Optimizing forest biomass exploitation for energy supply at a regional level

Freppaz, Davide; Minciardi, R.; Robba, Michela; Rovatti, Mauro; Sacile, Roberto; Taramasso, Angela Celeste

doi:10.1016/s0961-9534(03)00079-5

Cited by 186 publications

(91 citation statements)

References 15 publications

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“…In Freppaz et al (2004) the type of biomass also played a role in how the demand was satisfied. For plants with lower thermal demands (less than 13 MW), the capacity of each plant was satisfied through the use of biomass being delivered from sites where harvesting was cheaper.…”

Section: Spatial Distributionmentioning

confidence: 99%

“…For thermal demands greater than 13 MW, the biomass obtained both from harvesting and from waste of local production activities was not able to feed the overall demand of the plants. In this case, the model minimises the supply costs by allowing transport from further distances in order to provide short wood from clearfellings, while in some cases it reduces the haulage distances to some power plants including a higher volume of short wood from thinnings (Freppaz et al 2004). …”

Section: Spatial Distributionmentioning

confidence: 99%

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Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

Sosa

Acuña

McDonnell

et al. 2015

Energy

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Publication information Energy, 86 : 354-368Publisher Elsevier Item record/more information http://hdl.handle.net/10197/7007 Publisher's statementThis is the author's version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy (VOL 86, ISSUE 2015, (2015  Low wood moisture content increases supply cost due to longer transport distances and/or inclusion of more costly forest products. Optimal truck loads can be achieved by controlling wood moisture content.

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Section: Spatial Distributionmentioning

confidence: 99%

Section: Spatial Distributionmentioning

confidence: 99%

Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

Sosa

Acuña

McDonnell

et al. 2015

Energy

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“…Spinelli et al (2012) presents the gross calorific value of vineyard pruning residues of 18.7 MJ/kg, Muzikant et al (2010) 16.3 MJ/kg andFernández-Puratich et al (2015) from 16.5 MJ/kg up to 18.7 MJ/kg. Freppaz et al (2004) and McCormick and KÄ-berger (2007) dealt with the issue of energy use in other alternative energy sources. From the results of their work it is clear that the net calorific value of wood from fast-growing bushes is around 18.5 MJ/kg and in plant biomass it is at the level of 16 MJ/kg.…”

Section: Resultsmentioning

confidence: 99%

Review of energy potential of the wood biomass of orchards and vineyards in the Czech Republic

Burg¹,

Mašán²,

Martin³

et al. 2017

Res. Agric. Eng.

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Burg P., Mašán V., Dušek M., Zemánek P., Rutkowski K. (2017): Review of energy potential of the wood biomass of orchards and vineyards in the Czech Republic. Res. Agr. Eng., 63 (Special Issue): S1-S7.The most important sources of biomass energy are currently coming from agricultural activity. A sizeable portion in production areas is waste wood after the winter cut of orchards and vineyards, which cover areas exceeding 30,000 ha in the Czech Republic. The most important are species like apples, peaches, apricots, plums, sweet cherries, sour cherries and grapevines. Average production of wood mass for individual species of fruit trees and grapevines ranges from 1,540 kg/ha up to 6,762 kg/ha, i.e. 1.5 t/ha to 6.8 t/ha. The calorific value for these species ranges from 14.70 to 16.39 MJ/kg, with moisture between 6 and 8%. The results show that the total measured energy potential of the fruit species-cultivated areas is 1,469.7 TJ for the whole Czech Republic.

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“…Shabani and Sowlati [18] presented the supply chain configuration of a typical forest biomass power plant and developed a dynamic optimization model to maximize the overall value of the supply chain. Freppaz et al [19] developed a decision support system for forest biomass exploitation for energy production purposes. It consists in integrating geographic information system (GIS) based techniques with mathematical programming methods to yield a comprehensive system that allows the formalisation of the problem, the decision taking, and the evaluation of effects.…”

Section: Introductionmentioning

confidence: 99%

Energy modelling and decision support algorithm for the exploitation of biomass resources in industrial districts

Zaccone¹,

Sacile²,

Fossa³

2017

IJHT

Self Cite

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European energy policies drive to energy efficiency and renewable energies. This global view, converted into national regulations, finds difficulties with energy market, technology costs, and mutable economic conditions making difficult the evaluation of the profitability of these projects. Based upon the above considerations, a Decision Support System for the evaluation of the sustainability of Biomass Combined Heat and Power (BCHP) Plants is here presented. The model provides a technical-economic quantification of a CHP Plant supplied by biomass, with Rankine thermal cycle and District Heating (DH) network serving an industrial district. The aim of the model is to find the optimal Plant configuration in terms of steam turbine choice and the consequent thermal cycle parameters by varying decisional variables describing the type of industrial district, its yearly thermal loads (heating and cooling), the requested carrier fluid, the pipeline distances from the Power Plant. Other parameters, as the feed-in-premium tariff for the electrical energy and natural gas integration, have been considered. Starting by variable and fixed costs and revenues, the Internal Rate of Return of the project has been calculated. An optimal Plant configuration has been defined, and a sensitivity analysis have been performed. The model has been applied to a case related to the city of Quattordio in northern Italy.

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Optimizing forest biomass exploitation for energy supply at a regional level

Cited by 186 publications

References 15 publications

Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

Review of energy potential of the wood biomass of orchards and vineyards in the Czech Republic

Energy modelling and decision support algorithm for the exploitation of biomass resources in industrial districts

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