Life Cycle Assessment and Model Optimization for Sustainable Energy Cross-Border E-Commerce

Hongli Liu; Ruiling Cui

doi:10.4108/ew.5493

Authors

Hongli Liu Xi'an Traffic Engineering Institute
Ruiling Cui Xi'an Traffic Engineering Institute

DOI:

https://doi.org/10.4108/ew.5493

Keywords:

sustainability, E-commerce, life cycle assessment, energy consumption

Abstract

INTRODUCTION: In an in-depth study of the application of sustainable energy in cross-border e-commerce, a comprehensive assessment and model optimization of its life cycle are conducted to promote the practical application of sustainable development in e-commerce. With the increasing global concern for renewable energy and environmental protection, e-commerce, as an international business model, has attracted much attention in terms of the environmental and social impacts of its sustainability.

OBJECTIVES: The aim is to provide scientific assessment methods and effective model optimization strategies to promote the feasibility and sustainability of cross-border e-commerce for sustainable energy.

METHODS: A comprehensive life cycle assessment (LCA) model was constructed using the system life cycle assessment (SLCA) methodology by collecting data from various aspects of sustainable energy cross-border e-commerce. The model considers the entire life cycle process from energy production, logistics, transportation, and product manufacturing to final consumption and integrates various factors such as resource utilization, environmental emissions, and social responsibility. Based on the assessment, a series of model optimization strategies are proposed, including suggestions for improving supply chain efficiency, promoting green energy applications, and strengthening social responsibility.

RESULTS: This study achieved significant life cycle assessment and model optimization results. In terms of energy use, promoting the application of renewable energy significantly reduces carbon emissions; in terms of supply chain management, optimization leads to an overall efficiency improvement and a reduction in resource wastage; and in terms of social responsibility, the enterprise strengthens employee training and community involvement, which enhances its social image. These results show that sustainable energy cross-border e-commerce can better achieve sustainable development goals through systematic assessment and optimization.

CONCLUSION: Life cycle assessment and model optimization provide scientific assessment methods and practical suggestions for sustainable energy cross-border e-commerce. In global sustainable development, the e-commerce industry should actively adopt sustainable energy and minimize its negative impacts on the environment and society by optimizing production and supply chain management. Future research can continue to expand the assessment model and deeply explore the potential of sustainable energy in e-commerce to provide more precise guidance for the industry's sustainable development.

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References

Ashutosh, A., Mishra, H., Nandivardhan, G., & Acharjee, A. (2021). Life cycle analysis and design for sustainability of a sustainable renewable energy system. 56–78.

Atmaca, N., Atmaca, A., & Zetin, A. H. (2021). The impacts of restoration and reconstruction of a heritage building on life cycle energy consumption and related carbon dioxide emissions. Energy and Buildings, 253, 111507-. https://doi.org/10.1016/j.enbuild.2021.111507 DOI: https://doi.org/10.1016/j.enbuild.2021.111507

Byun, J., Kwon, O., Kim, J., & Han, J. (2022). Carbon-negative food waste-derived bioethanol: A hybrid model of life cycle assessment and optimization. ACS Sustainable Chemistry & Engineering, 14, 10. https://doi.org/10.1021/acssuschemeng.1c08300 DOI: https://doi.org/10.1021/acssuschemeng.1c08300

Cheng, H., Huang, Y. T., & Huang, J. (2022). The application of DEMATEL-ANP in livestream e-commerce is based on consumer shopping motivation research. Scientific Programming, 2022, 1–15. DOI: https://doi.org/10.1155/2022/4487621

Cui, Q., & Shao, F. (2023). Comparison of life cycle assessment for laminating and glazing processes based on simapro. Pigment & Resin Technology, 88–99. https://doi.org/10.1108/PRT-09-2021-0116 DOI: https://doi.org/10.1108/PRT-09-2021-0116

Degen, F., & Schuette, M. (2022). Life cycle assessment of the energy consumption and GHG emissions of state-of-the-art automotive battery cell production. Journal of Cleaner Production, Jan.1, 330. DOI: https://doi.org/10.1016/j.jclepro.2021.129798

Haryanti, T., & Subriadi, A. P. (2021). E-commerce acceptance in the dimension of sustainability. Journal of Modelling in Management, ahead-of-print(ahead-of-print), 1–24.

