Authors

Shiyao Wang

Type

Text

Type

Thesis

Advisor

Chang, Qing | Longtin, Jon | Kincaid, John.

Date

2013-12-01

Keywords

energy efficiency, energy efficiency indicator, energy saving oppotunity, stochastic frontier anaylsis | Engineering

Department

Department of Mechanical Engineering.

Language

en_US

Source

This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.

Identifier

http://hdl.handle.net/11401/76457

Publisher

The Graduate School, Stony Brook University: Stony Brook, NY.

Format

application/pdf

Abstract

Presently, with the development of modern manufacturing system, the usage of energy is growing rapidly. Since most of fuel we use are non-renewable resources, fuel becomes a very big part of cost. How to use the energy more efficiently is the main concern now. This thesis provides a systematic method to evaluate the energy efficiency of a production system and decompose the unnecessary energy waste of a manufacturing facility from the measured data with stochastic frontier analysis model. A new energy efficiency indicator is developed for the energy consumption level and efficiency of machines and production lines. Energy savings opportunity widows are applied to maximize energy consumption efficiency and enable the rearranging of the scheduled maintenance without permanent production loss. | 71 pages

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