Inventory Analysis

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The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Yusuke Kuno - One of the best experts on this subject based on the ideXlab platform.

Alex Stadel - One of the best experts on this subject based on the ideXlab platform.

  • life cycle Inventory Analysis of concrete production a critical review
    Cement & Concrete Composites, 2014
    Co-Authors: Petek A Gursel, Alex Stadel, Eric Masanet, Arpad Horvath
    Abstract:

    Abstract Concrete is one of the most widely used building materials with a global consumption rate approaching 25 gigatonnes per year. Consequentially, its environmental burden is significant in terms of resource use and environmental emissions. There is a diverse audience of decision makers and manufacturers who are interested in understanding and lowering the environmental impact of concrete and other buildings materials, which requires a life-cycle assessment (LCA) approach. A critical first step in any LCA is the compilation of a credible life-cycle Inventory (LCI), upon which subsequent life-cycle impact assessment (LCIA) can be based. This article reviews the strengths and weaknesses of concrete LCIs to date, and offers a research roadmap to improve the quality of future cement and concrete LCIs and meet the needs of major LCA users.

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

  • fuzzy data reconciliation in reacting and non reacting process data for life cycle Inventory Analysis
    Journal of Cleaner Production, 2007
    Co-Authors: Raymond R Tan, Lee Michael A Briones, Alvin B Culaba
    Abstract:

    Abstract Data uncertainty is a critical issue in life cycle Inventory Analysis (LCI). Recent work has demonstrated that fuzzy mathematics provides a computationally efficient alternative to probabilistic methods for representing data uncertainty. One specific problem is the utilization of different, and potentially conflicting, LCI data sources such as physical measurements, estimates or databases. A fundamental requirement of a valid LCI is that the data must not violate material and energy balance principles; however, data from diverse sources may result in inconsistencies. Normally such inconsistencies in LCI data can be addressed through the use of data reconciliation methods based on probability theory. This paper presents an alternative data reconciliation method based on fuzzy mathematical programming. Two LCI case studies are included to illustrate the methodology.

Valli Riipulk - One of the best experts on this subject based on the ideXlab platform.

  • An Inventory Analysis of oil shale energy produced on a small thermal power plant
    Journal of Cleaner Production, 2001
    Co-Authors: Siret Talve, Valli Riipulk
    Abstract:

    Abstract Energy produced in Estonia from oil shale is studied using the Inventory Analysis of the product life cycle assessment (LCA) method. The life cycle is taken as an oil shale mine and thermal power plant with consumer supply systems, which are close to each other and are technologically interconnected. The effectiveness of energy production over the whole life cycle is calculated and the energy and the material balances are presented. Local environmental effects of the oil shale extraction and the energy production are briefly described. The first step in defining the oil shale energy as an important input parameter for the LCA studies of all other products of Estonia is made. The collected data can serve as a basis for the environmental improvement programs.

Hiroshi Sagara - One of the best experts on this subject based on the ideXlab platform.