scholarly journals THE CONTROL OF FLEXIBLE AUTOMATED PRODUCTION OF THE SCRAPER CONVEYERS

2021 ◽  
Vol 2 (446) ◽  
pp. 189-197
Author(s):  
L. G. Shpakova ◽  
E. Moraru ◽  
B. N. Feshin ◽  
K. M. Tokhmetova ◽  
Ye. V. Kalashnikova
Keyword(s):  
Energy Consumption ◽  
Control Systems ◽  
Production Line ◽  
Energy Savings ◽  
Optimization Methods ◽  
Automated Production ◽  
Technological Processes ◽  
Industrial Complexes ◽  
Virtual Modeling ◽  
Electromechanical Equipment

The analysis of possible energy saving in in the technological process of production of elements of scraper conveyors containing flexible automated production is given. It consists of complex subordinate aggregate installations consisting of conveyor lines, robot manipulators and tripods. The studied technological processes and control systems for electric drives of actuators are multi-connected, distributed in space, stochastic and multidimensional in the number of control and monitoring coordinates. It is proposed a methodology of reducing energy consumption of actuators by means of physical-virtual modeling and parameterization based on estimates of energy costs, by means of planning factor experiments, steep ascending in the anti-gradient direction of integral quadratic estimates of the control system, which are proportional to the costs of electricity in transient modes of actuators. The methodology, in comparison with the well-known optimization methods, is invariant to the type of products developed in flexible automated production, to the laws of distribution of the semi-finished products flows entering the production line, and is focused on predicting the boundaries of the saved energy and the life of the electromechanical equipment and improving reliability of electric drive control systems operation as a part of industrial complexes. The uniqueness of the method consists in applicability of the developed algorithm of evaluating energy savings and optimizing technological processes according to the criterion of energy consumption in real time in the condi- tions of the probabilistic situation of input parameters, regardless of the selected method of setting the optimal parameters of production line facilities.

scholarly journals A system to monitor and model the thermal isolation of coating compounds applied to closed spaces

2020 ◽  
Vol 24 (3 Part A) ◽  
pp. 1885-1892
Author(s):  
Montes Florez ◽  
de Fernández ◽  
Calvet Higón ◽  
Alberto Conejero ◽  
José-Luis Poza-Luján
Keyword(s):  
Experimental Data ◽  
Energy Consumption ◽  
Control Systems ◽  
Energy Savings ◽  
New Technologies ◽  
Thermal Evolution ◽  
Closed Space ◽  
Thermal Isolation ◽  
Coating Solution ◽  
Smart Control

Smart control systems and new technologies are necessary to reduce the energy consumption in buildings while achieving thermal comfort. In this work, we monitor the thermal evolution inside a scale reduced closed space whose exterior and/ or interior wall faces have been painted with a coating solution. Based on the experimental data obtained under different environmental conditions, a simulator was developed and tuned to reproduce the thermodynamic behavior inside the spaces, with a relative error of less than 3.5%. This simulator lets us also estimate energy savings, temperature, and flux behavior under other conditions.

scholarly journals Optimal Energy Consumption Analysis of Natural Gas Pipeline

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Enbin Liu ◽  
Changjun Li ◽  
Yi Yang
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Energy Savings ◽  
Solution Process ◽  
Optimization Methods ◽  
High Energy ◽  
Gas Pipeline ◽  
Dynamic Programming Method ◽  
Long Distance ◽  
Optimal Energy

There are many compressor stations along long-distance natural gas pipelines. Natural gas can be transported using different boot programs and import pressures, combined with temperature control parameters. Moreover, different transport methods have correspondingly different energy consumptions. At present, the operating parameters of many pipelines are determined empirically by dispatchers, resulting in high energy consumption. This practice does not abide by energy reduction policies. Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. Using established optimization methods, we analyzed the energy savings for the XQ gas pipeline. By optimizing the boot program, the import station pressure, and the temperature parameters, we achieved the optimal energy consumption. By comparison with the measured energy consumption, the pipeline now has the potential to reduce energy consumption by 11 to 16 percent.

