The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Paton Graeme - One of the best experts on this subject based on the ideXlab platform.
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When is a soil remediated? Comparison of biopiled and windrowed soils contaminated with Bunker-Fuel in a full-scale trial
'Elsevier BV', 2010Co-Authors: Coulon Frederic, Al, Awadi M., Cowie W., Mardlin D., Pollard, Simon J. T., Cunningham C., Risdon G., Arthur P., Semple, Kirk T., Paton GraemeAbstract:A six month field scale study was carried out to compare windrow turning and biopile techniques for the remediation of soil contaminated with Bunker C Fuel oil. End-point clean-up targets were defined by human risk assessment and ecotoxicological hazard assessment approaches. Replicate windrows and biopiles were amended with either nutrients and inocula, nutrients alone or no amendment. In addition to fractionated hydrocarbon analysis, culturable microbial characterisation and soil ecotoxicological assays were performed. This particular soil, heavy in texture and historically contaminated with Bunker Fuel was more effectively remediated by windrowing, but coarser textures may be more amendable to biopiling. This trial reveals the benefit of developing risk and hazard based approaches in defining end-point bioremediation of heavy hydrocarbons when engineered biopile or windrow are proposed as treatment option. (c) 2010 Elsevier Ltd. All rights reserved
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When is a soil remediated? Comparison of biopiled and windrowed soils contaminated with Bunker-Fuel in a full-scale trial
'Elsevier BV', 2010Co-Authors: Coulon Frederic, Semple, Kirk T., Al Awadi Mohammed, Cowie William, Mardlin David, Pollard Simon, Cunningham Colin, Risdon Graeme, Arthur Paul, Paton GraemeAbstract:A six month field scale study was carried out to compare windrow turning and biopile techniques for the remediation of soil contaminated with Bunker C Fuel oil. End-point clean-up targets were defined by human risk assessment and ecotoxicological hazard assessment approaches. Replicate windrows and biopiles were amended with either nutrients and inocula, nutrients alone or no amendment. In addition to fractionated hydrocarbon analysis, culturable microbial characterisation and soil ecotoxicological assays were performed. This particular soil, heavy in texture and historically contaminated with Bunker Fuel was more effectively remediated by windrowing, but coarser textures may be more amendable to biopiling. This trial reveals the benefit of developing risk and hazard based approaches in defining end-point bioremediation of heavy hydrocarbons when engineered biopile or windrow are proposed as treatment option. (c) 2010 Elsevier Ltd. All rights reserved
J G Singh - One of the best experts on this subject based on the ideXlab platform.
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arrow oil spill 1970 90 persistence of 20 yr weathered Bunker c Fuel oil
Canadian Journal of Fisheries and Aquatic Sciences, 1994Co-Authors: J H Vandermeulen, J G SinghAbstract:A full range of weathered petroleum residues persist in two beach sites in Chedabucto Bay, Nova Scotia, 20 yr after the ARROW Bunker C spill. Both sites contained ARROW Bunker Fuel residues (pentacyclic triterpane characterization). Residues from "tar pavement" and a tar deposit within a cobble spit retained many components of original ARROW Bunker C Fuel. Results indicate that long-term persistence is a direct function of beach sediment permeability, and of the depth to which entrapped tar residues penetrate; persistence is an inverse function of the frequency and depth of sediment reworking during tidal incursions. Cobble beaches represent an extreme example, with the interstices acting as low-energy sinks for spilled oil. A revised model for oil stranding and fate proposes two distinct environmental reservoirs of stranded oil residue in these medium-grained beaches: the interstitual residue as the major long-term source and surface-stranded residue as the minor source, each with its own weathering rate...
Qiang Meng - One of the best experts on this subject based on the ideXlab platform.
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Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data
Transportation Research Part B: Methodological, 2019Co-Authors: Qiang Meng, Shuaian Wang, Haibo KuangAbstract:In the daily operations of a shipping line, minimization of a ship's Bunker Fuel consumption over a voyage comprising a series of waypoints by adjusting its sailing speeds and trim settings plays a critical role in ship voyage management. To quantify the synergetic influence of sailing speed, displacement, trim, and weather and sea conditions on ship Fuel efficiency, we first develop a tailored method to build two artificial neural network models using ship voyage report data. We proceed to address the ship sailing speed and trim optimization problem by putting forward three viable countermeasures within an effective two-phase optimal solution framework: sailing speeds of the ship are optimized in an on-shore planning phase, whereas trim optimization is conducted dynamically by the captain in real time when she/he observes the actual weather and sea conditions at sea. In the on-shore speed optimization problem, simultaneous optimization of sailing speeds and trim settings is beneficial in suggesting more informed sailing speeds because both factors influence a ship's Fuel efficiency. In the countermeasure 3 proposed by this study, we address speed and trim optimization simultaneously by proposing a two-step global optimization algorithm that combines dynamic programming and a state-of-the-art simulation-based optimization technique. Numerical experiments with two 9000-TEU (twenty-foot equivalent unit) containerships show that (a) the proposed countermeasure 1 saves 4.96% and 5.83% of Bunker Fuel for the two ships, respectively, compared to the real situation; (b) the proposed countermeasure 2 increases the Bunker Fuel savings to 7.63% and 7.57%, respectively; and (c) the Bunker Fuel savings with Countermeasure 3 attain 8.25% on average. These remarkable Bunker Fuel savings can also translate into significant mitigation of CO2 emissions.
