Control system for optimization of productivity and energy demand of batch-type centrifugals

2015 ◽  
pp. 217-223
Author(s):  
Dirk Seebaum ◽  
Anne Seidler ◽  
Sven Weidner ◽  
Bernd Brennecke
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Energy Demand ◽  
Reactive Power ◽  
Electrical Power ◽  
Capacity Utilization ◽  
Electrical Energy ◽  
Energy System ◽  
Total Energy Consumption ◽  
Batch Type

The demand for highest throughput at the best possible energy consumption are two of the main factors in designing and selecting batch-type centrifugals. While the first can be achieved by the size of centrifugals and electrical drives, the latter might be affected negatively if the demand for electrical energy is not controlled and managed properly. Besides the total energy consumption of the system, the demand pattern for electrical power might cause further requirements to local power supply or to the grid. This might lead to fluctuations in the energy supply with impact on the power house or the energy billing. Standard ways of interlocking the drives of multiple centrifugal stations can minimize these requirements but lead to reduced capacity utilization. Another common way to save energy is the operation of regenerative drive modules that allow supply of electrical energy back into the power network during deceleration. To avoid power problems like harmonic issues, reactive power, etc., with potentially costly electrical equipment malfunctions, the use of additional electrical components (conditioners, filters) for correction and reduction is advised. In a recent installation, an innovative approach to optimize power demand and reduce peak power was successfully introduced by BMA Automation. To minimize the issues mentioned above, a joint energy system for a multiple centrifugal station was created. Using the latest technology drive modules, yield was optimized by maintaining and exchanging the energy within the system. A superior control system was developed to allow for energy or productivity optimized operation of the centrifugals. The solution can be applied to both new systems and retrofit solutions for existing batch-type centrifugals.

scholarly journals Cost-Benefit Analysis of Hybrid Photovoltaic/Thermal Collectors in a Nearly Zero-Energy Building

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1582 ◽  
Author(s):  
Conti ◽  
Schito ◽  
Testi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Energy System ◽  
Primary Energy ◽  
Hot Water ◽  
Solar Thermal ◽  
Primary Energy Consumption ◽  
Solar Thermal Energy ◽  
Zero Energy

This paper analyzes the use of hybrid photovoltaic/thermal (PVT) collectors in nearly zero-energy buildings (NZEBs). We present a design methodology based on the dynamic simulation of the whole energy system, which includes the building energy demand, a reversible heat pump as generator, the thermal storage, the power exchange with the grid, and both thermal and electrical energy production by solar collectors. An exhaustive search of the best equipment sizing and design is performed to minimize both the total costs and the non-renewable primary energy consumption over the system lifetime. The results show that photovoltaic/thermal technology reduces the non-renewable primary energy consumption below the nearly zero-energy threshold value, assumed as 15 kWh/(m2·yr), also reducing the total costs with respect to a non-solar solution (up to 8%). As expected, several possible optimal designs exist, with an opposite trend between energy savings and total costs. In all these optimal configurations, we figure out that photovoltaic/thermal technology favors the production of electrical energy with respect to the thermal one, which mainly occurs during the summer to meet the domestic hot water requirements and lower the temperature of the collectors. Finally, we show that, for a given solar area, photovoltaic/thermal technology leads to a higher reduction of the non-renewable primary energy and to a higher production of solar thermal energy with respect to a traditional separate production employing photovoltaic (PV) modules and solar thermal (ST) collectors.

scholarly journals Electrical energy demand management in Russia

2018 ◽  
pp. 72-79
Author(s):  
A. P. Dzyuba ◽  
L. A. Soloveva
Keyword(s):  
Energy Consumption ◽  
Electric Power ◽  
Energy Demand ◽  
Demand Management ◽  
Electrical Energy ◽  
Energy System ◽  
Structural Features ◽  
Management Model ◽  
Electrical Energy Consumption ◽  
Energy Efficiency Improvement

One of the modern and effective tools for energy efficiency improvement at the level of national economies is management of the demand for electrical energy consumption. The mechanism of management of the demand for electrical energy consumption has a significant potential for energy efficiency improvement for the Russian economy, but due to structural features of the Unified Energy System of Russia, the Electrical Energy Demand Management Program is at the stage of concept development. A model of management of the demand for electrical energy consumption for Unified Energy System of Russia has been developed taking into account structural features of the electric power system. Peculiarities of the economic structure of Russia, which influence the formation of the structure of the country’s electric power complex, have been revealed. They were taken into account when developing requirements for the electrical energy demand management system in the Unified Energy System of Russia. The basic features are the multilevel form and hierarchy of the structure; they have been investigated in the process of developing the demand management model. The classification of electric power industry entities, related to processes of electric energy circulation and the influence on the management of the demand for electrical energy consumption, has been developed with economic interests of each entity within the framework of the demand management model. The electrical energy demand management model, which is based on the hierarchical structure of demand management, has been developed and covers the whole complex of management functions and takes into account features of demand management at each management level. The model allows to significantly improve the efficiency of management of the demand for electrical energy consumption, to ensure the quality of management.

