scholarly journals Fuel Costs Minimization on a Steel Billet Reheating Furnace Using Genetic Algorithms

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Harley S. O. Santos ◽  
Paulo E. M. Almeida ◽  
Rodrigo T. N. Cardoso
Keyword(s):  
Genetic Algorithms ◽  
Fuel Consumption ◽  
Computational Simulation ◽  
Optimal Operation ◽  
Homogeneous Material ◽  
Reheating Furnace ◽  
Steel Billet ◽  
Discharge Temperature ◽  
Manufactured Products ◽  
Fuel Costs

Metallurgy industries often use steel billets, at a proper temperature, to achieve the desired metallurgical, mechanical, and dimensional properties of manufactured products. Optimal operation of steel billet reheating furnaces requires the minimization of fuel consumption while maintaining a homogeneous material thermal soak. In this study, the operation of a reheating furnace is modeled as a nonlinear optimization problem with the goal of minimizing fuel cost while satisfying a desired discharge temperature. For this purpose, a genetic algorithms approach is developed. Computational simulation results show that it is possible to minimize costs for different charge temperatures and production rates using the implemented method. Additionally, practical results are validated with actual data, in a specific scenario, showing a reduction of 3.36% of fuel consumption.

scholarly journals Function Value-Based Multi-Objective Optimisation of Reheating Furnace Operations Using Hooke-Jeeves Algorithm

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2324 ◽  
Author(s):  
Bo Gao ◽  
Chunsheng Wang ◽  
Yukun Hu ◽  
C. K. Tan ◽  
Paul Alun Roach ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Thermal Efficiency ◽  
Search Algorithm ◽  
Objective Functions ◽  
Control Zone ◽  
Set Point ◽  
Reheating Furnace ◽  
Multi Objective ◽  
Discharge Temperature ◽  
Artificial Neural

Improved thermal efficiency in energy-intensive metal-reheating furnaces has attracted much attention recently in efforts to reduce both fuel consumption, and CO2 emissions. Thermal efficiency of these furnaces has improved in recent years (through the installation of regenerative or recuperative burners), and improved refractory insulation. However, further improvements can still be achieved through setting up reference values for the optimal set-point temperatures of the furnaces. Having a reasonable expression of objective function is of particular importance in such optimisation. This paper presents a function value-based multi-objective optimisation where the objective functions, which address such concerns as discharge temperature, temperature uniformity, and specific fuel consumption, are dependent on each other. Hooke-Jeeves direct search algorithm (HJDSA) was used to minimise the objective functions under a series of production rates. The optimised set-point temperatures were further used to construct an artificial neural network (ANN) of set-point temperature in each control zone. The constructed artificial neural networks have the potential to be incorporated into a more advanced control solution to update the set-point temperatures when the reheating furnace encounters a production rate change. The results suggest that the optimised set-point temperatures can highly improve heating accuracy, which is less than 1 °C from the desired discharge temperature.

scholarly journals Proposal of optimal operation strategy applied to water distribution network with statistical approach

2020 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Alex Takeo Yasumura Lima Silva ◽  
Fernando Das Graças Braga da Silva ◽  
André Carlos da Silva ◽  
José Antonio Tosta dos Reis ◽  
Claudio Lindemberg de Freitas ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Optimization Techniques ◽  
Experimental Techniques ◽  
Computational Optimization ◽  
Depth Analysis

 Inefficiency of sanitation companies’ operation procedures threatens the population’s future supplies. Thus, it is essential to increase water and energy efficiency in order to meet future demand. Optimization techniques are important tools for the analysis of complex problems, as in distribution networks for supply. Currently, genetic algorithms are recognized by their application in literature. In this regard, an optimization model of water distribution network is proposed, using genetic algorithms. The difference in this research is a methodology based on in-depth analysis of results, using statistics and the design of experimental tools and software. The proposed technique was applied to a theoretical network developed for the study. Preliminary simulations were accomplished using EPANET, representing the main causes of water and energy inefficiency in Brazilian sanitation companies. Some parameters were changed in applying this model, such as reservoir level, pipe diameter, pumping pressures, and valve-closing percentage. These values were established by the design of experimental techniques. As output, we obtained the equation of response surface, optimized, which resulted in values of established hydraulic parameters. From these data, the obtained parameters in computational optimization algorithms were applied, resulting in losses of 26.61%, improvement of 16.19 p.p. with regard to the network without optimization, establishing an operational strategy involving three pumps and a pressure-reducing valve.  We conclude that the association of optimization and the planning of experimental techniques constitutes an encouraging method to deal with the complexity of water-distribution network optimization.

Design and Operation of a Hybrid CCHP System Including PV-Wind Devices

2013 ◽  
Author(s):  
J. L. Wang ◽  
J. Y. Wu ◽  
C. Y. Zheng
Keyword(s):  
Fuel Consumption ◽  
Internal Combustion Engines ◽  
High Efficiency ◽  
Waste Heat ◽  
Internal Combustion ◽  
Energy System ◽  
Optimal Operation ◽  
Combustion Engines ◽  
Wind System ◽  
Fuel Price

