选矿优化控制软件平台的设计与开发

选矿生产作为流程工业的一部分,随着新一代信息技术和人工智能技术的发展,迫切需要一个可以快速部署、功能完善的综合性智能优化控制工业软件为其智能生产提供服务。基于这一需求,从生产应用的实际出发,简要描述了一套选矿智能优化控制软件的设计和实现方法。     

某残坡积铁尾矿再选流程考查及工艺优化研究

对某厂残坡积铁尾矿再选生产工艺流程,采用生产统计、取样化学及物相分析、粒级筛析考查等方法进行流程查定,查明各作业及单机的选别效率,各作业产品铁品位、金属分布率、金属流向及影响因素,根据查定及试验结果对现有流程提出优化改进的建议,通过改造取得较好的技术指标和经济效益。。     

某矿不同级配尾砂强度影响规律及其优化研究

尾砂级配是影响充填体强度的重要因素之一，某矿因磨矿细度越来越小、级配不合理导致充填质量较差，因此以该矿全尾砂为原材料，开展不同级配尾砂充填体强度配比试验，并对其进行优化。推荐该矿尾砂级配为：+100目占比30%，-100～+200目占比30%，-200～+400目占比20%，-400目占比20%。下一步将根据试验结果进行技术改造，优化尾砂级配，实现安全高效开采。     

Importance and applications of DOE/optimization methods in PEM fuel cells: A review

Although proton exchange membrane (PEM) fuel cells are seen as one of the energy conversion technologies of the future due to their high energy conversion efficiency, low levels of emissions, low temperature operation, and compact systems, studies continue to reduce their cost, which is the biggest obstacle to commercialization. Design of experiment (DOE) methods are frequently used in optimization of PEM fuel cells to reduce their cost by decreasing experimental runs. This paper reviews the main gains subsuming the usage of several DOE and optimization methods in PEM fuel cell components, design, operation conditions, and model parameters. It firstly focuses on the Taguchi method and response surface methodology (RSM) known to be applied usually in PEM fuel cell studies. In addition to these known methods, other experimental design and optimization methods used in PEM fuel cells are discussed, and the results are summarized.     

A novel vacuum wastewater treatment plant integrated with a solar absorption system

In this investigation, a novel use of the solar absorption refrigeration systems was introduced by using it to enhance the operation of vacuum wastewater treatment plant. Wastewater treatment systems require a source of heat for evaporation, a cooling section for condensation and a mean of evacuation to facilitate evaporation. The solar absorption system can take over the first two tasks. Among the commercially available vacuum evaporators, one was selected and modified by replacing the conventional heat pump with the solar absorption system. Two validated mathematical models available in the literature, one for solar absorption subsystem and one for vacuum evaporation subsystem, were integrated together to perform the analysis. The impacts of solar absorption subsystem parameters along with vacuum evaporator subsystem parameters on the overall performance were investigated using the developed program. System performance was evaluated in terms of evaporation rate and condensate rate production. It was found that the degree of superheat had the greatest impact on the rate of evaporation. At low levels of supply temperature to the vacuum chamber, using only heat provided by the absorption system, the evaporation rate exceeded 60 kg/h. If the hot water was further heated by passing through the solar collector storage tank, the evaporation rate exceeded 200 kg/h.     

Technological and economic analyses on power generation from the waste heat in a modified aluminum smeltingpot

Current pot ventilation system is designed in a conservative manner to prevent hazardous gases from escaping aluminum smelting pots. Reduction of pot draft is an initiative of both efficiently using waste heat in the exhaust gas and significantly reducing fan power of the ventilation system. This work presents a systematic analysis on the reduction of pot draft and the consequent problem, ie, fugitive emissions from the smelting pot. Numerical models with different length scales are developed to simulate the fluid flow and heat transfer in pots and potroom. The superstructure of a typical aluminum smelting pot is successfully modified to maintain the pot tightness in the reducing pot draft. The results show that the current pot draft could be reduced by 50% at least using the developed technology. The techno-economic analysis of power generation from the waste heat in aluminum smelting pot is made based on organic Rankine cycle (ORC), and the potential benefits of using the pot exhaust gas of both normal and 50% reduced flow rates are estimated. It is found that the levelized energy cost of the optimized ORC system using 50% reduced exhaust gas is 0.048 $/kWh with a system's lifespan of 10 years and 0.038 $/kWh with a lifespan of 15 years while the payback time of investment is 5.2 years.     

