Cost Optimization of Nanofiltration with Fouling by Natural Organic Matter

An artificial neural network and genetic algorithm routine has been developed for predicting and optimizing membrane system performance. The model predicted system behavior in response to operating conditions of applied pressure and crossflow velocity. Artificial neural networks accurately modeled mechanisms involved in fouling of membranes by natural organic matter. The model correctly predicted the effects of calcium within the solution in exacerbating fouling, binding of the divalent calcium ions to the natural organic matter macromolecules, and the formation of complexes. The model also correctly predicted the role of increased pressure in inducing fouling and the reverse scenario of mitigating fouling with increased crossflow velocity. The model was applied to membrane plant design for determining cost-effective operations. The genetic algorithm routine searched the predictions of the system model to determine the optimal operating conditions. Fouling conditions induced by the presence of calcium resulted in escalating costs with increases in calcium concentration. Membrane-related cost components were shown to be a significant cost factor that is sensitive to operating conditions and represents a prime target for optimization.     

Pressure-Dependent Permeate Flux in Ultra- and Microfiltration

The effect of applied pressure on the permeate flux in cross-flow ultrafiltration (UF) and microfiltration (MF) was investigated both theoretically and experimentally. In UF and MF processes, the permeate fluxes are controlled by concentration polarization and cake formation over the membrane surface. As a better understanding of concentration polarization and cake formation becomes available, the permeate flux under any pressure can be theoretically predicted. Experiments were conducted in a ceramic tubular cross-flow filter with silica colloids of a narrow size distribution (model colloids). The pressure-dependent flux of the model colloidal suspension in cross-flow filtration was investigated under various experimental conditions. The experimental measurements were compared with the theoretical predictions, and the results showed that the pressure-dependent permeate flux in cross-flow filtration can be adequately predicted. Furthermore, theory and experiments demonstrated that the performance and operating state of UF and MF could be well characterized by the so-called “characteristic pressure” of the process.     

A GENETIC ALGORITHMS BASED MULTI-OBJECTIVE OPTIMIZATION APPROACH APPLIED TO A HYDROMETALLURGICAL CIRCUIT FOR OCEAN NODULES

Several hydrometallurgical processes have been studied for the extraction of metals from lean ores utilizing various flow sheet options. Of particular significance is the grade of the ore being treated, the energy consumed and associated costs, options for byproduct recovery, and the relative price of the products. A process scheme needs to be optimized for simultaneously maximizing metal throughput and minimizing the direct operating costs incurred within constraints set for the operating variables. This leads to a multi-objective optimization problem. The range of input grades for raw material, which a flowsheet can handle, needs to be worked out based on an optimization exercise. A lean manganese-bearing resource such as polymetallic sea nodules has been chosen in this article for the development of an optimization approach based on which the input raw nodules grades are to be treated by a particular flowsheet. Only the chemical consumption costs have been adopted in this article as a measure of direct operating costs. A linear simulation model for the flowsheet has been developed, keeping a set of design parameters constant. The solutions generated by using a sequential modular approach become inputs to an optimization procedure based on a multi-objective genetic algorithm belonging to the differential evolution family. The variables considered in the optimization task are the grade of nodules and reactivity of different species inside the reactor. A nickel equivalent (t/h function) has been suggested as a measure of productivity, as it indirectly enhances the input manganese ore grade through a price ratio effect. This productivity function was maximized with the simultaneous minimization of direct chemical costs. Pareto optimal solutions were generated with grades of nodules and reactivity in the leach reactor as decision variables. The effect of the price ratio on the Pareto optimal solutions was also investigated. The various cases investigated clarifies the methodology for choosing an appropriate ore grade range for a given process flowsheet. Appropriate decisions regarding the nature of raw material to be used for a given flowsheet are then found on the basis of the Pareto optimal solutions.     