Saving Primary Energy Consumption Through Exergy Analysis of Combine Distillation and Power Plant

2012 ◽  
Vol 9 (2) ◽  
pp. 65
Author(s):  
Alhassan Salami Tijani ◽  
Nazri Mohammed ◽  
Werner Witt
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Heat Pump ◽  
Heat Recovery ◽  
Energy Savings ◽  
Primary Energy ◽  
Heat Pumps ◽  
Saturated Steam ◽  
Distillation Unit ◽  
Primary Energy Consumption

Industrial heat pumps are heat-recovery systems that allow the temperature ofwaste-heat stream to be increased to a higher, more efficient temperature. Consequently, heat pumps can improve energy efficiency in industrial processes as well as energy savings when conventional passive-heat recovery is not possible. In this paper, possible ways of saving energy in the chemical industry are considered, the objective is to reduce the primary energy (such as coal) consumption of power plant. Particularly the thermodynamic analyses ofintegrating backpressure turbine ofa power plant with distillation units have been considered. Some practical examples such as conventional distillation unit and heat pump are used as a means of reducing primary energy consumption with tangible indications of energy savings. The heat pump distillation is operated via electrical power from the power plant. The exergy efficiency ofthe primary fuel is calculated for different operating range ofthe heat pump distillation. This is then compared with a conventional distillation unit that depends on saturated steam from a power plant as the source of energy. The results obtained show that heat pump distillation is an economic way to save energy if the temperaturedifference between the overhead and the bottom is small. Based on the result, the energy saved by the application of a heat pump distillation is improved compared to conventional distillation unit.

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.

Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration

2021 ◽  
Author(s):  
Cai-Xia Zhang ◽  
Shu-Lin Dong ◽  
Hong-Yan Chu ◽  
Guo-Zhi Ding ◽  
Zhi-Feng Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Production Line ◽  
Layout Design ◽  
Mixed Flow ◽  
Processing Energy

scholarly journals An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target

2021 ◽  
Vol 13 (15) ◽  
pp. 8670
Author(s):  
Xiwen Cui ◽  
Shaojun E ◽  
Dongxiao Niu ◽  
Dongyu Wang ◽  
Mingyu Li
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Optimization Methods ◽  
Support Vector ◽  
The Sustainable Development ◽  
Consumption Data ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Carbon Peak

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

scholarly journals Modeling Energy LED Light Consumption Based on an Artificial Intelligent Method Applied to Closed Plant Production System

2021 ◽  
Vol 11 (6) ◽  
pp. 2735
Author(s):  
Ernesto Olvera-Gonzalez ◽  
Martín Montes Rivera ◽  
Nivia Escalante-Garcia ◽  
Eduardo Flores-Gallegos
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Nonlinear Models ◽  
Light Emitting Diode ◽  
Red Light ◽  
Green Light ◽  
Plant Production ◽  
Production Plant ◽  
Light Component ◽  
Gp Model

Artificial lighting is a key factor in Closed Production Plant Systems (CPPS). A significant light-emitting diode (LED) technology attribute is the emission of different wavelengths, called light recipes. Light recipes are typically configured in continuous mode, but can also be configured in pulsed mode to save energy. We propose two nonlinear models, i.e., genetic programing (GP) and feedforward artificial neural networks (FNNs) to predict energy consumption in CPPS. The generated models use the following input variables: intensity, red light component, blue light component, green light component, and white light component; and the following operation modes: continuous and pulsed light including pulsed frequency, and duty cycle as well energy consumption as output. A Spearman's correlation was applied to generate a model with only representative inputs. Two datasets were applied. The first (Test 1), with 5700 samples with similar input ranges, was used to train and evaluate, while the second (Test 2), included 160 total datapoints in different input ranges. The metrics that allowed a quantitative evaluation of the model's performance were MAPE, MSE, MAE, and SEE. Our implemented models achieved an accuracy of 96.1% for the GP model and 98.99% for the FNNs model. The models used in this proposal can be applied or programmed as part of the monitoring system for CPPS which prioritize energy efficiency. The nonlinear models provide a further analysis for energy savings due to the light recipe and operation light mode, i.e., pulsed and continuous on artificial LED lighting systems.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

scholarly journals On the Optimization of Electrical Water Heaters: Modelling Simulations and Experimentation

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3912
Author(s):  
Wassim Salameh ◽  
Jalal Faraj ◽  
Elias Harika ◽  
Rabih Murr ◽  
Mahmoud Khaled
Keyword(s):  
Experimental Study ◽  
Energy Consumption ◽  
Parametric Study ◽  
Thermal Model ◽  
Energy Savings ◽  
Input Power ◽  
Energy Crisis ◽  
Water Heaters ◽  
World Energy ◽  
Electrical Components

In the context of a world energy crisis, the only solution to control the situation is in the management of energy. One of the most important management keys is the optimization of electrical components. This article presents a complete numerical and experimental study aiming for the optimization of electrical water heaters for household use. The optimization conceives the minimization of energy consumption simultaneously with the minimization of time to heat water. Firstly, a thermal model well adapted for the case of heaters is constructed and validated experimentally and then a parametric study is conducted covering all the input power, the volume and the external area of the heater. Results are promising, showing significant energy savings are possible with an optimum setting of these parameters, thus presenting a firm tool for the optimization of heaters.

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