scholarly journals Study On Energy Saving Power Consumption Characteristics Of Idle Time In The University

2015 ◽  
Author(s):  
Liming Wei ◽  
Xueying Lv
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Idle Time ◽  
The University

scholarly journals Plan of the Modification of Public Lighting in Frosinone in Accordance with the Rule for the Limitation of Light-Pollution and Power Consumption

2001 ◽  
Vol 196 ◽  
pp. 126-129
Author(s):  
M. Di Sora
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Light Pollution

The plan for modification of public lighting in Frosinone, in accordance with the rule for the limitation of light-pollution and power consumption, is summarized. The energy saving obtained is 40% per year, equivalent to over US$222,000.

scholarly journals Optimizing Power Consumption of Freight Railroad Bearings Using Laboratory Experimental Data

2020 ◽  
Author(s):  
Carlos E. Lopez ◽  
Constantine Tarawneh ◽  
Arturo Fuentes ◽  
Harry Siegal
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Consumption ◽  
Optimal Operating ◽  
Speed Condition ◽  
Load Train ◽  
Train Speed ◽  
Railroad Bearings ◽  
Railroad Bearing ◽  
The University

Abstract Based on projected freight truck fuel efficiency, freight railroad and equipment suppliers need to identify, evaluate and implement technologies and/or operating practices to maintain traditional railroad economic competitiveness. The railway industry uses systems that record the total energy efficiency of a train but not energy efficiency or consumption by components. Lowering the energy consumption of certain train components will result in an increase in its overall energy efficiency, which will yield cost benefits for all the stakeholders. One component of interest is the railroad bearing whose power consumption varies depending on several factors that include railcar load, train speed, condition of bearing whether it is healthy or defective, and type of defect. Being able to quantify the bearing power consumption, as a function of the variables mentioned earlier, would make it possible to obtain optimal operating condition ranges that minimize energy consumption and maximize train energy efficiency. Several theoretical studies were performed to estimate the power consumption within railroad bearings, but those studies lacked experimental validation. For almost a decade now, the University Transportation Center for Railway Safety (UTCRS) at the University of Texas Rio Grande Valley (UTRGV) has been collecting power consumption data for railroad bearings under various loads, speeds, ambient temperatures, and bearing condition. The objective of this ongoing study is to use the experimentally acquired power consumption to come up with a correlation that can be used to quantify the bearing power consumption as a function of load, speed, ambient temperature, and bearing condition. Once obtained, the model can then be used to determine optimal operating practices that maximize the railroad bearing energy efficiency. In addition, the developed model will provide insight into possible areas of improvement for the next generation of energy efficient railroad bearings. This paper will discuss ongoing work including experimental setup and findings of energy consumption of bearings as function of railcar load, train speed, condition of bearing whether it is healthy or defective, and type of defect. Findings of energy consumption are converted into approximations of diesel gallons to quantify the effect of nominal energy consumption of the bearings and show economic value and environmental impact.

scholarly journals Innovative approaches and methods to the implementation of energy-saving measures and technologies at mining enterprises

2021 ◽  
Vol 288 ◽  
pp. 01109
Author(s):  
Alexander Semenov ◽  
Yuriy Bebikhov ◽  
Ayaal Egorov ◽  
Vladislav Shevchuk ◽  
Marina Glazun ◽  
...  
Keyword(s):  
Power Consumption ◽  
Mathematical Simulation ◽  
Energy Saving ◽  
Electric Drive ◽  
Economic Benefit ◽  
Energy Savings ◽  
Reactive Power ◽  
Specific Power ◽  
Specific Power Consumption ◽  
Instrumental Monitoring

The paper presents the evaluation of the implementation of innovative methods of energy savings in electric drive and power supply systems at mining enterprises. The evaluation involves mathematical simulation and instrumental monitoring of the defined indicators that allow obtaining a multiplier economic benefit through the appropriate approach to the implementation and subsequent exploitation of energy-saving technologies. For this purpose, the potential of energy savings in industry in general, and at mining enterprises in particular, is shown. Such indicators as power consumption in mining, the dynamics of power losses in public grids, specific power consumption for lighting and household needs, specific power consumption for lifting and supplying water, as well as for sewage treatment were evaluated. As an example, such measures as reactive power compensation, the introduction of frequency-controlled electric drive systems, the development and implementation of the systems for continuous monitoring of power quality indicators were considered pointwise (at some sites of enterprises). The mathematical simulation method was implemented using the MatLab software package. The instrumental monitoring was carried for 7 days with a ten-minute interval. As a result of the assessment of such measures, the total economic benefit approaching to 9.0 million rubles a year was obtained.

scholarly journals An approach to energy efficient lighting design for economic residential flats

2021 ◽  
Vol 850 (1) ◽  
pp. 012013
Author(s):  
Subhasish Das ◽  
Anubrata Mondal ◽  
Kamalika Ghosh
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Energy Efficient ◽  
Residential Building ◽  
Light Level ◽  
Lighting Design ◽  
Wide Range ◽  
Standard Values ◽  
Lighting Systems

Abstract The lighting design in a residential building now-a-days is not only limited to general lighting but also it is focused to provide quality lighting with the help of wide range of available luminaire with different orientations as well as colours with efficient use of energy, that opens up accurate characteristics of specific areas in any room of the building. The affordable housings in many states are some of the examples of residential building where most of the flats in a typical floor are using conventional lighting systems which are not energy efficient and light level is low compared to standards. This paper is mainly focused to provide a budget friendly as well as energy efficient lighting design with the help of new and energy efficient lamps using DIALux Software, which can be proposed to renovate the existing conventional lighting systems. In this paper effort has been made to reduce the power consumption in all rooms and lux levels has been achieved as per standard values along with good amount of energy saving with the use of newer technologies.