Membrane Fouling in Membrane Bioreactors for Wastewater Treatment

Membrane bioreactors (MBRs), in which membranes are applied to biological wastewater treatment for biomass separation, provide many advantages over conventional treatment. However, membrane fouling in MBRs restricts their widespread application because it reduces productivity and increases maintenance and operating costs. Recently much research and development has taken place to investigate, model, and control membrane fouling processes. However, unified and well-structured theories on membrane fouling are not currently available because of the complexity of the biomass matrix, which is highly heterogeneous and includes living microorganisms. Membrane fouling in MBR systems can be reversible (i.e., removable by physical washing) or irreversible (removable by chemical cleaning only), and can take place on the membrane surface or into the membrane pores. Although establishing a general model to describe membrane fouling in such a process is made extremely difficult by the inherent heterogeneity of the system, the nature and extent of fouling in MBRs is strongly influenced by three factors: biomass characteristics, operating conditions, and membrane characteristics. Fouling control techniques which have been investigated include low-flux operation, high-shear slug flow aeration in submerged configuration, periodical air or permeate backflushing, intermittent suction operation or addition of powdered activated carbon (PAC). Of these, only PAC addition is currently not used in existing large-scale installations.     

Modeling Water Movement and Flux from Membrane Pervaporation Systems for Wastewater Microirrigation

A mathematical model to predict the performance of a membrane pervaporation unit directly placed in the soil to reuse wastewater for agricultural microirrigation was presented. The model was formulated by combining the solution–diffusion and the resistance-in-series model for mass transport across the membrane thickness, the Richard’s equation for soil water movement and the van Genuchten function for soil hydraulic properties to predict the water permeate flux for different types of test soil over a wide range of process operating conditions. Its applicability was assessed by comparing to the experimental data collected using both hollow fiber (HF) bundles and corrugated sheets (CS) membrane modules made of a hydrophilic dense polymer. A good agreement was observed between the model predictions and the experimental measurements. Further analysis concluded that the water permeate flux were mainly controlled by the porosity, the particle-size distribution, and the residual water of the soil. The overall mass transfer resistances were estimated to be 1.2×1014 and 5.6×1013?s?Pa/m for the HF and CS modules buried in loam soil, respectively, which are different from those measured in sweeping air pervaporation tests. The soil resistance for water transport was 7.1×1013?s?Pa/m. It is believed that the model could be a valuable tool to refine the design and optimize the operation of the proposed membrane pervaporation system.     

Membrane Pervaporation for Wastewater Reuse in Microirrigation

A novel wastewater microirrigation technology for plants to extract reclaimed water from hydrophilic, homogenous dense membrane modules placed directly in the soil was evaluated. A series of tests were conducted in the laboratory to examine the effects of membrane configuration (hollow fiber (HF) and corrugated sheet (CS) membranes), soil texture (a loam and loamy sand soil), soil water content, feed pressure, and contaminant concentration on water permeate flux. The performance was evaluated in terms of soil water content, soil electroconductivity, water permeate flux and enrichment factor using borate, selenate, sodium chloride and glucose as model compounds. The results showed that the water permeate fluxes ranged from 0.21 to 1.04?L/m2/d for CS modules and from 0.10 to 1.00?L/m2/d for HF modules, respectively. Soil water content and feed pressure were identified as the main controlling factors for water flux. The enrichment factors were found to be less than 0.25 for all the tested contaminants. Thus, it was concluded that this membrane technology holds promise either to treat brackish ground water or to reuse wastewater for agricultural micro-irrigation.     

Comparison of ultra- and microfiltration in the presence and absence of secondary flow with polysaccharides, proteins, and yeast suspensions

