Strategic energy flows in input‐output relations: A temporal multilayer approach

Author:

Clemente Gian Paolo1,Cornaro Alessandra2ORCID,Grassi Rosanna2,Rizzini Giorgio2

Affiliation:

1. Department of Mathematics for Economic, Financial and Actuarial Sciences Università Cattolica del Sacro Cuore Milan Italy

2. Department of Statistics and Quantitative Methods University of Milano–Bicocca Milano Italy

Abstract

AbstractThe energy consumption, the transfer of resources through the international trade, the transition towards renewable energies and the environmental sustainability appear as key drivers in order to evaluate the resilience of the energy systems. Concerning the consumptions, in the literature a great attention has been paid to direct energy, but the production of goods and services also involves indirect energy. Hence, in this work we consider different types of embodied energy sources and the time evolution of the sectors' and countries' interactions. Flows are indeed used to construct a directed and weighted temporal multilayer network based respectively on renewable and non‐renewable sources, where sectors are nodes and layers are countries. We provide a methodological approach for analysing the network reliability and resilience and for identifying critical sectors and economies in the system by applying the Multi‐Dimensional HITS algorithm. Then, we evaluate central arcs in the network at each time period by proposing a novel topological indicator based on the maximum flow problem. In this way, we provide a full view of economies, sectors and connections that play a relevant role over time in the network and whose removal could heavily affect the stability of the system. We provide a numerical analysis based on the embodied energy flows among countries and sectors in the period from 1990 to 2016. Results prove that the methods are effective in catching the different patterns between renewable and non‐renewable energy sources.

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Probabilistic and statistical methods in commodity risk management;Applied Stochastic Models in Business and Industry;2023-12-28

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