scholarly journals Energy-Efficient Production Planning Using a Two-Stage Fuzzy Approach

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1101
Author(s):  
Hsin-Chieh Wu ◽  
Horng-Ren Tsai ◽  
Tin-Chih Toly Chen ◽  
Keng-Wei Hsu
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Electricity Consumption ◽  
Product Yield ◽  
Programming Approach ◽  
Efficient Production ◽  
Fuzzy Approach ◽  
Two Stage ◽  
Yield Learning ◽  
The Relationship

Analyzing energy consumption is an important task for a factory. In order to accomplish this task, most studies fit the relationship between energy consumption and product design features, process characteristics, or equipment types. However, the energy-saving effects of product yield learning are rarely considered. To bridge this gap, this study proposes a two-stage fuzzy approach to estimate the energy savings brought about by yield improvement. In the two-stage fuzzy approach, a fuzzy polynomial programming approach is first utilized to fit the yield-learning process of a product. Then, the relationship between monthly electricity consumption and increase in yield was fit to estimate the energy savings brought about by the improvement in yield. The actual case of a dynamic random-access memory factory was used to illustrate the applicability of the two-stage fuzzy approach. According to the experiment results, product yield learning can greatly reduce electricity consumption.

scholarly journals Powertrain Optimization for Electric Buses under Optimal Energy-Efficient Driving

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6451
Author(s):  
Alexander Koch ◽  
Olaf Teichert ◽  
Svenja Kalt ◽  
Aybike Ongel ◽  
Markus Lienkamp
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Savings ◽  
Ride Comfort ◽  
Programming Approach ◽  
Automated Driving ◽  
Dynamic Programming Approach ◽  
Optimal Energy ◽  
Driving Cycles ◽  
Powertrain Configuration

State of the art powertrain optimization compares the energy consumption of different powertrain configurations based on simulations with fixed driving cycles. However, this approach might not be applicable to future vehicles, since speed advisory systems and automated driving functions offer the potential to adapt the speed profile to minimize energy consumption. This study aims to investigate the potential of powertrain optimization with respect to energy consumption under optimal energy-efficient driving for electric buses. The optimal powertrain configurations of the buses under energy-efficient driving and their respective energy consumptions are obtained using powertrain-specific optimized driving cycles and compared with those of human-driven unconnected buses and buses with non-powertrain-specific optimal speed profiles. Based on the results, new trends in the powertrain design of vehicles under energy-efficient driving are derived. The optimized driving cycles are calculated using a dynamic programming approach. The evaluations were based on the fact that the buses under energy-efficient driving operate in dedicated lanes with vehicle-to-infrastructure (V2I) communication while the unconnected buses operate in mixed traffic. The results indicate that deviating from the optimal powertrain configuration does not have a significant effect on energy consumption for optimized speed profiles; however, the energy savings from an optimized powertrain configuration can be significant when ride comfort is considered. The connected buses under energy-efficient driving operating in dedicated lanes may reduce energy consumption by up to 27% compared to human-driven unconnected buses.

Investigating energy consumption and economic growth for BRICS-T countries

2019 ◽  
Vol 16 (4) ◽  
pp. 184-195 ◽  
Author(s):  
Durmuş Çağrı Yıldırım ◽  
Seda Yıldırım ◽  
Isıl Demirtas
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Savings ◽  
Panel Cointegration ◽  
Cointegration Test ◽  
Real Output ◽  
Content Type ◽  
Natural Logarithm ◽  
Panel Cointegration Test ◽  
The Relationship

Purpose The purpose of this paper is to explore the relationship between energy consumption and economic growth for Brazil, Russia, China, India, South Africa and Turkey (BRICS-T) countries. In this context, this study investigates energy consumption and real output in BRICS-T countries through panel cointegration. Design/methodology/approach The data include energy consumption and real output for BRICS-T countries and period of 1990–2014. The variables are transformed into natural logarithm. To analyze these data, this study employed Pedroni cointegration test, the second-generation panel cointegration test, Westerlund and Edgerton (2008) test and FMOLS test. Findings Results indicate that there is a bi-directional causality relationship between energy consumption and economic growth for BRICS-T countries. An increase in GDP leads to an increase in energy consumption and an increase in energy consumption leads to an increase in GDP. Research limitations/implications This study used data that include the period of 1990–2014 for BRICS-T countries. So, further studies can use different periods of data or different countries. Originality/value This study provides important evidence that countries with strong growth performance need to follow bi-directional energy policies to increase both energy investments and ensure energy savings.

scholarly journals Electric energy consumption of milking process on some Finnish dairy farms

