Bemis Manufacturing Company: Compression Molding Company Saves More Than $22,000 Per Year by Implementing Industrial Energy Assessment Recommendations

The Industrial Assessment Center at University of Wisconsin-Milwaukee (WM-IAC) has implemented over 100 industrial energy, waste, and productivity assessments, and has recommended $9.5 million of energy and operational savings with about 950 recommendations since it was re-established in 2011. This paper analyzes the assessments, and the recommendations were performed over two years only, 2014 and 2015. During these two years, a total of 40 assessments were created by visiting different manufacturing facilities with the analysis of the data gathered and processed. The determinants of the data were the number of recommendations, recommended energy savings (in kWh/year), recommended energy cost savings (in US$/year), implemented energy savings (in US$/year), the Standard Industrial Code (SIC) and the groups of Energy Efficiency Opportunities (EEOs). Such an analytical study was meant to reveal the significance of EEO groups through a variety of SICs in terms of the potential for energy savings, particularly focused towards choosing plant facilities for IAC assessments. Additionally, this paper could be considered as a guide for plant managers, energy engineers and other personnel involved in the energy assessment process. Conclusions are inferred with respect to the most promising EEOs that can be resolved based on the characteristics of the manufacturing plants visited. The information investigated can pave the way for composing energy demanding industries and expose priority goal areas regarding minimizing the energy consumption.

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Overcoming internal barriers to industrial energy efficiency through energy audit: a case study of a large manufacturing company in the home appliances industry

Clean Technologies and Environmental Policy ◽

10.1007/s10098-016-1298-5 ◽

2016 ◽

Vol 19 (4) ◽

pp. 1031-1046 ◽

Cited By ~ 10

Author(s):

Davide Chiaroni ◽

Vittorio Chiesa ◽

Simone Franzò ◽

Federico Frattini ◽

Vito Manfredi Latilla

Keyword(s):

Energy Efficiency ◽

Energy Audit ◽

Home Appliances ◽

Manufacturing Company ◽

Industrial Energy ◽

Industrial Energy Efficiency ◽

Internal Barriers

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Industrial Energy Assessment Training Effectiveness Evaluation: An Eye-Tracking Study

Sensors ◽

10.3390/s21051584 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1584

Author(s):

Laleh Ghanbari ◽

Chao Wang ◽

Hyun Woo Jeon

Keyword(s):

Eye Tracking ◽

Training Program ◽

Controlled Environment ◽

Visual Behavior ◽

Energy Assessment ◽

Industrial Energy ◽

Assessment Training ◽

Training Effectiveness Evaluation ◽

Areas Of Interest ◽

Tracking Technology

It is essential to understand the effectiveness of any training program so it can be improved accordingly. Various studies have applied standard metrics for the evaluation of visual behavior to recognize the areas of interest that attract individuals’ attention as there is a high correlation between attentional behavior and where one is focusing on. However, through reviewing the literature, we believe that studies that applied eye-tracking technologies for training purposes are still limited, especially in the industrial energy assessment training field. In this paper, the effectiveness of industrial energy assessment training was quantitatively evaluated by measuring the attentional allocation of trainees using eye-tracking technology. Moreover, this study identifies the areas that require more focus based on evaluating the performance of subjects after receiving the training. Additionally, this research was conducted in a controlled environment to remove the distractions that may be caused by environmental factors to only concentrate on variables that influence the learning behavior of subjects. The experiment results showed that after receiving the training, the subjects’ performance in energy assessment was significantly improved in two areas: production, and recycling and waste management, and the designed training program enhanced the knowledge of participants in identifying energy-saving opportunities to the knowledge level of experienced participants.

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