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University of Texas at Austin An Industrial Ecology: Material Flows and Engineering Design David Allen Center for Energy and Environmental Resources and.

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Presentation on theme: "University of Texas at Austin An Industrial Ecology: Material Flows and Engineering Design David Allen Center for Energy and Environmental Resources and."— Presentation transcript:

1 University of Texas at Austin An Industrial Ecology: Material Flows and Engineering Design David Allen Center for Energy and Environmental Resources and Department of Chemical Engineering The University of Texas at Austin

2 University of Texas at Austin Industrial Ecology: What Is It? l A metaphor, emphasizing the need to design industrial systems that mimic the mass conservation and material cycling properties of natural ecosystems l A new set of business partnerships and systems that create synergies in supply chains l A set of design tools to identify and optimize synergies and sets of environmental performance measures that can be used to assess performance l The science of sustainability?

3 University of Texas at Austin Wastes, emissions Raw materials, Industrial Material Products energy Processing An Industrial Ecology?

4 University of Texas at Austin Industrial Ecology Factoids l In most advanced economies, flows of materials are of order of 50 kg/person/day l Most of these materials are used once, then discarded l The value of these energy and material flows are enormous, so firms and individuals with the tools to identify valuable flows of resources will have significant competitive advantages

5 University of Texas at Austin What are the tools of Industrial Ecology? l Life Cycle Assessments l Material and energy flow analyses at a variety of spatial scales and focusing on individual processes, industrial sectors and entire economies l Tools for measuring environmental performance l Design tools for improving environmental performance

6 University of Texas at Austin Material flows at multiple scales l Total material flows at national scales l Flows of specific materials at national scales l Flows of materials in industrial sectors (chemical process industries) l Flows of materials in an integrated network of facilities (a network for end- of-life electronic products)

7 University of Texas at Austin Material flow accounts at national scales U.S. National Research Council, “Materials Count”, National Academy Press, 2003

8 University of Texas at Austin Examples of entries in a material flow account l Flow of copper into the domestic economy (e.g., from a domestic copper mine) or through imports (e.g., from Chile) l Related hidden or indirect flows (e.g., overburden removed during mining and the waste portion of copper ore) and emissions (e.g., to air, from mine roadways, mill operations, refining) l Stock of products (e.g., autos), without distinguishing the products; and l Flows out of the economy as exports (e.g., in the form of finished products containing copper).

9 University of Texas at Austin Hidden flows

10 University of Texas at Austin Broad-based characterization of material flows Fuels Minerals Biomass

11 University of Texas at Austin Broad-based characterization of material flows

12 University of Texas at Austin What is this stuff?

13 University of Texas at Austin Summary of bulk flows of materials at national scales l Hidden flows are significant l Small stock accumulation l A one-pass system where most material is discharged to air or water l Some country to country differences

14 University of Texas at Austin Wastes, emissions Raw materials, Industrial Material Products energy Processing Why should we care about national material flows? Use wastes as raw materials? ?

15 University of Texas at Austin Should we mine waste streams? Flows of metals in hazardous wastes in the US l 12 billion tons (wet basis) of industrial waste is generated annually in the United States l Annual production of the top 50 commodity chemicals in the United States is 0.3 billion tons l Annual output of U.S. refineries is 0.7 billion tons

16 University of Texas at Austin Industrial Hazardous Waste l 0.25 - 0.75 billion tons/year l 75 - 90% from chemical manufacturing l Much of the rest from petroleum refining

17 University of Texas at Austin Hazardous waste flow mapping

18 University of Texas at Austin Should we mine waste streams? Consider the Sherwood diagram: value vs. dilution

19 University of Texas at Austin An economic opportunity?

20 University of Texas at Austin Material flows at multiple scales l Total material flows at national scales l Flows of specific materials at national scales l Flows of materials in industrial sectors (chemical process industries) l Flows of materials in an integrated network of facilities (a network for end- of-life electronic products)

21 University of Texas at Austin A more detailed look at the structure of material flows Metal case studies

22 University of Texas at Austin Why metals? l Easy to track l Relatively simple chemistry and processing l Significant in both material displaced and environmental consequences l Advanced Recycling structures l Interesting interactions

23 University of Texas at Austin Mercury A new opportunity for using material flow analyses?

24 University of Texas at Austin Why examine mercury (Hg)?

25 University of Texas at Austin Mercury use l Industrial uses of mercury continue to decrease, so any material flow analysis is a snapshot that may change

26 University of Texas at Austin Mercury case study l Emissions from coal fired power plants dominate the nation’s total emissions based on reported emission inventories

27 University of Texas at Austin Environmental forecasting: Mercury case study l What emissions should be controlled? l Regional case study for the New York Harbor/Hudson River drainage

28 University of Texas at Austin Environmental forecasting: Mercury case study l Is the mercury loading in the harbor coming from air, wastewater, or seepage from landfills?

