scholarly journals A Study on the Energy Consumption of the Electrical and Electronic Household and Office Equipment in Standby and Off-Mode

2021 ◽  
Vol 21 (1) ◽  
pp. 26-30
Author(s):  
A. Vasiliu ◽  
Otilia Nedelcu ◽  
O. Magdun ◽  
I.C. Sălişteanu
Keyword(s):  
Energy Consumption ◽  
Environmental Effects ◽  
Electricity Consumption ◽  
Smart Devices ◽  
European Committee ◽  
Control Functions ◽  
Design Requirements ◽  
The Impact ◽  
Office Equipment

Abstract The most recent generation of the electrical and electronic household and office equipment is far more efficient than its predecessor, but it is still improvable. The smart equipment, when it is used, adds the advantages of the supplementary control functions with the requirements of beeing electrically supplied. By interconnecting the smart devices in a data network, some of the energy consumption occurs even in the non-active states. These states, either a “stand-by” mode or an “off-line” mode, according to the European Committee directives, imposes maximum limits for the electricity consumption, thus an eco-design of the electrical and electronic equipment. The impact of these eco-design requirements on household appliances and office equipment with repercussions in their operation and use, as well as the energy and environmental effects, are dealt in this paper, based on a case study.

scholarly journals The Impact of COVID-19 on Electricity Demand Profiles: A Case Study of Selected Business Clients in Poland

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5332 ◽  
Author(s):  
Marcin Malec ◽  
Grzegorz Kinelski ◽  
Marzena Czarnecka
Keyword(s):  
Energy Consumption ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Energy Prices ◽  
Total Change ◽  
Rapid Changes ◽  
Sales Company ◽  
Energy Companies ◽  
The Impact

The COVID-19 pandemic has caused changes in electricity demand and, consequently, electricity consumption profiles. Given the rapid changes in energy prices, it is significant from the perspective of energy companies, and forecasting consumed energy volume. A necessity for accurate energy volume planning forces the need for analyzing consumers’ behaviors during the pandemic, especially under lockdowns, to prepare for the possibility of another pandemic wave. Many business clients analyzed in the paper are economic entities functioning in sectors under restrictions. That is why analyzing the pandemic’s impact on the change in energy consumption profiles and volume of these entities is particularly meaningful. The article analyzes the pandemic and restrictions’ impact on the total change of energy consumption volume and demand profiles. The analysis was conducted basing on data collected from a Polish energy trading and sales company. It focused on the energy consumption of its corporate clients. Analyzed data included aggregated energy consumption volumes for all company’s customers and key groups of economic entities under restrictions. The analysis demonstrates the influence of pandemic restrictions on energy consumption in the group of business clients. Significant differences are observable among various sectors of the economy. The research proves that the largest drops in energy consumption are related to shopping centers and offices. Altogether, the restrictions have caused a 15–23% energy consumption drop during the first lockdown and a maximum 11% during the second against expected values.

Modelling of energy consumption in sociotechnical systems with intelligent equipment

2021 ◽  
pp. 4-19
Author(s):  
Владимир Борисович Барахнин ◽  
Светлана Валентиновна Мальцева ◽  
Константин Владимирович Данилов ◽  
Василий Вячеславович Корнилов
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Electricity Consumption ◽  
Feedback Mechanism ◽  
Smart Devices ◽  
Consumption Function ◽  
Management Processes ◽  
Consumption Data ◽  
The Times ◽  
Dynamic Time

