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2016 | OriginalPaper | Chapter

Business Resilience During Power Shortages: A Power Saving Rate Measured by Power Consumption Time Series in Industrial Sector Before and After the Great East Japan Earthquake in 2011

Author : Yoshio Kajitani

Published in: Advances in Time Series Methods and Applications

Publisher: Springer New York

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Abstract

Many power crises have occurred in developing and developed countries such as through disruptions in transmission lines, excessive demand during heat waves, and regulatory failures. The 2011 Great Japan Earthquake caused one of most severe power crises ever recorded. This study measures the industry’s ability to conserve power without critically reducing production (“power saving rate”) as one of the indicator of resilience as a lesson of disaster. The quantification of the power saving rate leads to grasping the potential power reduction of industrial sector or production losses caused by the future incidents in many regions or countries. Using time series data sets of monthly industrial production and power consumption, this study investigates the power saving rate of Japanese industries during power shortages after the great earthquake. The results demonstrates the size of power saving rate right after the disaster, during the first severe peak demand season, as well as long-term continuous efforts of power saving in different business.

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previous chapter A Brief Derivation of the Asymptotic Distribution of Pearson’s Statistic and an Accurate Approximation to Its Exact Distribution

next chapter Atmospheric and Global Temperatures: The Strength and Nature of Their Dependence

The report is updated in 2011.

It is, of course, ideal to use detailed regional temperatures, especially when more disaggregated power consumption data are available.

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Title: Business Resilience During Power Shortages: A Power Saving Rate Measured by Power Consumption Time Series in Industrial Sector Before and After the Great East Japan Earthquake in 2011
Author: Yoshio Kajitani
Publisher: Springer New York
Book: Advances in Time Series Methods and Applications
Print ISBN: 978-1-4939-6567-0

Electronic ISBN: 978-1-4939-6568-7

Copyright Year: 2016
DOI: https://doi.org/10.1007/978-1-4939-6568-7_12