Agroforest woody residual biomass-to-energy supply chain analysis: Feasible and sustainable renewable resource exploitation for an alternative to fossil fuels

Nunes, Leonel J. R.; Casau, Margarida; Dias, Marta Ferreira; Matias, J.C.O.; Teixeira, Leonor C.

doi:10.1016/j.rineng.2023.101010

Cited by 25 publications

(9 citation statements)

References 29 publications

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“…In the context of residual biomass supply chain, Key Performance Indicator (KPI) refers to quantifiable metrics used to assess the efficiency of the biomass supply chain at various points in the industry [32,33]. With numerous levels of decision-making, the supply chains for agroforestry residual biomass involved in the utilization of biomass, whether for the provision of raw materials or the recovery of energy, can be complicated [34].…”

Section: Kpi Definition According To Biomass Supply Chainmentioning

confidence: 99%

“…It's important to evaluate how profitable and cost-effective it is to produce, collect, and convert biomass. Additionally, encouraging policies like incentives, subsidies, and laws that support biomass consumption can significantly contribute to removing obstacles and promoting the growth of this industry [33,77].…”

Section: Technical and Scientific Barriers Associated With Biomass Su...mentioning

confidence: 99%

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Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

Chidozie,

Ramos,

Ferreira

et al. 2023

Sustainability

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Residual biomass is a reliable source of energy and hence requires effective supply chain management for optimal performance and sustainability. While there are various studies on this recent trend, a comprehensive review of the literature on simulation-based modeling of the supply chain for residual agroforestry biomass is lacking. This study aims to present a systematic review of relevant literature surrounding residual agroforestry supply chain simulation insights and directions. The systematic literature review was carried out in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 standards and intends to answer the research questions based on (1) Key Performance Indicators (KPI); (2) Simulation techniques; and (3) Efficient supply chain. A search of the Science Direct, SCOPUS, and UA EBSCO databases was conducted using the appropriate keywords combination. The databases were searched, and a total of 1617 papers were appraised automatically. Subsequently, the titles, keywords, and abstracts of 172 papers were examined. Following the full-text analysis, 20 papers in addition to 27 articles taken from other sources matched the requirements for study inclusion. The publications accessed reveals that simulation-based techniques will optimize the supply chain for residual biomass when applied.

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Section: Kpi Definition According To Biomass Supply Chainmentioning

confidence: 99%

Section: Technical and Scientific Barriers Associated With Biomass Su...mentioning

confidence: 99%

Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

Chidozie,

Ramos,

Ferreira

et al. 2023

Sustainability

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show abstract

“…It supports circular bioeconomies (Girard, 2022;Gregg et al, 2020) and stands out as one of the most promising alternatives to replace fossil fuels (Cherubini, 2010;Kumar, Adamopoulos, Jones, & Amiandamhen, 2021). The energy generation from biomass is part of an intricate production chain (Lo et al, 2021;Nunes, Casau, Dias, Matias, & Teixeira, 2023) that can generate numerous socioeconomic benefits for local communities (Esmaeili & Rafei, 2021;Situmorang, Zhao, Yoshida, Abudula, & Guan, 2020). In this context, it becomes imperative to study the implementation of biomass power plants and their local effects, as it bears significant implications for the economic development of municipalities (Awosusi et al, 2022;Gyamfi, Ozturk, Bein, & Bekun, 2021;Shahbaz, Balsalobre-Lorente, & Sinha, 2019;Umar, Ji, Kirikkaleli, & Alola, 2021).…”

Section: Introductionmentioning

confidence: 99%

The impact of biomass power plants on Brazilian workers’ income: a synthetic difference-in-differences approach

Uhr,

Cordeiro,

Uhr

2024

ECON

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PurposeThis research assesses the economic impact of biomass plant installations on Brazilian municipalities, focusing on (1) labor income, (2) sectoral labor income and (3) income inequality.Design/methodology/approachMunicipal data from the Annual Social Information Report, the National Electric Energy Agency and the National Institute of Meteorology spanning 2002 to 2020 are utilized. The Synthetic Difference-in-Differences methodology is employed for empirical analysis, and robustness checks are conducted using the Doubly Robust Difference in Differences and the Double/Debiased Machine Learning methods.FindingsThe findings reveal that biomass plant installations lead to an average annual increase of approximately R$688.00 in formal workers' wages and reduce formal income inequality, with notable benefits observed for workers in the industry and agriculture sectors. The robustness tests support and validate the primary results, highlighting the positive implications of renewable energy integration on economic development in the studied municipalities.Originality/valueThis article represents a groundbreaking contribution to the existing literature as it pioneers the identification of the impact of biomass plant installation on formal employment income and local economic development in Brazil. To the best of our knowledge, this study is the first to uncover such effects. Moreover, the authors comprehensively examine sectoral implications and formal income inequality.

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“…Globally, biomass is a promising source of bioenergy and has attracted increasing attention [ [1] , [2] , [3] ]. Agricultural waste is primary biomass with poor-quality solid fuel characteristics [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Kinetic mechanism of wheat straw pellets combustion process with a thermogravimetric analyser

Nath,

Chen,

Bowtell

et al. 2023

Heliyon

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Agroforest woody residual biomass-to-energy supply chain analysis: Feasible and sustainable renewable resource exploitation for an alternative to fossil fuels

Cited by 25 publications

References 29 publications

Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

The impact of biomass power plants on Brazilian workers’ income: a synthetic difference-in-differences approach

Kinetic mechanism of wheat straw pellets combustion process with a thermogravimetric analyser

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