scholarly journals Dickten & Masch Manufacturing Company: Industrial Energy Assessment Achieves $35,000 in Cost Savings for Plastics Manufacturer

2005 ◽  
Author(s):  
Keyword(s):  
Cost Savings ◽  
Energy Assessment ◽  
Manufacturing Company ◽  
Industrial Energy

A Comparative Study of Industrial Energy Assessments for Small and Medium-Sized Industrial Facilities

2018 ◽  
Author(s):  
Ahmad I. Abbas ◽  
Mandana S. Saravani ◽  
Muhannad R. Al-Haddad ◽  
Ryoichi S. Amano ◽  
Mohammad Darwish Qandil
Keyword(s):  
Energy Cost ◽  
Analytical Study ◽  
Energy Savings ◽  
Cost Savings ◽  
Assessment Process ◽  
Industrial Facilities ◽  
Manufacturing Plants ◽  
Energy Assessment ◽  
University Of Wisconsin ◽  
Industrial Energy

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.

Economic, Exergy, and Environmental Analyses of the Energy Assessments for US Industries

2021 ◽  
pp. 1-15
Author(s):  
Alaa Hasan ◽  
Osama M. Selim ◽  
Mohamed Abousabae ◽  
Ryoichi S. Amano ◽  
Wilkistar Otieno
Keyword(s):  
Cash Flow ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Exergy Analysis ◽  
Co2 Reduction ◽  
Cost Savings ◽  
Industrial Applications ◽  
Co2 Emission Reduction ◽  
Energy Assessment ◽  
Implementation Rate

Abstract This paper highlights the expected versus actual outcomes of 152 energy analyses that were performed between 2011 and 2020. The 1,317 energy assessment recommendations (ARs) are grouped into eight categories. This study adopted four measures per category: annual electricity savings, annual gas savings, annual cost savings, and annual CO2 emission reduction. The first part of the analysis compares the expected recommendations to each measure's actually implemented values for the eight categories. It was found that the percentages of the actual to the expected electricity, gas, and cost savings are 26.6%, 11.4%, and 17.1%, respectively. In contrast, the percentage of the actual to the expected CO2 reduction is 22%. Moreover, the second part of the analysis presents each category's implementation rate and the reasons for rejecting the unimplemented ARs. Cash flow and expensive initial investment resulted in rejecting 25% of ARs. Finally, the study proposes techniques and strategies to increase ARs' implementation rate and improve all private energy services industries' implementation rate. An exergy analysis is added to show the improvement that energy assessment achieves regarding exergy and exergy efficiencies of different industrial applications.

Simulation und Optimierung kombiniert/A simulation-based framework for operational optimization of industrial energy systems

2020 ◽  
Vol 110 (01-02) ◽  
pp. 12-17
Author(s):  
Niklas Panten ◽  
Heiko Ranzau ◽  
Thomas Kohne ◽  
Daniel Moog ◽  
Eberhard Abele ◽  
...  
Keyword(s):  
Synthetic Data ◽  
Cost Savings ◽  
Energy Systems ◽  
Decisive Role ◽  
Optimization Methods ◽  
Energy System ◽  
Significant Cost ◽  
Operational Optimization ◽  
Simulation Based ◽  
Industrial Energy

Die optimierte Betriebsweise von industriellen Energiesystemen ist eine Schlüsseltechnologie, um signifikante Kosteneinsparpotenziale durch Steigerung der Energieeffizienz und -flexibilität zu heben. Weil dabei eine Vielzahl dynamischer und stochastischer Einflüsse berücksichtigt werden müssen, spielt die Simulation des Energiesystems eine entscheidende Rolle. Zur Evaluierung unterschiedlicher Betriebsoptimierungsverfahren wird ein simulationsgestütztes Framework vorgestellt, welches bei KI (Künstliche Intelligenz)-Algorithmen unter anderem für das Anlernen mit synthetischen Daten verwendet werden kann.   The optimized operation of industrial energy systems is a key technology to unlock significant cost savings by increasing energy efficiency and flexibility. Since a variety of dynamic and stochastic influences must be considered, the simulation of the energy system plays a decisive role. A simulation-based framework is presented for evaluating various operational optimization methods, which can also be used for learning based on synthetic data with AI (artificial intelligence) algorithms.

scholarly journals Study of Energy Saving Analysis for Different Industries

2020 ◽  
Vol 143 (5) ◽  
Author(s):  
Ahmad Abdel-Hadi ◽  
Abdel Rahman Salem ◽  
Ahmad I. Abbas ◽  
Mohammad Qandil ◽  
Ryoichi S. Amano
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Cost Savings ◽  
Industrial Sector ◽  
Metal Industry ◽  
Assessment Process ◽  
Standard Industrial Classification ◽  
Fabricated Metal ◽  
Energy Assessment ◽  
Knowing That

Abstract This study analyzes the energy consumption and saving performance in the industries in the U.S.A. All energy assessments implemented were for facilities whose annual energy consumptions were less than 9,000,000 kWh (small- and medium-sized industries) that belong to the manufacturing industries with Standard Industrial Classification (SIC) codes ranging from 2000 to 3999 in addition to SIC codes starting with 49. In this study, assessments are classified based on the SIC codes with recommendations analysis for each classification to get a better idea of what recommendations were suggested in each major industrial sector, knowing that 68 assessments were made, and their SIC ranged from 14 to 49. In addition, this study could be considered as a guide for energy engineers and other personnel involved in the energy assessment process. The information investigated can give a better prediction for composing better energy-demanding industries and minimizing energy consumption. More than 61 energy assessments were conducted for manufacturing facilities and analyzing the data gathered and processed. Through the research, the Fabricated Metal industry achieved the highest average kWh savings and cost savings within the industries studied in this study. According to the average gigajoule (GJ) savings, the fabricated metal industry ranked second within the studied industries. Conversely, Food and Kindred Products achieved the highest GJ energy savings within the studied industries. Lighting, motors, compressors, and heating, ventilation, and air conditioning (HVAC) were the most contributing industries in a total of 547 recommendations.

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

Sensors ◽  
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.

scholarly journals A Systematic Literature Review of Methods for Improved Utilisation of the Non-Energy Benefits of Industrial Energy Efficiency

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3241 ◽  
Author(s):  
Therese Nehler
Keyword(s):  
Energy Efficiency ◽  
Applied Research ◽  
Energy Savings ◽  
Cost Savings ◽  
Primary Methods ◽  
Academic Literature ◽  
Study Approach ◽  
Industrial Energy ◽  
Industrial Energy Efficiency

Improvements in industrial energy efficiency demonstrated various additional effects beyond pure energy savings and energy cost savings. Observed on many levels, these additional effects, often denoted as non-energy benefits, constitute a diverse collection, for instance, effects related to firms’ production or improvements in the work environment and the external environment. Previous studies showed the potential of including quantified and monetised non-energy benefits in energy efficiency investments. However, there seems to be a lack of methodological overview, including all the steps from observation to monetisation and inclusion in investments. This study systematically reviews the academic literature on non-energy benefits relating to methods for observation, measuring, quantification, and monetisation of the benefits. The most commonly applied research design was a case study approach, in which data on non-energy benefits were collected by conducting interviews. Furthermore, the primary methods used to enable quantification and monetisation of observed non-energy benefits were based on classifications, indexes in relation to the energy savings, or frameworks. Calculation methods, databased tools, classification frameworks, and ranking were applied to evaluate the benefits’ potential in relation to energy efficiency investments. Based on a synthesis of the review findings, this article contributes a novel scheme for improved utilisation of the non-energy benefits of industrial energy efficiency.

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