CCHP systems based on internal combustion engines have been widely accepted as efficient distributed energy resources systems. CCHP systems can be efficient mainly because that the waste heat of engines can be recovered and used. If the waste heat is not used, CCHP systems may not be beneficial choices. PV-wind systems can generate electricity without fuel consumption, but the electric output depends on the weather, which is not reliable. A PV-wind system can be integrated into a CCHP system to form a higher efficient energy system. Actually, a hybrid energy system based on PV-wind devices and internal combustion engines has been studied by many researchers. But the waste heat of the engine is seldom considered in the previous work. Researches show that, 20∼30% energy can be converted into electricity by a small size engine while more than 70% is released. If the waste heat is not recovered, the system cannot reach a high efficiency. This work aims to analyze a hybrid CCHP system with PV-wind devices. Internal combustion engines are the prime movers whose waste heat is recovered for house heating or driving absorption chillers. PV-wind devices are added to reduce the fuel consumption and total cost. The optimal design method and optimal operation strategy are proposed basing on hourly analyses. Influences of the device cost and fuel price on the optimal dispatch strategies are discussed. Results show that all of the excess energy from the PV-wind system is not worth being stored by the battery. The hybrid CCHP system can be more economical and higher efficient in the studied case.

scholarly journals Analisis Pengaruh Perubahan Beban Terhadap Biaya Bahan Bakar Pembangkitan Pada PLTU Barru

2021 ◽  
Vol 19 (1) ◽  
pp. 88
Author(s):  
La Ode Musa ◽  
Musrady Mulyadi ◽  
Muh. Fachriyadi Hastira ◽  
Hasniaty Hasniaty
Keyword(s):  
Fuel Consumption ◽  
Economic Dispatch ◽  
Input Output ◽  
Total Cost ◽  
Average Load ◽  
The Cost ◽  
Fuel Costs

The effect of changes in load on the cost of fuel generation at PLTU Barru is analyzed using the economic dispatch method to determine the characteristics of input-output and incremental fuel costs. Based on the results of the analysis, it is known that the effect of changes in load on the cost of fuel generation at PLTU Barru tends to be directly proportional, where the higher the load generated, the higher the costs incurred. As in June, to produce 33.85 MW of power the total cost is Rp. 457,687,187.47/hour required. Likewise, if the power at an average load of 33.85 MW increases by 1 MWh it will result in an increase in costs of Rp. 13,306,061.24/MWh, but in certain circumstances such as in November with a power of 29.83 MW it will produce the total cost is quite low at Rp. 337,356,512,63/hour. This situation is caused by fuel consumption in November only amounted to 3029.61 T/h.

scholarly journals Optimization of Fuel Costs Using the Information System

2013 ◽  
Vol 1 (1) ◽  
pp. 1-3
Author(s):  
Dušan Halaj ◽  
Keyword(s):  
Information System ◽  
Fuel Consumption ◽  
Freight Transport ◽  
Road Freight ◽  
Fuel Costs

The paper deals with optimizing fuel consumption through the use of information system in road freight transport. The aim is to calculate and compare the costs for an operation with the information system as well as without it.

scholarly journals The moving-slab Heating in the furnace for various production plans

REAKTOR ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Istadi Istadi ◽  
Y. Bindar ◽  
Koswara Koswara
Keyword(s):  
Mathematical Model ◽  
Temperature Distribution ◽  
Future Development ◽  
Computational Simulation ◽  
Production Plan ◽  
Operational Parameters ◽  
Heating Curve ◽  
Reheating Furnace ◽  
Length Group ◽  
Production Plans

The reheating furnace in occasional production time has to be charged with slabs having fifferent sizes in length, ridth and thickness. This production plan was put due to economical and productivity consideration. Moreover in the future development, the slab grade might be improved to hight grades. It is our expectation that the furnace can be fire for different production plans above. The strategy for firing the burners from zone to zone has to  be determined precisely to meet the designed heating curves for the various slab. A suggest to guide in the formulations of the furnace firing strategy was developed in this work. This suggestion is based on three-dimentional mathematical model for heated slab in the furnace. This mathematical model was coded  for the computational simulation. The  code was able to simulate  furnacthree-dimentional effect of fuenace operational parameters and variety of slab length group. The result reasonably represent the slab-heating curve for different operational parameters. Unsymmetrical firing practices can be shown their effect to the 3D temperature distribution of the slab. Keywords : 3Dtemperature distribution, reheating furnace, slab heating, slab length group

Reducing Cost and Environmental Impacts through Hybrid Power Options

2015 ◽  
Author(s):  
Haakon Lindstad ◽  
Gunnar S. Eskeland ◽  
Hans Mørch ◽  
Harilaos Psaraftis ◽  
Inge Sandaas
Keyword(s):  
Fuel Consumption ◽  
Peak Power ◽  
Internal Combustion Engines ◽  
Combustion Engines ◽  
Speed Reduction ◽  
Fuel Prices ◽  
Hybrid Power ◽  
Hybrid Solutions ◽  
Operational Range ◽  
Fuel Costs

Power solutions for seagoing vessels have typically been designed to enable operation at maximum economic speeds based on hydrodynamic considerations, and to ensure that vessels have the necessary power to be seaworthy and maneuverable in heavy weather and in high sea states. Historically, fuel costs have been low compared to fixed and other variable costs, but more recently, rising fuel prices and environmental concerns have made it more attractive to reduce fuel consumption through lower steaming speeds. Since speed reduction drastically reduces power requirements, it has become common to operate at 15 to 50% of the installed power in calm to moderate sea conditions. When engines operate at low power, fuel consumption per kWh produced power increases slightly, while the emissions of exhaust gases increase rapidly due to incomplete combustion. This study investigates flexible hybrid power solutions, i.e. power take out (PTO), power take in (PTI) and batteries in combination with internal combustion engines. The focus is on the full operational range from being idle at berth to the peak power needed in critical situations in high sea states. Our results indicate that hybrid solutions are cost-competitive with traditional engine setups. They also reduce the environmental impact, including greenhouse gas emissions and cost effectively satisfies IMO’s energy efficiency requirements (EEDI).

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