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Michael Wang - One of the best experts on this subject based on the ideXlab platform.

  • Correction to: Globally regional Life Cycle Analysis of automotive lithium-ion nickel manganese cobalt batteries
    Mitigation and Adaptation Strategies for Global Change, 2020
    Co-Authors: Jarod C. Kelly, Michael Wang
    Abstract:

    The article Globally regional Life Cycle Analysis of automotive lithium-ion nickel manganese cobalt batteries written by Jarod C. Kelly, Qiang Dai and Michael Wang, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on August 28, 2019, without open access.

  • Life Cycle Analysis of waste-to-energy pathways
    Waste-to-Energy, 2020
    Co-Authors: Uisung Lee, Pahola T. Benavides, Michael Wang
    Abstract:

    Abstract Life-Cycle Analysis (LCA) is a method that evaluates the environmental impacts of various pathways such as Life-Cycle greenhouse gas (GHG) emissions, energy use, and water consumption along the supply chain. In this chapter, we discuss how LCA can be used to examine the waste-to-energy (WTE) technologies. We introduce three major WTE feedstocks (organic waste, waste plastics, and waste gas) for energy production and corresponding conversion technologies such as anaerobic digestion, combustion, hydrothermal liquefaction, pyrolysis, and gas fermentation. Besides, major LCA parameters are discussed. The results show that emissions from current waste management (business-as-usual [BAU]) significantly influence the LCA results, and careful examination is needed due to the huge variations and uncertainties in the BAU cases. WTE practices can change waste into resources, which generates additional energy products while providing environmental benefits such as reductions in Life Cycle GHG emissions.

  • Biofuel Life-Cycle Analysis
    Handbook of Bioenergy Economics and Policy: Volume II, 2017
    Co-Authors: Jennifer B. Dunn, Jeongwoo Han, Joaquim E. A. Seabra, Michael Wang
    Abstract:

    Life-Cycle Analysis (LCA) is an important tool used to assess the energy and environmental impacts of biofuels. Here, we review biofuel LCA methodology and its application in transportation fuel regulations in the United States, the European Union, and the United Kingdom. We examine the application of LCA to the production of ethanol from corn, sugarcane, corn stover, switchgrass, and miscanthus. A discussion of methodological choices such as co-product handling techniques in biofuel LCA is also provided. Further, we discuss the estimation of greenhouse gas (GHG) emissions of land use changes (LUC) potentially caused by biofuels, which can significantly influence LCA results. Finally, we provide results from LCAs of ethanol from various sources. Regardless of feedstock, bioethanol offers reduced GHG emissions over fossil-derived gasoline, even when LUC GHG emissions are included. This is mainly caused by displacement of fossil carbon in gasoline with biogenic carbon in ethanol. Of the ethanol pathways examined, corn ethanol has the greatest Life-Cycle GHG emissions and offers 30% reduction in Life-Cycle GHG emissions as compared to gasoline when LUC GHG emissions are included. Miscanthus ethanol demonstrates the highest Life-Cycle GHG emissions reductions compared to gasoline, 109%, when LUC GHG emissions are included.

  • Life-Cycle Analysis of Biofuels
    Plant Biotechnology for Sustainable Production of Energy and Co-products, 2010
    Co-Authors: Michael Wang
    Abstract:

    Biofuels are being promoted for their energy and greenhouse gas (GHG) reduction benefits. In general, they can be produced regionally and locally to provide fuels for motor vehicle use, thus reducing reliance on imported petroleum for many countries. Since the carbon in biofuels is taken from the air during biomass growth, biofuels can potentially reduce GHG emissions. It is well recognized that the Life Cycle of biofuel production and utilization is associated with fossil energy use and GHG emissions. Life-Cycle Analysis (LCA) of biofuels has become an integral part of a thorough evaluation of the energy and environmental effects of biofuels. While LCA results of biofuels have generally shown the energy and GHG benefits of biofuels relative to petroleum fuels, the magnitude of these benefits is determined by the types of feedstocks and production technologies used. In addition, LCA results are influenced heavily by decisions regarding the system boundary of a given Analysis and the method of dealing with co-products of biofuels, among many other factors.

Han Gyun Woo - One of the best experts on this subject based on the ideXlab platform.

