William Flanagan

Illustrating Anticipatory Life Cycle Assessment for Emerging Photovoltaic Technologies

Current research policy and strategy documents recommend applying life cycle assessment (LCA) early in research and development (R&D) to guide emerging technologies toward decreased environmental burden. However, existing LCA practices are ill-suited to support these recommendations. Barriers related to data availability, rapid technology change, and isolation of environmental from technical research inhibit application of LCA to developing technologies. Overcoming these challenges requires methodological advances that help identify environmental opportunities prior to large R&D investments. Such an anticipatory approach to LCA requires synthesis of social, environmental, and technical knowledge beyond the capabilities of current practices. This paper introduces a novel framework for anticipatory LCA that incorporates technology forecasting, risk research, social engagement, and comparative impact assessment, then applies this framework to photovoltaic (PV) technologies. These examples illustrate the potential for anticipatory LCA to prioritize research questions and help guide environmentally responsible innovation of emerging technologies.

Biodegradation of Trichloroethylene and Dichloromethane in Contaminated Soil and Groundwater

Soil column and serum bottle microcosm experiments were conducted to investigate the potential for in situ anaerobic bioremediation of trichloroethy lene (TCE) and dichloromethane (DCM) at the Pinellas site near Largo, Florida. Soil columns with continuous groundwater recycle were used to evaluate treatment with complex nutrients (casamino acids, methanol, lactate, sulfate); benzoate and sulfate; and methanol. The complex nutrients drove microbial dechlorination of TCE to ethene, whereas the benzoate/sulfate and methanol supported microbial dechlorination of TCE only to cis-1,2-dichloroethylene (cDCE). Microbial sulfate depletion in the benzoate/sulfate column allowed further dechlorination of cDCE to vinyl chloride. Serum bottle microcosms were used to investigate TCE dechlorination and DCM biodegradation in Pinellas soil slurries bioaugmented with liquid from the soil columns possessing TCE-dechlorinating activity and DCM biodegradation by indigenous microorganisms. Bioaugmented soil microcosms showed i...

Environmental Dimensions of Additive Manufacturing: Mapping Application Domains and Their Environmental Implications

Additive manufacturing (AM) proposes a novel paradigm for engineering design and manufacturing, which has profound economic, environmental, and security implications. The design freedom offered by this category of manufacturing processes and its ability to locally print almost each designable object will have important repercussions across society. While AM applications are progressing from rapid prototyping to the production of end-use products, the environmental dimensions and related impacts of these evolving manufacturing processes have yet to be extensively examined. Only limited quantitative data are available on how AM manufactured products compare to conventionally manufactured ones in terms of energy and material consumption, transportation costs, pollution and waste, health and safety issues, as well as other environmental impacts over their full lifetime. Reported research indicates that the specific energy of current AM systems is 1 to 2 orders of magnitude higher compared to that of conventional manufacturing processes. However, only part of the AM process taxonomy is yet documented in terms of its environmental performance, and most life cycle inventory (LCI) efforts mainly focus on energy consumption. From an environmental perspective, AM manufactured parts can be beneficial for very small batches, or in cases where AM-based redesigns offer substantial functional advantages during the product use phase (e.g., lightweight part designs and part remanufacturing). Important pending research questions include the LCI of AM feedstock production, supply-chain consequences, and health and safety issues relating to AM.

Building Organizational Capability for Life Cycle Management

Corporations are being pressured to integrate life cycle thinking and practices across global supply chains. The UNEP/SETAC Life Cycle Initiative has been developing a life cycle management capability maturity model (LCM CMM) to help mainstream life cycle assessment (LCA) and life cycle management (LCM). Pilot projects in small-to-medium-sized enterprises (SMEs) to apply the model showed the companies were able to identify and implement projects that delivered both near-term business value and developed the organizational capability for LCM. A key benefit of the life cycle approach was enhanced cross-functional integration and collaboration with suppliers and customers. The projects did identify a need for more guidance on how to interpret the business impact of environmental concerns and to align LCM efforts with company business strategy. Collaborative networks where more advanced companies can share their knowledge are a key enabler, particularly in developing economies.

