Development of a Procedure for Energy Efficiency Evaluation and Improvement of Production Machinery

Steinhilper, Rolf; Freiberger, Stefan; Kübler, Frank

doi:10.1007/978-3-642-29069-5_58

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…Using the analysed data optimisation measures concerning load management, optimisation of the machine control, dimensioning of drives, lightweight design, mass balance or break energy recovery can be applied. Those measures as well as the analysis of possible energy saving potential are already discussed by the authors in [7], [8] and another contribution in this compilation of the conference «Green Factory Bavaria 2014» (Title: Methodologies to increase energy efficiency in discrete manufacturing) and will be not a part of this paper.…”

Section: Results Of the Measurement Data Gathered By The Flexible Mea...mentioning

confidence: 99%

Identifying Energy Efficiency Potentials by Applying Flexible Measuring Systems

Hamacher

Boehner

Reger

2014

AMM

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This paper presents a flexible measuring system to identify energy efficiency potentials in the context of the ISO 50001 standard. On the basis of five essential requirements the flexible measuring system was structured into 4 modules which can be separately extended or modified. As the flexibility was in focus of the development this system it is able to measure the energy consumption on a very detailed level of the components of a machine. In addition it can also acquire measurement data of different other sensor signals like temperatures, flow rates etc. To evaluate the usability of the system in order to identify energy efficiency measures a use case was conducted. Results of the measurement data as well as possible energy savings of the investigated machinery are discussed at the end of this paper.

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Section: Results Of the Measurement Data Gathered By The Flexible Mea...mentioning

confidence: 99%

Identifying Energy Efficiency Potentials by Applying Flexible Measuring Systems

Hamacher

Boehner

Reger

2014

AMM

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“…As shown in Figure 2 the first module includes the machine identification [10] and is followed by a second module for machine examination including initial power measurements. To gather the necessary input data a detailed machine examination has to be conducted using flexible measurement concepts.…”

Section: Procedures To Increase Energy Efficiencymentioning

confidence: 99%

“…Using a methodology described in [10], five identical machines were indentified to be investigated in detail. Looking at the measurement results which were gathered by electrical power measurements during a period of one month, a fluctuating power demand was revealed.…”

Section: Load Managementmentioning

confidence: 99%

Derivation of Measures for Energy Efficient Machine Design by Evaluating Energy Consumption Data

2014

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During a machine's design phase a lack of reliable specification data resulting from the use phase specific application leads to energy losses in various discrete manufacturing processes. The reason for instance could be inefficient design of drive components or insufficient machine control. In order to support machine designers with reliable input data to e.g. dimension drive components in energy efficient way, this contribution presents an approach how to measure and interprete energy consumption data of machines during its use phase. This can be applied to derive energy efficiency measures on components level. The identified measures then are implemented during the design phase of the next machine generation or realized during the machines use phase by energy efficient machine upgrading.

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“…There the authors supposed a procedure to prioritise the value creating assets of a factory e.g. machine for further investigation [9]. Being established in the field of mechanical engineering [10], this approach is firstly discussed for its application in management system in the next section.…”

Section: Energy Management Systemsmentioning

confidence: 99%

Multi Criteria Decision Making Enhancing Sustainable Energy Management

Boehner

2015

AMM

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Establishing energy management in manufacturing major challenge means to increase the energy efficiency of machinery in existing and future processes leading to both, a reduction of energy costs as well as to a reduction of the manufacturing-process-related environmental impacts. Therefore we developed a procedure to prioritize existing machinery for detailed machine examination in order to create a sustainable approach for machine operating companies to prioritise its assets for energy optimisation projects. By using fuzzy logic as method of artificial intelligence nominal and utilisation machinery data as well as inhouse expert knowledge is considered to enhance multi criteria decision making both. Applying this methodology in a series of industrial case studies in discrete manufacturing costs savings of up to 40 percent were realised.

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Development of a Procedure for Energy Efficiency Evaluation and Improvement of Production Machinery

Cited by 5 publications

References 8 publications

Identifying Energy Efficiency Potentials by Applying Flexible Measuring Systems

Identifying Energy Efficiency Potentials by Applying Flexible Measuring Systems

Derivation of Measures for Energy Efficient Machine Design by Evaluating Energy Consumption Data

Multi Criteria Decision Making Enhancing Sustainable Energy Management

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