Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics

Dababneh, Fadwa; Li, Lin; Sun, Zeyi

doi:10.1016/j.ijpe.2016.04.007

Cited by 31 publications

(11 citation statements)

References 18 publications

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“…The authors of [51] studied the Bernoulli production line to minimize the peak demand cost and labor cost. The authors of [52] considered the heating ventilation and air conditioning system to reduce the peak load of manufacturing system. The authors of [51,52] focused on the tact-system production rather than jobs sequencing, and they considered corrective maintenance for random breakdowns rather than PM.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The authors of [52] considered the heating ventilation and air conditioning system to reduce the peak load of manufacturing system. The authors of [51,52] focused on the tact-system production rather than jobs sequencing, and they considered corrective maintenance for random breakdowns rather than PM. The authors of [53] is the first attempt to tackle the permutation flow shop scheduling problem with peak demand constraint, in which the mixed integer programming formulations are provided to minimize the single objective of makespan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Compared with the methods in , the main difference of this paper is considering the impact of PM constraint and peak demand constraint. Compared with the methods in [49][50][51][52], this paper focuses on the flow shop scheduling area and treat the peak demand as a hard constraint rather than an objective. Compared with the methods in [53,54], this paper tries to save the energy consumption by turning off the idle machine and considers the fact that machines must be maintained periodically to keep a high reliability.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint

Cui

2020

Sustainability

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With the growing concern of energy shortage and environment pollution, the energy aware operation management problem has emerged as a hot topic in industrial engineering recently. An integrated model consisting of production scheduling, preventive maintenance (PM) planning, and energy controlling is established for the flow shops with the PM constraint and peak demand constraint. The machine’s on/off and the speed level selection are considered to save the energy consumption in this problem. To minimize the makespan and the total energy consumption simultaneously, a multi-objective algorithm founded on NSGA-II is designed to solve the model effectively. The key decision variables are coded into the chromosome, while the others are obtained heuristically using the proposed decoding method when evaluating the chromosome. Numerical experiments were conducted to validate the effectiveness and efficiency by comparing the proposed algorithm and the traditional rules in manufacturing plant. The impacts of constraints on the Pareto frontier are also shown when analyzing the tradeoff between two objectives, which can be used to explicitly assess the energy consumption.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint

Cui

2020

Sustainability

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“…Dababneh et al [42] proposed an analytical model on electricity demand response considering a combined manufacturing and HVAC system. The production schedule and HVAC set points were determined by solving the objective functions using General Algebraic Modelling.…”

Section: Previous Related Workmentioning

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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“…Brundage et al [108] utilized the energy opportunity window to shift production schedules around high periods of demand for the HVAC system to reduce overall energy impact of the manufacturing system. Dabahneh et al [109] presented an optimal schedule for manufacturing operation and HVAC temperature to minimize power demand while still meeting production requirements.…”

Section: Studying Phases Of the Sima Reference Architecturementioning

confidence: 99%

Analyzing environmental sustainability methods for use earlier in the product lifecycle

Brundage

Bernstein

Hoffenson

et al. 2018

Journal of Cleaner Production

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Environmental sustainability information in the manufacturing industry is not easily shared between stages in the product lifecycle. In particular, reliable manufacturing-related information for assessing the sustainability of a product is often unavailable at the design stage. Instead, designers rely on aggregated, often outdated information or make decisions by analogy (e.g., a similar manufacturing process for a similar product yielded X and Y results). However, smart manufacturing and the Internet of Things have potential to bridge the gap between design and manufacturing through data and knowledge sharing. This paper analyzes environmental sustainability assessment methods to enable more accurate decisions earlier in design. The techniques and methods are categorized based on the stage they apply to in the product lifecycle, as described by the Systems Integration of Manufacturing Applications (SIMA) reference architecture. Furthermore, opportunities for aligning standard data representation to promote sustainability assessment during design are identified.

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Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics

Cited by 31 publications

References 18 publications

A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint

A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint

Thermal modelling of manufacturing processes and HVAC systems

Analyzing environmental sustainability methods for use earlier in the product lifecycle

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