scholarly journals The use of correlation and regression analysis for assessment of the energy effectiveness of the dc electric locomotives auxiliary equipment

2018 ◽  
Vol 239 ◽  
pp. 01038 ◽  
Author(s):  
Stanislav Istomin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Electricity Consumption ◽  
Technical Condition ◽  
Rolling Stock ◽  
Multiple Regression Equation ◽  
Electric Locomotive ◽  
Distribution Law ◽  
Auxiliary Equipment ◽  
Environment Temperature

Through additional processing of the modern movement parameter recorders data of the DC electric locomotive 2ES6 the article first presents the results of the actual consumption of electricity for own needs and the proportion of these costs from the consumption of trains traction is determined, which in terms of operational depot is difficult to implement. The estimation of influencing factors on the energy consumption for own needs of 2ES6 series electric locomotives is made. As a result it was found that the internal energy consumption is influenced by such factors as rolling stock mass, axle load and environment temperature. Statistic models were made to normalize internal electricity consumption and their quality estimation was fulfilled. It is found that the remainders of the multiple regression equation, which take the above factors into account, obey the normal distribution law, indicating the adequacy of their further use to assess the energy efficiency of the 2ES6 series DC electric locomotives auxiliary equipment. The use of regression models will allow to identify electric locomotives with auxiliary equipment with low energy efficiency and to send them to unscheduled repairs in time to restore the required technical condition.

scholarly journals ORGANIZATION OF THE ENERGY MANAGEMENT SYSTEM ON THE BASIS OF THE UNIVERSITY KNOWLEDGE HUB

Management ◽  
2021 ◽  
Vol 33 (1) ◽  
pp. 94-104
Author(s):  
Оlena Nifatova
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Electricity Consumption ◽  
High Energy ◽  
Multiple Regression Equation ◽  
Process Data ◽  
Factors Affecting ◽  
Main Factors ◽  
The University

BACKGROUND AND OBJECTIVES. Energy efficiency and energy saving are the priority direction of science, technology and engineering development in Ukraine. The policy of energy saving, carried out all over the world, is directed to all branches and scientific researches in all spheres. The big consumer of energy resources is the higher school. Updating of normative-legal and technical base aimed at design and operation of buildings with low energy consumption and high energy efficiency class shows the necessity of short-term solution of the problem. At the same time, there is a lack of a systemic view of energy efficiency, which does not allow evaluating the level of energy costs throughout the life cycle of higher education institutions, which shows the need to find effective solutions to the problem.METHODS. Multiple regression equation was used to assess the influence of factors on electricity consumption and energy efficiency of Kyiv National University of Technologies and Design, statistical analysis of the obtained data was performed.FINDINGS. As a result it was found out that the data of electricity consumption do not obey the law of normal distribution, so it is difficult to build an accurate prediction of electricity consumption. The use of HAB knowledge on energy efficiency allowed a more qualitative analysis and highlighted the main factors affecting electricity consumption. The university has unregulated central heating, individual air conditioning systems, and central and individual lighting. In this regard, we selected the following main factors: average outdoor air temperature, average duration of daylight hours, heating period, average number of people working per day, during the month to conduct energy monitoring and energy audit of university buildings.CONCLUSION. Implementation of suggested scheme of structural organization of typical system of automatic accounting of university energy consumption on the basis of university HUB of energy efficiency knowledge: server, allowing to collect, store and process data; routers by means of various wire and wireless communication technologies; hubs, installed on the objects of energy consumption; workstations, which are personal computers with installed software of used HUB will allow to optimize energy consumption.

scholarly journals Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

scholarly journals Mining Equipment Technical Condition Monitoring

2018 ◽  
Vol 41 ◽  
pp. 03020 ◽  
Author(s):  
Evgeny Kuzin ◽  
Vladimir Bakin ◽  
Dmitriy Dubinkin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Condition Monitoring ◽  
Technical Condition ◽  
Process Equipment ◽  
Mining Equipment ◽  
The Earth ◽  
Vibration Parameters ◽  
Reducing Energy

The Earth, being the main object and operational basis for mining, is exposed to the greatest impact because of extracting minerals. Protection of elements of the biosphere, including subsoil, should provide for the provision of scientifically based and economically justified completeness and complexity of use. The article discusses the need to monitor the technical condition of mining equipment, as applied to assessing its technical condition and reducing energy consumption by this equipment. The dependence of energy consumption on vibration parameters and temperature of equipment surfaces is shown. The data of the results of vibration parameters monitoring are given. Criteria are given for estimating the energy efficiency of operation of process equipment and, accordingly, the influence of these parameters on the environment.

