The Experts below are selected from a list of 243330 Experts worldwide ranked by ideXlab platform
Farid Chemat - One of the best experts on this subject based on the ideXlab platform.
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Ultrasound induced green solvent extraction of oil from oleaginous seeds
Ultrasonics Sonochemistry, 2016Co-Authors: Anne Gaëlle Sicaire, Sylvain Tostain, Maryline Abert Vian, Frédéric Fine, Patrick Carre, Farid ChematAbstract:Ultrasound-assisted extraction of rapeseed oil was investigated and compared with conventional extraction for energy efficiency, throughput time, extraction yield, cleanness, Processing Cost and product quality. A multivariate study enabled us to define optimal parameters (7.7 W/cm2 for ultrasonic power intensity, 40 °C for Processing temperature, and a solid/liquid ratio of 1/15) for ultrasound-assisted extraction of oil from oilseeds to maximize lipid yield while reducing solvent consumption and extraction time using response surface methodology (RSM) with a three-variable central composite design (CCD). A significant difference in oil quality was noted under the conditions of the initial ultrasound extraction, which was later avoided using ultrasound in the absence of oxygen. Three concepts of multistage cross-current extraction were investigated and compared: conventional multistage maceration, ultrasound-assisted maceration and a combination, to assess the positive impact of using ultrasound on the seed oil extraction process. The study concludes that ultrasound-assisted extraction of oil is likely to reduce both economic and ecological impacts of the process in the fat and oil industry.
Hu Yang - One of the best experts on this subject based on the ideXlab platform.
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coagulation flocculation in dewatering of sludge a review
Water Research, 2018Co-Authors: Hua Wei, Boqiang Gao, Jie Ren, Hu YangAbstract:Abstract Sludge disposal is an integral part of wastewater treatment systems, and its Cost usually accounts for more than half of the total operation Cost. Sludge disposal technology is facing challenges and opportunities simultaneously and can still be improved. Sludge dewatering is an essential process in sludge disposal, and it is important for the effective reduction of the final Processing Cost. Coagulation/flocculation is a relatively mature, Cost-effective, user-friendly sludge dewatering technology. In this work, coagulation/flocculation and their combinations with other pretreatments, including dewatering mechanisms, are reviewed. Various coagulants/flocculants used in sludge dewatering, including inorganic coagulants, organic synthetic and natural polymeric flocculants, and bioflocculants, are introduced in detail because coagulants/flocculants are the key in coagulation/flocculation. The different factors that influence the dewatering performance of these coagulants/flocculants are also presented briefly. Moreover, aiming at the complicated composition of sludge and its treatment difficulty, the prospects and technical developments of coagulation/flocculation in sludge dewatering are discussed.
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Coagulation/flocculation in dewatering of sludge: A review.
Water research, 2018Co-Authors: Hua Wei, Boqiang Gao, Jie Ren, Hu YangAbstract:Abstract Sludge disposal is an integral part of wastewater treatment systems, and its Cost usually accounts for more than half of the total operation Cost. Sludge disposal technology is facing challenges and opportunities simultaneously and can still be improved. Sludge dewatering is an essential process in sludge disposal, and it is important for the effective reduction of the final Processing Cost. Coagulation/flocculation is a relatively mature, Cost-effective, user-friendly sludge dewatering technology. In this work, coagulation/flocculation and their combinations with other pretreatments, including dewatering mechanisms, are reviewed. Various coagulants/flocculants used in sludge dewatering, including inorganic coagulants, organic synthetic and natural polymeric flocculants, and bioflocculants, are introduced in detail because coagulants/flocculants are the key in coagulation/flocculation. The different factors that influence the dewatering performance of these coagulants/flocculants are also presented briefly. Moreover, aiming at the complicated composition of sludge and its treatment difficulty, the prospects and technical developments of coagulation/flocculation in sludge dewatering are discussed.
Sennur Ulukus - One of the best experts on this subject based on the ideXlab platform.
