A1 Journal article (refereed)
GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas (2019)


Laasasenaho, K., Lensu, A., Lauhanen, R., & Rintala, J. (2019). GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas. Sustainable Energy Technologies and Assessments, 32, 47-57. https://doi.org/10.1016/j.seta.2019.01.006


JYU authors or editors


Publication details

All authors or editorsLaasasenaho, K.; Lensu, Anssi; Lauhanen, R.; Rintala, J.

Journal or seriesSustainable Energy Technologies and Assessments

ISSN2213-1388

eISSN2213-1396

Publication year2019

Volume32

Issue number0

Pages range47-57

PublisherElsevier BV

Publication countryNetherlands

Publication languageEnglish

DOIhttps://doi.org/10.1016/j.seta.2019.01.006

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/64192


Keywordscircular economybiogasbiomass (industry)production chainsoptimisationgeographic information systems

Free keywordslocation-allocation; network analysis; wood terminal


Contributing organizations


Ministry reportingYes

Reporting Year2019

JUFO rating1


Last updated on 2024-08-01 at 18:02