Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning

Hiloidhari, Moonmoon; Baruah, D.C.; Singh, Anoop; Kataki, Sampriti; Medhi, Kristina; Kumari, Shilpi; Ramachandra, T. V.; Jenkins, Bryan M.; Thakur, Indu Shekhar

doi:10.1016/j.biortech.2017.03.079

Cited by 123 publications

(50 citation statements)

References 77 publications

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“…The resources like waste cooking oil or municipal solid waste that usually rely on per capita waste production and the population density cannot benefit from the remote sensing [1]. This study uses the statistical estimation for the resource potential and maps it on the GIS based maps which is a logically sound approach to take for such resources and has been reported [32]. The study projects the availability of a sustainable resource for biodiesel production alongside the heat-maps for the potential of the resource.…”

Section: Discussionmentioning

confidence: 99%

“…The study carried out the site suitability assessment based on the resource availability for the study area based on the GIS program to optimize the power plant location [30]. Various other studies have been carried out employing similar GIS based models to carry out the resource assessment for numerous resources such as biomass to bio-energy, solar energy and wind energy to name a few [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

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Techno-spatial assessment of waste cooking oil for biodiesel production in Pakistan

et al. 2020

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This study presents a take on employing the principles of waste valorization to solve the long-standing problem of finding sustainable resources for biodiesel production. The biodiesel production has always met with a competition with food security and land use. This has limited the scope of the technology to laboratory experiments only. This study aims to assess the geospatial availability of waste cooking oil in Pakistan to map its biodiesel production potential. Owing to the resource posing no land use or food security challenges, a resource assessment using geographical information systems was carried out. The waste cooking oil availability was estimated using the statistics on per capita edible oil consumption with a realistic consumption and collection factor applied to it. The available residual cooking oil was subjected to the transesterification with a rather conservative conversion to the biodiesel at 66.25% to keep the estimates realistic. The study results in heat maps of all the different regions and provinces of the country. The findings suggest that Punjab province is the highest potential province with 249,260 tonnes of biodiesel production annually. Karachi district is the highest potential district with a potential of 36,156 tonnes of biodiesel production in a year. The study paves ways for investment sector in the study area to identify highest potential regions to invest in. It also motivates the scientific community to step outside of experimental research on waste cooking oil's biodiesel production potential and perform resource assessments and techno-economic analyses on the technology for its widespread adoption.Graphic abstract PS-The callouts do not represent any geographical locations instead they represent the shade of the gradient they correspond to in terms of red being the gradient shade for the problems and the green being the gradient shade for the remedial contributions made by the study. The use of the map of the study area is because of the contextual important of the map in a resource and potential assessment that is geospatial in nature.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Techno-spatial assessment of waste cooking oil for biodiesel production in Pakistan

et al. 2020

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“…Climate, cropping pattern, farming practices, and policy change with time, and these changes would alter the spatial and temporal heterogeneity of crop residue production. A comprehensive assessment of spatial characteristics and temporal variations of crop residue provision is vital not only for the resource evaluation but also for the strategical and tactical planning of bioenergy facility operations (Hiloidhari et al, ; Yang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Their residues are considered to be a reliable feedstock for bioenergy. The design of the biomass supply chain depends on a comprehensive understanding of spatial characteristics of feedstock provision (Hiloidhari et al, 2017). Previous studies presented state/provinciallevel and national-level assessments of biomass availability (Ferreira-Leitao et al, 2010;Kim & Dale, 2004;Li et al, 2012;Matsumura, Minowa, & Yamamoto, 2005;Wang et al, 2013), county-level spatial distribution and usage of biomass in certain states (Ćosić, Stanić, & Duić, 2011;Yang et al, 2015), as well as the economic potential for biomass supply from crop residues (Chen, 2016).…”

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A spatiotemporal assessment of field residues of rice, maize, and wheat at provincial and county levels in China

Lin

Shen

et al. 2019

GCB Bioenergy

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China has a huge resource potential for biomass‐based renewable energy development, but the resources of field residues are still not effectively used. Rice, maize, and wheat made up 89% of staple crop production in China in 2009. A comprehensive assessment of field residues of these three crops is necessary for the development of biomass‐based industries. This research was based on multiyear county‐level data of crop production, area and yield, as well as the crop phenology information from agrometeorological stations. Spatial and temporal analyses were conducted to quantify the spatial patterns, seasonal variations, and temporal trends of the three major field residues. The mean amount of field residue of rice, maize, and wheat was 470.8 Mt/year from 2002 to 2009. Rice residue topped the field residues at 188.5 Mt/year, followed by maize (152.6 Mt/year) and wheat (129.8 Mt/year). The resource supply of field residues varied temporally throughout the season, where peak months are May, June, September, and October. The resources of all three field residues increased from 2002 to 2009, topped by maize residues at a rate of 10.0 Mt/year. Spatially, high production counties had the fast growth rate and a strong positive spatial autocorrelation. The results showed that the intersection area of East and South Central regions has a spatially concentrated residue density and a stable supply for 5 months. The region can be considered as a suitable region for bioenergy development. A better understanding of spatial and temporal distribution of crop residues could facilitate strategic and tactical bioenergy planning.

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“…Agricultural biomass residues are spread over wide‐ranging territories. The Geographic Information System (GIS) is a powerful tool for assisting decision makers regarding agroenergy systems once the spatial variables are considered …”

Section: Introductionmentioning

confidence: 99%

Assessment of agricultural biomass residues to replace fossil fuel and hydroelectric power energy: A spatial approach

Romero

Berni

Figueiredo

et al. 2019

Energy Science & Engineering

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Despite the recent discoveries of considerable fossil fuel reserves, Brazil is one of the only great economic and industrial powers with very high amounts of renewable energy in its electricity matrix. Approximately 79.3% of the electric energy supply comes from renewable resources, of which hydroelectric power represents 70.6%. The two primary concerns regarding hydroelectricity are the damage caused to the environment by the construction of dams and the uncertainty of the supply in cases of long drought seasons. This article presents an analysis on the availability and energy exploitation of sugarcane straw and forest residues derived from eucalyptus for decentralized generation using a Geographic Information System–based model. The potential bioelectricity and bioethanol production from sugarcane and eucalyptus biomass in the Administrative Region of Campinas (ARC) is higher than the demand in this region. The results provide guidelines for designing alternatives to the intended Nationally Determined Contributions in Brazil within the scope of the ARC, and they can be used to provide energy empowerment, electric matrix diversification, and new policies that address the residue availability and demand.

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Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning

Cited by 123 publications

References 77 publications

Techno-spatial assessment of waste cooking oil for biodiesel production in Pakistan

Techno-spatial assessment of waste cooking oil for biodiesel production in Pakistan

A spatiotemporal assessment of field residues of rice, maize, and wheat at provincial and county levels in China

Assessment of agricultural biomass residues to replace fossil fuel and hydroelectric power energy: A spatial approach

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