scholarly journals Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers

2020 ◽  
Vol 12 (23) ◽  
pp. 10053
Author(s):  
Mohammad Dehghani ◽  
Mohammad Mardaneh ◽  
Om P. Malik ◽  
Josep M. Guerrero ◽  
Carlos Sotelo ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Demand ◽  
Power Plants ◽  
Human Life ◽  
Electrical Energy ◽  
Energy System ◽  
Quality Level ◽  
Energy Carriers ◽  
Carrier Energy

In recent years, energy consumption has notably been increasing. This poses a challenge to the power grid operators due to the management and control of the energy supply and consumption. Here, energy commitment is an index criterion useful to specify the quality level and the development of human life. Henceforth, continuity of long-term access to resources and energy delivery requires an appropriate methodology that must consider energy scheduling such as an economic and strategic priority, in which primary energy carriers play an important role. The integrated energy networks such as power and gas systems lead the possibility to minimize the operating costs; this is based on the conversion of energy from one form to another and considering the starting energy in various types. Therefore, the studies toward multi-carrier energy systems are growing up taking into account the interconnection among various energy carriers and the penetration of energy storage technologies in such systems. In this paper, using dynamic programming and genetic algorithm, the energy commitment of an energy network that includes gas and electrical energy is carried out. The studied multi-carrier energy system has considered defending parties including transportation, industrial and agriculture sectors, residential, commercial, and industrial consumers. The proposed study is mathematically modeled and implemented on an energy grid with four power plants and different energy consumption sectors for a 24-h energy study period. In this simulation, an appropriate pattern of using energy carriers to supply energy demand is determined. Simulation results and analysis show that energy carriers can be used efficiently using the proposed energy commitment method.

Energy savings potential of new aeration system: Full scale trials

2012 ◽  
Vol 7 (4) ◽  
Author(s):  
A. Lazić ◽  
V. Larsson ◽  
Å. Nordenborg
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Total Energy ◽  
Energy Savings ◽  
Treatment Plant ◽  
Full Scale ◽  
Total Energy Consumption ◽  
Aeration System ◽  
Fine Bubble ◽  
Aeration Control

The objective of this work is to decrease energy consumption of the aeration system at a mid-size conventional wastewater treatment plant in the south of Sweden where aeration consumes 44% of the total energy consumption of the plant. By designing an energy optimised aeration system (with aeration grids, blowers, controlling valves) and then operating it with a new aeration control system (dissolved oxygen cascade control and most open valve logic) one can save energy. The concept has been tested in full scale by comparing two treatment lines: a reference line (consisting of old fine bubble tube diffusers, old lobe blowers, simple DO control) with a test line (consisting of new Sanitaire Silver Series Low Pressure fine bubble diffusers, a new screw blower and the Flygt aeration control system). Energy savings with the new aeration system measured as Aeration Efficiency was 65%. Furthermore, 13% of the total energy consumption of the whole plant, or 21 000 €/year, could be saved when the tested line was operated with the new aeration system.

scholarly journals Energy Modeling and Power Measurement for Mobile Robots

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 27 ◽  
Author(s):  
Linfei Hou ◽  
Liang Zhang ◽  
Jongwon Kim
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Electrical Power ◽  
Energy Model ◽  
Energy Modeling ◽  
Power Measurement ◽  
Sensor System ◽  
System Control

To improve the energy efficiency of a mobile robot, a novel energy modeling method for mobile robots is proposed in this paper. The robot can calculate and predict energy consumption through the energy model, which provides a guide to facilitate energy-efficient strategies. The energy consumption of the mobile robot is first modeled by considering three major factors: the sensor system, control system, and motion system. The relationship between the three systems is elaborated by formulas. Then, the model is utilized and experimentally tested in a four-wheeled Mecanum mobile robot. Furthermore, the power measurement methods are discussed. The energy consumption of the sensor system and control system was at the milliwatt level, and a Monsoon power monitor was used to accurately measure the electrical power of the systems. The experimental results showed that the proposed energy model can be used to predict the energy consumption of the robot movement processes in addition to being able to efficiently support the analysis of the energy consumption characteristics of mobile robots.

scholarly journals Analysis of Energy System in Norway with Focus on Energy Consumption Prediction

2017 ◽  
Vol 9 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Maryam Hamlehdar ◽  
Alireza Aslani
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy System ◽  
High Energy ◽  
Regression Result ◽  
Industry Growth ◽  
The Status

Abstract Today, the fossil fuels have dominant share of energy supply in order to respond to the high energy demand in the world. Norway is one of the countries with rich sources of fossil fuels and renewable energy sources. The current work is to investigate on the status of energy demand in Norway. First, energy and electricity consumption in various sectors, including industrial, residential are calculated. Then, energy demand in Norway is forecasted by using available tools. After that, the relationship between energy consumption in Norway with Basic economics parameters such as GDP, population and industry growth rate has determined by using linear regression model. Finally, the regression result shows a low correlation between variables.

