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Dive into the research topics where Norman Sammons is active.

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Featured researches published by Norman Sammons.


Computer-aided chemical engineering | 2009

A Systematic Approach to Determine Economic Potential and Environmental Impact of Biorefineries

Norman Sammons; Wei Yuan; Susilpa Bommareddy; Mario R. Eden; Burak Aksoy; Harry Cullinan

Abstract The integrated biorefinery has the potential to provide a strong, self-dependent alternative to the use of fossil fuels for the production of chemicals and energy, but difficulties arise in measuring the potential economic and environmental benefit of the biorefinery. A myriad of products and production pathways are possible in this growing field of biorefining, and the production path with maximum value and minimum environmental impact cannot be determined on heuristics alone. A framework is needed to determine the most optimal route based on measures of economic and environmental performance. Gross profit and net present value are used as economic metrics in the short term and long term respectively, and environmental impact is measured using the WAR algorithm developed by Young and Cabezas [1999]. Top candidates in economic and environmental performance are then subject to process integration techniques in order to minimize mass and energy usage, and these integrated biorefineries are once again analyzed for optimal performance.


Computer-aided chemical engineering | 2009

A Systematic Framework to Calculate Economic Value and Environmental Impact of Biorefining Technology

Norman Sammons; Wei Yuan; Susilpa Bommareddy; Mario R. Eden; Burak Aksoy; Harry Cullinan

Abstract The integrated biorefinery has the potential to provide a strong, self-dependent, and sustainable alternative to the use of fossil fuels for the production of chemicals and energy, but difficulties arise in measuring the potential economic benefit and environmental impact of current and emerging biorefinery technology. A plethora of products and production pathways are possible in this growing field of biorefining, and the production path with maximum value and minimum environmental impact cannot be determined by heuristics alone. A framework is needed to determine the most optimal route based on measures of economic and environmental performance. Gross profit is used as a short-term economic metric requiring few details, while net present value is used as a long-term metric that requires information about rate of return, regulatory and market possibilities, and hedging options. Environmental impact is evaluated using the US-EPA WAR algorithm developed by Young and Cabezas (1999). The best candidates in economic and environmental performance are then subject to process integration techniques in order to maximize resource usage, and these integrated biorefineries are once again analyzed for optimal performance.


Chemical Engineering Research & Design | 2008

Optimal biorefinery product allocation by combining process and economic modeling

Norman Sammons; Wei Yuan; Mario R. Eden; B. Aksoy; H.T. Cullinan


Industrial & Engineering Chemistry Research | 2011

Fuzzy Optimization Approach for the Synthesis of a Sustainable Integrated Biorefinery

Douglas H.S. Tay; Denny K.S. Ng; Norman Sammons; Mario R. Eden


Environmental Progress | 2007

A flexible framework for optimal biorefinery product allocation

Norman Sammons; Mario R. Eden; Wei Yuan; Harry Cullinan; Burak Aksoy


Environmental Progress | 2011

Woody biomass and mill waste utilization opportunities in Alabama: Transportation cost minimization, optimum facility location, economic feasibility, and impact

Burak Aksoy; Harry Cullinan; David Webster; Kevin R. Gue; Sujith Sukumaran; Mario R. Eden; Norman Sammons


Environmental Progress | 2008

Identification of optimal poultry litter biorefinery location in Alabama through minimization of feedstock transportation cost

Burak Aksoy; Harry Cullinan; Norman Sammons; Mario R. Eden


Industrial & Engineering Chemistry Research | 2011

Disjunctive-Genetic Programming Approach to Synthesis of Process Networks

Andrew Odjo; Norman Sammons; Wei Yuan; A. Marcilla; Mario R. Eden; José A. Caballero


Archive | 2009

Process Optimization Using a Hybrid Disjunctive-Genetic Programming Approach

Wei Yuan; Andrew Odjo; Norman Sammons; José A. Caballero; Mario R. Eden

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Andrew Odjo

University of Alicante

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