Using energy profiles to identify university energy reduction opportunities

2016 ◽  
Vol 17 (2) ◽  
pp. 188-207 ◽  
Author(s):  
Nandarani Maistry ◽  
Harold Annegarn
Keyword(s):  
South Africa ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Quantitative Research ◽  
Electricity Consumption ◽  
Working Hours ◽  
Content Type ◽  
Academic Calendar ◽  
The University

Purpose – The purpose of this paper is to outline efforts at the University of Johannesburg, a large metropolitan university in Gauteng province, to examine energy efficiency within the context of the green campus movement, through the analysis of electricity consumption patterns. The study is particularly relevant in light of the cumulative 230 per cent increase in electricity costs between 2008 and 2014 in South Africa that has forced institutions of higher education to seek ways to reduce energy consumption. Design/Methodology/Approach – A quantitative research design was adopted for the analysis of municipal electricity consumption records using a case study approach to identify trends and patterns in consumption. The largest campus of the University of Johannesburg, which is currently one of the largest residential universities in South Africa, was selected as a case study. Average diurnal consumption profiles were plotted according to phases of the academic calendar, distinguished by specific periods of active teaching and research (in-session); study breaks, examinations and administration (out-of-session); and recesses. Average profiles per phase of the academic calendar were constructed from the hourly electricity consumption and power records using ExcelTM pivot tables and charts. Findings – It was found that the academic calendar has profound effects on energy consumption by controlling the level of activity. Diurnal maximum consumption corresponds to core working hours, peaking at an average of 2,500 kWh during “in-session” periods, 2,250 kWh during “out-of-session” periods and 2,100 kWh during recess. A high base load was evident throughout the year (between 1,300 and 1,650 kWh), mainly attributed to heating and cooling. By switching off the 350 kW chiller plant on weekdays, a 9 per cent electricity reduction could be achieved during out-of-session and recess periods. Similarly, during in-session periods, a 6 per cent reduction could be achieved. Practical implications – Key strategies and recommendations are presented to stimulate energy efficiency implementation within the institution. Originality Value – Coding of consumption profiles against the academic calendar has not been previously done in relation to an academic institution. The profiles were used to establish the influence of the academic calendar on electricity consumption, which along with our own observation were used to identify specific consumption reduction opportunities worth pursuing.

scholarly journals Intelligent power management at waterworks (case of Water Supply Branch of State Unitary Enterprise St. Petersburg Vodokanal)

2020 ◽  
Vol 2020 (4) ◽  
pp. 7-14
Author(s):  
Valery Glebovich Larionov ◽  
Marina Gennad'evna Treyman
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Water Supply ◽  
Energy Saving ◽  
Electricity Consumption ◽  
Optimal Solution ◽  
The State ◽  
Energy Resources ◽  
Resource Saving ◽  
Software Products

The article gives the analysis of resource saving and energy efficiency of the enterprises of water supply and waste water services of the State Unitary Enterprise “St. Petersburg Vodokanal”. There has been evaluated the consumption of electrical energy by the enterprise. The main methods of energy resources management (creating a system of rational consumption and saving of energy resources, using energy-efficient materials, equipment and technologies, identifying the potential of energy-saving measures at operating facilities) have been determined. The priority directions for reducing the production energy intensity in the water supply processes have been defined. An algorithm is proposed that includes the processes of collecting, modeling, structuring information, as well as developing an optimal solution for an enterprise. A model for optimizing work in water supply processes is presented, software products are considered that allow to control the processes of energy saving and energy efficiency. The most promising software products for their introducing them into practice of the enterprise have been identified, including General Electric Intelligent Platforms CSense. A plan for the sequential implementation of the software product into operation at the enterprise is presented. The dynamics of electricity consumption at the enterprise, the structure of energy consumption are illustrated. It is noted that the most significant contribution to the amount of energy consumption is made by the technological processes of water intake and supply. It has been substantiated that the most energy-consuming process for the enterprise (Water Supply Branch of the State Unitary Enterprise St. Petersburg Vodokanal) is replacement or maintenance of pumping equipment. The components of energy conservation of the enterprise under study are the partial regulation and automation of processes.

scholarly journals The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5629
Author(s):  
Piotr Gołębiowski ◽  
Marianna Jacyna ◽  
Andrzej Stańczak
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Negative Impact ◽  
Rail Transport ◽  
Rolling Stock ◽  
Railway Network ◽  
Rail Freight ◽  
Freight Traffic ◽  
Efficient Planning

