Development of a performance-based industrial energy efficiency indicator for corn refining plants.

Boyd, Gale; Decision,

doi:10.2172/929225

Cited by 10 publications

(17 citation statements)

References 2 publications

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“…Statistical approaches (e.g. Artificial Neural Network (ANN) and regression) are very efficient in dealing with such systems with intrinsic complexity and multitude of controlling variables; Boyd (2005)). Though in some cases the 'black box' methods still suffer from in-accuracy and predictability issues due to the lack of observe-ability; however, such methods can still be integrated into the simulation to simplify certain models construction.…”

Section: Current Simulation Frameworkmentioning

confidence: 99%

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A hybrid simulation approach for predicting energy flows in production lines

Omar

Qilun

Lujia

et al. 2015

International Journal of Sustainable Engineering

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This manuscript proposes a hybrid simulation model of discrete and continuous modes, designed to predict energy consumption and flows within an automotive production facility. The simulation integrates sub-models for the plant stations and energy management center based on regression analysis of two-year data, forecasting, and physical modelling. The hybrid simulation is developed to account for the energy consumed in manufacturing, air-tempering, and in maintaining equipment with large thermal inertia in an idle-state. The model is applied in twofold; a Daily volume production and a Sequence record and delay modes. The results are found in agreement with plant-recorded data.

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Section: Current Simulation Frameworkmentioning

confidence: 99%

“…The first is in maintaining the working environment of the plant (e.g. ventilation, illumination and air-conditioning), which is referred to as the 'plant' level consumption as in (Galitsky and Worrell 2003;Boyd 2005; U.S. DOE (U.S. Department of Energy) 2011, 74-78). The second is the energy used for the actual production; i.e.…”

Section: Introductionmentioning

confidence: 99%

A hybrid simulation approach for predicting energy flows in production lines

Omar

Qilun

Lujia

et al. 2015

International Journal of Sustainable Engineering

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“…The spreadsheet has additional tabs that display the fossil fuel and electricity results separately. The results for the electricity and fuels models are based directly on the parameter estimates and the corresponding formulae documented by Boyd [1]. 11 Although the automobile assembly EPI is intended to produce plant-specific analysis of energy efficiency, some broad inferences about efficiency in automobile assembly can be made based on the models and the underlying data.…”

Section: Examples From Specific Industry Sectorsmentioning

confidence: 99%

“…To aid decision-making that reduces energy use, EPA designed the ENERGY STAR certification mark as a label for products, homes, and facilities that meet or exceed performance guidelines. 1 The ENERGY STAR mark is a nationallyrecognized symbol of energy efficiency. It can be found on many products including, appliances, office equipment, and lighting as well as on homes, and buildings.…”

Section: Introductionmentioning

confidence: 99%

The evolution of the ENERGY STAR® energy performance indicator for benchmarking industrial plant manufacturing energy use

Boyd

Dutrow

Tunnessen

2008

Journal of Cleaner Production

127

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“…Therefore, studies about energy consumption and energy efficiency in the motor vehicle manufacture industry are limited, and the studies that do exist have been limited to descriptive analyses of energy efficiency potentials, of clean production and of strategies to improve energy efficiency (Maxwell et al 1997;Galitsky and Worrell 2008;Boyd 2005;Moavenzadeh 2006).…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency in the automotive industry evidence from Germany and Colombia

Martínez

2010

Environ Dev Sustain

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This paper presents an analysis of energy efficiency performance in the automotive industry from evidence of Germany and Colombia in order to show important features in energy use between countries with the different income between 1998 and 2007. We found that the automotive industry improved its energy efficiency in each country. In order to understand the driving forces behind these trends, the concept of the production function is used to obtain the elasticities of substitutions and the relationships between several variables and energy efficiency performance in German and Colombian motor vehicle industries. In both countries, we found that the variables of energy prices and sizes of companies each have a positive influence on the efficiency of the gross production/ energy ratio. These results show that, in the motor vehicle industry, energy efficiency performance depends on different factors. Hence, variables such as energy prices, energy taxes, economies of scale and technology changes have played a crucial role in the improvements in productivity and rational energy use.

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Development of a performance-based industrial energy efficiency indicator for corn refining plants.

Cited by 10 publications

References 2 publications

A hybrid simulation approach for predicting energy flows in production lines

A hybrid simulation approach for predicting energy flows in production lines

The evolution of the ENERGY STAR® energy performance indicator for benchmarking industrial plant manufacturing energy use

Energy efficiency in the automotive industry evidence from Germany and Colombia

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