GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas

6533b839fe1ef96bd12a5bc4

RESEARCH PRODUCT

GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas

Jukka Rintala Kari Laasasenaho Risto Lauhanen Anssi Lensu

subject

Geographic information system Power station biomassa paikkatiedot 020209 energy 116 Chemical sciences Kernel density estimation ta220 tuotantoketjut Energy Engineering and Power Technology wood terminal 02 engineering and technology Agricultural engineering terminaalit verkostoanalyysi optimointi 020401 chemical engineering Biogas Bioenergy biogas 0202 electrical engineering electronic engineering information engineering biomassa (teollisuus)0204 chemical engineering network analysis ta218 ta113 tehtaat biokaasu Renewable Energy Sustainability and the Environment business.industry circular economy puut (kasvit)Sizing Hierarchical clustering bioenergia paikkatietojärjestelmät kiertotalous Environmental science location-allocation biokaasulaitokset Rural area business

description

Currently, geographic information system (GIS) models are popular for studying location-allocation-related questions concerning bioenergy plants. The aim of this study was to develop a model to investigate optimal locations for two different types of bioenergy plants, for farm and centralized biogas plants, and for wood terminals in rural areas based on minimizing transportation distances. The optimal locations of biogas plants were determined using location optimization tools in R software, and the optimal locations of wood terminals were determined using kernel density tools in ArcGIS. The present case study showed that the utilized GIS tools are useful for bioenergy-related decision-making to identify potential bioenergy areas and to optimize biomass transportation, and help to plan power plant sizing when candidate bioenergy plant locations have not been defined in advance. In the study area, it was possible to find logistically viable locations for 13 farm biogas plants (>100 kW) and for 8 centralized biogas plants (>300 kW) using a 10-km threshold for feedstock supply. In the case of wood terminals, the results identified the most intensive wood reserves near the highest road classes, and two potential locations were determined. acceptedVersion Peer reviewed

year	journal	country	edition	language
2019-04-01	Sustainable Energy Technologies and Assessments

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