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Academic literature on the topic 'Industries Australia Energy consumption Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Industries Australia Energy consumption Mathematical models"

1

Austin, Oshin Ola. "Advanced Control And Development of Hydro and Diesel Generator Hybrid Power System Models for Renewable Energy Microgrids." Journal La Multiapp 2, no. 3 (August 11, 2021): 16–32. http://dx.doi.org/10.37899/journallamultiapp.v2i3.383.

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The Nigerian power problem resulted to incessant and erratic supply of electricity and this has destroyed many industrial processes in the country. It has reduced productivity and has increased unemployment rate in the country to over 50million (this figure is over 70% of Nigerian youths). This has led many of the youths in the country to crime. It has led to the deaths of many innocent people in the country. As of 2016, the electricity energy consumption in the world from the world fact book revealed that the average power per capita (watts per person) in the United States is 1,377 Watts. In Canada, it is 1704 Watts per person and in South Africa; it is 445 Watts per person and in Australia, average power per capita (watts per person) is as high as 1,112 Watts. Whereas, the average electricity consumed in watts per person in Nigeria is just 14 Watts. Unfortunately, this has put the country in a rank of 189 out of 219 countries estimated. In this research work, a Hybrid Electric Power System (HEPS) which comprises Hydro Electric Power Plant (HEPP) and Diesel Generator (DG) was modelled and a control algorithm was established to improve the performance of the system. Hybrid power system mathematical and Simulink models were developed. The output power of the developed Simulink model was be optimized using optimum power point optimization techniques and control algorithms. Simulink models of the two components of the Hybrid Electric Power System were produced using MATLAB/Simulink software. The develop Simulink models was interconnected and final model was developed. The results obtained revealed that the problems associated with conventional methods of power generation was overcomed by the development of this renewable and non-renewable energy resources Hybrid Electric Power System (HEPS) models.
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Yousif, Jabar H., and Khaled Abdalgader. "Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture." Computers 11, no. 1 (January 3, 2022): 7. http://dx.doi.org/10.3390/computers11010007.

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Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.
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3

Cong, Jing. "Research on the Factors Affecting Carbon Emissions Based on Multivariate Regression Models." Scientific and Social Research 4, no. 3 (March 16, 2022): 102–7. http://dx.doi.org/10.26689/ssr.v4i3.3664.

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Carbon peak and carbon neutrality are two new terms that are being mentioned more frequently, and the measurement of carbon emissions has become an important research topic. Based on relevant data, this paper studies the relationship and evolution law of the driving factors of carbon emissions from energy structure and industrial structure as well as the result factors of carbon emissions from energy consumption, and then establishes corresponding mathematical models. The driving factors, result factors, and relationship attributes that are difficult to measure in the carbon emissions from energy structure and industrial structure are analyzed to fathom the evolution law of carbon emissions and absorption. Based on the results, phased and global suggestions for carbon neutrality have been suggested, taking into account the characteristics of different industries and regions.
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Shapovalova, Mariya Ihorivna, and Oleksii Oleksandrovich Vodka. "Two-level mathematical models for determining the stress state and life plate with a hole." Bulletin of the National Technical University «KhPI» Series: Dynamics and Strength of Machines, no. 1 (December 31, 2021): 55–59. http://dx.doi.org/10.20998/2078-9130.2021.1.234843.

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Modern trends in the development of mechanical engineering and other industries related to the production of materials and structures with a given set of physical, mechanical, and technological properties are aimed at reducing material consumption, energy consumption, increasing accuracy, reliability, and competitiveness of the manufactured product. Therefore, the creation of mathematical methods for assessing the stress state of structural elements based on the analysis of the elastic characteristics of a material, taking into account the peculiarities of its internal microstructure, is an actual task. The considered algorithm includes the following stages: identification of strength parameters using data obtained from images of the material microstructure; study of the stress-strain state of the model based on the variational-difference finite element method; formation of a system of linear algebraic equations for solving the problem of analyzing the elastic properties of a material using the plane problem of the theory of elasticity; construction of the material yield surface for a series of tests based on the strength criteria of composite materials, taking into account the different resistance of the material under tensile and compressive loads. Based on the developed mathematical model, the SSS and the yield surface of the plate with a hole are estimated. Structural analysis is performed at the macro and micro levels. The occurrence of plastic deformations at the micro-level can lead to the development of cracks and structural damage at the macro level. As a result of the study, the probability of plastic deformation in the plate is determined, and the critical zones of the model are established. The practical significance of the results obtained is to create an approach to assessing the mechanical properties of a material, such as elastic modulus, shear modulus, Poisson's ratio, and their probabilistic characteristics following the internal material structure. The proposed approach contributes to the expansion of knowledge about the material and allows to increase the valuable information obtained by modeling. To assess the probability of plastic deformations, the generated method uses the entire set of probabilistic characteristics of the yield surface.
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5

