on battery aging |
title_short |
The effect of building energy management systems on battery aging |
title_full |
The effect of building energy management systems on battery aging |
title_fullStr |
The effect of building energy management systems on battery aging |
title_full_unstemmed |
The effect of building energy management systems on battery aging |
title_sort |
effect of building energy management systems on battery aging |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2018-01-01 |
description |
Smart buildings are a key element to walk towards smart cities and grids. Nonetheless, there are several degrees of intelligence. A first step is to incorporate commercial self-consumption solutions in buildings so they can manage the energy from local renewable power generators. A second step is to substitute this commercial solutions with an optimized Energy Management System (EMS) to reduce the electricity bill at the end of the month. Further. This EMS may contribute to stabilize and improve the quality and emissions of the electricity grid by offering some energy flexibility to the electricity system in favour of decentralization. This study compares the battery aging between buildings that count with an EMS to optimize the electricity bill under three scenarios in contrast to those that have a simple self-consumption kit. Lithium ion battery lifespan is estimated by means of an electric equivalent battery circuit model that runs on Matlab and simulates its behaviour through time. Moreover, this study evaluates the distribution of the battery costs regarding its use, observing that batteries controlled by simple self-consumption kits have longer lifespan because they are underused, ending up in higher calendar aging costs than the ones that are controlled by EMS. |
url |
https://doi.org/10.1051/e3sconf/20186100014 |
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