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

K. Laasasenaho; A. Lensu; R. Lauhanen; J. Rintala

doi:10.1016/j.seta.2019.01.006

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

K. Laasasenaho^*
, A. Lensu
, R. Lauhanen
, J. Rintala

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

58 Sitaatiot (Scopus)

51 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	47-57
Sivumäärä	11
Julkaisu	Sustainable Energy Technologies and Assessments
Vuosikerta	32
DOI - pysyväislinkit	https://doi.org/10.1016/j.seta.2019.01.006
Tila	Julkaistu - 1 huhtik. 2019
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

The data used in the present study were originally collected at the Seinäjoki University of Applied Sciences for the project “The Bioeconomy Guild: The Network of South Ostrobothnia Bioeconomy Experts” (European Regional Development Fund project number A72570). We thank the South Ostrobothnia Regional Fund for the grant provided to finalize this study. Special thanks are also extended to the municipal staff of the Kuudestaan region, grocery store staff, Kuortane Sports Resorts, Veljekset Keskinen Ltd., and Ähtäri Zoo. Finally, we thank the Lakeuden Etappi and Millespakka Ltd . waste collection companies for providing more detailed knowledge about the organic waste they have collected. Appendix A

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

SDG 7 – Edullinen ja puhdas energia
SDG 8 – Ihmisarvoinen työ ja taloudellinen kasvu
SDG 12 – Vastuullinen kulutus ja tuotanto

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology

Pääsy asiakirjaan

10.1016/j.seta.2019.01.006

laasasenaho_gis-data_related_routeAccepted author manuscript, 1,96 MBLisenssi: CC BY-NC-ND

http://urn.fi/URN:NBN:fi:tuni-201910033674Lisenssi: CC BY-NC-ND

Bio- ja kiertotalouden analyysilaitteet
Rintala, J. (Yhteyshenkilö) & Maanoja, S. (Yhteyshenkilö)
Materiaalitiede ja ympäristötekniikka
Laitteistot/tilat: Tutkimusinfrastruktuuri

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@article{50d767670b2443b5a2514188b34b30c2,

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

abstract = "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.",

keywords = "Biogas, Circular economy, Location-allocation, Network analysis, Wood terminal",

author = "K. Laasasenaho and A. Lensu and R. Lauhanen and J. Rintala",

year = "2019",

month = apr,

day = "1",

doi = "10.1016/j.seta.2019.01.006",

language = "English",

volume = "32",

pages = "47--57",

journal = "Sustainable Energy Technologies and Assessments",

issn = "2213-1388",

publisher = "Elsevier Limited",

}

GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas. / Laasasenaho, K.; Lensu, A.; Lauhanen, R. et al.
julkaisussa: Sustainable Energy Technologies and Assessments, Vuosikerta 32, 01.04.2019, s. 47-57.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

TY - JOUR

T1 - GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas

AU - Laasasenaho, K.

AU - Lensu, A.

AU - Lauhanen, R.

AU - Rintala, J.

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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.

AB - 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.

KW - Biogas

KW - Circular economy

KW - Location-allocation

KW - Network analysis

KW - Wood terminal

U2 - 10.1016/j.seta.2019.01.006

DO - 10.1016/j.seta.2019.01.006

M3 - Article

AN - SCOPUS:85061098980

SN - 2213-1388

VL - 32

SP - 47

EP - 57

JO - Sustainable Energy Technologies and Assessments

JF - Sustainable Energy Technologies and Assessments

ER -

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

Abstrakti

Rahoitus

YK:n kestävän kehityksen tavoitteet

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Laitteet

Bio- ja kiertotalouden analyysilaitteet

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