Современные социотехнические системы в различных областях характеризуются наличием в их составе большого количества интеллектуального оборудования, которое может самостоятельно регулировать собственное потребление энергии, а также взаимодействовать с другими потребителями в процессах принятия решений и управления. Одна из таких отраслей - энергетика, где самоорганизация и системы коллективного потребления являются наиболее перспективными с точки зрения обеспечения эффективности использования энергоресурсов. Рассмотрены подходы к установлению статических и динамических тарифов на электроэнергию. Проведено сравнение двух моделей энергопотребления - статического двухтарифного и динамического, учитывающих рациональное поведение умных устройств, способных выбирать лучшие режимы для потребления электроэнергии. Показано влияние количества таких устройств на возможность достижения равномерного потребления при использовании второй модели. Modern socio-technical systems in various fields include a large number of smart equipment that can independently regulate its own energy consumption, as well as interact with other consumers in decision-making and management processes. Energy is one of these areas. Self-organization and collective self-consumption are the most promising in terms of ensuring the efficiency of energy use. Existing and prospective approaches to using static and dynamic time-based tariffs are under consideration. The paper presents a mathematical description of two models of energy consumption: a static model based on the allocation of two zones with a fixed duration and tariffs for each one and a dynamic model of two-tariff accounting with feedback, which assumes tariffs changing based on the results of the analysis of current electricity consumption. A pilot study of both models was conducted by using energy consumption data and taking into account the rational behavior of smart devices as consumers who can choose the best periods for electricity consumption. During the experiments it was investigated how an increase in the share of smart devices in the composition of electricity consumers as well as options for establishing zones and tariffs, affect the possibility of achieving uniform consumption during the day. Experiments have shown that with a small proportion of smart devices, acceptable results that reduce the variation in the consumption function can favor usage of the model without feedback. An increase in the number of actors in the system inevitably requires including a feedback mechanism into the system that allows the resource supplier to prevent excessive concentration of smart devices during the period of the cheaper tariff. However, when the share of smart devices exceeds a certain critical value, a pronounced inversion of the times of cheap and expensive tariffs occurs in two successive iterations. In this case, in order to ensure a quite even distribution of electricity consumption, it is advisable for the supplier to return to the single tariff rate. Thus, an excessive increase in the number of actors in the system can neutralize the effect of their use

The impact of sustainable architecture patterns in optimizing energy consumption (Case Study: hot and dry climate)

2015 ◽  
Vol 16 (SE) ◽  
pp. 531-538
Author(s):  
Adel Ataei Karizi ◽  
Mahjoobeh Noohi Bezenjani
Keyword(s):  
Sustainable Development ◽  
Global Warming ◽  
Energy Consumption ◽  
International Level ◽  
Natural Habitats ◽  
Sustainable Architecture ◽  
Water And Soil Pollution ◽  
Climate Analysis ◽  
The Impact

Today, the environment, optimizing energy consumption and sustainable development have become the most important issues at the international level. Increasing population growth has disastrous effects on Earth's natural habitats and issues such as general global warming, increase in greenhouse gases in the atmosphere that cause global warming, air, water and soil pollution all lead to irresponsible consumption of energy. This paper tries to evaluate sustainable patterns in warm and dry areas that with the climate analysis and contemporary comparison of design in hot and dry climate while clarifying various aspects, explain the impact of environmental factors in the formation of sustainable architecture and the use of applied patterns to design a sustainable architecture. It have been used analytical method, as well as library and documentary research in this study.

scholarly journals Assessing Households’ Gas and Electricity Consumption: A Case Study of Djelfa, Algeria

2018 ◽  
Vol 37 (4) ◽  
pp. 111-129 ◽  
Author(s):  
Soufiane Boukarta ◽  
Ewa Berezowska-Azzag
Keyword(s):  
Energy Consumption ◽  
Structural Equation ◽  
Census Data ◽  
Population Distribution ◽  
Electricity Consumption ◽  
Principal Component ◽  
Building Energy Efficiency ◽  
Housing Type ◽  
Bivariate Correlation ◽  
The Impact

Abstract Households are the major energy consumer and contributor to the emission of greenhouse gases. The Algerian policy of mastering energy has improved building energy efficiency since 1994 by introducing thermal regulation (DTR). However, energy consumption is still increasing instead of decreasing, which is mainly due to occupants’ behaviour which is difficult to estimate and predict. This paper explores the impact of households and housing characteristics on residential gas and electricity consumption in the 36 municipalities of the department of Djelfa (Algeria) which is located in an arid and semi-arid climate zone. This paper is based on GIS and statistical techniques. It considers the yearly gas and electricity energy consumption (2013) of the municipalities of the department of Djelfa. The method is organised in four steps: (a) a multiple linear regression is used to construct two estimative models of gas and electricity. The models have more than 93% of accuracy for both gas and electricity models; (b) estimating gas and electricity consumption for 2008 according to the developed models; (c) organisation of the census data of 2008 in five dimensions: the population distribution, household characteristics, housing type and occupancy, and finally household appliance ownership; (d) a set of sensitivity analysis is performed based on Principal Component Analysis (PCA) and Pearson’s bivariate correlation and finally a path analysis is performed based on Structural Equation Model (SEM) to assess the importance of each variable. The overall impact of all these variables indicates that increasing the household size is the first factor reducing the electricity and gas consumption followed by the housing surface, density, room occupancy, and older households, while increasing the education level and appliance ownership boosts both per-capita gas and electricity consumption.

