A review on energy supply chain resilience through optimization

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:134

Review

Emenike, Scholastica N.¹  Falcone, Gioia¹ 

[1] Univ Glasgow, Sch Engn Energy & Sustainabil Grp, Univ Ave, Glasgow G12 8QQ, Lanark, Scotland

关键词: Resilience;    Supply chain;    Optimization;    Energy;    Natural gas;    Uncertainty;    Disruption;    COVID-19;   

DOI  :  10.1016/j.rser.2020.110088

来源: Elsevier

【 摘 要 】

The concept of supply chain resilience continues to attract both industry and research experts in the field of energy. These stakeholders continue to tackle disruptions to supply chain systems through the introduction of strategy options for resilience. A better understanding of broader dimensions of potential disruptions to supply chains caused by uncertainties has become eminent, especially as currently experienced during the global COVID-19 pandemic. The effects of the outbreak in disrupting supply chains in the energy sector will, in the next decade, continue to be a likely concern for industry and research stakeholders. Balancing the increasing need for energy security to meet the continuous growth in energy demand through shortage reduction and increased uptime using optimization is the core of this research. This review paper provides an insight into recent studies in the field of natural gas supply chain resilience as a major player in the energy mix, and the continued disruption and subsequent shutdowns of plant nodes, which results in emission loss to the environment. This paper is motivated by the disparity between demand and supply triggered by the disruption of supply chain networks. Referenced in this paper are scientific work on supply chain resilience of biomass, water, power systems, and natural gas. Findings show that existing studies favor fewer system-based strategies in optimizing for resilience. This review concludes that an optimization is a useful tool to continuously achieve resilience in supply chain production, storage, and transportation activities.

【 授权许可】

Free