Optimization of biohydrogen production using acid pretreated corn stover hydrolysate followed by nickel nanoparticle addition

The dilute acid hydrolysis using corn stover (CS) to produce reducible sugars was optimized by the response surface methodology. The electron-equivalent balances of the main metabolites during the dark fermentation (DF) using acid hydrolysate were investigated to identify the evolutions of the electron sinks over the course of DF. The additions of nickel ion and Ni⁰ nanoparticles (NPs) were found to effectively enhance the hydrogen production at experimental conditions. The optimal condition (HCl 2.5 wt%, hydrolyzing duration 105 minutes, pH=5, S/B=3.5, Ni⁰ NPs=10 mg/L^-1) was achieved with Y_H2/S reaching 1.18 (mol.mol^-1-glucose). The Y_H2/S increased from 0.7 (mol.mol^-1-glucose) to 1.18 (mol.mol^-1-glucose) reaching 40% hydrogen yield increase when Ni⁰ NPs was added to the fermentation broth. Among the investigated significant soluble metabolites, the butyric acid was found to serve as the largest e-sink in the electron-equivalent balance. The additions of Ni⁰ NPs at low level (below 10 mg/L) were found to appreciably increase the hydrogen production. The increased pH and substrate to biomass ratio were found to skew the metabolic balance from hydrogen production to the biosynthesis (an increase of biomass). The proposed anaerobic digestion model with consideration of the inhibitory factors model presents a good agreement with the experimental data. The chemical addition such as nickel ions, Ni⁰ NPs was found to be a practical approach in enhancing biohydrogen production using CS acid hydrolysate as cultivation broth.     

Optimal design of autonomous desalination with storage energy system using SSO algorithm

Sustainable power sources, that is, the energy produced as of hydro control, biomass, wind, geothermal, sunlight, and sea resources deliberated as innovative choice intended to create clean energy and crisp water. The majority of the nations have challenged issues proceeding freshwater and power creation, which tends to the utilization of sustainable power source-controlled desalination frameworks. In this work expanding the clean water accessibility that satisfies the load need, Hybrid Renewable Energy Systems (HRES) on the basis of Reverse Osmosis Desalination (ROD) is structured and then displayed. HRES is getting to be well known for power applications because of advances in sustainable power sources. Here, an innovative calculation based on Social Spider Optimization (SSO) is aimed at explaining the required optimization tasks. The technique referenced is turned out to be powerful, utilizing sustainable power source framework. The proposed system is contrasted with a genuine contextual analysis in the eastern part of Iran, Canary Islands and outcomes demonstrate that it has been successfully utilized thinking about both power quality and cost. Also, the outcomes acquired by the suggested technique are very encouraging to outline the capability and strength of the introduced methodology.     

Design,modeling, and optimization of a dual reflector parabolic trough concentration system

The aim of the present work is to enhance the thermal management avoiding the high-thermal stress on the outer surface of the parabolic trough receiver (PTR) derived from nonuniform concentrated solar flux distribution. A parabolic trough concentrating (PTC) system with second homogenizing reflector (HR) is numerically designed and optimized to ensure a uniform concentrated solar flux on the PTR walls. For this purpose, a three-dimensional optical model has been developed to analyze quantitatively the improvement made by the HR using the optical efficiency and qualitatively basing on the uniformity of the solar flux density distribution over the entire surface of the PTR. The validation of the numerical tool is presented, and the algorithm of the design process has been proposed and detailed. As a preliminary trait, it was revealed that the peak of the designed system performance is achieved with a rim angle of 68° avoiding simultaneously the aberration and the blocking effects. Despite the optical efficiency decrease by about 7% compared with the conventional PTC design, the uniformity of the solar flux distribution has been strongly improved such that the maximum local solar flux density gradient is decreased from 80 to 11 kW/m² equivalent to a decrease of 86.25% with respect to the conventional PTC and the average local density is about 25.5 kW/m².     

Parameters extraction of PEMFC's model using manta rays foraging optimizer

In this article, a recently developed bio-inspired based manta rays foraging optimizer (MRFO) is attempted for reliable and accurate extraction of the model uncertain parameters of proton exchange membrane fuel cells (PEMFCs). The parameter estimation is formulated as a non-linear optimization problem subject to set of restrictions. The great development and tremendous revolution of computation heuristic-based algorithms are the impetus of the authors to apply the MRFO to solve this constrained optimization problem resulting in a precise PEMFC model. Three case studies of typical field PEMFC stacks namely Ballard type Mark V, NedStack type PS6, and Horizon type H-12. Various I to V datasets are demonstrated to appraise the performance of MRFO among other recent optimizers available in the literature. To be objective and for sake of quantifications, the best scores of minimum fitness values are 0.8533, 2.1360, and 0.0966 for the later said PEMFC stacks, correspondingly. At a later stage, production of various characteristics under varying operating conditions such as changeable cell temperature and regulating pressures are established using the generated best values of PEMFCs model. Further calculations of statistical indices are performed to validate the robustness of obtained results by the MRFO. Through comprehensive performance assessments, it can be confirmed that MRFO is very promising tool for the effective extraction of PEMFCs' model and suggested to be applied for solving other engineering problems.