The purpose of this research was to show that controlled centrifugal instabilities-Dean vortices-produced by solutions and suspensions from typical biotechnology applications flowing through curved tubes can be used to reduce concentration polarization and/or fouling in pressure-driven ultrafiltration (UF) and microfiltration (MF) processes. Experiments were conducted to (i) evaluate the ultrafiltration performance of hollow fiber membranes in linear and helical configurations with dextran (low fouling) and bovine serum albumin (high fouling) solutions and (ii) compare the performance of linear and helical coiled UF hollow fiber modules with that of similar MF modules using baker's and beer yeast (Saccharomyces cerevisiae) suspensions as feed. Both constant transmembrane pressure (TMP) and constant permeation flux (J) experiments were utilized here. The membrane material was polyether sulfone. For the ultrafiltration experiments, the helical module performed consistently better than the linear module with dextran T500 and BSA solutions, resulting in performance improvements (helical versus linear) from 20 to 200% and up to 85%, respectively. For the comparative experiments between UF and MF, the helical module again performed better than the linear module for low concentration baker's yeast suspensions (0.5-1% dry wt). At constant TMP, the flux improvements for UF were 30-120%, while at constant J, the capacity or loading was 4.5 times higher for the UF as compared to the MF membrane. At high beer yeast concentrations (5.1-6.8% dry wt), although flux improvements were not observed between the linear and helical modules for UF, the UF fluxes were 72% higher than that obtained with MF. Also, for MF, with the same high beer yeast concentrations, the helical module exhibited 30-90% higher fluxes than that obtained with the linear module. At constant flux (117-137 L m-2 h-1) and intermediate baker's yeast concentrations (0.65-2.7% dry wt), 10-20 times the capacity was obtained for the helical over the linear module. Yeast cells were the dominant foulant. For constant UF flux (70 L m-2 h-1) experiments at high beer yeast concentrations ((4.3-7.7) x 10(7) cells/mL or 5.1-6.8% dry wt), the capacity (loading) for the helical module was 10 times that of the linear module. Again, the yeast cells were the dominant foulant. A new mass-transfer correlation for ultrafiltration of dextran T500 solutions for laminar flow in a helical hollow fiber module was obtained, viz. Sh = 0.173Re0.55Sc0.33(a/Rc)0.07.     

纳滤膜处理除铁后浸出液富集铜的研究

采用纳滤膜处理江西德兴铜矿除铁后生物浸出液,通过试验考察操作压力、温度等对渗透通量、铜离子截留率和渗透液电导率的影响.研究结果表明纳滤膜较佳操作条件为：温度30℃,运行压力15bar,流量14L/min;在此条件下浓缩3.7倍时,Cu2＋截留率R为93.1％,浓缩液中Cu浓度为0.764g· L-1.     

Membrane-Based Forms for Innovative FRP Bridge Systems through Structural Optimization

The use of fiber-reinforced polymer (FRP) composites for new construction is still limited primarily due to high costs and designs based on shapes best suitable to conventional materials. The layered and fiber dominated structure of FRP composites is most efficient when used under in-plane stress demands. Structural forms that most efficiently use tensile stress carrying capacity are membranes or thin shells. An analytical investigation is presented where an innovative optimization algorithm for the integrated shape and laminate optimization of free-form FRP shells was developed and used to generate two new bridge systems that efficiently use FRP composites in membrane-based forms. One concept makes use of a FRP membrane working compositely with a concrete slab to resist flexure while the second uses the FRP membrane in a dual suspension system supporting a deck through diaphragms. The resulting designs and a discussion on their performance under optimal and nonoptimal loading are presented. While practical issues are still to be resolved, the presented approach and concepts can promote and provide insight to efficient structural forms for FRP composites.     

Optimization of a Steel Plant with Multiple Blast Furnaces Under Biomass Injection

The allocation of resources between several blast furnaces in an integrated steelmaking plant is studied with the aim of finding the lowest specific operation cost for steel production. In order to reduce the use of fossil fuels, biomass was considered as an auxiliary reductant in the furnace after partial pyrolysis in an external unit, as a complement to heavy fuel oil. The optimization considers raw material, energy, and emission costs and a possible credit for sold power and heat. To decrease computational requirements and to guarantee that the global optimum is found, a piecewise linearized model of the blast furnace was used in combination with linear models of the sinter-, coke-, and power plants, hot stoves, and basic oxygen furnace. The optimization was carried out under different constraints on the availability of some raw materials as well as for different efficiencies of the hot stoves of the blast furnaces. The results indicate that a non-uniform distribution of the production between the furnaces can be advantageous, and some surprising findings concerning the optimal resource allocation under constrained operation are reported.     

Removal of 17β Estradiol and Fluoranthene by Nanofiltration and Ultrafiltration

With the recent emergence of endocrine disrupting compounds as an important potable drinking water and reclaimed wastewater quality issue, the removal of two estrogenic compounds (17β-estradiol and fluoranthene) by nanofiltration and ultrafiltration membranes was investigated. A less hydrophobic organic compound model species [parachlorobenzoic acid (PCBA)] was tested. 17β-estradiol (E2), fluoranthene, and PCBA were applied to the membrane in the presence and absence of natural organic matter (NOM). Both batch adsorption and dead-end stirred-cell filtration experiments indicated that adsorption is an important mechanism for transport/removal of relatively hydrophobic compounds, and is related to the octanol-water partition coefficient (KOW) values. All filtration measurements were performed approximately the same permeate flow rate in order to minimize artifacts from concentration polarization varied with different hydrodynamic operating conditions at the membrane interface. The percent removal by dead-end stirred-cell filtration ranged from 10 to >95% depending upon membrane pore size/hydrophobicity and presence/absence of NOM at an initial concentration ranging from 0.1 to 0.5 μM. Additional batch adsorption experiments with radio-label (3H) E2 at lower concentrations ranging 0.025 to 5 nM showed that E2 removal due to adsorption was independent of its initial concentration. Adsorption occurs both on the membrane surface and interior membrane pore surfaces. However, adsorption was insignificant for PCBA (log?KOW = 2.7), but removal presumably occurred due to electrostatic exclusion. Partition coefficients (log?K) of 0.44 to 4.86 measured in this study increased with log?KOW and membrane pore size.     

Use of Genetic Algorithm in Optimization of Irrigation Pumping Stations

Energy costs constitute the largest expenditure for nearly all water utilities worldwide and can consume up to 65% of a water utility’s annual operating budget. One of the greatest potential areas for energy cost savings is in the scheduling of pump operations. This paper presents a new management model, WAPIRRA Scheduler, for the optimal design and operation of water distribution systems. The model makes use of the latest advances in genetic algorithm (GA) optimization to automatically determine annually the least cost of pumping stations while satisfying target hydraulic performance requirements. Optimal design and operation refers to selecting pump type, capacity, and number of units as well as scheduling the operation of irrigation pumps that results in minimum design and operating cost for a given set of demand curves. The optimization process consists of three main steps: (1) generating randomly an initial set of pump combinations to start the optimization process for a given demand-duration curve; (2) minimizing the total annual cost, which consists of operation and maintenance costs and depreciation cost of the initial investment, by changing the set and discharge of pump sets based on the provided model; and (3) achieving the final criterion to stop the optimization process and reporting the optimized results of the model. Computational analysis is based upon one major objective function and solving it by means of a computer program that is developed following the GA approach to find the optimized solution of generated equations. Application of the model to a real-world project shows considerable savings in cost and energy.     

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Iron and steel works is not only major energy-consuming polluters but also a major source of pollutants. The boiler of power plant should be operated under the optimal scheme to meet the varying demand and power from process to reduce cost and save energy for petrochemical industry. A multi-period mixed-integer linear programming (MILP) optimization model for the boiler load with environmental costs was established and solved by using the improved particle swarm optimization (IPSO) algorithm. The results indicate: the fuel cost is 1015611 Yuan after optimization, about 77% in the whole running system. The total cost is less than the actual cost 50462. 864 Yuan approximately, decreased by about 3. 7%, saving a lot of cost. The feasibility and rationality of the model is solved based on the IPSO method, a better operational planning is attained to provide guidance quantificationally for the operating plan. Although considering environmental costs as part of the total cost increases the total business operating costs, to resolve the issue of environmental protection and coordinated and sustainable economic and social development has important significance.     

应用高分子比冰晶石启动电解槽的实践

在300kA电解槽焙烧启动过程中,使用高分子比冰晶石替代普通冰晶石,可以有效提高电解槽的启动质量,改善电解槽的运行状况,为优化电解槽的技术指标和延长电解槽寿命奠定良好基础;同时还可以降低启动过程中原材料的消耗和成本,减少废气的排放量。     

首钢京唐1号高炉操作炉型管理实践

从首钢京唐公司1号高炉近6年来操作炉型调整和变化过程出发,对比设计炉型,通过对原燃料管理、装料制度、送风制度、热制度、冷却制度和渣铁排放制度等高炉操作制度的摸索,分析总结高炉合理操作炉型特点,从而确定高炉操作炉型管理方案,使高炉煤气稳定,煤气形态合理,保持正常的操作炉型,确保高炉长期顺稳,实现高炉各项指标最优化。     

