Assessing the growth of residential PV exports with energy efficiency and the opportunity for local generation network credits

Oliva H, S

Assessing the growth of residential PV exports with energy efficiency and the opportunity for local generation network credits

Oliva H, S

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Publication Type:: Journal Article
Citation:: Renewable Energy, 2018, 121 pp. 451 - 459
Issue Date:: 2018-06-01

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Field	Value	Language
dc.contributor.author	Oliva H, S https://orcid.org/0000-0003-4133-259X	en_US
dc.date.issued	2018-06-01	en_US
dc.identifier.citation	Renewable Energy, 2018, 121 pp. 451 - 459	en_US
dc.identifier.issn	0960-1481	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129260
dc.description.abstract	© 2018 Elsevier Ltd An unprecedented expansion of household photovoltaic (PV) systems coincided with a marked decline in household electricity demand in several jurisdictions around the world. This was driven by falling PV prices and the installation of more energy efficient residential appliances (EE). However, existing net metering arrangements value self-consumption of PV far more than PV exports to the grid. As a result, energy savings from EE that considerably reduce household PV self-consumption could also reduce the value of PV systems. Since PV exports generally utilise only part of the distribution grid, ‘local generation network credits’ (LGNCs) have been proposed to increase the value of PV exports. LGNCs also have the potential to improve the combined value of PV and EE. Given the large variability of the household PV generation and load and the time-varying structure of LGNCs, an empirical probabilistic method is proposed in this paper in order to assess the combined PV-EE value with the LGNC arrangements. The results show how simplistic feed-in tariffs have an adverse impact on the combined PV-EE value and how LGNCs can assist in removing barriers to the combined uptake of these two key clean energy technologies.	en_US
dc.relation.ispartof	Renewable Energy	en_US
dc.relation.isbasedon	10.1016/j.renene.2018.01.007	en_US
dc.subject.classification	Energy	en_US
dc.title	Assessing the growth of residential PV exports with energy efficiency and the opportunity for local generation network credits	en_US
dc.type	Journal Article
utslib.citation.volume	121	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	121	en_US

Abstract:

© 2018 Elsevier Ltd An unprecedented expansion of household photovoltaic (PV) systems coincided with a marked decline in household electricity demand in several jurisdictions around the world. This was driven by falling PV prices and the installation of more energy efficient residential appliances (EE). However, existing net metering arrangements value self-consumption of PV far more than PV exports to the grid. As a result, energy savings from EE that considerably reduce household PV self-consumption could also reduce the value of PV systems. Since PV exports generally utilise only part of the distribution grid, ‘local generation network credits’ (LGNCs) have been proposed to increase the value of PV exports. LGNCs also have the potential to improve the combined value of PV and EE. Given the large variability of the household PV generation and load and the time-varying structure of LGNCs, an empirical probabilistic method is proposed in this paper in order to assess the combined PV-EE value with the LGNC arrangements. The results show how simplistic feed-in tariffs have an adverse impact on the combined PV-EE value and how LGNCs can assist in removing barriers to the combined uptake of these two key clean energy technologies.

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http://hdl.handle.net/10453/129260