Location of bioelectricity plants in the Madrid Community based on triticale crop: a multicriteria methodology


Autoria(s): Romero Cuadrado, Luis; Romero, M. S.; Cuadrado Ebrero, Maria Luisa; Fernandez Gonzalez, Jesus
Data(s)

2015

Resumo

This paper presents a work whose objective is, first, to quantify the potential of the triticale biomass existing in each of the agricultural regions in the Madrid Community through a crop simulation model based on regression techniques and multiple correlation. Second, a methodology for defining which area has the best conditions for the installation of electricity plants from biomass has been described and applied. The study used a methodology based on compromise programming in a discrete multicriteria decision method (MDM) context. To make a ranking, the following criteria were taken into account: biomass potential, electric power infrastructure, road networks, protected spaces, and urban nuclei surfaces. The results indicate that, in the case of the Madrid Community, the Campiña region is the most suitable for setting up plants powered by biomass. A minimum of 17,339.9 tons of triticale will be needed to satisfy the requirements of a 2.2 MW power plant. The minimum range of action for obtaining the biomass necessary in Campiña region would be 6.6 km around the municipality of Algete, based on Geographic Information Systems. The total biomass which could be made available in considering this range in this region would be 18,430.68 t.

Formato

application/pdf

Identificador

http://oa.upm.es/40741/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/40741/1/INVE_MEM_2015_222201.pdf

http://www.hindawi.com/journals/mpe/2015/483151/

info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1155/2015/483151

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Mathematical Problems in Engineering, ISSN 1024-123X, 2015, Vol. 2015

Palavras-Chave #Matemáticas #Telecomunicaciones
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed