A sustainable smart multi-type biofuel manufacturing with the optimum energy utilization under flexible production

2021 ◽  
pp. 129869
Author(s):  
Biswajit Sarkar ◽  
Bablu Mridha ◽  
Sarla Pareek
Keyword(s):  
Energy Utilization ◽  
Flexible Production ◽  
Optimum Energy

scholarly journals Designing an Energy Efficient Clustering in Heterogeneous Wireless Sensor Network

2021 ◽  
Vol 13 (1) ◽  
pp. 75-92
Author(s):  
Lakshmi M ◽  
Prashanth C R
Keyword(s):  
Energy Efficient ◽  
Cluster Head ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Mac Layer ◽  
Optimum Energy ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering ◽  
Secured Data

Designing an energy-efficient scheme in a Heterogeneous Wireless Sensor Network (HWSN) is a critical issue that degrades the network performance. Recharging and providing security to the sensor devices is very difficult in an unattended environment once the energy is drained off. A Clustering scheme is an important and suitable approach to increase energy efficiency and transmitting secured data which in turn enhances the performance in the network. The proposed algorithm Energy Efficient Clustering (EEC) works for optimum energy utilization in sensor nodes. The algorithm is proposed by combining the rotation-based clustering and energy-saving mechanism for avoiding the node failure and prolonging the network lifetime. This shows MAC layer scheduling is based on optimum energy utilization depending on the residual energy. In the proposed work, a densely populated network is partitioned into clusters and all the cluster heads are formed at a time and selected on rotation based on considering the highest energy of the sensor nodes. Other cluster members are accommodated in a cluster based on Basic Cost Maximum flow (BCMF) to allow the cluster head for transmitting the secured data. Carrier Sense Multiple Access (CSMA), a contention window based protocol is used at the MAC layer for collision detection and to provide channel access prioritization to HWSN of different traffic classes with reduction in End to End delay, energy consumption, and improved throughput and Packet delivery ratio(PDR) and allowing the cluster head for transmission without depleting the energy. Simulation parameters of the proposed system such as Throughput, Energy, and Packet Delivery Ratio are obtained and compared with the existing system.

scholarly journals Towards Optimum Energy Utilization by Using the Inverters for Industrial Production

2019 ◽  
Vol 39 ◽  
pp. 712-720
Author(s):  
Marco Bortolini ◽  
Maurizio Faccio ◽  
Francesco Gabriele Galizia ◽  
Mojtaba Nedaei ◽  
Francesco Pilati
Keyword(s):  
Industrial Production ◽  
Energy Utilization ◽  
Optimum Energy

scholarly journals A Study of Climate Data Using Least Square Method and the Fast Fourier Transform

2009 ◽  
Vol 6 (2) ◽  
pp. 31
Author(s):  
Masriah Awang ◽  
Zainazlan Md Zain ◽  
Nur Sa’aidah Ismail
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Least Squares Method ◽  
Least Square Method ◽  
Least Square ◽  
Energy Utilization ◽  
Climatic Data ◽  
Climate Data ◽  
Optimum Energy ◽  
External Conditions

Energy utilization in buildings continues to increase as the quality of life increases. Buildings are built in an environment in which the climate surrounding a building is a factor influencing the energy requirements for the building services. The higher the thermal stress due to external conditions, the higher the energy required to provide consistent building services. This paper discusses the different types of climate analyses for Subang. The climate data has been calculated using averaged hourly values per month. The least squares method and fast Fourier transform have been used to explore the data further and elucidate climatic data. The climatic data collected and presented include temperature distribution, solar radiation, relative humidity distribution, rainfall distribution, wind-speed distribution and pressure distribution were presented. The least square polynomial of degree four and ten were chosen to represent the climate data. The least square error and the norm of the residual for these two polynomials were the smallest obtained amongst the other polynomials. The coefficients of determination were also calculated. The Fast Fourier Transform (FFT) from the MATLAB toolbox was used to evaluate patterns within the climate data. The FFT shows the Fourier coefficient on the complex plane. These studies reveal the climate patterns that need to be considered for optimum energy utilization in buildings. 

scholarly journals Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2059 ◽  
Author(s):  
Mitali Sarkar ◽  
Biswajit Sarkar
Keyword(s):  
Energy Consumption ◽  
Production Rate ◽  
Production System ◽  
Spare Parts ◽  
Energy Utilization ◽  
Smart Manufacturing ◽  
Defective Items ◽  
Safety Stock ◽  
Random Breakdown ◽  
Optimum Energy

A smart production system is essential to produce complex products under the consumption of efficient energy. The main ramification of controllable production rate, amount of production size, and safety stocks is simultaneously optimized under proper utilization of energy within a smart production system with a random breakdown of spare parts. Due to the random breakdown, a greater amount of energy may be used. For this purpose, this study is concerned about the optimum safety stock level under the exact amount of energy utilization. For random breakdown, there are three cases as production inventory meets the demand without utilization of the safety stock, with using of the safety stock, and consumed the total safety stock amount and facing shortages. After the random breakdown time, the smart production system may move to an out-of-control state and may produce defective items, where the production rate of defective items is a random variable, which follows an exponential distribution. The total cost is highly nonlinear and cannot be solved by any classical optimization technique. A mathematical optimization tool is utilized to test the model. Numerical study proves that the effect of energy plays an important role for the smart manufacturing system even though random breakdowns are there. it is found that the controllable production rate under the effect of the optimum energy consumption really effects significantly in the minimization cost. It saves cost regarding the corrective and preventive maintenance cost. The amount of safety stock can have more support under the effect of optimum energy utilization. The energy can be replaced by the solar energy.

scholarly journals Guide Bracket Optimization and Manufacturing Using Rapid Prototyping

2019 ◽  
Vol 8 (11) ◽  
pp. 161-165
Keyword(s):  
Rapid Prototyping ◽  
Product Design ◽  
Weight Reduction ◽  
Cost Effective ◽  
Energy Utilization ◽  
Maximum Displacement ◽  
Suitable Material ◽  
Optimum Energy ◽  
Traditional Manufacturing ◽  
Effective Product

All modern manufacturing units are striving to develop a cost-effective product with optimized reduced weight by using CAE driven design process. In this scenario the product design is stimulated by structural optimization tools like geometrical (topology) optimization, shape optimization or size optimization. For conservation of natural resources and optimum energy utilization, weight reduction has been the main focus of machine tool manufacturers in the current state. Weight reduction can be achieved by the introduction of suitable material, manufacturing processes and design optimization. Geometrical optimization has developed an integral tool of product design and development. Geometry assisted design model gives optimized results which are better and innovative in terms of product design with improved structural performance and stability. Also, rapid prototyping has been used over traditional manufacturing and forming for the pattern making process which helps to reducing material wastage and time associated with tooling. The weight of guide bracket reduces from 2.7kg to 2.0kg. The maximum displacement is reducing from 0.016mm to 0.013mm.

scholarly journals Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 558
Author(s):  
Rajavelu Dharani ◽  
Madasamy Balasubramonian ◽  
Thanikanti Sudhakar Babu ◽  
Benedetto Nastasi
Keyword(s):  
Electric Energy ◽  
Electrical Energy ◽  
Time Of Day ◽  
Energy Utilization ◽  
Load Shifting ◽  
Use Of Time ◽  
Optimum Energy ◽  
Energy Billing ◽  
Tariff Structure ◽  
College Of Engineering

This paper analyzes the intelligent use of time-varying electrical load via developing efficient energy utilization patterns using demand-side management (DSM) strategies. This approach helps distribution utilities decrease maximum demand and electrical energy billing costs. A case study of DSM implementation of electric energy utility for an educational building Alagappa Chettiar Government College of Engineering and Technology (ACGCET) campus was simulated. The new optimum energy load model was established for peak and off-peak periods from the system’s existing load profile using peak clipping and load shifting DSM techniques. The result reflects a significant reduction in maximum demand from 189 kW to 170 kW and a reduction in annual electricity billing cost from $11,340 to $10,200 (approximately 10%) in the upgraded system. This work highlights the importance of time of day (TOD) tariff structure consumers that aid reduction in their distribution system’s maximum demand and demand charges.

scholarly journals Design and Development of a Guide Bracket for Horizontal band Sawing Machine by Geometrical Optimization

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Anish * and V.R.Naik Pramod Borkar ◽  
V.R. Naik
Keyword(s):  
Product Design ◽  
Weight Reduction ◽  
Cost Effective ◽  
Energy Utilization ◽  
Design And Development ◽  
Geometrical Optimization ◽  
Optimum Energy ◽  
Modern Manufacturing ◽  
Effective Product ◽  
Horizontal Band

All modern manufacturing units are striving to develop a cost effective product with optimized reduced weight by using CAE driven design process. In this scenario the product design is stimulated by structural optimization tools like geometrical (topology) optimization, shape optimization or size optimization. For conservation of natural resources and optimum energy utilization, weight reduction has been the main focus of machine tool manufacturers in the present scenario. Weight reduction can be achieved by the introduction of better material, better manufacturing processes and design optimization. In automobile and aircraft sector, geometrical optimization has become an integral tool of product design and development. Geometry (topology) assisted design model gives optimized results which are better and innovative in terms of product design with enhanced structural performance and stability. In other words, simulation saves time, reduces costs, and strengthens the competitiveness of companies, thus strengthened market position.

scholarly journals A comprehensive analysis of smart home energy management system optimization techniques

2018 ◽  
Vol 1 (1) ◽  
pp. 15 ◽  
Author(s):  
Tesfahun Molla1 ◽  
Baseem Khan1* ◽  
Pawan Singh2
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Management System ◽  
Smart Home ◽  
System Optimization ◽  
Optimization Techniques ◽  
Energy Utilization ◽  
Home Appliances ◽  
Optimum Energy ◽  
Home Energy Management

Development of smart grid technology provides an opportunity to various consumers in context for scheduling their energy utilization pattern by themselves. The main aim of this whole exercise is to minimize energy utilization and reduce the peak to average ratio (PAR) of power. The two way flow of information between electric utilities and consumers in smart grid opened new areas of applications. The main component is this management system is energy management controller (EMC), which collects demand response (DR) i.e. real time energy price from various appliances through the home gateway (HG). An optimum energy scheduling pattern is achieved by EMC through the utilization of DR information. This optimum energy schedule is provided to various appliances via HG. The rooftop photovoltaic system used as local generation micro grid in the home and can be integrated to the national grid. Under such energy management scheme, whenever solar generation is more than the home appliances energy demand, extra power is supplied back to the grid. Consequently, different appliances in consumer premises run in the most efficient way in terms of money. Therefore this work provides the comprehensive review of different smart home appliances optimization techniques, which are based on mathematical and heuristic one.

scholarly journals Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step Toward Sustainability

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 215
Author(s):  
Mitali Sarkar ◽  
Byung Do Chung
Keyword(s):  
Renewable Energy ◽  
Production System ◽  
Carbon Emission ◽  
Graphical Representation ◽  
Technological Development ◽  
Environmental Issues ◽  
Major Effect ◽  
Energy Utilization ◽  
Flexible Production ◽  
System A

Renewable energy and environmental issues are receiving considerable attention worldwide along with the technological development of production system for reducing global warming. Due to the use of smart technologies, the rate of carbon emission and energy utilization have become very high and are directly related to different industries. This study focuses on the effect of renewable energy on the advancement of smart production with a flexible production rate as well as the reduction of carbon emission to build a sustainable smart production system. A mathematical model is developed to maximize the profit of the smart production system for economic development while considering technological and environmental issues. The model is solved analytically, and we obtain closed and quasi-closed form solutions. A numerical experiment is performed, and a comparison with previous studies indicates that our method achieves more profit than existing ones. Additionally, we highlight the major effect of renewable energy. Different graphical representations of the decision variables prove the convergence of the model. A sensitivity analysis and graphical representation are presented in this paper, and some recommendations for industry are provided by simulating this model in different scenarios.

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