A Review of the Application of Gis in Biomass and Solid Waste Supply Chain Optimization: Gaps and Opportunities for Developing Nations

Charis, Gratitude; Danha, Gwiranai; Muzenda, Edison

doi:10.31025/2611-4135/2019.13819

Cited by 7 publications

(7 citation statements)

References 43 publications

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“…Several previous studies have identified GIS as a suitable and versatile tool to perform the spatial analysis needed for the location of a biomass power plant and of the related biomass supply chain [23,39,40]. Through this technology, it is indeed possible to capture, store, analyze, display and manipulate spatial data [41], also integrating them with non-spatial quantitative or qualitative data [23]. Considering this, much attention has been paid to such tools by scientific research in the renewable energy sector, with a particular focus on energy from biomass.…”

Section: Recent Gis Applications In Spatial Allocation Of Biomass Powmentioning

confidence: 99%

“…Certainly, the degree of the sustainability of a given biomass plant depends on several factors, such as: a regular and consistent biomass availability, well-designed logistics of feedstock supply, and optimal use of the resources [18][19][20][21]. 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%

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

et al. 2020

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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.

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Section: Recent Gis Applications In Spatial Allocation Of Biomass Powmentioning

confidence: 99%

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

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“…According to Charis et al [48], problems of BSC and the management of urban solid waste share a "common denominator": both depend on the spatial distribution of supply points and variability in the quantity of resources. The authors pointed out that GISs are an important tool that can be used to capture the spatiotemporal dynamics of biomass and waste.…”

Section: Geographic Information Systems-gissmentioning

confidence: 99%

Tools for Optimization of Biomass-to-Energy Conversion Processes

et al. 2023

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Biomasses are renewable sources used in energy conversion processes to obtain diverse products through different technologies. The production chain, which involves delivery, logistics, pre-treatment, storage and conversion as general components, can be costly and uncertain due to inherent variability. Optimization methods are widely applied for modeling the biomass supply chain (BSC) for energy processes. In this qualitative review, the main aspects and global trends of using geographic information systems (GISs), linear programming (LP) and neural networks to optimize the BSC are presented. Modeling objectives and factors considered in studies published in the last 25 years are reviewed, enabling a broad overview of the BSC to support decisions at strategic, tactical and operational levels. Combined techniques have been used for different purposes: GISs for spatial analyses of biomass; neural networks for higher heating value (HHV) correlations; and linear programming and its variations for achieving objectives in general, such as costs and emissions reduction. This study reinforces the progress evidenced in the literature and envisions the increasing inclusion of socio-environmental criteria as a challenge in future modeling efforts.

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“…During the last decades, the use of Geographic Information Systems (GIS) for agriculture and forestry planning has gained interest for the vast panorama of possible applications [9][10][11]. The most interesting feature is combining spatial and non-spatial information to facilitate decision-making, for instance, in feedstock supply chains or FMP [12].…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Validation and Assessment of a GIS Approach Related to Precision Forest Harvesting in Central Italy

Stefanoni

Tocci

Latterini

et al. 2023

Forests

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There has been a growing awareness of the need for sustainable forest management among forest engineers during the last decades. The selection of the best harvesting system for logging operations plays a fundamental role in this effort. Nowadays, in the decision-making process, forest engineers rely on their own experience, and it is to be expected that their evaluation of the level of appropriateness may be biased. There may be a potential solution to this problem in the implementation of AHP (Analytic Hierarchy Process) in the GIS (Geographic Information System) environment. The application of AHP gives objective information and thus reduces the level of bias in deciding which logging harvest system is best to use. The aim of this study was to evaluate the reliability of a GIS-AHP approach applied to the development of the harvesting plan of a public forest estate in Central Italy. Three extraction methods were considered: forwarder, cable skidder, and all-terrain cable yarder. Thus, the GIS-AHP model was run by relying on the basic data attainable from the local forest management plan and then on detailed information provided by field data collected from 10 harvested blocks. Among these, in three blocks, the logging harvest method was changed from forwarder to cable skidder. Statistically significant differences were found between the suitability values obtained from the forest management plan and those retrieved from the field surveys for the forwarder and cable skidders but not for all-terrain cable yarders.

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A Review of the Application of Gis in Biomass and Solid Waste Supply Chain Optimization: Gaps and Opportunities for Developing Nations

Cited by 7 publications

References 43 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

Tools for Optimization of Biomass-to-Energy Conversion Processes

A Preliminary Validation and Assessment of a GIS Approach Related to Precision Forest Harvesting in Central Italy

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