Havrysh, V., Kalinichenko, A., Brzozowska, A., & Stebila, J. (2021). Life cycle energy consumption and carbon dioxide emissions of agricultural residue feedstock for bioenergy. Applied Sciences, 11(5), 2009. https://doi.org/10.3390/app11052009 DOI: https://doi.org/10.3390/app11052009

Kumar, D., & Tewary, T. (2021). Techno〆conomic assessment and optimization of a standalone residential hybrid energy system for sustainable energy utilization. International Journal of Energy Research, 2, 67–84.

Li, B., Jiang, X., Bai, D., Zhang, Y., Zheng, N., Dong, X., Liu, L., Yang, Y., & Li, D. (2021). Full-cycle energy consumption benchmark for low-carbon computer vision. 1–34.

Liao, H., Li, C., Nie, Y., Tan, J., & Liu, K. (2021). Environmental efficiency assessment for remanufacturing end-of-life machine and multi-objective optimization under carbon trading mechanism. Journal of Cleaner Production, Jul.25, 308. DOI: https://doi.org/10.1016/j.jclepro.2021.127168

Lin, C., & Jiang, F. (2021). Research of multidimensional optimization of LEACH protocol based on reducing network energy consumption. Journal of Electrical and Computer Engineering, 2021(1), 1–9. DOI: https://doi.org/10.1155/2021/6658454

Nogueira, G. P. M., de Assis Rangel, J. J., & Shimoda, E. (2021). Sustainable last-mile distribution in B2C e-commerce: Do consumers care? Cleaner and Responsible Consumption, 4364. https://doi.org/10.1016/j.clrc.2021.100021 DOI: https://doi.org/10.1016/j.clrc.2021.100021

Prado, J. C. D., & Chikezie, U. (2021). A decision model for an electricity retailer with energy storage and virtual bidding under daily and hourly CVaR assessment. IEEE Access : Practical Innovations, Open Solutions, PP(99), 1–1. DOI: https://doi.org/10.1109/ACCESS.2021.3100815

Rai, Heleen. B., Touami, Sabrina., & Dablanc, Laetitia. (2023). Not all e-commerce emits equally: Systematic quantitative review of online and store purchases’ carbon footprint. Environmental Science & Technology, 57(1), 708–718. https://doi.org/10.1021/acs.est.2c00299 DOI: https://doi.org/10.1021/acs.est.2c00299

Roy, A. M., Venkatesan, R. P., & Shanmugapriya, T. (2021). Simulation and analysis of a factory building’s energy consumption using eQuest software. Chemical Engineering & Technology, 44, 567–584. DOI: https://doi.org/10.1002/ceat.202000489

Siegfried, P., Michel, A., Tnzler, J., & Zhang, J. J. (2021). Analyzing sustainability issues in urban logistics in the context of the growth of e-commerce. MPRA Paper, 13–25. DOI: https://doi.org/10.52326/jss.utm.2021.4(1).01

Torkayesh, A. E., Rajaeifar, M. A., Rostom, M., Malmir, B., Yazdani, M., Suh, S., Heidrich, O., & Kazmerski, L. (2022). Integrating life cycle assessment and multi-criteria decision making for sustainable waste management: Key issues and recommendations for future studies. Renewable and Sustainable Energy Reviews, 566–588. https://doi.org/10.1016/j.rser.2022.112819 DOI: https://doi.org/10.1016/j.rser.2022.112819

Wang, Q., Han, X., & Zhao, L. (2022). Sustainable retroft of industrial utility system using life cycle assessment and two-stage stochastic programming. ACS Sustainable Chemistry & Engineering, 34–58. DOI: https://doi.org/10.1021/acssuschemeng.2c05004

Xie, J., Wang, Z., Wang, F., Wu, S., Chen, Z., & Yang, C. (2021). The life cycle energy consumption and emissions of asphalt pavement incorporating basic oxygen furnace slag by comparative study. Multidisciplinary Digital Publishing Institute, 8, 8. DOI: https://doi.org/10.3390/su13084540

Xu, S., Li, Z., & Yang, Q. (2021). Comparative life cycle assessment of energy consumption, pollutant emission, and cost analysis of Coal/Oil/Biomass to ethylene glycol. ACS Sustainable Chemistry & Engineering, 47, 9. https://doi.org/10.1021/acssuschemeng.1c05454 DOI: https://doi.org/10.1021/acssuschemeng.1c05454