Response of a Tropical Reservoir to Bubbler Destratification

A one-dimensional reservoir-bubbler model has been developed to examine the mixing and the change in dissolved oxygen pattern induced by bubbler operation in a stratified reservoir. The reservoir-bubbler model is applied to a tropical reservoir, the Upper Peirce Reservoir, Singapore. For this tropical reservoir with low wind speeds, it is found that bubbler operation dominates oxygen transfer into the reservoir water rather than oxygen transfer from all other sources, including surface reaeration. It is illustrated that selection of airflow rate per diffuser, air bubble radius, and total number of diffusers are important criteria in bubbler designs. Higher dissolved oxygen levels in reservoirs are obtained by increasing the bubbler airflow rate that is associated with lower mechanical efficiency (ηmech) than optimal ηmech of the bubbler. Determining an appropriate airflow rate is shown to be a tradeoff between increased dissolved oxygen levels and increased operating costs as airflow rate increases. When the reservoir is close to well mixed, the water quality is usually reasonably good but the bubbler operates at a very low ηmech—thus the bubbler should be turned off.     

Modeling Uncoupled Solute Transport in Natural Organic Matter Size Fractionation by Ultrafiltration

Physicochemical separation of organic macrosolutes and colloidal particles is routinely required during the analysis of natural, waste, and process waters derived from aquatic and terrestrial environmental samples. This study was conducted to demonstrate the utility of a two-parameter nonlinear permeation coefficient model (PCM) in describing the uncoupled transport of solutes in dilute heterogeneous solutions subjected to batch ultrafiltration (UF). The PCM was used in conjunction with natural organic matter (NOM) permeate data for a natural water and six hydrophobic and hydrophilic subfractions to determine permeation coefficients p and NOM concentrations Cr0 with apparent molecular weight less than membrane specific cutoff values of moderately hydrophilic YC/YM series Amicon? UF membranes. Experimentally measured permeation coefficients p determined for the whole water were found to correlate well with composite permeation coefficients p? calculated using a mass-fraction weighted average of individual NOM subfraction permeation coefficient values. Correlation of experimentally measured and calculated permeation coefficient values (p and p?) indicated that the PCM can adequately describe uncoupled transport of chemically distinct solute fractions during batch UF of heterogeneous dilute solutions.     

COREX工艺静态模型的开发和应用

简述COREX工艺流程,开发了建立在物料一热量平衡方程组上的COREX工艺静态模型.根据COREX工艺操作设定输人参数,模型能够计算出原料和熔剂消耗、渣量及成分和熔化气化产生煤气量及成分.利用模型能够研究操作参数和原料化学成分、配比及温度的改变对COREX工艺物流和能流的影响,结果表明模型能够为优化COREX工艺提供帮助.     

Robust Optimal Design of Activated Sludge Bioreactors

This paper proposes an algorithm for a robust optimal design of the biological reactor and secondary settling facilities in suspended growth nitrogen and phosphorus removal systems. Robust optimization includes uncertainty in the decision-making procedure and seeks a solution that remains “close” to optimal for all potential operation scenarios. It thus differs fundamentally from the deterministic and stochastic approaches, where uncertainty is ignored or a solution based on either the most likely scenario or the average performance over all potential scenarios is produced. The robust optimization of a suspended growth system is a multiobjective optimization problem concerned with minimization of the global costs and variability of the system’s performance around the optimal. The proposed robust optimization approach uses the ASM3 model, making use of its performance prediction capabilities to produce a powerful tool for designing activated sludge systems. The algorithm was applied to the design of the biological reactor and secondary settling facilities for the Vila Real municipal wastewater treatment plant (Portugal).     

Applicability Assessment of Subcritical Flux Operation in Crossflow Microfiltration with a Concentration Polarization Model

In the process of crossflow microfiltration, a deposit of cake layer tends to form on the membrane, which usually controls the performance of filtration. However it is found that there exists a condition under which no deposit of cake layer is made. This condition is called the subcritical flux condition and the maximum flux in the condition here is called the critical flux. Which means, it is a flux below which a decline of flux with time due to the deposit of cake layer does not occur. This study develops a concentration polarization model to predict the critical flux condition and to study about its characteristics. The model is verified with experimental results. For the model, the concept of effective particle diameter is introduced to find a representative size of various particles in relation to diffusive properties of particles. The modeling and the experimental results include that the critical flux condition can be determined by the use of effective particle diameter and the ratio of initial permeate flux to crossflow velocity. This study also finds that the (sub)critical flux operation is limited for the real world application because of the limitation to increasing crossflow velocity and its sensitivity to the change of feed composition.