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 editors: Laasasenaho, K.; Lensu, Anssi; Lauhanen, R.; Rintala, J.

Journal or series: Sustainable Energy Technologies and Assessments

ISSN: 2213-1388

eISSN: 2213-1396

Publication year: 2019

Volume: 32

Issue number: 0

Pages range: 47-57

Publisher: Elsevier BV

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.seta.2019.01.006

Publication open access: Not open

Publication channel open access:

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


Keywords: circular economy; biogas; biomass (industry); production chains; optimisation; geographic information systems

Free keywords: location-allocation; network analysis; wood terminal


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2021-10-06 at 13:51