A Framework for Energy Efficiency in Manufacturing based on a Reverse Engineering Approach of the ENERGY STAR Energy Performance Indicator

  • Driss Lahjouji

Student thesis: Master's Thesis

Abstract

Energy is of great importance for all industries, especially energy intensive ones like automotive, cement and aluminum smelting, because it represents one of the most important factors of production. From manufacturers’ perspective, energy consumption is associated with several challenges including volatility of energy prices, compliance with environmental regulations, and impact of resource consumption on corporate image. Accordingly, manufacturing facilities have a strong incentives to consider energy issues and adopt a sustainable manufacturing approach when designing and operating manufacturing facilities. However, because of lack of information most manufacturing plants don’t know how energy efficient or inefficient is their plant operating in comparison with the rest of the industry. To overcome this situation, U.S. Environmental Protection Agency (EPA) developed the ENERGY STAR Energy Performance Indicator (EPI), a parametric statistical benchmarking tool that relates energy consumption with internal and external production factors to assess the energy efficiency of a manufacturing plant in contrast with other plants across the same industry. Nonetheless, the EPI does not determine the energy a manufacturing plant should consume to achieve a certain level of energy efficiency. To address this limitation, a simulation framework based on a reverse engineering approach of the EPI is developed to determine the energy consumption required to reach a given energy efficiency level.
Date of AwardMay 2015
Original languageAmerican English
SupervisorMohammad Omar (Supervisor)

Keywords

  • Energy Efficiency
  • Energy Management System
  • Energy Benchmarking
  • Environmental Protection Agency (EPA)
  • ENERGY STAR Energy Performance Indicator (EPI).

Cite this

'