Recovery and use of olive stones: Commodity, environmental and economic assessment

Pattara, Claudio; Cappelletti, Giulio Mario; Cichelli, Angelo

doi:10.1016/j.rser.2010.01.018

Cited by 73 publications

(41 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, in the long-term perspective, a wider range of sustainable feedstock such as agricultural residues, upgraded solid bioenergy carriers with high energy density and industrial by-products will need to be exploited. The olive oil industry produces a very promising biomass resource, the solid olive husk (OH) [4,5]. According to ISO 14961-1:2010 [6] olive husk is classified as a chemically untreated fruit residue, under class 3.2.1.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo parametric modeling for predicting biomass calorific value

Christoforou

Fokaides

Kyriakides

2014

J Therm Anal Calorim

View full text Add to dashboard Cite

Due to the nonlinear relationship between the calorific value and the elemental concentration of biomass, methods such as linear regression, widely used in the literature to model this relationship, produce models that fail to provide well-grounded results. In this study, a novel approach, based on Monte Carlo parametric modeling, for calculating the calorific value of biomass from measurements provided by elemental analysis, is presented. Olive husk, a biomass source widely used in the Mediterranean basin, was the subject under investigation. A comprehensive analysis of the thermal properties of olive husk was conducted. The elemental analysis, as well as the calorific value, the moisture content the sampling and the preparation of the examined biomass were performed using the appropriate CEN standards and procedures. Based on the Monte Carlo parametric modeling, the parameters of an exponential model linking the elemental analysis and the calorific value of olive husk were estimated. This study is anticipated to provide further insight to the discussion on models for predicting the calorific value of biomass, by introducing a novel mathematical approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Monte Carlo parametric modeling for predicting biomass calorific value

Christoforou

Fokaides

Kyriakides

2014

J Therm Anal Calorim

View full text Add to dashboard Cite

show abstract

“…During the processing of olive oil, its by-product, i.e. olive pits, can be used as an energy source in domestic boilers or in large industrial plants for cogeneration (Pattara et al 2010). On the other hand, the olive pit (Robles Fernán-dez et al 2009) is a competitor to pellets.…”

Section: Agricultural Residues (Annual Crops)mentioning

confidence: 99%

Biomass Pellet Technology: A Green Approach for Sustainable Development

Malik

Pirzadah

Islam

et al. 2015

Agricultural Biomass Based Potential Materials

View full text Add to dashboard Cite

The supply of sustainable or green energy is the main challenge that mankind will face over the coming decades, especially because of the need to address climatic changes. Biomass being abundantly available in nature can make a substantial contribution to cater future energy demands in a sustainable way. Currently, it is the largest universal contributor of green energy and has significant potential to expand in the production of electricity, heat and fuels. However, handling as well as direct combustion of biomass is restrained due to peculiar properties of this kind of fuel. As raw biomass possesses low density (30-50 kg/m 3 ) and high moisture content that limits its usage for energy purposes and it needs to be densified prior to its use. The compact and densified biomass possess a high magnitude of density as well as low moisture content which in turn helps to dwindle technical limitations associated with storage, handling and transportation. One immediate solution is the pelletisation of raw biomass that enhances its energy efficiency and enables the competition of biomass with other types of fuels. Besides, biomass pellet technology has gained a rapid momentum in many European countries. The future of the biomass pellet industry is greatly influenced by various environmental, economic, political as well as social aspects that create a multiplex relation among suppliers, producers and consumers. Therefore, the main aim of this chapter is to develop a comprehensive review of biomass processing that involves pellet production technology, energy efficiency of biomass pellet, current status, opportunities and challenges for the development of biomass pellet market.

show abstract

“…At the same time, the energy needs can be met from biomass obtained from the olives. For example, Pattara et al (2010) in their study evaluated the commodity, environmental, and economic aspects linked to different techniques for the pit recovery from olive pulp and olive pomace. These techniques have been demonstrated both at the level of production (increased income for olive extraction plants) and at the level of environmental sustainability (use of renewable fuels).…”

Section: Introductionmentioning

confidence: 99%

Identification of olive cultivars using image processing techniques

Beyaz¹,

Öztürk²

2016

Turk J Agric For

View full text Add to dashboard Cite

As a country in an olive production zone, olive (Olea europaea L.) production is of great economic importance for Turkey. Turkey has 88 domestic and 28 foreign cultivars of olive, all of which are located in the Kemalpaşa Production and Research Garden (Olive Gene Bank) at the Olive Research Station in İzmir (38°25′34.7628″N, 27°25′22.9872″E). The aim of this study was the identification of olive cultivars using image processing techniques. For this aim, images of olives, taken at 2896 × 1944 pixel and 300 dpi resolution, were captured using a DSLR camera, and evaluations of pixels were used for considering the pixel distribution and dimension measurements. For this aim, MATLAB v2012 and Image j software were used. In the light of the obtained data, analysis of variance and Duncan's test were used to characterize the olive cultivars. As a result, all observed olive cultivars were identified at P < 0.05 significance level. Sarı ulak, Gemlik, Edincik su, Memecik, Eşek zeytini, Ayvalık, Kilis yağlık, Uslu, Çilli, and Domat olive cultivars were identified utilizing the validation process employing image processing and analysis techniques. Only the Erkence cultivar was not identified. Moreover, different classification techniques were applied to the olive stone color value data by the help of SPSS v22 and Clementine v12, which is a data mining software package from SPSS. In addition to the first results the Erkence cultivar was identified 69% with artificial neural networks.

show abstract

Recovery and use of olive stones: Commodity, environmental and economic assessment

Cited by 73 publications

References 31 publications

Monte Carlo parametric modeling for predicting biomass calorific value

Monte Carlo parametric modeling for predicting biomass calorific value

Biomass Pellet Technology: A Green Approach for Sustainable Development

Identification of olive cultivars using image processing techniques

Contact Info

Product

Resources

About