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A ‘Design for Energy Minimization’ approach to reduce energy consumption during the manufacturing phase

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  • Seow, Yingying
  • Goffin, Nicholas
  • Rahimifard, Shahin
  • Woolley, Elliot

Abstract

The combustion of fossil fuels for energy generation has contributed considerably to the effects of climate change. In order to reduce fossil fuel consumption, designers are increasingly seeking to reduce the energy consumption of products over their life cycle. To achieve a significant reduction in energy consumption, it is essential that energy considerations are incorporated within the design phase of a product, since the majority a product's environmental impact is determined during this phase. This work proposes a new ‘Design for Energy Minimization’ (DfEM) approach, which is intended to provide increased transparency with respect to the energy consumed during manufacture in order to help inform design decisions. An energy simulation model based on this approach is then presented to aid designers during the design phase. The application of this novel design tool is demonstrated in two cases: That of a simple product (designed by a single Original Equipment Manufacturer (OEM) through a centralized approach); and a complex product (designed by a number of designers within a supply chain using a distributed approach). The subsequent benefits to energy minimization are then discussed and conclusions drawn.

Suggested Citation

  • Seow, Yingying & Goffin, Nicholas & Rahimifard, Shahin & Woolley, Elliot, 2016. "A ‘Design for Energy Minimization’ approach to reduce energy consumption during the manufacturing phase," Energy, Elsevier, vol. 109(C), pages 894-905.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:894-905
    DOI: 10.1016/j.energy.2016.05.099
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    References listed on IDEAS

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    1. Mayyas, Ahmad T. & Qattawi, Ala & Mayyas, Abdel Raouf & Omar, Mohammed A., 2012. "Life cycle assessment-based selection for a sustainable lightweight body-in-white design," Energy, Elsevier, vol. 39(1), pages 412-425.
    2. James V. Camahan & Deborah L. Thurston, 1998. "Trade‐off Modeling for Product and Manufacturing Process Design for the Environment," Journal of Industrial Ecology, Yale University, vol. 2(1), pages 79-92, January.
    3. Speirs, Jamie & McGlade, Christophe & Slade, Raphael, 2015. "Uncertainty in the availability of natural resources: Fossil fuels, critical metals and biomass," Energy Policy, Elsevier, vol. 87(C), pages 654-664.
    4. Peng, Jinqing & Lu, Lin & Yang, Hongxing, 2013. "Review on life cycle assessment of energy payback and greenhouse gas emission of solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 255-274.
    5. Manassaldi, Juan I. & Arias, Ana M. & Scenna, Nicolás J. & Mussati, Miguel C. & Mussati, Sergio F., 2016. "A discrete and continuous mathematical model for the optimal synthesis and design of dual pressure heat recovery steam generators coupled to two steam turbines," Energy, Elsevier, vol. 103(C), pages 807-823.
    6. Evins, Ralph, 2015. "Multi-level optimization of building design, energy system sizing and operation," Energy, Elsevier, vol. 90(P2), pages 1775-1789.
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    8. Hu, Luoke & Peng, Chen & Evans, Steve & Peng, Tao & Liu, Ying & Tang, Renzhong & Tiwari, Ashutosh, 2017. "Minimising the machining energy consumption of a machine tool by sequencing the features of a part," Energy, Elsevier, vol. 121(C), pages 292-305.
    9. Garwood, Tom Lloyd & Hughes, Ben Richard & Oates, Michael R. & O’Connor, Dominic & Hughes, Ruby, 2018. "A review of energy simulation tools for the manufacturing sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 895-911.
    10. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    11. Liu, Peiji & Liu, Fei & Qiu, Hang, 2017. "A novel approach for acquiring the real-time energy efficiency of machine tools," Energy, Elsevier, vol. 121(C), pages 524-532.
    12. Iqbal, Asif & Al-Ghamdi, Khalid A., 2018. "Energy-efficient cellular manufacturing system: Eco-friendly revamping of machine shop configuration," Energy, Elsevier, vol. 163(C), pages 863-872.
    13. David Borge-Diez & Pedro Miguel Ortega-Cabezas & Antonio Colmenar-Santos & Jorge-Juan Blanes-Peiró, 2020. "Contribution of Driving Efficiency and Vehicle-to-Grid to Eco-Design," Energies, MDPI, vol. 13(15), pages 1-29, August.
    14. Guo, Yansong & Duflou, Joost R. & Deng, Yelin & Lauwers, Bert, 2018. "A life cycle energy analysis integrated process planning approach to foster the sustainability of discrete part manufacturing," Energy, Elsevier, vol. 153(C), pages 604-617.
    15. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
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