Mathematical modeling of production and biorefinery of energy crops

Lijun Wang, Samuel A. Agyemang, Hossein Amini and Abolghasem Shahbazi

Renewable and Sustainable Energy Reviews, 2015, vol. 43, issue C, 530-544

Abstract: Mathematical models have been widely used to simulate all aspects of bioenergy production systems including the growth kinetics of energy crops, conversion processes, production economics, supply logistics and environmental impacts. There is limited commercial experience to produce and process energy crops at a large scale around the world. Those models can provide powerful tools to design a bioenergy system and evaluate its technical feasibility, economics and environmental impacts. A crop growth model can be used to estimate the yields of energy crops in a region under different growth conditions. A geographical information system (GIS) model can be used to maximize the energy production of energy crops by indentifying suitable land to grow them based on their specific characteristics and the current use of the land. A combination of process models and reaction kinetics provides advanced computational tools for the design and optimization of various biomass conversion processes. The biomass supply chain consists of multiple harvesting, storage, pre-processing and transport options. Mathematical models have been developed to analyze and optimize complex biomass supply systems. A life cycle assessment (LCA) model can be used to compare the environmental impacts of different biomass production and conversion technologies. Various mathematical models applied to bioenergy systems were reviewed. The challenges in mathematical modeling of bioenergy systems which include the difficulty in generalizing a bioenergy system, the lack of physical and chemical properties of various biomass, the complexity of multi-scale processes and the validation of the models were then discussed.

Keywords: Crop growth kinetics; Biorefinery; Mathematical modeling; Computational fluid dynamics; Life cycle assessment; Geographical information system; Biomass supply logistics (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032114009393
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:43:y:2015:i:c:p:530-544

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2014.11.008

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().