Data-driven modelling of bioethanol fuel production from rambutan fruit waste

M. Imteaz, A. Hossain, A. Ahsan
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引用次数: 2

Abstract

Due to lack of confidence on potential yield and subsequent net benefit, wide-scale implementations of bioethanol from food/fruit waste are not accelerating. With the aim of enhancing stakeholders’ confidence, this paper presents a simple mathematical model formulation, which can estimate potential bioethanol generation capacity from rambutan waste under different input conditions. Mathematical formulation was derived based on three contributing factors such as pH, temperature and fermentation period. The factors were derived based on an earlier experimental study on production of bioethanol from rambutan waste. Results from the derived mathematical model were compared with the experimental measurements from earlier study. It is found that the proposed model is capable to accurately estimate potential bioethanol productions from rambutan waste. Model calculated results are having a coefficient of correlation of 0.98 with the measured data. Standard errors of the model's estimations are also quite low, having RMSE = 0.17, MAE = 0.14 and RAE = 0.02. For a wider industrial generation, a mathematical framework is proposed to calculate benefit-cost ratio of production costs against yield value considering the time value of the money. Such mathematical framework will assist decision makers on deciding optimum input parameters through optimised energy consumption.
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利用红毛丹水果废料生产生物乙醇燃料的数据驱动模型
由于对潜在产量和随后的净效益缺乏信心,从食物/水果废物中大规模实施生物乙醇并没有加速。为了增强利益相关者的信心,本文提出了一个简单的数学模型公式,可以估计不同投入条件下红毛丹废弃物产生生物乙醇的潜在能力。根据pH值、温度和发酵时间三个影响因素,推导出了发酵过程的数学公式。这些因素是根据早期从红毛丹废料中生产生物乙醇的实验研究得出的。推导的数学模型的结果与早期研究的实验测量结果进行了比较。结果表明,该模型能够准确地估计红毛丹废弃物的潜在生物乙醇产量。模型计算结果与实测数据的相关系数为0.98。模型估计的标准误差也很低,RMSE = 0.17, MAE = 0.14, RAE = 0.02。对于更广泛的工业代,提出了一个数学框架来计算生产成本的收益-成本比,考虑到货币的时间价值。这种数学框架将帮助决策者通过优化能源消耗来确定最优的输入参数。
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来源期刊
CiteScore
1.70
自引率
14.30%
发文量
26
期刊介绍: Waste and Resource Management publishes original research and practice papers on all civil engineering and construction related aspects of the resource management cycle, from the minimization of waste, through the re-use and recycling, to the management and disposal of residual wastes. Associated legislation, standards, socio-economic considerations and links with sustainable consumption and production are included. The range of subjects covered encompasses, but is not restricted to, strategies for reducing construction waste through better design, improved recovery and re-use, more efficient resource management, the performance of materials recovered from wastes, and, the procurement, planning, design, construction, operation and logistics of waste and resource management facilities.
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