Optimisation of logistic model using geographic information systems : a case study of biomass-based combined heat & power generation in China

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Zhang, Jixiang and Zhang, Xiaolei and Rentizelas, Athanasios and Dong, Changqing and Li, Jun (2022) Optimisation of logistic model using geographic information systems : a case study of biomass-based combined heat & power generation in China. Applications in Energy and Combustion Science, 10. 100060. ISSN 2666-352X (https://doi.org/10.1016/j.jaecs.2022.100060)

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Abstract

Biofuel large-scale application was constrained due to cost control. In order to reduce biofuel production cost and increase profitability, long-term strategy (strategic) and medium-term strategy (tactical) combined logistic model were assessed in this study. Geographic information system has been integrated into logistic model to minimize the effect of uncertainty on logistic modelling accuracy, with aims of transferring uncertainty problem to be certain. Combined heat and power generation plant as a case study present in logistic model, which provide a method in plant location and capacity selection criteria; logistic model design; and interaction between logistic model and local conditions. The logistic plan with compression as a pre-treatment technology has the optimal profitability performance, their properties affect the selection of the transport route, especially optimal for a lower availability of agricultural residues. With increased availability, torrefaction turns to more efficiency biomass pre-treatment technology due to storage cost significant reduction. With geographic information system transportation route assistance, logistic model transportation cost and CO2 emission has a 0.02% and 0.01% reduction.

ORCID iDs

Zhang, Jixiang, Zhang, Xiaolei ORCID logoORCID: https://orcid.org/0000-0001-9415-3136, Rentizelas, Athanasios, Dong, Changqing and Li, Jun ORCID logoORCID: https://orcid.org/0000-0002-7685-8543;
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