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Budgeting Fuel Consumption of Container Ship over Round-Trip Voyage Through Robust Optimization
Transportation Research Record, 2015Co-Authors: Qiang Meng, Yadong WangAbstract:A proposed practical Fuel budget problem aims to determine a group of Bunker Fuel budget values for a liner container ship over a round-trip voyage under uncertainties caused by severe weather conditions. According to research collaboration with a global container shipping line in Singapore, the proposed problem holds a kernel position in the ship Fuel efficiency management programs advocated by container shipping lines because of the downward pressure of soaring Bunker prices. The synergetic influence of sailing speed and weather conditions on ship Fuel consumption rate was considered when the Bunker Fuel budget of a ship over a round-trip voyage was estimated. To address the adverse random perturbation of Fuel consumption rate under severe weather conditions, state-of-the-art robust optimization techniques were employed, and a robust optimization model for the Fuel budget problem was developed. The developed model can be dualized into a mixed-integer linear programming model that may be solved by commercial optimization solvers. However, algorithmic findings in the field of robust optimization provided a polynomial time solution algorithm, and it was retrofitted to accommodate the proposed ship Fuel budget problem. The case study of an Asia–Europe service demonstrates the computational performance of the proposed solution algorithm and the competence of the proposed robust optimization model to produce Fuel budget values at different levels of conservatism possessed by the Fuel efficiency specialists in container shipping lines.
Coulon Frederic - One of the best experts on this subject based on the ideXlab platform.
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When is a soil remediated? Comparison of biopiled and windrowed soils contaminated with Bunker-Fuel in a full-scale trial
'Elsevier BV', 2010Co-Authors: Coulon Frederic, Al, Awadi M., Cowie W., Mardlin D., Pollard, Simon J. T., Cunningham C., Risdon G., Arthur P., Semple, Kirk T., Paton GraemeAbstract:A six month field scale study was carried out to compare windrow turning and biopile techniques for the remediation of soil contaminated with Bunker C Fuel oil. End-point clean-up targets were defined by human risk assessment and ecotoxicological hazard assessment approaches. Replicate windrows and biopiles were amended with either nutrients and inocula, nutrients alone or no amendment. In addition to fractionated hydrocarbon analysis, culturable microbial characterisation and soil ecotoxicological assays were performed. This particular soil, heavy in texture and historically contaminated with Bunker Fuel was more effectively remediated by windrowing, but coarser textures may be more amendable to biopiling. This trial reveals the benefit of developing risk and hazard based approaches in defining end-point bioremediation of heavy hydrocarbons when engineered biopile or windrow are proposed as treatment option. (c) 2010 Elsevier Ltd. All rights reserved
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When is a soil remediated? Comparison of biopiled and windrowed soils contaminated with Bunker-Fuel in a full-scale trial
'Elsevier BV', 2010Co-Authors: Coulon Frederic, Semple, Kirk T., Al Awadi Mohammed, Cowie William, Mardlin David, Pollard Simon, Cunningham Colin, Risdon Graeme, Arthur Paul, Paton GraemeAbstract:A six month field scale study was carried out to compare windrow turning and biopile techniques for the remediation of soil contaminated with Bunker C Fuel oil. End-point clean-up targets were defined by human risk assessment and ecotoxicological hazard assessment approaches. Replicate windrows and biopiles were amended with either nutrients and inocula, nutrients alone or no amendment. In addition to fractionated hydrocarbon analysis, culturable microbial characterisation and soil ecotoxicological assays were performed. This particular soil, heavy in texture and historically contaminated with Bunker Fuel was more effectively remediated by windrowing, but coarser textures may be more amendable to biopiling. This trial reveals the benefit of developing risk and hazard based approaches in defining end-point bioremediation of heavy hydrocarbons when engineered biopile or windrow are proposed as treatment option. (c) 2010 Elsevier Ltd. All rights reserved
Loo Hay Lee - One of the best experts on this subject based on the ideXlab platform.
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Optimal Bunkering contract in a buyer–seller supply chain under price and consumption uncertainty
Transportation Research Part E: Logistics and Transportation Review, 2015Co-Authors: Giulia Pedrielli, Loo Hay LeeAbstract:Abstract Bunker Fuel constitutes about three quarters of the operational costs for liners. A strong effort is justified to define operational conditions and management strategies to minimize Fuel-related costs, especially if the variability of Fuel price is considered. Fuel sellers and liners use contracts to be guaranteed a reFuelling quantity and control Bunker price. We propose a game theory based approach to examine and optimize the parameters of a realistic Bunkering contract. Under the proposed settings, the supplier and the buyer establish the Bunker quantity and the price to maximize the expected profit and minimize the expected reFuelling cost, respectively.
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Simulation optimization via kriging: a sequential search using expected improvement with computing budget constraints
IIE Transactions, 2013Co-Authors: Ning Quan, Jun Yin, Loo Hay LeeAbstract:Metamodels are commonly used as fast surrogates for the objective function to facilitate the optimization of simulation models. Kriging (or the Gaussian process model) is a very popular metamodel form for deterministic and, recently, stochastic simulations. This article proposes a two-stage sequential framework for the optimization of stochastic simulations with heterogeneous variances under computing budget constraints. The proposed two-stage framework is based on the kriging model and incorporates optimal computing budget allocation techniques and the expected improvement function to drive and improve the estimation of the global optimum. Empirical results indicate that it is effective in obtaining optimal solutions and is more efficient than alternative metamodel-based techniques. The framework is also applied to a complex real ocean liner Bunker Fuel management problem with promising results.