The issues addressed by the article concern the assessment of energy efficiency in rail transport, resulting from the proper organization of rail traffic. The problems related to energy consumption and, thus, the negative impact of rail transport on the natural environment are highly significant in terms of the green deal concept, climate change and sustainable development. In this article, energy efficiency is investigated in the context of minimizing the energy consumption necessary to satisfy a specific transport requirement. The essence of this article is to present an approach to energy-efficient planning of rail freight traffic. This article aims to develop a method covers the allocation of railway vehicles dedicated to freight traffic (locomotives and railcars) to perform a defined transport task, taking into account the energy efficiency assessment of the solution, routing the train launched with regard to the accomplishment of the defined transport task on the railway network, and determining the conditions of transport for a defined transport task, taking into account the allocated rolling stock (locomotives and railcars) and the route. In this article, based on the presented state of knowledge, a decision-making model has been proposed, including the model’s parameters, the values being searched for, indicators for assessing the quality of the solution, as well as the limitations and boundary conditions of the problem. The function of minimizing the energy consumption necessary to transport a shipment within the railway network (determining the energy efficiency of the proposed solution) has been proposed as the criterion. In addition, a description of the proprietary method of selecting rolling stock for accomplishing tasks, based on the assessment of the energy efficiency of the solution and a case study illustrating the operation of the method on the example of the area of Poland, has been presented.

SOME ASPECTS OF ENERGY EFFICIENCY IN HOUSING CONSTRUCTION IN RUSSIA

2020 ◽  
Vol 13 (2) ◽  
pp. 90-96
Author(s):  
E.V. Nezhnikova ◽  
◽  
M.V Chernyaev ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Real Estate ◽  
Energy Efficient ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Housing Construction ◽  
Residential Real Estate ◽  
Domestic Legislation

The article presents the problems of ensuring energy efficiency of housing construction in the Russian Federation. Unfortunately, for a variety of reasons and, despite the existence of federal and regional legislation, today Russia does not pay due attention to this issue, which leads to an unreasonable increase in electricity consumption both during the creation of residential real estate objects and during their operation. 96 Экономические системы. 2020. № 2 Economic Systems. 2020. No. 2 The relevance of the topic is enhanced by significant energy consumption of residential buildings in use: more than 50% of electrical energy consumption falls on these real estate objects. Therefore, it is no coincidence, but a completely logical trend of the 21st century, that the governments of most countries popularized the idea of designing and building energy-efficient residential buildings. It was established that the improvement of domestic legislation in terms of energy efficiency has greatly improved the regulatory framework for the design and construction of energy-efficient residential real estate.

scholarly journals Artificial intelligence methods to control the energy efficiency of electric rolling stock online

2020 ◽  
Vol 175 ◽  
pp. 05046
Author(s):  
Vasily Cheremisin ◽  
Stanislav Istomin ◽  
Artem Perestenko
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Simulation Models ◽  
Automated System ◽  
Rolling Stock ◽  
Artificial Intelligence Methods ◽  
Electric Rolling Stock ◽  
Motion Parameters ◽  
Consumption Control

The international practices in organizing the energy consumption control of electric rolling stock are analyzed. As a result, it was concluded that currently the issue of organizing the energy consumption control of electric rolling stock is mainly solved by using analytical methods. These methods are based on designing the simulation models, which are usually based on the Pontryagin maximum principle. However, considering the development of recording systems for motion parameters of electric rolling stock, as well as other automated systems of Russian Railways, it seems promising to develop and study artificial intelligence methods and algorithms for solving real-time monitoring issues of electric rolling stock energy consumption. It was also determined that the most modern motion parameter recorders have a number of significant drawbacks from the data analysis point of view. Such drawbacks include insufficient data and their low reliability, lack of linking the recorded data to trips and locomotive teams, the impossibility of choosing a constant interval for recording measurement results. Moreover, there is also high probability of errors when recording data on the cartridge, lack of GPS/GLONASS satellite navigation system, lack of wireless data transmission, imperfection of software and inconvenience of exporting data from a cartridge file and its incompleteness. In order to test the energy efficiency assessment of electric rolling stock within the limits of arbitrary energy tracking areas, the Corresponding software was developed on the basis of data from the motion parameters recorders. However, developing the new complex automated system is required for the full implementation of the proposed consumption tracking method. Such system should combine the entire set of measured parameters, both for electric rolling stock and for the traction power supply system.

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.

scholarly journals User Deep Energy Efficiency Evaluation via Load Perception and Clustering

2021 ◽  
Vol 2078 (1) ◽  
pp. 012007
Author(s):  
Shuran Zhai ◽  
Zhaojie Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Electricity Consumption ◽  
Fuzzy Comprehensive Evaluation ◽  
Efficiency Evaluation ◽  
Fuzzy Evaluation ◽  
Consumption Behaviour ◽  
Energy Efficiency Evaluation

Abstract With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.

Sign in / Sign up

Export Citation Format

Share Document