Techno-economic analysis for biomass supply chain: A state-of-the-art review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143852" target="_blank" >RIV/00216305:26210/21:PU143852 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S136403212030455X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S136403212030455X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rser.2020.110164" target="_blank" >10.1016/j.rser.2020.110164</a>
Alternative languages
Result language
angličtina
Original language name
Techno-economic analysis for biomass supply chain: A state-of-the-art review
Original language description
Given the increasing risk of climate change and depletion of non-renewable energy sources, countries around the world have been looking into energy profile diversification whereby biomass represents one of the most appealing alternatives for energy production feedstock. To attract interest and more investment from industry players into biomass-based industries, comprehensive techno-economic analysis has to be performed. In addition, various uncertainties related to supply chain such as biomass attainability, demand variation, and material price fluctuation, have to be considered in the evaluation to yield more accurate and reliable feasibility estimation. This review paper aims to: (i) provide an overview on the different types of methods or approaches used in the feasibility evaluation of biomass-based industries from the techno-economic point of view, and (ii) outline the supply chain uncertainties that should be incorporated into the evaluation model using a Malaysian case study to illustrate the impact of these uncertainties. Apart from that, some of the unquantifiable uncertainties and risks are critically reviewed in this paper. It was found that 78 % of the reviewed articles opted for mathematical modelling evaluation method with the majority leaning towards mathematical modelling with optimization (i.e., deterministic and stochastic optimization). Furthermore, only a minority had performed stochastic evaluation that incorporates biomass supply chain uncertainties. This review discussed six quantifiable uncertainties, include: (i) biomass availability, (ii) biomass quality, (iii) transportation cost, (iv) market demand, (v) fluctuation of pricing, and (vi) wages of workers.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategic Partnership for Environmental Technologies and Energy Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
ISSN
1364-0321
e-ISSN
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Volume of the periodical
135
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
„110164-1“-„110164-19“
UT code for WoS article
000592371500007
EID of the result in the Scopus database
2-s2.0-85089209356