Duan, Shaopei, Baokuan Li, and Wenjie Rong. "Numerical Simulation Study of Gas-Solid Heat Transfer and Decomposition Processes of Limestone Calcined with Blast Furnace Gas in a Parallel Flow Regenerative Lime Kiln." Materials 15, no. 11 (June 6, 2022): 4024. http://dx.doi.org/10.3390/ma15114024.

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Quicklime is an essential reducing agent in the steel smelting process and its calcination from limestone is accompanied by considerable energy consumption. As a relatively economical lime kiln, the Parallel Flow Regenerative (PFR) lime kiln is used as the main equipment for the production of quicklime by various steel industries. PFR lime kilns generally use natural gas as the fuel gas. Although natural gas has a high calorific value and is effective in calcination, with the increasing price of natural gas and the pressure saves energy and protect the environment, it makes sense of exploring the use of cleaner energy sources or other sub-products as fuel gas. The use of blast furnace gas (BFG) as a low calorific value fuel gas produced in the steel smelting process has been of interest. This paper therefore develops a set of mathematical models for gas-solid heat transfer and limestone decomposition based on a Porous Medium Model (PMM) and a Shrinking Core Model (SCM) to numerically simulate a PFR lime kiln using BFG in order to investigate the feasibility of calcining limestone with low calorific fuel gas and to provide a valuable reference for future development of such processes and the kiln structure improvement.
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Duan, Shaopei, Baokuan Li, and Wenjie Rong. "Numerical Simulation Study of Gas-Solid Heat Transfer and Decomposition Processes of Limestone Calcined with Blast Furnace Gas in a Parallel Flow Regenerative Lime Kiln." Materials 15, no. 11 (June 6, 2022): 4024. http://dx.doi.org/10.3390/ma15114024.

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Quicklime is an essential reducing agent in the steel smelting process and its calcination from limestone is accompanied by considerable energy consumption. As a relatively economical lime kiln, the Parallel Flow Regenerative (PFR) lime kiln is used as the main equipment for the production of quicklime by various steel industries. PFR lime kilns generally use natural gas as the fuel gas. Although natural gas has a high calorific value and is effective in calcination, with the increasing price of natural gas and the pressure saves energy and protect the environment, it makes sense of exploring the use of cleaner energy sources or other sub-products as fuel gas. The use of blast furnace gas (BFG) as a low calorific value fuel gas produced in the steel smelting process has been of interest. This paper therefore develops a set of mathematical models for gas-solid heat transfer and limestone decomposition based on a Porous Medium Model (PMM) and a Shrinking Core Model (SCM) to numerically simulate a PFR lime kiln using BFG in order to investigate the feasibility of calcining limestone with low calorific fuel gas and to provide a valuable reference for future development of such processes and the kiln structure improvement.
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7

Borges, Barbara, Rafael Defendi, Lillian Barros, and Joana S. Amaral. "Drying of Grape Pomace by Conventional and Intermittent Processes: Mathematical Modeling and Effect on the Phenolic Content and Antioxidant Activity." Proceedings 70, no. 1 (November 12, 2020): 96. http://dx.doi.org/10.3390/foods_2020-08010.

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During wine production, a large amount of waste (grape pomace) is generated, corresponding to about 31.7 kg per 100 L produced. This material is considered a rich source of bioactive compounds and therefore is of interest to several industries. However, grape pomace is susceptible to microbial degradation due to its high moisture content; thus, drying is frequently considered to be an essential process for grape pomace conservation and stabilization. Drying allows for a better conservation, easier storage due to the lower volume and improves product stability. However, drying conditions such as temperature and time may affect grape pomace bioactive potential. As drying requires a high energy consumption, an alternative for reducing the energy costs is the use of intermittent operation—i.e., operating with transient inputs of air conditions, such as the supply temperature. Intermittent drying, in addition to promoting lower energy consumption, also enables less damage to heat-sensitive materials. Thus, in the present work modeling of the drying process of grape skins from red wine grape pomace was performed at temperatures of 40, 55 and 70 °C, for drying in both the conventional and in the intermittent modes with tempering periods of 5 and 10 min. Moreover, total phenolic compounds, total flavonoids and antioxidant activity (DPPH and reducing power assays) were determined by spectrophotometric methods before and after the drying process at the proposed conditions. Modeling results for conventional operation showed that, among the eight models tested for the conventional drying, the one that best suited the experimental data was the approximation of diffusion model. For the intermittent drying operation, equations were deduced based on mass and energy balance that led to a fit with a maximum global deviation of 10% in comparison to experimental data. After extracting the same amount of sample (fresh and after different drying processes) with hydroethanolic solution (80%, v/v), results expressed in dry basis of grape pomace samples showed that conventional drying had the highest impact on lowering the content of bioactive compounds and antioxidant activity. Among the drying conditions assayed, the one that allowed the highest amounts of bioactive compounds to be maintained was the 5 min tempering period performed at 40 °C, corresponding to losses of 20.6% and 14.5% for total phenolic compounds and total flavonoids, respectively, when compared to the grape pomace sample before drying (162 mg gallic acid equivalents/g pomace, dry weight and 82 mg catechin equivalents/g pomace, d.w.). The present work showed that intermittent drying can provide grape pomace samples with higher contents of bioactive compounds and higher antioxidant activity when compared to conventional drying performed at the same temperature. Moreover, it provided information regarding the application of mathematical modeling to grape pomace drying, showing that these models can be applied to drying optimization studies.
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8

Synyuk, Oleg, Janusz Musiał, Borys Zlotenko, and Tetiana Kulik. "Development of Equipment for Injection Molding of Polymer Products Filled with Recycled Polymer Waste." Polymers 12, no. 11 (November 17, 2020): 2725. http://dx.doi.org/10.3390/polym12112725.

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Polymer waste of light industry and other industries is processed by chemical recycling and mechanical grinding. Modern equipment for polymer waste processing has the following drawbacks: significant energy consumption and reduced performance properties of recycled polymer. New technological processes and equipment for polymer waste recycling have been developed for the manufacture of light industry polymer products with increased performance characteristics. The manufacturing of such products was made possible by the development of the mathematical model, which describes the movement of a mixture of main polymer material and particles of recycled polymer waste in the process of filling a mold cavity. The model, in contrast to the existing models, allows observing the formation of the polymer product structure containing recycled waste particles. Improvement in the performance characteristics of shoe soles made by the injection molding of a mixture of polyvinylchloride and particles of recycled polyvinylchloride was confirmed by experimental tests of breaking strength and fatigue life. The results of these tests can be used in the design of processing equipment to obtain waste particles of the required shape and size and in the design of molds to provide the required concentration and orientation of waste particles in light industry polymer products.
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9

Allwright, Joshua, Akhlaqur Rahman, Marcus Coleman, and Ambarish Kulkarni. "Heavy Multi-Articulated Vehicles with Electric and Hybrid Power Trains for Road Freight Activity: An Australian Context." Energies 15, no. 17 (August 26, 2022): 6237. http://dx.doi.org/10.3390/en15176237.

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The electrification of vehicles from the automotive and public transport industries can reduce harmful emissions if implemented correctly, but there is little evidence of whether the electrification of heavy freight transportation vehicles (HFTVs), such as multi-articulated vehicles, used in the freight industry could see the same benefits. This work studied heavy multi-articulated freight vehicles and developed a comparative analysis between electric and conventional diesel power trains to reduce their total emissions. Real-world drive cycle data were obtained from a heavy multi-articulated freight vehicle operating around Melbourne, Australia, with a gross combination mass (GCM) of up to 66,000 kg. Numerical models of the case study freight vehicle were then simulated with diesel, through-the-road parallel (TTRP) hybrid and electric power trains over the five different drive cycles with fuel and energy consumption results quantified. Battery weights were added on top of the real-world operating GCMs to assure the operational payload did not have to be reduced to accommodate the addition of electric power trains. The fuel and energy consumptions were then used to estimate the real-world emissions and compared. The results showed a positive reduction in tailpipe emissions, but total greenhouse emission was worse for operation in Melbourne if batteries were charged off the grid. However, if Melbourne can move towards more renewable energy and change its emission factor for generating electricity down to 0.49 kg CO2-e/kWh, a strong decarbonization could be possible for the Australian road freight industry and could help meet emission reduction targets set out in the 2015 Paris Agreement.
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10

Bhowmik, Debottam, and Susanta Kumar Kakoti. "Fitting Regression Model and Optimization of Cutting Parameters In Order To Achieve Economical Machining Of a Cryogenic Soaked Magnesium Alloy." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 992–1024. http://dx.doi.org/10.22214/ijraset.2022.41402.

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Abstract: In present times many industries are giving more importance in reducing the overall cost of production and in this regard reduction in weight of the work material has become necessary which in turn reduces the power consumption required for machining and hence leads to reduction in overall costs. Thus usage of light weight materials has garnered deep interest in the industries. This project deals with the turning of Mg AZ31B alloy for the above stated reasons. The objective of this work is to optimize the influencing cutting parameters like speed, feed, depth of cut and approach angle of the cutting tool by using experimental engineering design techniques like Taguchi method of orthogonal array, analysis of variance method to compute contribution of each of these parameters on the quality of machined output. The response variables taken up for this analysis were surface roughness, material removal rate, tool wear rate and machining time as all these factors governs the quality of the machined product and hence relates to economics of machining. Regression models have been developed in order to study about the mathematical relation between the input cutting parameters and each of the output variables. Contour plots have been drawn to study about interactions between the input cutting parameters and its impact on the output variables. In order to study the effect of cryogenic soaking on the work specimen Vickers hardness test has been performed to check the enhancement of the hardness before and after cryogenic soaking. The experimental data shows that surface roughness is mostly affected by approach angle of the cutting tool whereas material removal rate, tool wear rate and machining time were mostly affected by depth of cut. From the confirmatory test it was evident that Taguchi analysis helps in optimizing the output variables. It was also observed that cryogenic soaking suitably increases the hardness of the material thus making it more machinable. Keywords: Economical Machining, Optimization, Taguchi method, CNC Turning, Mg AZ31B, Regression Modelling, Contour plots, Cryogenic Soaking.
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Books on the topic "Industries Australia Energy consumption Mathematical models"

1

Vallance, B. Interactive energy demand analysis: The MAED-BI model application in the Shanxi Province, PRC. Laxenburg, Austria: International Institute for Applied Systems Analysis, 1990.

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Törmä, Hannu. Essays in the demand for energy in Finnish manufacturing. Jyväskylä, Finland: Jyväskylän yliopisto, 1987.

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Ĭ, Samuĭli͡avichi͡us R., ed. Ėffektivnostʹ ispolʹzovanii͡a toplivno-ėnergeticheskikh resursov: Pokazateli, faktory rosta, analiz. Moskva: "Ėkonomika", 1988.

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Proskuryakov, V. M. Effektivnost' ispol'zovaniya toplivno-energeticheskikh resursov: Pokazateli, faktory rosta, naliz. Moskva: Ekonomika, 1988.

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J, McDonald Bradley, and United States. Dept. of Agriculture. Economic Research Service. Agriculture and Trade Analysis Division., eds. A Global analysis of energy prices and agriculture. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Chŏng, Han-gyŏng. Sanŏp pumun enŏji sobi pyọ̆nhwa yoin punsŏk: Chisu punsŏkpŏp kwa kyeryang kyŏngje punsŏk kipŏp ŭi kyŏrhap. Kyŏnggi-do Ŭiwang-si: Enŏji Kyŏngje Yŏnʼguwŏn, 2005.

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Mandal, Sabuj Kumar. Energy use efficiency in Indian cement industry: Application of data envelopment analysis and directional distance function. Bangalore: Institute for Social and Economic Change, 2009.

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S, Madheswaran, and Institute for Social and Economic Change, eds. Casuality between energy consumption and output growth in Indian cement industry: An application of panel vector error correction model. Bangalore: Institute for Social and Economic Change, 2010.

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S, Madheswaran, and Institute for Social and Economic Change, eds. Measuring energy use efficiency in presence of undesirable output: An application of data envelopment analysis (DEA) to Indian cement industry. Bangalore: Institute for Social and Economic Change, 2010.

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Conniffe, Denis. Energy elasticities: Responsiveness of demands for fuels to income and price changes. Dublin: Economic and Social Research Institute, 1990.

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