2017 ◽  
Vol 26 (3) ◽  
Author(s):  
Mari Rajaniemi ◽  
Tapani Jokiniemi ◽  
Laura Alakukku ◽  
Jukka Ahokas
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Electric Energy ◽  
Cooling Water ◽  
Electricity Consumption ◽  
Dairy Farms ◽  
Energy Costs ◽  
Heating Systems ◽  
Electric Energy Consumption ◽  
Energy Saving Potential

The aim of this study was to examine the electric energy consumption of milking process on dairy farms and to evaluate the methods to improve the energy efficiency. The electricity consumption of the milking process was measured on three dairy farms in Southern Finland, and it varied between 37–62 Wh kg-1 milk.  The largest energy saving potential was identified in milk cooling and the heating of cleaning water. Even simple methods, such as placing the condenser of the refrigeration system outside, may reduce the energy consumption of milk cooling by 30%. Efficient milk pre-cooling can reduce the energy consumption of the whole milking process by more than 25%. Even larger energy savings are possible with a sophisticated milk cooling – water heating systems. It was concluded that there is a significant potential to reduce the energy consumption and energy costs of the milking process, and thus to improve the profitability and sustainability of the sector at the same time.

IoT Based Energy Efficiency Monitoring in Stamping Workshop

2020 ◽  
Author(s):  
L. Gan ◽  
W. Xiong ◽  
L. Li ◽  
L. Zhu ◽  
H. Huang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Analysis ◽  
Data Storage ◽  
Energy Savings ◽  
Specific Energy Consumption ◽  
Efficient Production ◽  
Flow Energy ◽  
Wide Range ◽  
Analysis System

Abstract Stamping is employed in a wide range of applications including household appliances, automobiles, vessel, and aerospace. Due to the discrete flow energy-intensive processes and dynamic energy changes in stamping production, it has great potential for energy savings. There still lacks an effective method to monitor and analyze the energy efficiency in stamping workshop. To this end, this paper proposes an energy efficiency monitoring and analysis system based on Internet of Things (IoT). The characteristics in stamping workshop are first analyzed, the energy consumption is decomposed, and the makespan is quantified. Besides, energy efficiency indicators of energy efficiency in the press machine, specific energy consumption in the part, and energy efficiency in the workshop are analyzed and defined. Then the detailed information about the energy efficiency monitoring and analysis system as data acquisition, data transmission, data storage, data analysis, and display based on IoT is presented. Finally, a forklift stamping workshop was investigated to validate the effectiveness of the proposed method. The interface and the results of the data analysis showed that the proposed system can monitor the energy efficiency in the stamping workshop comprehensively. Furthermore, potential opportunities for energy consumption reduction and efficient production can be identified.

Study on the Influence of Key Factors in Sichuan Province Energy Conservation that Based on the Fixed Effect Model

2014 ◽  
Vol 644-650 ◽  
pp. 5943-5948
Author(s):  
Ce Chen ◽  
Xing Qi He
Keyword(s):  
Energy Consumption ◽  
Fixed Effects ◽  
Industrial Structure ◽  
Electricity Consumption ◽  
Fixed Effect Model ◽  
Sichuan Province ◽  
Growth Unit ◽  
Fixed Effects Model ◽  
Analysis Model ◽  
The Relationship

According to Sichuan Province 2006~2012 21 local power and energy consumption panel data, on the basis of the analysis of the electric consumption and energy consumption, the relationship between economic growth, unit GDP energy consumption and unit GDP electricity consumption, the relationship between the electricity consumption and energy consumption in the industry and the region, established analysis model of measurement of time individual fixed effects model. Have quantitative evaluation for the electricity consumption, the level of economic development, and the industrial structure to assess effects of saving energy and reducing consumption, and put forward the corresponding proposal.

scholarly journals Estimation of Direct and Indirect Household CO2 Emissions in 49 Japanese Cities with Consideration of Regional Conditions

2020 ◽  
Vol 12 (11) ◽  
pp. 4678 ◽  
Author(s):  
Yujiro Hirano ◽  
Tomohiko Ihara ◽  
Masayuki Hara ◽  
Keita Honjo
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Energy Use ◽  
Energy Savings ◽  
Climatic Conditions ◽  
Cold Regions ◽  
Large Cities ◽  
Direct Energy ◽  
The Relationship

We conducted a detailed estimation of direct and indirect CO2 emissions related to multi-person households in 49 Japanese cities. Direct energy consumption was decomposed into energy use in order to consider the relationship with regional conditions. The results showed that CO2 emissions from direct energy consumption were almost as large as indirect CO2 emissions induced by consuming products and services, suggesting that lifestyle improvements are important for both energy savings and reducing CO2 emissions relating to product and service consumption. In addition, CO2 emissions from direct energy consumption varied widely between cities, making them susceptible to regional conditions. We also calculated CO2 emissions from direct energy consumption and examined the regional conditions for individual forms of energy use. CO2 emissions were higher in cold regions and lower in larger cities. In Japan, large cities are often located in relatively warm areas, so we conducted an analysis to distinguish the effects of climatic conditions from those of urbanization. This analysis allowed us to clarify the effects of regional conditions on factors such as heating/cooling and the ratio of detached houses to apartments.

