scholarly journals Rationalization of Electricity Consumption in Househ Olds

2018 ◽  
Vol 21 (2) ◽  
pp. 69-74
Author(s):  
Peter Morvai ◽  
Miroslav Žitňák ◽  
Stanislav Paulovič
Keyword(s):  
Positive Impact ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Electricity Production ◽  
Energy Costs ◽  
Electricity Prices ◽  
Operating Modes ◽  
Environment Quality ◽  
Financial Costs ◽  
Selection Of

Abstract With rationalization of electricity consumption, it is possible to obtain savings of electric energy in households, as well as financing and capital input for the electricity production. Rational use of appliances in the best operating modes can reduce the final consumption of electricity, representing a positive impact on improving the environment quality. The main objective of this paper was to measure the electricity consumption of appliances in various operating modes. The measured values from two energy suppliers were recorded and processed in tables and figures, from which we created a table of the financial costs necessary for operation of appliances in different modes. For the calculation of annual electricity consumption and electricity prices, an application allowing selection of individual products from suppliers with current electricity prices was designed. According to the tables of electricity prices, various modes of appliance operation allow the selection of the most preferred mode for appliance operation based on the lowest price, rational consumption and energy costs. The aim of the paper is to demonstrate the consumption and costs of operating appliances in certain operating modes, standby modes and their efficient use or functionally similar appliances for reduction of electricity consumption in households.

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.

scholarly journals Reducing energy costs with active ventilation of grain mass

2021 ◽  
Vol 4 (46) ◽  
pp. 15-15
Author(s):  
Alexander Saakian ◽  
◽  
Keyword(s):  
Electric Energy ◽  
Electrical Energy ◽  
Amur Region ◽  
Agricultural Products ◽  
Energy Costs ◽  
High Moisture Content ◽  
High Moisture ◽  
Financial Costs ◽  
Grain Products ◽  
Reducing Energy

Currently, small peasant farms (PFs) play an important role in preserving the country's food security. In the Amur region, they account for about 25 ... 30% of the total received agricultural products. At the same time, an important task in these farms is to preserve the harvested crop. This is due to the fact that during the harvesting period about 65 ... 70% of the annual precipitation falls, in connection with which the harvested grain mass has a high moisture content. The main way to preserve the received grain products is their timely drying. At the same time, it should be noted that peasant farms do not always dry the obtained agricultural products in full due to the high financial costs of this process, and in particular where electric energy is used as an energy carrier for drying, given that it’s cost for the consumer rises every year. This article presents the results of research on reducing energy consumption for drying agricultural products by optimizing the consumption of electricity. Keywords: DRYING, VENTILATION, FAN, ELECTRICAL ENERGY, GRAIN MASS

scholarly journals Electricity demand management within the retail electricity market in Russia

2021 ◽  
Vol 289 ◽  
pp. 01006
Author(s):  
Nikita Ogorodnikov
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Electricity Market ◽  
Demand Management ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Electric Power Systems ◽  
Demand Side ◽  
Electricity Prices ◽  
Management Tools

Demand side management is an important tool for ensuring the flexibility of the electric power systems, as it maintains and regulates the balance of generation and consumption of electric energy and has a system-wide effect, which is formed by lowering electricity prices for consumers and optimizing the load and structure of generating and electric grid capacities. The article is devoted to the problem of managing the demand for electricity consumption within the framework of the retail electricity market in Russia. The author identifies and summarizes the existing demand management tools. The article substantiates the need for the development and implementation of innovative tools and mechanisms for managing the demand for electricity consumption.

scholarly journals Development of electric facilities dispatching system of metallurgical enterprise

2018 ◽  
Vol 239 ◽  
pp. 01048
Author(s):  
Svetlana Fedorova ◽  
Pavel Khudyakov ◽  
David Tomilin
Keyword(s):  
Positive Impact ◽  
Electricity Consumption ◽  
Pilot Project ◽  
Industrial Enterprise ◽  
Process Equipment ◽  
Main Process ◽  
Monitoring And Control ◽  
Wholesale Market ◽  
Metallurgical Enterprise ◽  
Operating Modes