  • Stochastic technology Life Cycle Analysis using multiple patent indicators
    Technological Forecasting and Social Change, 2016
    Co-Authors: Changyong Lee, Juram Kim, Ohjin Kwon, Han Gyun Woo
    Abstract:

    Technology Life Cycle Analysis plays a crucial role in setting up investment-related strategies. The dominant approach to technology Life Cycle Analysis utilizes curve fitting techniques to observe technological performance over time. However, doubts have been expressed about the accuracy and reliability of this method, due to its use of single indicators and the necessity of making assumptions about pre-determined growth curves. As a remedy, we propose a stochastic technology Life Cycle Analysis that uses multiple patent indicators to examine a technology's progression through its Life Cycle. We define and extract seven time-series patent indicators from the United States Patent and Trademark Office database, and employ a hidden Markov model-which is an unsupervised machine learning technique based on a doubly stochastic process-to estimate the probability of a technology being at a certain stage of its Life Cycle. Based on this model, this paper also investigates patterns of technology Life Cycles, future prospects of a technology's progression, and characteristics of patent indicators between technology Life Cycle stages. The systematic process and quantitative outcomes the proposed approach offers can facilitate responsive and objective technology Life Cycle Analysis. A case of molecular amplification diagnosis technology is presented.

Kaiji Chen - One of the best experts on this subject based on the ideXlab platform.

  • A Life-Cycle Analysis of social security with housing☆
    Review of Economic Dynamics, 2010
    Co-Authors: Kaiji Chen
    Abstract:

    This paper incorporates two features of housing in a Life-Cycle Analysis of social security: housing as a durable good and housing market frictions. We find that both housing quantities and homeownership rates respond strongly to eliminating social security. Accordingly, the aggregate impacts of this policy reform are significantly larger in an economy with explicit housing choices than in a standard Life-Cycle economy. Our Analysis shows that the key mechanism behind these results is the substitution effects of a change in interest rates and, thus, the price of housing services on the choice of non-durable consumption versus housing services. (Copyright: Elsevier)

  • A Life-Cycle Analysis of social security with housing
    Review of Economic Dynamics, 2010
    Co-Authors: Kaiji Chen
    Abstract:

    This paper incorporates two features of housing in a Life-Cycle Analysis of social security: housing as a durable good and housing market frictions. We find that both housing quantities and homeownership rates respond strongly to eliminating social security. Accordingly, the aggregate impacts of this policy reform are significantly larger in an economy with explicit housing choices than in a standard Life-Cycle economy. Our Analysis shows that the key mechanism behind these results is the substitution effects of a change in interest rates and, thus, the price of housing services on the choice of non-durable consumption versus housing services. (Copyright: Elsevier)Durable goods; Housing market frictions; Housing tenure choice; Social security

  • A Life-Cycle Analysis of Social Security with Housing
    SSRN Electronic Journal, 2009
    Co-Authors: Kaiji Chen
    Abstract:

    This paper incorporates two features of housing in a Life-Cycle Analysis of social security: housing as a durable good and housing market frictions. We find that with housing as a durable good unfunded social security substantially crowds out housing consumption throughout the Life Cycle. By contrast, aggregate non-durable consumption is higher when social security is present, although it is postponed until late in Life. Moreover, in the presence of housing market frictions, social security lowers the aggregate home ownership rate and reduces the average size of owner-occupied housing. The effects of social security on housing position, furthermore, exhibit substantial heterogeneity across households of different income levels.

B. Sørensen - One of the best experts on this subject based on the ideXlab platform.

Bruno Heintz - One of the best experts on this subject based on the ideXlab platform.

  • Some requirements of an interactive software tool for Life Cycle Analysis
    Journal of Cleaner Production, 1993
    Co-Authors: Pierre-françois Baisnée, Bruno Heintz
    Abstract:

    This paper briefly presents the current practice for carrying out Life Cycle inventories, and mentions some advantages and drawbacks of a few dedicated software tools that are commercially available. A list is presented of some features that we think should be present in an ‘ideal’ Life Cycle Analysis (LCA) software tool, after the specifications made at Ecobilan for the development of a specific tool for LCA. Some consideration is given to the technical difficulties involved, and the benefits that could be expected from the implementation of such features.