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Optimizing the Winery Operational Scheduling under the Requirement of CO2 Emission Reduction: A Case Study of Hualien Tourism Winery

Shiang Chen and Jung-Hua Wu
Department of Resources Engineering, National Cheng Kung University, Tainan City, Taiwan

Abstract—In this study we use the methods of linear programming model and carbon tax to explore the optimal production of winemaking industry. During the winemaking processes, we must use electricity, fuel oil, and steam, as major energy. The final productions are wine product, wastewater, lees, and CO2, etc. Different process modes will produce different energy consumption, thus providing a possibility in CO2 reduction. In the text first we establish the linear programming model, and then under the goal of profit maximization, we explore the carbon tax and the interrelationship caused by changes in energy consumption and the CO2 reduction. The results show that under different carbon tax levels and operational changes in production schedules that will change the usage of energy and thus reduce the total CO2 emissions [1]. Carbon tax can trigger the effect of CO2 reduction. When carbon reduction cost is equal to the taxable cost, the tax effect of CO2 reduction will result. It shows that profit and loss balance point is the best carbon tax price [2], finally we also analyze the CO2 inventory policy of winery during the period 2006- 2016, the main sources of greenhouse gas emissions were fuel oil, and wastewater.

Index Terms—wine- making process, linear programming, carbon tax

Cite: Shiang Chen and Jung-Hua Wu, "Optimizing the Winery Operational Scheduling under the Requirement of CO2 Emission Reduction: A Case Study of Hualien Tourism Winery," Journal of Industrial and Intelligent Information, Vol. 7, No. 1, pp. 18-23, June 2019. doi: 10.18178/jiii.7.1.18-23

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