Impact of energy efficiency on computer numerically controlled machining

2009 ◽  
Vol 224 (4) ◽  
pp. 531-541 ◽  
Author(s):  
S E Anderberg ◽  
S Kara ◽  
T Beno
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Environmental Performance ◽  
Cost Efficiency ◽  
Energy Savings ◽  
Cost Model ◽  
Machining Parameters ◽  
Computer Numerically Controlled ◽  
The Relationship ◽  
Environmental Demands

Increasing environmental demands from governmental bodies and customers stress the importance of companies improving their environmental performance. The research presented here shows that productivity and cost efficiency improvements can be achieved alongside energy savings in a computer numerically controlled machining environment. This improves the profitability of the companies, but also leads them towards more sustainable and environmentally aware manufacturing; the relationship between machining parameters, machining costs, and energy consumption is evaluated. From this perspective, it is important that production planners etc. understand the methodological possibilities for improvements in cost and energy efficiency. The current research is based on a machining cost model and experiments where energy consumption and tool wear were monitored.

Economic growth and energy consumption nexus in Pakistan

2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Policy Implications ◽  
Per Capita Income ◽  
Content Type ◽  
Per Capita ◽  
The Relationship

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.

scholarly journals Impact of the COVID-19 Pandemic on the Energy Use at the University of Almeria (Spain)

2021 ◽  
Vol 13 (11) ◽  
pp. 5843
Author(s):  
Mehdi Chihib ◽  
Esther Salmerón-Manzano ◽  
Mimoun Chourak ◽  
Alberto-Jesus Perea-Moreno ◽  
Francisco Manzano-Agugliaro
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Electricity Consumption ◽  
Energy Performance ◽  
Energy Sector ◽  
Wide Range ◽  
University Buildings ◽  
The University ◽  
The Impact

The COVID-19 pandemic has caused chaos in many sectors and industries. In the energy sector, the demand has fallen drastically during the first quarter of 2020. The University of Almeria campus also declined the energy consumption in 2020, and through this study, we aimed to measure the impact of closing the campus on the energy use of its different facilities. We built our analysis based upon the dataset collected during the year 2020 and previous years; the patterns evolution through time allowed us to better understand the energy performance of each facility during this exceptional year. We rearranged the university buildings into categories, and all the categories reduced their electricity consumption share in comparison with the previous year of 2019. Furthermore, the portfolio of categories presented a wide range of ratios that varied from 56% to 98%, the library category was found to be the most influenced, and the research category was found to be the least influenced. This opened questions like why some facilities were influenced more than others? What can we do to reduce the energy use even more when the facilities are closed? The university buildings presented diverse structures that revealed differences in energy performance, which explained why the impact of such an event (COVID-19 pandemic) is not necessarily relevant to have equivalent variations. Nevertheless, some management deficiencies were detected, and some energy savings measures were proposed to achieve a minimum waste of energy.

scholarly journals Possibilities of Increasing of Energy Efficiency in a Small Enterprises - Case Study

2021 ◽  
Vol 16 (2) ◽  
pp. 395-402
Author(s):  
Milan Perný ◽  
Vladimír Šály ◽  
Milan Andráš ◽  
Lukáš Valášek ◽  
Juraj Packa
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
Current Trend ◽  
Electricity Consumption ◽  
Small Enterprises ◽  
Step Model ◽  
Building Operation ◽  
A Current

Reducing the electricity consumption is a current trend which has an economic, social and environmental impact. Measures which are outlined to increase efficiency are also supported by legislation and could be funded from the national or European funds in EU countries. In Slovakia, there are many establishments, public buildings and households built in past decades where energy is being wasted. Approximately the share one third of the consumed energy in Slovakia belongs to industry. This statistic naturally legitimizes the effort to achieve energy savings in this segment. We choose a body which is in use partially as commercial offices and partially as production facility. The matter was to identify areas with excessive energy consumption and propose appropriate measures to avoid unnecessary losses. The paper presents more aspects of building operation regarding of energy consumption, especially in relation with old buildings with more structural and operational defects and propose some ways of the improvements the energy efficiency. The work also includes experimental data and simplified economy considerations related to the proposed measures. Finally the step model is presented in order to simplify the decision making process. The model is relevant and also applicable generally for the other engineering disciplines.

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