Abstract

This article describes and discusses research into the perspectives for deploying the IoT (Internet of Things) within the Czech energy industry. Our conclusions are based on empirical research performed among 50 energy-industry experts in 2016 and 2017. This was two-stage research in which we held interviews with these experts in order to select the set of the most acceptable IoT technologies for deployment in the energy industry, and then used the TOPSIS method to select the most suitable technologies among them for deployment in the Czech environment. For use in determining the most suitable technologies, we also defined—with the help of the mentioned experts—individual selection parameters and weightings for them, enabling us to apply the TOPSIS method to the selected set of technologies. Our result was the selection of the SIGFOX IoT technology.

Highlights

  • Humans are consuming more energy every year, and utility companies are scrambling to meet the demand

  • There currently exist a large number of communication technologies that can be used within the Internet of Things (IoT)

  • Based on research into the field literature and the state of the market in the Czech Republic, we identified 13 technologies that can be utilized within the IoT and described these using a set of defined criteria

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Summary

Introduction

Humans are consuming more energy every year, and utility companies are scrambling to meet the demand. While we are making advancements in wind and solar, much of today’s energy still relies on fossil fuels—a substance literally formed millions of years ago. The general model for energy has not changed very much in the last century either. Energy is generated in centralized locations, powered by a few major fuel sources, and distributed by the electrical grid for use in homes and businesses. This model has proven to be reliable and everyone has standardized it, making widespread innovation difficult (IoT 2017). The International Energy Agency expects global energy demand to increase by 37% by 2040, which would likely put a strain on energy supplies

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