Analytics for energy efficiency concepts and applications

摘要

Incredible amounts of data are created, shared and stored every day, but companies are just beginning to harness the potential. The next step will consist of leveraging data to improve the energy efficiency of industry, infrastructure and buildings. With Analytics, a new range of information and knowledge is accessible: data can be transformed into KPIs, benchmarked and used to build patterns and models. This new information can improve action and decision-making for the short-term and rationale for future design & investment strategies, and provide the basis for asset management schemes. This paper explains how Analytics contribute to improving Energy Efficiency in industry. A practical example is given in the field of lift/hoisting machines. We present Schneider Electric's vision of Analytics, relying on 7 features that lay the foundations for efficient design of solutions, and we show how the set of Analytics methods covers the vast diversity of application needs.