Publications by authors named "G Bhander"

The U.S. is the world's second-leading producer of pulp and paper products after China.

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The US pulp and paper (PNP) industry utilizes a variety of fuels to provide energy for process needs, resulting in air emissions of sulfur dioxide (SO), nitrogen oxides (NO), particulate matter (PM), and greenhouse gases such as carbon dioxide (CO). Emissions from this sector have largely declined and continue to decline steadily since the mid-1990s, reflecting changes in fuel types used and their sulfur content, fluctuation in PNP production, increase in the volume of recycling, efficiency gains throughout the sector, and capital investments for compliance with regulations. Because of the above factors, recent market trends favoring the use of natural gas over coal, and more demanding regulatory limits, it is reasonable to expect that air emissions from the sector will continue to decline in the near future.

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The waste-LCA model EASEWASTE quantifies potential environmental effects from biological treatment of organic waste, based on mass and energy flows, emissions to air, water, soil and groundwater as well as effects from upstream and downstream processes. Default technologies for composting, anaerobic digestion and combinations hereof are available in the model, but the user can change all key parameters in the biological treatment module so that specific local plants and processes can be modelled. EASEWASTE is one of the newest waste LCA models and the biological treatment module was built partly on features of earlier waste-LCA models, but offers additional facilities, more flexibility, transparency and user-friendliness.

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A model for life-cycle assessment of waste incinerators is described and applied to a case study for illustrative purposes. As life-cycle thinking becomes more integrated into waste management, quantitative tools for assessing waste management technologies are needed. The presented model is a module in the life-cycle assessment model EASEWASTE.

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Life-cycle assessment (LCA) models are becoming the principal decision support tools of waste management systems. This paper describes our experience with the use of EASEWASTE (Environmental Assessment of Solid Waste Systems and Technologies), a new computerized LCA-based model for integrated waste management. Our findings provide a quantitative understanding of waste management systems and may reveal consistent approaches to improve their environmental performances.

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