dc.contributor.author
Medrano Martorell, Marc
dc.contributor.author
Brouwer, Jack
dc.contributor.author
Carreras-Sospedra, Marc
dc.contributor.author
Rodriguez, Marco A.
dc.contributor.author
Dabdub, Donald
dc.contributor.author
Samuelsen, G. Scott
dc.date.accessioned
2024-12-05T22:09:08Z
dc.date.available
2024-12-05T22:09:08Z
dc.date.issued
2016-03-01T12:23:38Z
dc.date.issued
2016-03-01T12:23:38Z
dc.identifier
https://doi.org/10.1504/IJETP.2008.019958
dc.identifier
http://hdl.handle.net/10459.1/56664
dc.identifier.uri
http://hdl.handle.net/10459.1/56664
dc.description.abstract
The implementation of Distributed Generation (DG) may lead
to increased pollutant emissions that adversely affect air quality. This work
presents a systematic methodology to characterise DG installation in urban
basins. First, a set of parameters that characterise a DG implementation
scenario is described. Second, a general approach using Geographic
Information Systems (GIS) data is presented. Third, the methodology is
demonstrated by application to the South Coast Air Basin (SoCAB) of
California. Results show that realistic scenarios in the SoCAB concentrate DG
technologies nearby industrial zones and introduce pollutant mass increments
no larger than 0.43% with respect to baseline emissions.
dc.description.abstract
We graciously acknowledge the financial support of the California Energy Commission, sponsor of this work, and the significant leadership and contributions of Marla Mueller, our Contract Manager. M. Carreras and M. Medrano thank the continuing support of the Balsells-Generalitat de Catalunya Fellowship.
dc.publisher
Inderscience
dc.relation
Reproducció del document publicat a https://doi.org/10.1504/IJETP.2008.019958
dc.relation
International Journal of Energy Technology and Policy, 2008, vol. 6, núm. 4, p. 413-434
dc.rights
(c) Inderscience Enterprises Ltd, 2008
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Distributed Generation
dc.title
A methodology for developing Distributed Generation scenarios in urban areas using geographical information systems