The creation of electrical facility modern dispatching system in an industrial enterprise should be part of the overall digitalization strategy, ensuring reliable and safe operation of electrical installations, which in turn will have positive impact on the competitiveness of industrial enterprise. The article describes the principles and algorithms for constructing of electrical facility monitoring and control system on the example of metallurgical enterprise. It is described the pilot project of the plant's electrical facilities dispatching control implementation, defining ecological safety. One of the significant results of the dispatch system introduction for the sulfuric acid subdivision is to reduce technological equipment downtime by 30%. The stages and tools for improving the operational and dispatch management of the enterprise's electrical facilities are developed. The developed system of the company's electric facilities dispatching, combining information channels with three major downgrade substations, will allow solving the problems of electrical parameters, monitoring of the substation equipment state, and controlling the load of transformers, switching equipment. In addition, it becomes possible to control the specific electricity consumption of the main process equipment and efficiently to plan electricity when working in the wholesale market, as well as to increase the speed of decision- making to eliminate and prevent unwanted operating modes.

Thermal/electric energy generation and CO2 production for greenhouse facilities

2019 ◽  
Vol 2 (3) ◽  
pp. 141-151
Author(s):  
O. E. Gnezdova ◽  
E. S. Chugunkova
Keyword(s):  
Carbon Dioxide ◽  
Power Distribution ◽  
Power Plants ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Vegetable Crops ◽  
Carbon Dioxide Injection ◽  
Electricity Rates ◽  
Traditional Patterns ◽  
Generation Power

Introduction: greenhouses need microclimate control systems to grow agricultural crops. The method of carbon dioxide injection, which is currently used by agricultural companies, causes particular problems. Co-generation power plants may boost the greenhouse efficiency, as they are capable of producing electric energy, heat and cold, as well as carbon dioxide designated for greenhouse plants.Methods: the co-authors provide their estimates of the future gas/electricity rates growth in the short term; they have made a breakdown of the costs of greenhouse products, and they have also compiled the diagrams describing electricity consumption in case of traditional and non-traditional patterns of power supply; they also provide a power distribution pattern typical for greenhouse businesses, as well as the structure and the principle of operation of a co-generation unit used by a greenhouse facility.Results and discussion: the co-authors highlight the strengths of co-generation units used by greenhouse facilities. They have also identified the biological features of carbon dioxide generation and consumption, and they have listed the consequences of using carbon dioxide to enrich vegetable crops.Conclusion: the co-authors have formulated the expediency of using co-generation power plants as part of power generation facilities that serve greenhouses.

scholarly journals A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings

2020 ◽  
Vol 12 (24) ◽  
pp. 10344
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Mohammed Itma
Keyword(s):  
Potential Energy ◽  
Energy Production ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Residential Building ◽  
Electricity Production ◽  
Energy Sustainability ◽  
Pv Systems ◽  
Residential Units ◽  
Future Consumption

This paper targets the future energy sustainability and aims to estimate the potential energy production from installing photovoltaic (PV) systems on the rooftop of apartment’s residential buildings, which represent the largest building sector. Analysis of the residential building typologies was carried out to select the most used residential building types in terms of building roof area, number of floors, and the number of apartments on each floor. A computer simulation tool has been used to calculate the electricity production for each building type, for three different tilt angles to estimate the electricity production. Tilt angle, spacing between the arrays, the building shape, shading from PV arrays, and other roof elements were analyzed for optimum and maximum electricity production. The electricity production for each household has been compared to typical household electricity consumption and its future consumption in 2030. The results show that installing PV systems on residential buildings can speed the transition to renewable energy and energy sustainability. The electricity production for building types with 2–4 residential units can surplus their estimated future consumption. Building types with 4–8 residential units can produce their electricity consumption in 2030. Building types of 12–24 residential units can produce more than half of their 2030 future consumption.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

