Benefit assessment of battery plus solar for customers and the grid

A method that can assess the benefit for both the customers and the distribution grid when household or community batteries are installed without central control is presented. An agent-based model is used where the household assets' characteristics and behaviours are modelled and linked to a ne...

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Main Authors:	Fanny Boulaire, Afsaneh Narimani, John Bell, Robin Drogemuller, Desley Vine, Laurie Buys, Geoffrey Walker
Format:	Article
Language:	English
Published:	Elsevier 2019-11-01
Series:	Energy Strategy Reviews
Online Access:	http://www.sciencedirect.com/science/article/pii/S2211467X19300653

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spelling	doaj-3dc981933ffc446480c08f2c92f161d22020-11-25T01:56:25ZengElsevierEnergy Strategy Reviews2211-467X2019-11-0126Benefit assessment of battery plus solar for customers and the gridFanny Boulaire0Afsaneh Narimani1John Bell2Robin Drogemuller3Desley Vine4Laurie Buys5Geoffrey Walker6Queensland University of Technology, Brisbane, Qld, 4000, Australia; Corresponding author. Queensland University of Technology, Gardens Point – P Block level 7, Brisbane, Qld, 4000, Australia.Queensland University of Technology, Brisbane, Qld, 4000, Australia; Now at EY, Brisbane, Qld, 4000, AustraliaQueensland University of Technology, Brisbane, Qld, 4000, AustraliaQueensland University of Technology, Brisbane, Qld, 4000, AustraliaQueensland University of Technology, Brisbane, Qld, 4000, AustraliaQueensland University of Technology, Brisbane, Qld, 4000, AustraliaQueensland University of Technology, Brisbane, Qld, 4000, AustraliaA method that can assess the benefit for both the customers and the distribution grid when household or community batteries are installed without central control is presented. An agent-based model is used where the household assets' characteristics and behaviours are modelled and linked to a network model. Electricity data from dwellings on one street in Townsville, Australia, was used to populate the models, and simulations were run under three battery scenarios. The scenarios considered were a) “Business as usual” when no battery storage is installed, b) individual batteries are installed at each household, c) a community battery that would supply all the households is installed. Customer benefits are calculated from the operational costs savings using two types of tariffs available in Queensland. The network assets’ health is assessed considering load, current and voltage levels at the distribution transformer. These simulations lead to a better informed decision for the customer, and give the utility insight into how such technologies might impact their assets. Keywords: Agent-based modelling, Storage, Renewable energy communities, Low voltage networkhttp://www.sciencedirect.com/science/article/pii/S2211467X19300653
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Fanny Boulaire Afsaneh Narimani John Bell Robin Drogemuller Desley Vine Laurie Buys Geoffrey Walker
spellingShingle	Fanny Boulaire Afsaneh Narimani John Bell Robin Drogemuller Desley Vine Laurie Buys Geoffrey Walker Benefit assessment of battery plus solar for customers and the grid Energy Strategy Reviews
author_facet	Fanny Boulaire Afsaneh Narimani John Bell Robin Drogemuller Desley Vine Laurie Buys Geoffrey Walker
author_sort	Fanny Boulaire
title	Benefit assessment of battery plus solar for customers and the grid
title_short	Benefit assessment of battery plus solar for customers and the grid
title_full	Benefit assessment of battery plus solar for customers and the grid
title_fullStr	Benefit assessment of battery plus solar for customers and the grid
title_full_unstemmed	Benefit assessment of battery plus solar for customers and the grid
title_sort	benefit assessment of battery plus solar for customers and the grid
publisher	Elsevier
series	Energy Strategy Reviews
issn	2211-467X
publishDate	2019-11-01
description	A method that can assess the benefit for both the customers and the distribution grid when household or community batteries are installed without central control is presented. An agent-based model is used where the household assets' characteristics and behaviours are modelled and linked to a network model. Electricity data from dwellings on one street in Townsville, Australia, was used to populate the models, and simulations were run under three battery scenarios. The scenarios considered were a) “Business as usual” when no battery storage is installed, b) individual batteries are installed at each household, c) a community battery that would supply all the households is installed. Customer benefits are calculated from the operational costs savings using two types of tariffs available in Queensland. The network assets’ health is assessed considering load, current and voltage levels at the distribution transformer. These simulations lead to a better informed decision for the customer, and give the utility insight into how such technologies might impact their assets. Keywords: Agent-based modelling, Storage, Renewable energy communities, Low voltage network
url	http://www.sciencedirect.com/science/article/pii/S2211467X19300653
work_keys_str_mv	AT fannyboulaire benefitassessmentofbatteryplussolarforcustomersandthegrid AT afsanehnarimani benefitassessmentofbatteryplussolarforcustomersandthegrid AT johnbell benefitassessmentofbatteryplussolarforcustomersandthegrid AT robindrogemuller benefitassessmentofbatteryplussolarforcustomersandthegrid AT desleyvine benefitassessmentofbatteryplussolarforcustomersandthegrid AT lauriebuys benefitassessmentofbatteryplussolarforcustomersandthegrid AT geoffreywalker benefitassessmentofbatteryplussolarforcustomersandthegrid
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Benefit assessment of battery plus solar for customers and the grid

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