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