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Optimal Energy Allocation for Energy Harvesting Transmitters With Hybrid Energy Storage and Processing Cost
IEEE Transactions on Signal Processing, 2014Co-Authors: Omur Ozel, Khurram Shahzad, Sennur UlukusAbstract:We consider data transmission with an energy harvesting transmitter that has hybrid energy storage with a perfect super-capacitor (SC) and an inefficient battery. The SC has finite storage space while the battery has unlimited space. The transmitter can choose to store the harvested energy in the SC or in the battery. The energy is drained from the SC and the battery simultaneously. In this setting, we consider throughput optimal offline energy allocation problem over a point-to-point channel. In contrast to previous works, the hybrid energy storage model with finite and unlimited storage capacities imposes a generalized set of constraints on the transmission policy. As such, we show that the solution generalizes that for a single battery and is found by a sequential application of the directional water-filling algorithm. Next, we consider offline throughput maximization in the presence of an additive time-linear Processing Cost in the transmitter's circuitry. In this case, the transmitter has to additionally decide on the portions of the Processing Cost to be drained from the SC and the battery. Despite this additional complexity, we show that the solution is obtained by a sequential application of a directional glue pouring algorithm, parallel to the Costless Processing case. Finally, we provide numerical illustrations for optimal policies and performance comparisons with some heuristic online policies.
Anne Gaëlle Sicaire - One of the best experts on this subject based on the ideXlab platform.
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Ultrasound induced green solvent extraction of oil from oleaginous seeds
Ultrasonics Sonochemistry, 2016Co-Authors: Anne Gaëlle Sicaire, Sylvain Tostain, Maryline Abert Vian, Frédéric Fine, Patrick Carre, Farid ChematAbstract:Ultrasound-assisted extraction of rapeseed oil was investigated and compared with conventional extraction for energy efficiency, throughput time, extraction yield, cleanness, Processing Cost and product quality. A multivariate study enabled us to define optimal parameters (7.7 W/cm2 for ultrasonic power intensity, 40 °C for Processing temperature, and a solid/liquid ratio of 1/15) for ultrasound-assisted extraction of oil from oilseeds to maximize lipid yield while reducing solvent consumption and extraction time using response surface methodology (RSM) with a three-variable central composite design (CCD). A significant difference in oil quality was noted under the conditions of the initial ultrasound extraction, which was later avoided using ultrasound in the absence of oxygen. Three concepts of multistage cross-current extraction were investigated and compared: conventional multistage maceration, ultrasound-assisted maceration and a combination, to assess the positive impact of using ultrasound on the seed oil extraction process. The study concludes that ultrasound-assisted extraction of oil is likely to reduce both economic and ecological impacts of the process in the fat and oil industry.
Christian Bessière - One of the best experts on this subject based on the ideXlab platform.
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Maintaining Virtual Arc Consistency Dynamically during Search
2014Co-Authors: Hiep Nguyen, Thomas Schiex, Simon De Givry, Christian BessièreAbstract:Virtual Arc Consistency (VAC) is a recent local consistency for Processing Cost function networks (aka weighted constraint networks) that exploits a simple but powerful connection with standard constraint networks. It has allowed to close hard frequency assignment benchmarks and is capable of directly solving networks of submodular functions. The algorithm enforcing VAC is an iterative algorithm that solves a sequence of standard constraint networks. This algorithm has been improved by exploiting the idea of dynamic arc consistency between each iteration, leading to the dynamic VAC algorithm. When VAC is maintained during search, the difference between two adjacent nodes in the search tree is also limited. In this paper, we show that the incrementality of Dynamic VAC can also be useful when maintaining VAC during search and we present results showing that maintaining dynamic VAC during search can effectively accelerate search.
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Dynamic virtual arc consistency
2013Co-Authors: Thi Hông Hiêp Nguyên, Thomas Schiex, Christian BessièreAbstract:Virtual Arc Consistency is a recent local consistency for Processing Cost function networks that exploits a simple but powerful connection between classical constraint networks and Cost function networks. The algorithm enforcing virtual arc consistency iteratively solves a sequence of classical constraint networks. In this work, we show that dynamic arc consistency algorithms can be suitably injected in the virtual arc consistency iterative algorithm, providing noticeable speedups.
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Dynamic Virtual Arc Consistency
2013Co-Authors: Christian Bessière, Thomas Schiex, Hiep NguyenAbstract:Virtual Arc Consistency (VAC) is a recent local consistency for Processing Cost Function Networks (or Weighted Con- straint Networks) that exploits a simple but powerful con- nection with classical Constraint Networks. It has allowed to close hard frequency assignment benchmarks and is ca- pable of directly solving networks of submodular functions. The algorithm enforcing VAC is an iterative algorithm that solves a sequence of classical Constraint Networks. In this work, we show that Dynamic Arc Consistency algorithms can be suitably injected in the virtual arc consistency itera- tive algorithm, providing noticeable speedups.
