Analytics for the Sustainable Economy Kumar Venkat CleanMetrics Corp. October 27, 2011 Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics.

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Presentation transcript:

Analytics for the Sustainable Economy Kumar Venkat CleanMetrics Corp. October 27, 2011 Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Why CleanMetrics Core competencies Life cycle assessment Broad expertise in all aspects of LCA Specific expertise in modeling agricultural systems that produce natural fibers and materials for apparel products Scope 3 GHG emissions analysis Resource efficiency How to produce the same product outputs at a lower environmental footprint and lower cost Includes waste reduction, waste diversion, material/energy substitution, process optimization, and product redesign Software/database development Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Why CleanMetrics Developed LCI data for many natural fibers and materials used in the apparel industry Cotton – conventional, organic, GMO Wool Leather Hemp Viscose/rayon Bagasse Paper – virgin, recycled Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Why CleanMetrics Also developed LCI data for synthetics: Aramid Acrylic Polyester – virgin, recycled And for some key (generic) processes used in fabric production Yarn production, weaving, knitting and other processes Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Why CleanMetrics CleanMetrics can potentially contribute Our existing LCI data and LCI development methodology Our Food LCA software as a template for an industry-specific, web-based LCA tool Resource efficiency analysis/optimization techniques Key software modules and calculation engines Overall software architecture and implementation Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Specific response to SAC white paper Excellent starting point Good problem and scope definition Agree with most of the challenges, risks and constraints Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Specific response to SAC white paper Focusing on just one risk for now: Complexity System could become unduly difficult to understand and to use effectively Related challenge: How do you keep all the data current, accurate and synchronized throughout the system? Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Specific response to SAC white paper As a general philosophy: “Simplify, simplify.” Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Specific response to SAC white paper Mitigating the complexity/usability risk: System must be usable with partial data flows Develop comprehensive, high-quality secondary LCI data for all materials and processes Example: CleanMetrics food LCI data Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.

Analytics for the Sustainable Economy Specific response to SAC white paper Secondary LCI data: Must include all significant production variations production location, production method, recycled vs. virgin, etc. High-quality secondary data is better than incomplete/inaccurate primary data Will allow companies to focus on optimizing within their boundaries while modeling the outside world using secondary data Including product redesign, process optimization, what-ifs with different input materials, etc. Copyright © 2011 by CleanMetrics Corp. All rights reserved.CleanMetrics Corp.