Data-Driven Modeling and Analysis of Energy Efficiency of Geographically Distributed Manufacturing

Industries consume about one third of the total energy in the United States. In manufacturing sectors, significant energy loss occurs in various types of process systems and energy generation, conversion, and distribution steps. Over the past decades, various organizations have conducted a variety of analyses on national-level manufacturing activity and energy use, which have helped manufacturing sectors understand challenges in energy sustainability. It is recognized that integrated use of the openly accessible data may generate new information about energy efficiency and environmental impact in different manufacturing regions in the United States. In this work, we introduce a general data-driven modeling and analysis method to study energy consumption, energy loss, and carbon dioxide emission in the manufacturing sectors in geographically different regions. Case studies will illustrate methodological applicability and efficacy.