scholarly journals Use of mechanical resonance in impact machines

2018 ◽  
Vol 211 ◽  
pp. 17006
Author(s):  
Wieslaw Fiebig ◽  
Jakub Wrobel
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Demand ◽  
Drive System ◽  
Mechanical Resonance ◽  
Total Energy Consumption ◽  
At Resonance ◽  
Innovative Method ◽  
Drive Systems

An innovative method exploiting mechanical resonance in machines drive systems, especially useful in impact machines, has been developed. Accumulation of energy at resonance can be applied to the drive system in a similar way as flywheels in eccentric presses. Under resonance conditions, the total energy consumption of the oscillating mass is equal to the energy lost due the damping forces. Energy accumulated in the oscillator can be several times greater than the energy supplied continuously to the oscillator. The developed method can be used in many applications, especially in impacting machines. Finally, the energy demand of resonance punching press will be compared with the energy demand of eccentric press.

scholarly journals Modeling the Effect of Scrap on the Electrical Energy Consumption of an Electric Arc Furnace

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1044
Author(s):  
Leo S. Carlsson ◽  
Peter B. Samuelsson ◽  
Pär G. Jönsson
Keyword(s):  
Energy Consumption ◽  
Statistical Model ◽  
Electrical Energy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Melting Time ◽  
Arc Furnace ◽  
Total Energy Consumption ◽  
Data Set ◽  
Practical Usefulness

The melting time of scrap is a factor that affects the Electrical Energy (EE) consumption of the Electric Arc Furnace (EAF) process. The EE consumption itself stands for most of the total energy consumption during the process. Three distinct representations of scrap, based partly on the apparent density and shape of scrap, were created to investigate the effect of scrap on the accuracy of a statistical model predicting the EE consumption of an EAF. Shapley Additive Explanations (SHAP) was used as a tool to investigate the effects by each scrap category on each prediction of a selected model. The scrap representation based on the shape of scrap consistently resulted in the best performing models while all models using any of the scrap representations performed better than the ones without any scrap representation. These results were consistent for all four distinct and separately used cleaning strategies on the data set governing the models. In addition, some of the main scrap categories contributed to the model prediction of EE in accordance with the expectations and experience of the plant engineers. The results provide significant evidence that a well-chosen scrap categorization is important to improve a statistical model predicting the EE and that experience on the specific EAF under study is essential to evaluate the practical usefulness of the model.

Mississippi County Community College Solar Photovoltaic Total Energy Project

1979 ◽  
Author(s):  
E. M. Henry
Keyword(s):  
Community College ◽  
Energy Demand ◽  
Storage System ◽  
Vital Signs ◽  
Electrical Energy ◽  
Redox System ◽  
Energy System ◽  
Energy Storage System ◽  
Total System ◽  
Efficient Operation

Mississippi County Community College at Blytheville, Arkansas, will derive its total electrical and thermal energy demand from an actively cooled photovoltaic energy system being developed under the management of TEAM, Inc. of Springfield, Virginia. The facility has a design peak electrical requirement for 240 kw to be supplied by a 26-sun concentrating collector field that fully tracks E-W. A 2.4 megawatt-hour electrical energy storage system under consideration is an iron redox system using FeCl2 electrolyte and pressure-molded carbon/PVC electrodes. The power conditioning system will include a 300-kw solid-state inverter to furnish 480-v, three-phase, 60-Hz ac to the College, and appropriate switching to acquire utility company power in emergencies. Process control includes the capability to gather vital signs on the collectors, thermal loop, electrical storage and building demands, and to provide closed-loop tracking and all control signals for energy efficient operation of the total system.

scholarly journals CO2 and Air Pollutants Emissions under Different Scenarios Predicted by a Regional Energy Consumption Modeling System for Shanghai, China

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1006
Author(s):  
Jing Wang ◽  
Yan Zhang ◽  
Libo Wu ◽  
Weichun Ma ◽  
Limin Chen
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Urban Areas ◽  
Air Pollutants ◽  
Energy Demand ◽  
Carbon Tax ◽  
Model Simulation ◽  
Energy System ◽  
Energy Supply System ◽  
Regional Energy

About 75% energy demand and emissions all concentrate in urban areas, especially in the metropolises, placing a heavy burden on both the energy supply system and the environment system. To explore low emission pathways and provide policy recommendations for the Shanghai energy system and the environmental system to reach the carbon dioxide (CO2) peak by 2030 and attain emission reduction targets for local air pollutants (LAPs), a regional energy–environment optimization model was developed in this study, considering system costs, socio-economic development and technology. To verify the reliability of the model simulation and evaluate the model risk, a historical scenario was defined to calculate the emissions for 2004–2014, and the data were compared with the bottom-up emission inventory results. By considering four scenarios, we simulated the energy consumption and emissions in the period of 2020–2030 from the perspective of energy policies, economic measures and technology updates. We found that CO2 emissions might exceed the amount of 250 million tons by the end of 2020 under the current policy, and carbon tax with a price of 40 CNY per ton of carbon dioxide is an imperative measure to lower carbon emissions. Under the constraints, the emissions amount of SO2, NOx, PM10, and PM2.5 will be reduced by 95.3–180.8, 207.8–357.1, 149.4–274.5, and 59.5–119.8 Kt in 2030, respectively.

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