The Experts below are selected from a list of 29382 Experts worldwide ranked by ideXlab platform

Sadeka Abdel Shakour - One of the best experts on this subject based on the ideXlab platform.

  • realizing the Environmental impact of soft materials criteria for utilization and design specification
    Materials & Design, 2013
    Co-Authors: Mohamad T Araji, Sadeka Abdel Shakour
    Abstract:

    Abstract Sustainable soft materials in design applications should aim to have less resources depletion and pollution, plus inevitably less toxicity for the entire ecosystem. The outcome would result in Environmental benefits, particularly with the production, specification and usage of proper materials. For this purpose, the paper conducted a survey among manufactures, designers and end-users to explore the concerns related to the inconsequential consideration of Environmental factors associated with the extraction, processing, fabrication, and selection process of soft materials. Four criteria, including aesthetical, functional, economical, and Environmental, were examined based on a comprehensive set of 33 governing factors. The analysis concludes criteria response rates that capture the intensity of the respondents experience using a three-point Likert scale. Analysis of Variance (ANOVA) was further considered to determine differences and interaction between independent and dependent variables. Results show that the main effect for criteria is not significant, but there are mean differences in consideration of criteria when respondents are evaluating factors based on the rating scale. Overall, the interaction variation and plots highlight the statistically significant differences between criteria. The Environmental Criterion is of marginal importance to all populations.

Carlos A Cardona - One of the best experts on this subject based on the ideXlab platform.

  • conceptual design of cost effective and Environmentally friendly configurations for fuel ethanol production from sugarcane by knowledge based process synthesis
    Bioresource Technology, 2012
    Co-Authors: Oscar J Sanchez, Carlos A Cardona
    Abstract:

    In this work, the hierarchical decomposition methodology was used to conceptually design the production of fuel ethanol from sugarcane. The decomposition of the process into six levels of analysis was carried out. Several options of technological configurations were assessed in each level considering economic and Environmental criteria. The most promising alternatives were chosen rejecting the ones with a least favorable performance. Aspen Plus was employed for simulation of each one of the technological configurations studied. Aspen Icarus was used for economic evaluation of each configuration, and WAR algorithm was utilized for calculation of the Environmental Criterion. The results obtained showed that the most suitable synthesized flowsheet involves the continuous cultivation of Zymomonas mobilis with cane juice as substrate and including cell recycling and the ethanol dehydration by molecular sieves. The proposed strategy demonstrated to be a powerful tool for conceptual design of biotechnological processes considering both techno-economic and Environmental indicators.

Emin Acikkalp - One of the best experts on this subject based on the ideXlab platform.

  • performance analysis of irreversible solid oxide fuel cell brayton heat engine with ecological based thermo Environmental Criterion
    Energy Conversion and Management, 2017
    Co-Authors: Emin Acikkalp
    Abstract:

    Abstract An irreversible hybrid solid oxide fuel cell (SOFC)-Brayton heat engine system is taken into account in this study. Ecological based thermoEnvironmental function is considered to assess the performance of the system as well as the power, exergy destruction, energy and exergy efficiencies. This function enables someone to determine Environmental impact of any thermal cycle. Optimum operating conditions for all investigated parameters are obtained. Results are presented numerically and discussed. Some important results are; maximum power density of the hybrid system is 15260.9 (W m−2) at i = 17,000 (A m−2), maximum energy efficiency of the hybrid system is 0.841 at i = 7200 (A m−2), exergy efficiency of the hybrid system is 0.676 at i = 5200 (A m−2) and ecological based thermoEnvironmental function density of the hybrid system reaches maximum value at i = 5800 (A m−2) and it is equal to 0.00603 (W m pts−1 m2). Finally, Environmental friendly and efficient operation conditions, if ≤ i ≤ iP, is suggested for the hybrid system.

Mahmoud M Elhalwagi - One of the best experts on this subject based on the ideXlab platform.

  • optimization of pathways for biorefineries involving the selection of feedstocks products and processing steps
    Industrial & Engineering Chemistry Research, 2013
    Co-Authors: Pascual Eduardo Murilloalvarado, Jose Maria Ponceortega, Medardo Sernagonzalez, Agustin Jaime Castromontoya, Mahmoud M Elhalwagi
    Abstract:

    This paper presents a systematic approach to identify the optimal pathway configurations of a biorefinery while incorporating technical, economic, and Environmental objectives. This problem is formulated as a generalized disjunctive programming model which accounts for the simultaneous selection of products, feedstocks, and processing steps. The optimal solution can involve multiproduct and multifeedstock biorefineries. The optimization model takes into account two potentially conflicting objectives, the maximization of the net profit and the minimization of the greenhouse gas emissions, while considering the number of processing steps. The Environmental Criterion is measured using the life cycle assessment methodology. The e-constraint method is used to determine the Pareto curves of this multiobjective optimization problem and to show the trade-offs between the competing objectives. A case study is presented to illustrate the applicability of the proposed methodology for the optimal selection of the bio...

Angus R Simpson - One of the best experts on this subject based on the ideXlab platform.

  • genetic algorithm optimisation of water distribution systems accounting for greenhouse gas emissions
    9th National Conference on Hydraulics in Water Engineering: Hydraulics 2008, 2008
    Co-Authors: Holger R Maier, Angus R Simpson
    Abstract:

    The optimisation of water distribution systems (WDSs) has been a focus for civil and Environmental engineers for over 30 years. In previous research, attention has mainly been given to the minimisation of the cost of the networks, due to the high expenditure associated with the construction and maintenance of WDSs. However, the impacts of WDSs on the environment usually have not been considered adequately. The study described in this paper extends previous research by incorporating into the optimisation of WDSs the Environmental Criterion of minimising greenhouse gas (GHG) emissions as a second objective. A multi-objective genetic algorithm has been developed to solve this problem. The impacts of minimising GHG emissions on the results of WDS optimisation have been explored for a case study. The results indicate that the inclusion of GHG emission minimisation as one of the objectives results in significant tradeoffs between economic and Environmental objectives. Furthermore, a sensitivity test has been conducted by using different discount rates in present value analysis for computing total cost and GHG emissions. The results obtained show that the Paretooptimal front is very sensitive to the discount rates used. As a result, the selection of discount rates has a significant impact on final decision making.