29 University of Texas at Austin Environmental forecasting: Mercury case study What are the major sources?

30 University of Texas at Austin Environmental forecasting: Mercury case study l What are the policy implications of this material flow analysis? l Are the findings for the New York Harbor likely to be replicated in other parts of the world?

31 University of Texas at Austin Metal case studies l Lead Does lead in solder in electronic products pose a significant risk? l Cadmium Should cadmium in batteries be phased out? l Arsenic What do we do with accumulating stocks of CCA (pressure) treated lumber? l Silver Where did the silver in San Francisco Bay come from? l Mercury Will controlling mercury from power plant emissions significantly lower exposures?

32 University of Texas at Austin Material flows at multiple scales l Total material flows at national scales l Flows of specific materials at national scales l Flows of materials in industrial sectors (chemical process industries) l Flows of materials in an integrated network of facilities (a network for end- of-life electronic products)

33 University of Texas at Austin Many technology mixes are possible for a fixed set of raw materials and products

34 University of Texas at Austin Input-output structure of the industry l Define how processes are interconnected l Note that multiple pathways exist for getting from inputs to end products l Optimize structure at a systems level

35 University of Texas at Austin Formulate as a mathematical programming problem l Each technology has energy and mass input requirements l Each has a different set of environmental performance indices l Consider the performance indices of cost and toxicity of chemicals used (as measured by TLV)

36 University of Texas at Austin Select a set of technologies that minimize cost, or a set that minimizes toxicity of intermediates

37 University of Texas at Austin Identify the sources of residual toxicity; these are candidates for alternative reaction pathways

38 University of Texas at Austin Material flows at multiple scales l Total material flows at national scales l Flows of specific materials at national scales l Flows of materials in industrial sectors (chemical process industries) l Flows of materials in an integrated network of facilities (a network for end- of-life electronic products)

39 University of Texas at Austin RIP IBM 360 1965 - 1985 End-of-Life Electronics A cash cow? Or an economic burden? RIP IBM 360 1965 - 1985 RIP IBM 360 1965 - 1985 RIP IBM 360 1965 - 1985

40 University of Texas at Austin Expected Mass Flow l 3 to 4 billions pounds per year »Steady state »By 2010 l 4 to 5 billion pounds per year »Older units coming out of storage »Estimate peak between 2005 and 2008

41 University of Texas at Austin Electronics Recycling – 1980s l Typical system being retired had the following characteristics »10 years old »Large units (50 lbs or more), large pieces »Steel, unpainted, mechanical attachments »Gold or aluminum wire bonds, gold backed chips, high base and precious metal content on boards »CRTs a small portion by weight and quantity »Peripherals not common l Market for new electronics »Unsaturated in US, virtually non-existent in developing countries

42 University of Texas at Austin Electronics Recycling – 1990s l Typical system being retired had the following characteristics »5 years old »30-50 lb units, moderately sized pieces »50% steel, some painted, mixture of mechanical attachments and adhesives »Wire-bonded (Al, some Au) and surface mount (Sn/Pb) chips, moderate base and precious metal content on boards »CRTs approaching half by weight and quantity »Peripherals somewhat common l Market for new electronics »Partially saturated in US, unsaturated in developing countries »Moderate cost per function

43 University of Texas at Austin Electronics Recycling – 2000s l Typical system being retired had the following characteristics »2-3 years old »10-30 lb units, numerous small pieces »10% steel, many painted, significant use of permanent attachments and adhesives »Surface mount chips, moderate base and precious metal content on boards »CRTs approaching half by weight and quantity »Peripherals somewhat common l Market for new electronics »Highly saturated in US, developing countries prefer new »Low cost per function

44 University of Texas at Austin Based on 2005 mind set l Focus solely on material recovery l Optimize for minimal labor and storage and for maximum purity of material streams l Assume existing product flows and material price structures l Assume existing separation and sort technology

45 University of Texas at Austin The Concept Thermoplastic Base/Precious metals Glass Steel Aluminum

46 University of Texas at Austin EOL Electronics Product ResaleMaterial Separation and Recovery Materials from off-site Off-site purification and use Disposition Center LandfillCompost On-site material purification Plastics Compounder Materials from off-site Off-site plastics compounder Injection Molder Off-site injection molder Molded ETP parts EIP Boundaries Preferred w/in EIP flow Prescribed cross boundary flow Optional cross boundary flow Power from methane

47 University of Texas at Austin Material flows at multiple scales l Total material flows at national scales l Flows of specific materials at national scales l Flows of materials in industrial sectors (chemical process industries) l Flows of materials in an integrated network of facilities (a network for end- of-life electronic products)

48 University of Texas at Austin Wastes, emissions Raw materials, Industrial Material Products energy Processing An Industrial Ecology?

49 University of Texas at Austin

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