Mechanism of Energy-Consumption Benchmark State for Coal-Fired Power Units with Varying Boundary

2013 ◽  
Vol 860-863 ◽  
pp. 690-695
Author(s):  
Yong Zhang ◽  
Peng Fu ◽  
Ning Ling Wang
Keyword(s):  
Boundary Condition ◽  
Energy Consumption ◽  
Working Conditions ◽  
Economic Performance ◽  
Thermal Power ◽  
Operation Optimization ◽  
Operation Conditions ◽  
Optimal Values ◽  
New Challenges ◽  
Equipment Performance

The in-depth energy conservation of thermal power units is confronting new challenges under the varying operation conditions and ambient constraints. Compared with traditional optimal values, the description of energy-consumption benchmark state was proposed to describe the economic performance of thermal power units with the varying operation boundary, operation conditions and equipment performance. The energy consumption interactions of units were divided into 4 parts: parameters, equipment, subsystems and units. The models for energy-consumption benchmark states were established with the fuel specific consumption (FSC) setting as the optimization objective. Such a method was performed on a 600MW supercritical power unit and the results show that the energy-consumption benchmark state, which is related with the varying boundary, can reflect the boundary condition, operation lever and equipment performance. It makes significant reference for the energy-saving diagnosis and operation optimization of thermal power units under overall working conditions.

Method for Determining Energy-Consumption Benchmark State in the Thermal System of Coal-Fired Units Based on Hybrid Model

2014 ◽  
Vol 654 ◽  
pp. 93-96
Author(s):  
Long Fei Zhu ◽  
Ning Ling Wang ◽  
Peng Fu ◽  
Zhi Ping Yang
Keyword(s):  
Energy Consumption ◽  
Hybrid Model ◽  
Working Conditions ◽  
Thermal Power ◽  
Thermal System ◽  
Mechanism Analysis ◽  
Heat Transfer Characteristics ◽  
Operation Optimization ◽  
Operation Conditions ◽  
New Challenges

Considering the varying operation conditions and ambient constraints, the in-depth energy conservation of thermal power units is confronting new challenges. Based on the already made ‘energy-consumption benchmark state’ concept, the description of energy-consumption benchmark state was obtained in this paper to describe the economic performance of coal-fired power thermal system with the varying operation boundary, operation conditions and equipment performance. Breaking the limitations of traditional modelling which always make statistic analysis and mechanism analysis isolate, hybrid modeling method synthesizing the merit of the mechanism analysis and statistical method was proposed. Considering the heat transfer characteristics of thermal system, this model make the energy-consumption of unit correspondence with parameter sets of thermal system. Optimized parameter sets were gained with the fuel specific consumption setting as the optimization objective, thus obtain the energy-consumption benchmark state in thermal system of coal-fired units. The results show that the method for determining energy-consumption benchmark state in the thermal system of coal-fired units based on hybrid model makes significant reference for the energy-saving diagnosis and operation optimization of thermal power units under overall working conditions.

Operation Optimization Approaches of Thermal Power Units with Big Data-Driven Hybrid Modeling

2014 ◽  
Vol 631-632 ◽  
pp. 362-366
Author(s):  
Ning Ling Wang ◽  
Yong Zhang ◽  
Long Fei Zhu ◽  
Zhi Ping Yang
Keyword(s):  
Energy Consumption ◽  
Thermal Power ◽  
Hybrid Modeling ◽  
Data Driven ◽  
Fuzzy Rough Set ◽  
Operation Optimization ◽  
Operation Conditions ◽  
Energy Consumption Model ◽  
Practical Guidelines ◽  
Data Driven Modeling

An accurate and reliable energy-consumption model is the key to operation optimization and energy-saving diagnosis of thermal power units especially under different operation conditions and boundaries. Conventional mathematical and data-driven modeling methods were overviewed and compared in this paper. A hybrid modeling based on thermodynamic theory and fuzzy rough set (FRS) method was proposed to process the great volume of operation data and describe the energy-consumption behavior of thermal power units. On this basis, the operation optimization was performed with intelligent computation methods to derive the realizable benchmark state with the whole set of operation parameters. The resultant optimum operation state reflects the exterior factors and system behavior, taking practical guidelines for the modeling and optimization of large thermal power units.

Intelligent Energy-Saving Decision Making and Delicacy Management for Power Enterprises

2014 ◽  
Vol 631-632 ◽  
pp. 1282-1286
Author(s):  
Yong Zhang ◽  
Ning Ling Wang
Keyword(s):  
Decision Making ◽  
Energy Saving ◽  
Management System ◽  
Thermal Power ◽  
Big Data Analytics ◽  
Fuzzy Rough Set ◽  
Operation Optimization ◽  
Operation Conditions ◽  
Performance Indexes ◽  
Decision Making Model

Energy-saving management is playing increasingly important parts in the energy conservation of thermal power generation. The economic performance indexes were decomposed and clarified to set a delicacy energy-saving management system. With the great volume of operation data, an fuzzy rough set (FRS) –based big data analytics were introduced to build the intelligent energy-saving decision-making model. Based on such energy-saving management system, the operation optimization practice was performed on a 600MW thermal power unit to determine the optimum working state under specific operation conditions. The result shows that the proposed energy-saving management can makes great guidelines for the operation optimization and energy-saving diagnosis of thermal power units.