ФОРМУВАННЯ МЕРЕЖІ ЦЕНТРІВ ЕНЕРГОХАБА ЗНАНЬ ДЛЯ ПРОГНОЗУВАННЯ ПРІОРИТЕТНОГО НАПРЯМУ РОЗВИТКУ ПРОГРАМ ЕНЕРГОЕФЕКТИВНОСТІ ТА ЕНЕРГОЗБЕРЕЖЕННЯ В ЗАКЛАДАХ ВИЩОЇ ОСВІТИ

2022 ◽  
pp. 35-44
Author(s):  
Ivan M. Gryshchenko ◽  
Mykhailo O. Verhun ◽  
Andrii S. Prokhorovskyi
Keyword(s):  
Higher Education ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Higher Education Institutions ◽  
Action Plan ◽  
Energy Sources ◽  
Energy Supply System ◽  
Depth Analysis ◽  
The University

This article attempts to verify the relevance of building a network of energy knowledge hub centres to tackle the priority objective in enhancing energy efficiency and energy saving management in higher education institutions. It is emphasized that the issues of careful and wise use of fuels and energy resources challenge more government efforts, active use of advanced projects to manage energy saving and energy efficiency through the integrated use of different energy sources. The study argues that to identify the potential for energy saving, setting regulatory indicators of energy consumption, determining the key energy saving measures and target objects in the public sector where energy saving programs are planned to be implemented, there is a need to conduct energy surveys with further developing of energy passports for buildings. In the frameworks of this study, the following research methods were used: abstract and logical analysis – to interpret the essence of energy saving concepts for universities; systemic approach – to identify the specifics of energy saving projects implementation in universities; in-depth analysis and synthesis – to forecast the university development priority area of the "Energy efficiency and energy saving"; system, structural, comparative and statistical analyses – to assess the energy consumption in universities; economic and statistical methods – to evaluate the level and the dynamics of the energy sources use before and after the implementation of project activities; graph-based and analytical methods – to facilitate visual representation and schematic presentation of forecasts for further development of energy efficiency and energy saving systems. The study offers a mechanism to shape a network of energy knowledge hub centres to forecast a priority development area of energy efficiency and energy saving programs in higher education institutions along with providing an overview on the process of energy saving based on energy knowledge hub centres by carrying out the following tasks: project identification, scanning, energy audit, implementation of an action plan, and monitoring. It has been verified that to enhance the energy supply system in the university buildings, the following objectives should be attained: using the energy knowledge hub to forecast the university energy efficiency and energy saving programme, implementing an automated individual heating station with weather regulation and installing new radiator heaters.

Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings

2016 ◽  
pp. 207-234
Author(s):  
Gonzalo Vergara ◽  
Juan J. Carrasco ◽  
Jesus Martínez-Gómez ◽  
Manuel Domínguez ◽  
José A. Gámez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Power Consumption ◽  
Electric Power ◽  
Principal Component ◽  
Real Data ◽  
Machine Learning Techniques ◽  
Electric Power Consumption ◽  
Support Vector ◽  
Learning Machines ◽  
The University

The study of energy efficiency in buildings is an active field of research. Modeling and predicting energy related magnitudes leads to analyze electric power consumption and can achieve economical benefits. In this study, classical time series analysis and machine learning techniques, introducing clustering in some models, are applied to predict active power in buildings. The real data acquired corresponds to time, environmental and electrical data of 30 buildings belonging to the University of León (Spain). Firstly, we segmented buildings in terms of their energy consumption using principal component analysis. Afterwards, we applied state of the art machine learning methods and compare between them. Finally, we predicted daily electric power consumption profiles and compare them with actual data for different buildings. Our analysis shows that multilayer perceptrons have the lowest error followed by support vector regression and clustered extreme learning machines. We also analyze daily load profiles on weekdays and weekends for different buildings.

scholarly journals Outdoor Air-Cooling System for a Computer Room and Its Corresponding Energy-Saving Effect

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5719
Author(s):  
JiHyun Hwang ◽  
Taewon Lee
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Data Centers ◽  
Cooling System ◽  
Stable Operation ◽  
Air Cooling ◽  
Outdoor Air ◽  
Air Conditioners ◽  
Air Cooling System ◽  
Saving Effect

The recent expansion of the internet network and rapid advancements in information and communication technology are expected to lead to a significant increase in power consumption and the number of data centers. However, these data centers consume a considerable amount of electric power all year round, regardless of working days or holidays; thus, energy saving at these facilities has become essential. A disproportionate level of power consumption is concentrated in computer rooms because air conditioners in these rooms are required to operate throughout the year to maintain a constant indoor environment for stable operation of computer equipment with high-heat release densities. Considerable energy-saving potential is expected in such computer rooms, which consume high levels of energy, if an outdoor air-cooling system and air conditioners are installed. These systems can reduce the indoor space temperature by introducing a relatively low outdoor air temperature. Therefore, we studied the energy-saving effect of introducing an outdoor air-cooling system in a computer room with a disorganized arrangement of servers and an inadequate air conditioning system in a research complex in Korea. The findings of this study confirmed that annual energy savings of up to approximately 40% can be achieved.

Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies

Energy ◽  
2019 ◽  
Vol 178 ◽  
pp. 263-276 ◽  
Author(s):  
Zhendong Shang ◽  
Dong Gao ◽  
Zhipeng Jiang ◽  
Yong Lu
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Machine Tools ◽  
Heavy Duty
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