Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data

Estornell, Javier; Velázquez‐Martí, Borja; Cortés, Isabel López; Salazar, Domingo M.; Fernández-Sarría, Alfonso

doi:10.1016/j.biombioe.2015.07.015

Cited by 29 publications

(33 citation statements)

References 24 publications

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“…On the other hand, previous studies, such as Velazquez et al . or Estornell et al ., used polynomial equations; however, the proposed model with normalized variables gave better predictions. It is important to point out that the model had a good fit in orchards of three different cities.…”

Section: Resultsmentioning

confidence: 66%

Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

Velázquez‐Martí

Gaibor‐Chávez

Pérez

2016

Biofuels Bioprod Bioref

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In this work, a new approach to evaluating the amount of residual biomass obtained from orange trees based on normalization of variables is proposed for Bolivar province, Ecuador. So far, several models to quantify the amount of residues obtained from pruning have been proposed from dendrometric and cultivation variables, such as height, crown diameter, stem diameter, area per plant, yield, and age. However, the high dispersion of their values, caused by uncontrolled conditions, gave models with a low-medium coeffi cient of determination. The aim of this work has been to develop several models in order to predict wet available biomass using dimensionless dendrometric parameters from height, diameter and height of the crown, and the stem height. They improved the coeffi cients of determination to 0.94 for the global mathematical model. The drying process of pruned materials has also been analyzed. Residual biomass with 50% initial moisture content was dried outdoors on cement and agricultural soil until it reached constant moisture content. Models used to describe the drying process of agricultural products were employed to fi t the observed data of the drying process of orange tree chips. Among the tested models, the Midili and Page models were those that best fi tted the observed data in the drying process. The information offered by these equations is of vital importance because they help estimate the amount of biomass that is generated in a given area, and the implementation geographic information system (GIS) maps. In addition, logistic algorithms can be applied.

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Section: Resultsmentioning

confidence: 66%

Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

Velázquez‐Martí

Gaibor‐Chávez

Pérez

2016

Biofuels Bioprod Bioref

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“…Additionally, the components of this system under certain technical and other requirements and constraints were defined together with the determination of the information to be managed by the system. The olive tree-pruning biomass supply chain was accurately estimated and optimized on supply-chain development and modeling frameworks [39].…”

Section: Operational Planningmentioning

confidence: 99%

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

et al. 2019

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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.

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“…The annual net density of biomass D can be assumed to be a random variable with a normal distribution [44][45][46]. This density ranges from 9.26 to 25 kg dry biomass tree −1 [7,16,[44][45][46][47][48][49].…”

Section: Power Model Of a Bfgementioning

confidence: 99%

“…This density ranges from 9.26 to 25 kg dry biomass tree −1 [7,16,[44][45][46][47][48][49]. For example, according to one very detailed study [16], olive tree varieties can be classified in two groups for annual pruning: high residual biomass productivity (average yield 10.5 kg tree −1 ) and low productivity (average yield 3.5 kg tree −1 ).…”

Section: Power Model Of a Bfgementioning

confidence: 99%

Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

Ruíz-Rodríguez

Hernández

2017

Energies

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Feeding biomass-fueled gas engines (BFGEs) with olive tree pruning residues offers new opportunities to decrease fossil fuel use in road vehicles and electricity generation. BFGEs, coupled to radial distribution systems (RDSs), provide renewable energy and power that can feed electric vehicle (EV) charging stations. However, the combined impact of BFGEs and EVs on RDSs must be assessed to assure the technical constraint fulfilment. Because of the stochastic nature of source/load, it was decided that a probabilistic approach was the most viable option for this assessment. Consequently, this research developed an analytical technique to evaluate the technical constraint fulfilment in RDSs with this combined interaction. The proposed analytical technique (PAT) involved the calculation of cumulants and the linearization of load-flow equations, along with the application of the cumulant method, and Cornish-Fisher expansion. The uncertainties related to biomass stock and its heating value (HV) were important factors that were assessed for the first time. Application of the PAT in a Spanish RDS with BFGEs and EVs confirmed the feasibility of the proposal and its additional benefits. Specifically, BFGEs were found to clearly contribute to the voltage constraint fulfilment. The computational cost of the PAT was lower than that associated with Monte-Carlo simulations (MCSs).

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Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data

Cited by 29 publications

References 24 publications

Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

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

Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

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