Concepts for dynamic modelling of energy-related flows in manufacturing

Wright, A. J.; Oates, Michael; Greenough, Richard

doi:10.1016/j.apenergy.2013.01.056

Cited by 31 publications

(11 citation statements)

References 4 publications

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“…Currently there are no commercially available tools for manufacturers to assess environmental performance, identify improvement areas and help suggest concrete actions across the breadth of the application area described [10]. Additionally, there are few examples of research [9,11,12,13] to bring these domains together.…”

Section: Literaturementioning

confidence: 99%

Factory Modelling: Combining Energy Modelling for Buildings and Production Systems

Ball

Evans

Greenough

et al. 2013

IFIP Advances in Information and Communication Technology

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Traditionally, manufacturing facilities and building services are analysed separately to manufacturing operations. This is despite manufacturing operations using and discarding energy with the support of facilities. Therefore improvements in energy and other resource use to work towards sustainable manufacturing have been sub-optimal. This paper presents research in which buildings, facilities and manufacturing operations are viewed as interrelated systems. The objectives are to improve overall resource efficiency and to exploit opportunities to use energy and / or waste from one process as potential inputs to other processes. The novelty here is the combined simulation of production and building energy use and waste in order to reduce overall resource consumption. The paper presents a literature review, develops the conceptual modelling approach and introduces the prototype IES Ltd THERM software. The work has been applied to industrial cases to demonstrate the ability of the prototype to support activities towards sustainable manufacturing.

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Section: Literaturementioning

confidence: 99%

Factory Modelling: Combining Energy Modelling for Buildings and Production Systems

Ball

Evans

Greenough

et al. 2013

IFIP Advances in Information and Communication Technology

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“…Discrete Event Simulation (DES) is commonly used in the manufacturing industry as a methodology of enhancing scheduling and system performance, identifying bottlenecks as well as process optimisation [17]- [19]. Simulation has been highlighted as the most appropriate method to model dynamic material and energy flows in a manufacturing environment due to the complexity of process interactions and large volume of variables [20].…”

Section: Introductionmentioning

confidence: 99%

Thermal modelling of manufacturing processes and HVAC systems

Mawson

Hughes

2020

Energy

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The two main energy consumers within a manufacturing plant are the HVAC systems and manufacturing processes. Studies have predominately looked at energy demand associated with manufacturing a single product or a production line, as well as analysis of energy use within a building, but little work has investigated the interaction between manufacturing processes and the surrounding building. Dynamic time based building energy simulation was used to determine the thermal behaviour of the manufacturing facility. The study establishes the importance of analysing manufacturing energy flows alongside that of the building in order to capture all thermal and energy flows. The relationship between the energy demand of HVAC systems with manufacturing productivity is determined. The use of the current degreeday method of building analysis was proven inappropriate for manufacturing facilities, due to such significant heat gains from manufacturing equipment, and impact of equipment on indoor conditions. The need for a proactive HVAC system based on manufacturing demand is introduced, allowing for control of the environment prior to significant temperature or humidity changes.

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“…Unsurprisingly, research into unit-process and process chain level energy simulation has increased in the past decade M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT (Heilala et al 2013;Thiede et al 2013;Wright et al 2013). Recent research by Thiede (2012a) aimed at a holistic energy simulation which considered all three levels of energy usage within a facility including all relevant energy flows (such as steam, compressed air and electricity).…”

Section: Energy Simulationmentioning

confidence: 99%

A simple energy usage toolkit from manufacturing simulation data

Wilson

Arokiam

Belaidi

et al. 2016

Journal of Cleaner Production

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A fundamental problem in the management of energy usage is the inability to clearly predict any possible energy saving opportunities. The cost of both under or overestimating potential returns on investment can be prohibitive to a decision maker. In recent years the simulation of energy usage using existing manufacturing simulation tools has increased in popularity among researchers, but it is decision makers who need to see the benefits of this discipline. This paper proposes an interactive manufacturing energy management toolkit which makes use of existing productivity simulation models for the prediction of energy usage. An interactive Microsoft ® Excel ® based toolkit is developed to control Lanner's WITNESS ® discrete-event simulation software using Microsoft ® Visual Basic ® for Applications. The toolkit has the ability to predict potential areas where energy saving opportunities can be made within a complex manufacturing line, and is accessible from management presentations and proposals. The interactivity of the toolkit provides an environment which facilitates efficient hypothesis testing. The paper includes an industrial case study where the approach was used to quantify theoretical savings from certain energy usage reduction scenarios within a complex automotive engine manufacturing line.

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Concepts for dynamic modelling of energy-related flows in manufacturing

Cited by 31 publications

References 4 publications

Factory Modelling: Combining Energy Modelling for Buildings and Production Systems

Factory Modelling: Combining Energy Modelling for Buildings and Production Systems

Thermal modelling of manufacturing processes and HVAC systems

A simple energy usage toolkit from manufacturing simulation data

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