Unified Framework to Select an IoT Platform for PtX Cogeneration Plants

Abstract

This study is a systematic analysis of selected research articles about the Power-to-x (P2X) sector. The relevance of this resides in the fact that most of the world energy is made from fossil fuels, which has been led to a huge amount of greenhouse gas emissions that are the source of global warming. One of the most supported actions against this issue is to produce and use the renewable energy resources, some of which are intermittent like solar and wind. This brings the need for large-scale, longer-period energy storage solutions. In this sense, P2X process chain could play this role: renewable energy can be converted into storable hydrogen, chemicals and fuels via electrolysis and subsequent synthesis with CO 2 . The focus of this study is to highlight the main contributions that are using the advanced data driven methods and latest technologies like Internet of Things (IoT), big data analytics and machine learning for the efficient operation of P2X cogeneration plants. In this case, one key challenge the industries face is the selection of an IoT platform among the hundreds of IoT platforms in the market. In this paper, we adapt our previously proposed general framework to choose an IoT platform focusing here on the requirements of P2X cogeneration plant. The proposed framework provides an objective methodology that can be used to select the most suitable IoT platform for different P2X cogeneration plant based on their particular requirements.