A GIS methodology for optimal location of a wood-fired power plant: Quantification of available woodfuel, supply chain costs and GHG emissions

Sánchez-García, Sandra; Athanassiadis, Dimitris; Martínez-Alonso, Celia; Tolosana, Eduardo; Majada, Juan; Canga, Elena

doi:10.1016/j.jclepro.2017.04.058

Cited by 43 publications

(15 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particularly, the location of the power plant is critical [22] and the Geographic Information System (GIS) is one of the most powerful and widely accepted tools for planning in agriculture and forestry sectors [23][24][25][26]. In fact, GIS permits us to combine both spatial and non-spatial factors such as the extractable biomass from forests and orchards, cost indicators and particular restrictions applied on a given area [27][28][29] to assess land suitability for the location of the biomass plant [30][31][32] and support the decision-making phase of the whole supply chains [19,33,34].…”

Section: Introductionmentioning

confidence: 99%

A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs

et al. 2020

View full text Add to dashboard Cite

The valorization of agricultural residues plays a fundamental role in renewable energy production. Particularly, the management of olive orchards in Lazio region generates a considerable amount of biomass that is currently unexploited, but it could represent a valid source of solid biofuel for energy production in the Lazio region (Italy). Using a Geographic Information System (GIS) approach entirely based on open source software, five suitable areas (A, B, C, D and E) have been selected as eligible for hosting and feeding a 1 MWe power plant. Harvesting and transportation costs were also calculated. The harvesting operation costs were EUR 96.79 Mgfm−1 in A, while they ranged from EUR 49.83 Mgfm−1 (E) up to EUR 56.51 Mgfm−1 (D) for the other sub-areas. Sub-area A showed also higher transport costs, EUR 21.55 Mgfm−1 while the same value ranged from EUR 14.75 Mgfm−1 (E) to EUR 16.59 Mgfm−1 (B) in the other sub-areas. However harvesting costs resulted higher than those reported in the literature, mainly due to the low pruning yield per surface unit, an aspect which is directly related to the olive grove’s management in the region where annual pruning is the usual practice. Future developments of the present study should encompass the social and environmental aspects of residual biomass supply chains herein proposed.

show abstract

Section: Introductionmentioning

confidence: 99%

A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The first computer-driven systems of this nature were implemented in the 1960s [23], and since then GIS infrastructure development has been closely connected with the development of computing hardware and software [24]. The 1990s saw the introduction of GIS in research into biomass supply and transportation, where the methods were brought to bear primarily for ascertaining the economic costs of biomass supply logistics [19,25,26]. Later, the scope of such studies was extended such that aspects additional to monetary economye.g., landuse changes and environmental impacts of biomass-handlingwere taken into account [27].…”

Section: Geographic Information Systemsmentioning

confidence: 99%

Modeling of biomass supply system by combining computational methods – A review article

Aalto

Korpinen

et al. 2019

Applied Energy

View full text Add to dashboard Cite

As computing power increases, more complex computational models are utilized for biomass supply system studies. The paper describes three commonly used modeling methods in this context, geographic information systems, life-cycle assessment, and discrete-time simulation and presents bibliometric analysis of work using these three study methods. Of the 498 publications identified in searches of the Scopus and Web of Science databases, 17 reported on combinations of methods: 10 on life-cycle assessment and geographic information systems, six on joint use of life-cycle assessment and discrete-time simulation, and one on use of geographic information systems jointly with discrete-time simulation. While no articles dealt directly with simultaneous use of all three methods, several acknowledged the potential of this. The authors discuss numerous challenges identified in the review that arise in combining methods, among them computational load, the increasing number of assumptions, guaranteeing coherence between the models used, and the large quantities of data required.Discussion of issues such as the complexity of reporting and the need for standard procedures and terms becomes more critical as repositories bring together research materials, including entire models, from various sources. Efforts to mitigate many of modeling's challenges have involved phase-specific modeling and use of such methods as expressions or uncertainty analysis in place of a complex secondary model. The authors conclude that combining modeling methods offer considerable potential for taking more variables into account; improving the results; and benefiting researchers, decision-makers, and operation managers by producing more reliable information.

show abstract

“…SCM is quite significant also for woody biomass considering strategic planning. Authors in [40] analyzed the viability of eucalyptus supply chain and further evaluated the optimal location of a power plant to be fed by wood. Their analysis was based on GIS databases to calculate available biomass under certain restrictions.…”

Section: Strategic Planningmentioning

confidence: 99%

“…In [40], optimization of supply chain was pointed out, targeting the optimal location of wood-fired plants under specific constraints. SRC willow, as it has been presented above in [41], is under the scope of supply-chain operational planning (regarding harvesting and handling operations) in the supply chain from field to plant.…”

Section: Operational Planningmentioning

confidence: 99%

Green, Yellow, and Woody Biomass Supply-Chain Management: A Review

et al. 2019

View full text Add to dashboard Cite

Various sources of biomass contribute significantly in energy production globally given a series of constraints in its primary production. Green biomass sources (such as perennial grasses), yellow biomass sources (such as crop residues), and woody biomass sources (such as willow) represent the three pillars in biomass production by crops. In this paper, we conducted a comprehensive review on research studies targeted to advancements at biomass supply-chain management in connection to these three types of biomass sources. A framework that classifies the works in problem-based and methodology-based approaches was followed. Results show the use of modern technological means and tools in current management-related problems. From the review, it is evident that the presented up-to-date trends on biomass supply-chain management and the potential for future advanced approach applications play a crucial role on business and sustainability efficiency of biomass supply chain.

show abstract

A GIS methodology for optimal location of a wood-fired power plant: Quantification of available woodfuel, supply chain costs and GHG emissions

Cited by 43 publications

References 40 publications

A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs

A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs

Modeling of biomass supply system by combining computational methods – A review article

Green, Yellow, and Woody Biomass Supply-Chain Management: A Review

Contact Info

Product

Resources

About