Multi-level simulation in manufacturing companies: The water-energy nexus case

Thiede, Sebastian; Schönemann, Malte; Kurle, Denis; Herrmann, Christoph

doi:10.1016/j.jclepro.2016.08.144

Cited by 59 publications

(21 citation statements)

References 35 publications

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“…However, when the energy-saving measures were combined using a holistic approach, significantly greater reductions of 41 and 43% were observed, thus emphasising the advantages of a holistic approach. Other studies have arrived at similar conclusions further demonstrating the benefits of holistic approaches for factory analysis [3,5,6]. A review of the latest literature does not show any signs of a change in this trend [7]; therefore, holistic approaches for factory resource analysis can be considered the way forward for sustainable manufacturing.…”

Section: Introductionmentioning

confidence: 71%

“…Thiede et al [3] presented an energy-based holistic simulation approach to manufacturing companies, with a specific focus on the interdependence between energy and water (the energy-water nexus). In terms of modelling water flows, the scope of this study was limited since it was based on the first law of thermodynamics and only the thermal energy content of water was considered, without any consideration of water quality.…”

Section: Exergy-based Resource Accounting In Manufacturingmentioning

confidence: 99%

“…Therefore, resource analysis techniques should be able to account for such exchanges between resources of varied nature, allowing a holistic assessment of the manufacturing environment. A clear need to understand multiple resources concurrently, on a common scale, has been identified by researchers over the past decade [1][2][3]. This holistic perspective of the factory is underpinned by the premise that its components interact dynamically.…”

Section: Introductionmentioning

confidence: 99%

“…For example, food processing factories need to adhere to strict clean-in-place (CIP) hygiene standards that are waterintensive processes [11][12][13]. With the increasing importance of water efficiency in manufacturing, there is a need for resource accounting methods for factories that can analyse flows of water in addition to flows of energy and material [3].…”

Section: Introductionmentioning

confidence: 99%

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Resource accounting in factories and the energy-water nexus

Khattak

Greenough

2017

Int J Adv Manuf Technol

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A manufacturing system comprises production processes and building services, both of which are supplied by different energy carriers as well as raw materials and water. These resources interact according to complex relationships and are converted into products for sale and waste flows. Holistic resource accounting allows the analyst to consider the dynamic relationships between these components, including the strong interdependence between energy and water, which has been called the energy-water nexus. Exergy analysis is a method that accounts for mass and both the quantity and quality of energy, while allowing analysis on a common basis, and for this reason, it is used increasingly to analyse resource consumption in manufacturing systems; however, it has rarely been used to consider water flows alongside energy and material flows. The main contribution of this paper is the presentation of modelling water flows in terms of exergy in the context of sustainable manufacturing. Using this technique in combination with previously developed exergy-based methods, the result is a truly holistic resource accounting method for factories based on exergy analysis that incorporates water flows. The method is illustrated using a case study of a food factory in which a 4.1% reduction in resource use is shown to be possible by employing anaerobic digester in an effluent water treatment process. The benefits of this technology option would have been underestimated compared to the benefits of waste heat capture if an analysis based on mass and energy balances alone had been used. The scientific value of this paper is the demonstration of the relatively high exergy content of effluent flows, which should therefore be regarded as potentially valuable resources. The analytical method presented is therefore of value to a wide range of industries beyond the food industry.

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Section: Introductionmentioning

confidence: 71%

Section: Exergy-based Resource Accounting In Manufacturingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource accounting in factories and the energy-water nexus

Khattak

Greenough

2017

Int J Adv Manuf Technol

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“…Mousavi et al [16] presented a hierarchal framework for the simultaneous consideration of water flows alongside energy in manufacturing facilities. Thiede et al [17] proposed a 'multi-level' simulation approach which again catered to the interdependency between energy and water. An exergy based approach to modelling of resource flows within the manufacturing context was presented by Khattak et al [18,19], to allow for the concurrent assessment of improvement options that may involve energy, material or water.…”

mentioning

confidence: 99%

Towards Improved Energy and Resource Management in Manufacturing

2018

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Exergy analysis has widely been used to assess resource consumption, and to identify opportunities for improvement within manufacturing. The main advantages of this method are its ability to account for energy quality and consumption. However, its application in industrial practice is limited, which may be due to the lack of its consistent application in practice. Current energy management standard, that facilitate consistent application of procedures do not consider the quality aspects of energy flows. An exergy based energy management standards is proposed in this paper that would take into account energy quality aspects, while facilitating the consistent application of exergy analysis in industrial practice. Building on ISO50001, this paper presents guidelines for implementing energy and resource management in factories, incorporating the concepts of exergy and holistic factory simulation, as illustrated through a manufacturing case study. From the factory level analysis, a chilling process was identified to have significant improvement potential. A dry fan cooler, using ambient air was proposed for the improved efficiency of the chillers. Energy based metrics portrayed a system that operated at high efficiency, however exergy analysis indicated much room for further improvement, therefore impacting decision making for technology selection. The contribution of this paper is in presenting a set of prescriptive guidelines that could possibly be further developed into a new energy management standard that would utilize the advantages of exergy analysis towards improved energy and resource management in manufacturing.

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The Digital Twin as a Service Enabler: From the Service Ecosystem to the Simulation Model

Meierhofer

West

Rapaccini

et al. 2020

Lecture Notes in Business Information Processing

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This paper investigates the concept of the digital twin as an enabler for smart services in the context of the servitization of manufacturing. In particular, a concept is developed and proposed for the derivation of appropriate simulation models starting from the model of the service ecosystem. To do so, smart industrial services are analyzed from the point of view of their value proposition. Next, the role of the digital twin as an enabler for these services is analyzed and structured in a multi-layer architecture. Hybrid simulation approaches are identified as suitable for building simulation models for this architecture. Finally, a procedural end-to-end approach for developing a simulation based digital twin departing from the service ecosystem is proposed.

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Multi-level simulation in manufacturing companies: The water-energy nexus case

Cited by 59 publications

References 35 publications

Resource accounting in factories and the energy-water nexus

Resource accounting in factories and the energy-water nexus

Towards Improved Energy and Resource Management in Manufacturing

The Digital Twin as a Service Enabler: From the Service Ecosystem to the Simulation Model

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