NDLI: Evaluating Supply Chain Energy Use in a Smart Grid Paradigm

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Amip, J. Shah Corrigan, Kiara
Copyright Year	2011
Abstract	A key paradigm shift resulting from the intersection of the information technology (IT) and utility sectors is the availability of real-time data regarding energy use across different industries. Historically, ascertaining the energy costs across the value chain of a given product or service was a laborious and expensive task, requiring many months of data collection; several proxies or approximations for cases where measured data might not be cost-effectively available; and even then, the resulting energy footprint could have significant uncertainty based on time-of-measurement, geographic diversity of manufacturing sites, etc. As dynamic energy pricing begins to take hold and environmental externalities begin to be priced into existing cost structures, the ability to optimize a given value chain for minimal energy use becomes increasingly attractive. In this paper, we discuss an approach for leveraging dynamically available data alongside historical n-tier supply chain models to avail the ability for such optimization. The approach is illustrated for the case study of a computer manufacturer, where we find that metering electricity use at a small subset of sites can allow for a reasonable estimate of the total energy use across the supply chain.
Sponsorship	Advanced Energy Systems Division and Solar Energy Division
Starting Page	1541
Ending Page	1551
Page Count	11
File Format	PDF
ISBN	9780791854686
DOI	10.1115/ES2011-54827
Volume Number	ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C
Conference Proceedings	ASME 2011 5th International Conference on Energy Sustainability
Language	English
Publisher Date	2011-08-07
Publisher Place	Washington, DC, USA
Access Restriction	Subscribed
Subject Keyword	Computers Energy consumption Chain Uncertainty Approximation Supply chains Data collection Smart grids Manufacturing Optimization
Content Type	Text
Resource Type	Article

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