Designing sustainable bioenergy from residual biomass: Site allocation criteria and energy/exergy performance indicators

Famoso, Fabio; Prestipino, Mauro; Brusca, S.; Galvagno, Antonio

doi:10.1016/j.apenergy.2020.115315

Cited by 32 publications

(14 citation statements)

References 46 publications

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“…While removal of moisture and drying residual biomass is widely accepted to be used for regional sustainable energy systems [13], the technology of MW pretreatment can be applied for a variety of biomass types [14][15][16] and has advantages over conventional thermal preprocessing. It can provide faster and more uniform spatial heating of biomass with a faster thermal destruction of hemicelluloses and cellulose and thermochemical conversion of pretreated biomass [7,8].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Biomass Gasification/Combustion Characteristics by Microwave Pretreatment of Biomass Pellets

et al. 2021

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A wider use of the regional bioenergy resources for the development of environmentally friendly energy production providing microwave pretreatment of lignocellulosic biomass pellets (wood, straw, and peat) of different origin at a frequency of 2.45 GHz is promoted. A hypothesis is proposed and tested that microwave pretreatment of biomass pellets and blending of such pretreated pellets with raw pellets can be applied to enhance the thermochemical conversion of lignocellulosic biomass blends from different origin. The test results confirm that increased reactivity and heating value of pretreated biomass pellets enhances heat energy production and limits the formation of green house gases (GHG) emissions, thus advancing a more efficient usage of agricultural and forestry waste for energy production.

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Section: Introductionmentioning

confidence: 99%

Improvement of Biomass Gasification/Combustion Characteristics by Microwave Pretreatment of Biomass Pellets

et al. 2021

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“…As a result, they found out that the energy potential from residual biomass could be enough to attend the local demand there. Those cases, among others (like Portugal-Pereira et al (2015) in Brazil, Vergara et al (2020) in Colombia or Famoso et al (2020) in Italy), reveal a potential that should be explored more thoroughly, creating opportunities for diversification on the energy matrix and therefore a safer energy system in Brazil. The current agricultural production would cover around 20% of the local energy demand in the studied area.…”

Section: Discussionmentioning

confidence: 99%

“…A closer assessment in the municipalities, such as the one conducted by Kishita et al (2017) in Japan, analyzing the local demand, more accurate data on the local yield could bring a complete set of information to build the analysis. Also, in the next step, the quality of the local production and the possibilities of storage should be assessed, as presented in Famoso et al (2020). Even though this result already points to an interesting outcome, where the diversification of the energy matrix can move toward a sustainable path.…”

Section: Discussionmentioning

confidence: 99%

Biomass energy as a possibility for innovative agriculture initiatives

Ribeiro

Dalmolin

2020

Energ. Ecol. Environ.

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In searching for sustainable solutions for humans’ necessities, clean and safe energy possibilities have been pursued. The objective of this research is to develop a procedure that improves the integration of renewable technologies into local planning processes. The methodology should be suitable for different contexts. The objective of this paper is to evaluate the potential of energy production through agricultural waste, ensuring the sustainability and development of clean technologies, the ideal allocation of the energy production unit, and the costs involved in the enterprise. The research hypothesis is that the potential for sustainable use of biomass can be identified and evaluated, thus showing the way for an improved energy plan for Brazil. The study area is within the Doce River Basin in Brazil. The methods developed in the study could be relevant for municipalities to record their potentials for energy production and pursue investments and local arrangements, promoting sustainable biomass energy generation. The results show that with proper investment, the energy generation through biomass residues could be viable and pay itself in a short amount of time, moreover in a scenario where the agricultural area is increased, growing the power generation capacity of a biomass power plant. The current agricultural production would cover 20% of the local energy demand.

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“…Renewable technologies, such as solar energy [2], biomass energy conversion systems [3][4][5], and especially wind power plants [6], are usually considered to be less efficient than traditional conversion systems because of the inherent random nature of the primary renewable source. This implies some difficulties to forecast energy production of such complex systems.…”

Section: Introductionmentioning

confidence: 99%

On the wake effect in wind farm power forecasting: a new data-driven approach

et al. 2020

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Wind power generation differs from other energy sources, such as thermal, solar or hydro, due to the inherent stochastic nature of wind. For this reason wind power forecasting, especially for wind farms, is a complex task that cannot be accurately solved with traditional statistical methods or needs large computational systems if physical models are used. Recently, the so-called learning approaches are considered a good compromise among the previous methods since they are able to integrate physical phenomena such as wake effects without presenting heavy computational loads. The present work deals with an innovative method to forecast wind power generation in a wind farm with a combination of GISbased methods, neural network approach and a wake physical model. This innovative method was tested with a wind farm located in Sicily (Italy), used as a case study. It consists of 30 identical wind turbines (850 kW each one), located at different heights, for an overall Power peak of 25 MW. The time series dataset consists of one year with a sampling time of 10 minutes considering wind speeds and wind directions. The output of this innovative model leaded to good results, especially for medium-term overall energy production forecast for the case study.

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Designing sustainable bioenergy from residual biomass: Site allocation criteria and energy/exergy performance indicators

Cited by 32 publications

References 46 publications

Improvement of Biomass Gasification/Combustion Characteristics by Microwave Pretreatment of Biomass Pellets

Improvement of Biomass Gasification/Combustion Characteristics by Microwave Pretreatment of Biomass Pellets

Biomass energy as a possibility for innovative agriculture initiatives

On the wake effect in wind farm power forecasting: a new data-driven approach

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