4.5 Article

Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step Toward Sustainability

期刊

ENERGIES
卷 14, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/en14010215

关键词

renewable energy; sustainable smart production system; flexible production rate; carbon emission

资金

  1. Yonsei University Research Fund [2019-12-0016]

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This study focuses on the impact of renewable energy on smart production systems, aiming to build a sustainable production model by maximizing profit through a mathematical model while considering technological and environmental issues. The analytical solution of the model demonstrates greater profitability compared to existing methods, highlighting the significant effect of renewable energy. Sensitivity analysis and graphical representation provide recommendations for industry by simulating the model in different scenarios.
Renewable energy and environmental issues are receiving considerable attention worldwide along with the technological development of production system for reducing global warming. Due to the use of smart technologies, the rate of carbon emission and energy utilization have become very high and are directly related to different industries. This study focuses on the effect of renewable energy on the advancement of smart production with a flexible production rate as well as the reduction of carbon emission to build a sustainable smart production system. A mathematical model is developed to maximize the profit of the smart production system for economic development while considering technological and environmental issues. The model is solved analytically, and we obtain closed and quasi-closed form solutions. A numerical experiment is performed, and a comparison with previous studies indicates that our method achieves more profit than existing ones. Additionally, we highlight the major effect of renewable energy. Different graphical representations of the decision variables prove the convergence of the model. A sensitivity analysis and graphical representation are presented in this paper, and some recommendations for industry are provided by simulating this model in different scenarios.

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