Design, Use and Results from Combinatorial Steady-State Reactors for the Optimization of Highly Selective Heterogeneous Catalysts in Liquid Systems

A reactor was designed, built and successfully operated that allowed the simultaneous running of 96 independent reactions at steady-state. Since the problem involved the attainment of 98% in selectivity from a starting point of 93%, very precise reproducibility in selectivity was required. Because selectivity varies with time in a batch reactor, and since commercial reactors for this process are continuous, continuous reactors operated at steady-state were required. Longterm standard deviation in selectivity of

Integrating LCA in Business Decisions—Perspectives From GE

Customers throughout the value chain are becoming increasingly sophisticated and attuned to global environmental challenges. They are beginning to demand more sustainable products from more responsible suppliers. Decision makers throughout industry are motivated—by these customer expectations as well as their own sustainability goals, regulations and standards, market trends, and technology innovation—to find robust tools and credible approaches to demonstrate their commitment to a more sustainable economy. Ideally, life cycle thinking (LCT) approaches can be an important tool to support key organizational functions and existing tools, metrics, and workflows to more effectively realize environmental and business value. It can be most effective when integrated into product design and development at the early stages of innovation. GE’s Ecoassessment Center of Excellence has been developing and applying LCT approaches since 2008. A variety of tools, resources, and strategies have been evolved to address a variety of sustainability needs across a diverse range of products and technologies in many different business contexts. This article explores the approaches, philosophies, strategies, tools, and resources that have been identified as best practices in GE’s ongoing efforts to evolve sustainability concepts that improve the environmental performance of its products and technologies while adding value to its customers and to society.

Environmental Dimensions of Additive Manufacturing: Mapping Application Domains and Their Environmental Implications: Environmental Dimensions of Additive Manufacturing

Additive manufacturing (AM) proposes a novel paradigm for engineering design and manufacturing, which has profound economic, environmental, and security implications. The design freedom offered by this category of manufacturing processes and its ability to locally print almost each designable object will have important repercussions across society. While AM applications are progressing from rapid prototyping to the production of end-use products, the environmental dimensions and related impacts of these evolving manufacturing processes have yet to be extensively examined. Only limited quantitative data are available on how AM manufactured products compare to conventionally manufactured ones in terms of energy and material consumption, transportation costs, pollution and waste, health and safety issues, as well as other environmental impacts over their full lifetime. Reported research indicates that the specific energy of current AM systems is 1 to 2 orders of magnitude higher compared to that of conventional manufacturing processes. However, only part of the AM process taxonomy is yet documented in terms of its environmental performance, and most life cycle inventory (LCI) efforts mainly focus on energy consumption. From an environmental perspective, AM manufactured parts can be beneficial for very small batches, or in cases where AM-based redesigns offer substantial functional advantages during the product use phase (e.g., lightweight part designs and part remanufacturing). Important pending research questions include the LCI of AM feedstock production, supply-chain consequences, and health and safety issues relating to AM.

High-Throughput Adhesion Evaluation and Scale-up of Combinatorial Leads of Organic Protective Coatings

Coupling of combinatorial chemistry methods with high-throughput (HT) performance testing and measurements of resulting properties has provided a powerful set of tools for the 10-fold accelerated discovery of new high-performance coating materials for automotive applications. This approach replaces labor-intensive steps with automated systems for evaluation of adhesion of 8 × 6 arrays of coating elements that are discretely deposited on a single 9 × 12 cm plastic substrate. Performance of coatings is evaluated with respect to their resistance to adhesion loss. This parameter is one primary consideration in end-use automotive applications. Coating leads identified from the HT screening have been validated on the traditional scale. Details of these validation studies are discussed.