A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types

Jayarathna, Lasinidu; Kent, Geoff; O’Hara, Ian M.; Hobson, Philip

doi:10.1016/j.apenergy.2020.115398

Cited by 55 publications

(13 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The de ned distance of 30 km (Fig. 2) was a contrast to Jayarathna et al [22], who recommended 100 km, and Viana et al [13] with 35 km; the differences are due to the electricity and transportation costs of each country in addition to the maximum available energy capacity of the regions under study.…”

Section: Importance Of Biomass Distance In Power Plantsmentioning

confidence: 87%

“…The potential for plant location was evaluated with a scale from 1 to 100, where values close to 1 show impossibility to develop the plant and values close to 100 considered the project viable. In addition, using a combustion process with a second-generation combustion plant for mixed dry biomass processing was considered [22].…”

Section: Variables For Determining the Best Plant Locationmentioning

confidence: 99%

See 1 more Smart Citation

Determination of the Optimal Size and Location of an Electricity Generation Plant that Uses Lignocellulosic Residues from Costa Rican Northern

et al. 2022

View full text Add to dashboard Cite

The northern zone of Costa Rica has extensive forestry and agro-industrial development, which generates a large number of lignocellulosic residues that do not have an economic value but could represent a vast energy potential. Therefore, the objective of this study was to determine the optimal size and location of an electricity generation plant from the forest and agro-industrial biomass. The researchers worked with two forest species residues (Gmelina arborea and Tectona grandis) and two agro-industrial residues (Anana comosus and Saccharum o cinarum), representing the most extensive cultivations in the region. The material was characterized, then GIS layers of the species cultivation areas were analyzed and related to the roads and protected areas to de ne the twelve potential points where the power plant should be installed. Later the optimal supply radius of the plant and the optimal site conditions were determined. The study determined that the tree species have an average caloric power of 19059.50 kJ/kg, signi cantly higher than the agro-industrial ones (16684.9 kJ/kg). It was determined that 1,056,527.67 tons of dry biomass are generated per year, 6.5% of the biomass is arboreal, and 79.97% comes from A. comosus. Also, it was determined that the optimal supply radius for the plant is 30 km. Longer distances make the project nancially unviable. Considering this, the annual energy potential of the twelve points was evaluated, which varied from 4.06 to 101.82 MW. Point eleven was determined the best positioned by the biomass source and optimal environmental conditions for establishing the power plant.

show abstract

Section: Importance Of Biomass Distance In Power Plantsmentioning

confidence: 87%

Section: Variables For Determining the Best Plant Locationmentioning

confidence: 99%

Determination of the Optimal Size and Location of an Electricity Generation Plant that Uses Lignocellulosic Residues from Costa Rican Northern

et al. 2022

View full text Add to dashboard Cite

show abstract

“…1 seed and oil for each township, we pre-exclude some townships by imposing relevant economic constraints for crushing plants, such as economically viable road and rail access [32]. Pre-exclusion eliminates non-feasible sites and thereby reduces computations in the site location analysis [33,34].…”

Section: Candidate Site Pre-exclusionsmentioning

confidence: 99%

Potential Supplies of Fuel-Grade Canola Oil for Low-Carbon Fuel Production in Alberta, Canada: GIS Analysis Using an Improved Service-Area Approach

et al. 2023

View full text Add to dashboard Cite

Our study investigates prospects for a fuel-grade canola oil supply chain that prioritizes the use of non-No. 1 Canola as a biofuel feedstock. Using low-grade canola oil to produce biofuels can reduce feedstock costs and offers the opportunity to utilize existing petroleum infrastructure to transport and store canola oil, thereby reducing capital costs for biore nery investments. We conduct a township-level GIS analysis to assess the availability of canola seed in Alberta and identify potential fuel-grade crushing sites based on the amount of annually accessible non-No. 1 Canola. Using an improved service-area approach, we identify three potential sites for fuel-grade crushers, all of which had su cient seed to produce, on average, over 65 thousand tonnes of oil per year (from 2016-2019). Northwestern Alberta appears to be especially suitable for a fuel-grade canola crushing plant, since it has the highest average amounts of non-No. 1 seed, and there are no existing food-grade crushers to compete with. Results further show that spatial and temporal variation in canola harvests impacts how much non-No.1 seed is available, and could therefore in uence investment decisions on where to locate fuel-grade canola crushing plants. New fuel-grade crushing plants could also stimulate regional development and boost incomes for local canola producers. Our analysis is relevant to policy and business decisions related to fuel-grade canola oil supply chain investments.

show abstract

“…Accordingly, they generate 4 site suitability classes from least suitable to best suitable to evaluate the relevance of the potential areas in terms of solar PV power. Regarding dispatchable resources (no time involved) such as biomass, Jayarathna et al [14] have applied GIS and fuzzy multi-criteria analysis in order to find the optimal sites (location, size) for bio-energy power plants in Queensland, Australia. GIS allows the exclusion of unsuitable locations, then fuzzy logic is applied to standardize the chosen criteria, and finally AHP is used to assign weights to those criteria.…”

Section: Re Planning and Spatiotemporal Modeling: A Literature Reviewmentioning

confidence: 99%

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Pillot¹,

Al-Kurdi²,

Gervet³

et al. 2021

Applied Energy

View full text Add to dashboard Cite

show abstract

A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types

Cited by 55 publications

References 42 publications

Determination of the Optimal Size and Location of an Electricity Generation Plant that Uses Lignocellulosic Residues from Costa Rican Northern

Determination of the Optimal Size and Location of an Electricity Generation Plant that Uses Lignocellulosic Residues from Costa Rican Northern

Potential Supplies of Fuel-Grade Canola Oil for Low-Carbon Fuel Production in Alberta, Canada: GIS Analysis Using an Improved Service-Area Approach

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Contact Info

Product

Resources

About