Optimal sizing of a hybrid grid-connected photovoltaic–wind–biomass power system

Thumbnail
View/Open
Issue date
2015
Author
González Juncà, Arnau
Riba Ruiz, Jordi-Roger
Rius Carrasco, Antoni
Suggested citation
González Juncà, Arnau; Riba Ruiz, Jordi-Roger; Rius Carrasco, Antoni; . (2015) . Optimal sizing of a hybrid grid-connected photovoltaic–wind–biomass power system. Sustainability, 2015, vol. 7, núm. 9, p. 12787-12806. https://doi.org/10.3390/su70912787.
Impact

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
Abstract
Hybrid renewable energy systems (HRES) are a trendy alternative to enhance the renewable energy deployment worldwide. They effectively take advantage of scalability and flexibility of these energy sources, since combining two or more allows counteracting the weaknesses of a stochastic renewable energy source with the strengths of another or with the predictability of a non-renewable energy source. This work presents an optimization methodology for minimum life cycle cost of a HRES based on solar photovoltaic, wind and biomass power. Biomass power seeks to take advantage of locally available forest wood biomass in the form of wood chips to provide energy in periods when the PV and wind power generated are not enough to match the existing demand. The results show that a HRES combining the selected three sources of renewable energy could be installed in a rural township of about 1300 dwellings with an up-front investment of US $7.4 million, with a total life cycle cost of slightly more than US $30 million. Such a system would have benefits in terms of energy autonomy and environment quality improvement, as well as in term of job opportunity creation.
URI
http://hdl.handle.net/10459.1/71217
DOI
https://doi.org/10.3390/su70912787
Is part of
Sustainability, 2015, vol. 7, núm. 9, p. 12787-12806
Collections

The following license files are associated with this item:

cc-by (c) A. González Juncá et al., 2015
Except where otherwise noted, this item's license is described as cc-by (c) A. González Juncá et al., 2015