Big Data Analytics-Based Energy-Consumption Feature Selection of Large Thermal Power Units

2013 ◽  
Vol 860-863 ◽  
pp. 1862-1866 ◽  
Author(s):  
Ning Ling Wang ◽  
De Gang Chen ◽  
Yong Ping Yang
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Data Analytics ◽  
Thermal Power ◽  
Big Data Analytics ◽  
Boundary Constraints ◽  
Operation Conditions ◽  
Complex Nonlinear System ◽  
Key Features ◽  
Selection Of

Large coal-fired power unit is a complex nonlinear system with more uncertainty to address, evaluate and optimize. It is essential and difficult to determine the key features contributing to the energy consumption of power units, especially considering the varying boundary constraints, operation conditions and system characteristics. In this paper idea of big data analytics is employed to clean the historian operation data efficiently and select the key energy-consumption features with less information losses. The result shows that the resultant key features reflect the exterior factors and system behavior. It makes great reference for the modeling and optimization of large thermal power units.

scholarly journals Effects of the Geometric Parameters of Mixer on the Mixing Process of Foam Concrete Mixture and Its Energy Efficiency

2020 ◽  
Vol 10 (22) ◽  
pp. 8055
Author(s):  
Sergey A. Stel’makh ◽  
Evgenii M. Shcherban’ ◽  
Anatolii I. Shuiskii ◽  
Al’bert Yu. Prokopov ◽  
Sergey M. Madatyan ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Lower Energy ◽  
Geometric Parameters ◽  
Concrete Mixture ◽  
Mixing Process ◽  
Conical Part ◽  
Foam Concrete ◽  
Optimal Range ◽  
Optimal Values

The paper studies the influence of the geometric parameters of the mixer on the mixing process, the construction of the mixing body, its location in the mixer bulk, and the mixer shape and geometry. The technique of calculating the power spent on mixing the foam concrete mixture is described. The effects of the ratio of the mixture height to the mixer diameter, the number and width of reflective partitions, and the shape of the conical part of the mixer on the homogeneity of the foam concrete mixture and the power consumption are considered. The optimal ratios of the foam concrete mixture height to the mixer diameter have been determined. Moreover, the optimal range of the ratios of the partition width to the mixer diameter has been established, in order to obtain a homogeneous foam concrete mixture throughout the volume with lower energy consumption. The optimal values of the angle of the mixer conical part for the preparation of a foam concrete mixture have been determined.

The Analysis on the Tribological Properties of TPU/PVC Blends under Oil Lubrication

2013 ◽  
Vol 774-776 ◽  
pp. 94-98
Author(s):  
Dao Yuan Pan ◽  
Peng Peng Wu ◽  
Zhong Xue Gao ◽  
Yu Zeng Zhang
Keyword(s):  
Working Conditions ◽  
Friction And Wear ◽  
Oil Lubrication ◽  
Wear Properties ◽  
Operation Conditions ◽  
Hydraulic Steering ◽  
Pros And Cons ◽  
Friction And Wear Properties ◽  
Lubrication Conditions ◽  
Better Than

Based on actual working conditions and parameters of the hydraulic steering gear, the purpose is optimizing the rubber seal of steering gear by different rubbers mixing technology. Compare the five kinds of rubber with metal of the friction characteristics in dynamic fit, it can obtain a performance excellent rubber real in the specific operation conditions. And then improve the overall service life of the steering gear. It is first prepared the same hardness TPU and PVC and blends that the ratio is 3:7, 5:5and7:3 in this article. The pros and cons of the five rubbers are analyzed in friction and wear properties of the above experimental. The test curve of coefficient friction and wear with time has been done under different load at constant low speed. It determines TPU/PVC = 3:7 blends through friction and wear and wear mechanism of five rubbers with steel comparatively analyses, and the heat resistance and wear resistance of them are better than the other TPU/PVC blends and PVC under oil lubrication conditions.