Variable-Frequency Prony Method in the Analysis of Electrical Power Quality

2012 ◽  
Vol 19 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Jarosław Zygarlicki ◽  
Janusz Mroczka
Keyword(s):  
Least Squares ◽  
Power Quality ◽  
Electrical Power ◽  
Electric Energy ◽  
Variable Frequency ◽  
Prony Method ◽  
Analysis Window ◽  
Proposed Modification ◽  
Selection Of

Variable-Frequency Prony Method in the Analysis of Electrical Power QualityThe article presents a new modification of the the least squares Prony method. The so-called variable-frequency Prony method can be a useful tool for estimating parameters of sinusoidal components, which, in the analyzed signal, are characterized by time-dependent frequencies. The authors propose use of the presented method for testing the quality of electric energy. It allows observation of phenomena which, when using traditional methods, are averaged in the analysis window. The proposed modification of least squares Prony method is based on introduction and specific selection of a frequency matrix. This matrix represents frequencies of estimated components and their variability in time.

scholarly journals USE OF “KNOWLEDGE HOUSE”, DWS, DMS AND DSS METHODOLOGY BY COMPLETING A COMPETITORS' ANALYSIS IN THE RAILWAY SECTOR

2016 ◽  
Vol 17 (6) ◽  
pp. 1022-1051
Author(s):  
Vaidas GAIDELYS ◽  
Stasys DAILYDKA
Keyword(s):  
Intellectual Capital ◽  
Positive Impact ◽  
Competitive Intelligence ◽  
Sources Of Information ◽  
Strategic Decisions ◽  
Foreign Companies ◽  
Information Accessibility ◽  
Use Of Knowledge ◽  
Selection Of

In completing a competitors’ analysis in the railway sector by using the “Knowledge House” method, there is frequently a problem of data and information accessibility. The quality of primary information has direct influence on the quality of analytical conclusions. One more condition for the qualitative application of this method is the intellectual capital and experience of the analyst. One should note that in this regard we face another problem, that of selection of proper personnel, on the qualification of whom depends the accuracy of the evaluation and final results, on the basis of which strategic decisions are taken. The main aim of the paper is to assess the opportunities for applications of competitive intelligence methods in the railway sector. The study is using “Knowledge House”, DWS, DMS, DSS methodologies. Having analysed the scientific works the direct scientific sources of information, which are oriented to the application of the methods of competitive intelligence to the railway sector, have not been identified. The paper is absolutely original in that until now the competitive intelligence techniques have not been applied for the railway sector companies. Considering the fact that foreign companies, which compete for freighting at the international level, are regarded as the main competitors of the railway sector, the use of the methods of the competitive intelligence becomes more important while fighting for the part of the market. The competitive intelligence methods and their application to the railway sector companies are little studied. In accordance with application of the relevant methods in other sectors, it can be assumed that these innovative approaches could have a positive impact on the competitiveness of companies in the railway sector and their income.

scholarly journals The effect of an electricity tax on aggregate electricity consumption: evidence from Basel

2020 ◽  
Vol 156 (1) ◽  
Author(s):  
Benjamin Krebs ◽  
Simon Luechinger
Keyword(s):  
Price Elasticity ◽  
Control Method ◽  
Electricity Consumption ◽  
Weighted Average ◽  
Synthetic Control ◽  
Hypothetical Situation ◽  
Electricity Prices ◽  
Synthetic Control Method ◽  
Insignificant Effect

AbstractWe estimate the effect of an electricity tax on aggregate electricity consumption with the synthetic control method. The tax was introduced in the Swiss city of Basel in 1999 and, together with other tariff changes, increased marginal electricity prices by 5.4–8.0%. We compare the actual and a hypothetical electricity consumption in the years 1999–2006. The latter is a weighted average of electricity consumption in other Swiss cities and captures the hypothetical situation without the tax. We find a statistically insignificant effect of the tax increase of − 2.7 to − 1.9%, which implies a rather small, but not unreasonable, price elasticity of between − 0.5 and − 0.2. Ambiguous effects on average prices and an unfortunate communication by officials may explain why the innovative reform failed to induce a stronger response.

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