Abstract

This article explores the issues of assessing electricity consumption by individual countries and territorial entities based on their demand volatility. The current demand-side management (DSM) programs deployed in different countries of the world do not take into account individual characteristics of energy demand, which affects their effectiveness. This article describes the methodology developed by the authors to analyze demand volatility in individual countries and territorial entities using a demand volatility map. The authors introduce new indicators for assessing the electricity demand volatility such as: “Annual Load Volatility Factor,” “Daily Load Factor” and “Demand Volatility Coefficient,” which underlie a demand volatility map. The map is used to identify similar demand volatility trends among individual countries and territorial entities and offer recommendations and management decisions for decreasing volatility in the grid on the level of individual countries and territorial entities. This article presents the results of testing the methodology in the form of two demand volatility maps – one built for the EU, the other for Russia. The EEC volatility map emphasized the need for a differentiated approach to DSM in different countries. It also allowed clustering the countries and revealed states with similar trends where similar DSM models could be deployed. The Russia-wide volatility map showed the regions that are best positioned for DSM and allowed the authors to produce recommendations on DSM for similar regional groups. The results of the study have high theoretical and practical importance which manifests in their potential application for the decision-making in the field of DSM in individual countries and territorial entities, aimed at reducing energy consumption and improving energy efficiency.

Highlights

  • The accelerating globalization increases competition between global economies, forcing them to look for new growth areas and improve their efficiency

  • Demand volatility maps of individual territorial entities reveal entities of the national grid which share similar demand trends. This can be used as input for further differentiated demand-side management (DSM) programs

  • The study used hourly consumption data from 65 regions that are part of the price zones on the wholesale electricity market in Dzyuba and Solovyeva: Demand-side Management in Territorial Entities based on their Volatility Trends Figure 10: Average annual share of electricity consumption by industry in different regions of Russia

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Summary

INTRODUCTION

The accelerating globalization increases competition between global economies, forcing them to look for new growth areas and improve their efficiency. Dzyuba and Solovyeva: Demand-side Management in Territorial Entities based on their Volatility Trends Figure 1: Total energy intensity of GDP (PPP) in various countries of the world in 2018 generation has the greatest potential when it comes to improving energy efficiency. The roll-out of the smart grid technology will transform the existing control system in the electric power industry with the new technological capabilities (Volkova, 2016; Voropay, 2014; ENTSO-E, 2014; US State Department of Energy, 2003; European Commission, 2016; International Energy Agency, 2015). The difference is only in the scale of such programs, which is associated with the volume of funding and government support for DSM initiatives

RELEVANCE
METHODOLOGY FOR BUILDING DEMAND VOLATILITY MAPS
Findings
CONCLUSIONS
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