A Semi-Empirical Water and Energy Analysis of Industrial Production of Nickel From Mineral Ores: Comparative Analysis Between Two Different Technologies of Calcination

2021 ◽  
Author(s):  
Janneth Ruiz ◽  
Antonio Ardila ◽  
Bernardo Rueda ◽  
Jorge Echeverri ◽  
Daniel Quintero ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Comparative Analysis ◽  
Moisture Content ◽  
Electrostatic Precipitator ◽  
Partial Reduction ◽  
Reduction Reactions ◽  
Operation Conditions ◽  
Laterite Ores ◽  
Rotary Kilns ◽  
Semi Empirical

Abstract In the ferronickel production process, mineral calcination is one of the most energy-intensive stages. In a typical rotary kiln calciner, particulate solids and combustions gases move counter currently, while solids undergo drying, pre-reduction, and partial reduction reactions. The combustion of natural gas provides the thermal energy for drying and reduction reactions. About 80 to 85% of the incoming laterite ore leaves the reactor as calcined ore, while the flue gases entrain part of the solids as dust. This work presents a theoretical analysis contrasted with experimental results to evaluate the partial reduction of laterite ores in two rotary kilns of 185 m and 135 m length. The study focused on the water formed in the process, including a comparative analysis of water consumption by two different solids recovery technologies, a gas scrubber and an electrostatic precipitator. Simulations allowed evaluating the water and greenhouse gas formation in the main streams of the process. Among the tested operation conditions, the moisture content in the pellets, consisting of agglomerated dust, strongly influenced the amount of water released in the process and the energy consumption. Furnace RK-2 needs approximately 56% more energy to evaporate the moisture content in the feedstock. Furthermore, furnace RK-2 released 55.4 m3h−1 of water into the atmosphere, which represented two times the amount released by furnace RK-1. Gas scrubber analysis showed that as the liquid water increased, more H2O in the gases was condensed; however, the destroyed exergy also increased. Electrostatic precipitators appear as an adequate technology for reducing water and energy consumption in the ferronickel industry.

scholarly journals A Multicriteria Methodology to Select the Best Installation of Solar Thermal Power in a Family House

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1047 ◽  
Author(s):  
Jaroslav Košičan ◽  
Miguel Ángel Pardo ◽  
Silvia Vilčeková
Keyword(s):  
Energy Consumption ◽  
Energy Production ◽  
Thermal Power ◽  
Research Work ◽  
Hot Water ◽  
Solar Thermal ◽  
Solar Panels ◽  
Solar Thermal Power ◽  
Geographical Latitude ◽  
Family House

Solar thermal power is nowadays one of the trendiest topics in the construction industry, and it represents a valuable energy source of heating that reduces energy consumption. As solar panels produce heating during the day and consumers demand calefaction during the whole day, we use standby tanks (for domestic hot water) and buffer tanks (for heating) for storage. The latest developments improved the efficiency and useful life while reducing the volume of tanks. So, the presented research work deals with analyzing the solar thermal power in a family house. This work presents a method to create a decision support system to compare solar energy systems in houses from economical, technical, availability, and environmental concerns. The weights of the criteria selected considering the analytical hierarchy process are computed. Parameters required for energy production calculations (location, temperature, etc.) and energy consumption (inhabitants, outdoor temperature, etc.) are summarized. It can be stated that a universal best solar thermal scheme does not exist, as energy consumption depends on the other features and limits as well as energy production, geographical latitude of the location, and so forth. According to results, Case 3 (a gas boiler and a combination tank) is the best alternative for reducing the energy required, CO2 emitted, the best energy efficiency of the installation, and the lowest transmission losses. In other scenarios when the economic criteria are not so relevant, this should be the best case in the prioritization scheme.

Recovery of Precious Metal Material Ni from Nickel Containing Wastewater Using Electrolysis

2012 ◽  
Vol 164 ◽  
pp. 263-267 ◽  
Author(s):  
Rui Jie Jin ◽  
Chang Sheng Peng ◽  
Ahmed Abou-Shady ◽  
Ke Dong Zhang
Keyword(s):  
Energy Consumption ◽  
Boric Acid ◽  
Precious Metal ◽  
Influential Factors ◽  
Nickel Concentration ◽  
Dynamic Mode ◽  
Operating Parameters ◽  
Taguchi Approach ◽  
Nickel Recovery ◽  
Optimal Values

The recovery of Ni2+ from nickel containing solution is a worthwhile work, owing to its precious value. In the present work, the optimal values of electrolysis (EL) operating parameters were elaborately investigated using Taguchi approach. The effect of Ni2+ initial concentration, boric acid, pH, and voltage were investigated in terms of nickel recovery and energy consumption. The results obtained showed that the influential factors on nickel recovery were voltage > boric acid > pH > concentration. However, in terms of energy consumption the following order of concentration > boric acid > pH > voltage was obtained. A confirmation experiment was carried out with the optimized parameters (boric acid 18g/L, nickel concentration 1000 mg/L, voltage applied 4.0 V, and pH 4). The recovery of Ni2+ yielded about 88%, and the outlet Ni2+ was as low as 119 mg/L. The electrolysis dynamic mode was investagated with flow rate 20 mL/min. The results showed that the outlet nickel concentration was 350 mg/L equal to 65% of Ni2+ recovery and energy consumption of 25.7 kW h/kg. Electrolysis could effectively recover nickel, however the Ni2+ concentration of the residual electrolyte was much higher than the restriction of 1 mg/L, so we used electrodialysis to further treat the residual electrolyte and the nickel concentration has been reduced below 1 mg/L , which will be discussed in other paper.

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