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 Application of the methodology related to the emission standard to specific railway line in comparison with parallel road transport: a case study

2018 ◽  
Vol 244 ◽  
pp. 03002 ◽  
Author(s):  
Iwona Rybicka ◽  
Ondrej Stopka ◽  
Vladimír Ľupták ◽  
Mária Chovancová ◽  
Paweł Droździel
Keyword(s):  
Global Warming ◽  
Czech Republic ◽  
Energy Consumption ◽  
Greenhouse Gases ◽  
Road Transport ◽  
Emission Standard ◽  
The Czech Republic ◽  
Railway Line ◽  
The Impact

At present, the impact of transport on the environment constitutes a serious problem. This mainly concerns energy consumption and production of greenhouse gases (GHG) that via their participation in greenhouse effect intensification contribute to global warming. In this paper, the calculations provided by the EN 16258: 2012 methodology will be applied to two modes of transport: railway and road transport. Subsequently, the methodology will be applied to a case study of a selected nonelectrified railway line in comparison with parallel road transport. In particular, energy consumption and production of greenhouse gases will be monitored depending on traveling the distance between selected cities in the Czech Republic.

scholarly journals Green Roofs as Effective Tools for Improving the Indoor Comfort Levels of Buildings—An Application to a Case Study in Sicily

2020 ◽  
Vol 10 (3) ◽  
pp. 893 ◽  
Author(s):  
Laura Cirrincione ◽  
Maria La Gennusa ◽  
Giorgia Peri ◽  
Gianfranco Rizzo ◽  
Gianluca Scaccianoce ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Electric Energy ◽  
Simulation Models ◽  
Green Roofs ◽  
Energy Performance ◽  
Comfort Levels ◽  
Indoor Comfort ◽  
The Impact

In the line of pursuing better energy efficiency in human activities that would result in a more sustainable utilization of resources, the building sector plays a relevant role, being responsible for almost 40% of both energy consumption and the release of pollutant substances in the atmosphere. For this purpose, techniques aimed at improving the energy performances of buildings’ envelopes are of paramount importance. Among them, green roofs are becoming increasingly popular due to their capability of reducing the (electric) energy needs for (summer) climatization of buildings, hence also positively affecting the indoor comfort levels for the occupants. Clearly, reliable tools for the modelling of these envelope components are needed, requiring the availability of suitable field data. Starting with the results of a case study designed to estimate how the adoption of green roofs on a Sicilian building could positively affect its energy performance, this paper shows the impact of this technology on indoor comfort and energy consumption, as well as on the reduction of direct and indirect CO2 emissions related to the climatization of the building. Specifically, the ceiling surface temperatures of some rooms located underneath six different types of green roofs were monitored. Subsequently, the obtained data were used as input for one of the most widely used simulation models, i.e., EnergyPlus, to evaluate the indoor comfort levels and the achievable energy demand savings of the building involved. From these field analyses, green roofs were shown to contribute to the mitigation of the indoor air temperatures, thus producing an improvement of the comfort conditions, especially in summer conditions, despite some worsening during transition periods seeming to arise.

scholarly journals Observing the Impact of WWF Earth Hour on Urban Light Pollution: A Case Study in Berlin 2018 Using Differential Photometry

2019 ◽  
Vol 11 (3) ◽  
pp. 750 ◽  
Author(s):  
Andreas Jechow
Keyword(s):  
Electricity Consumption ◽  
Weather Conditions ◽  
Pollution Reduction ◽  
Light Pollution ◽  
Digital Cameras ◽  
Differential Photometry ◽  
Potsdamer Platz ◽  
Future Work ◽  
The Impact

Earth Hour is one of the most successful coordinated mass efforts worldwide to raise awareness of environmental issues, with excessive energy consumption being one driver of climate change. The campaign, first organized by the World Wildlife Fund in Australia in 2007, has grown across borders and cultures and was celebrated in 188 countries in 2018. It calls for voluntarily reduction of electricity consumption for a single hour of one day each year. Switching off non-essential electric lights is a central theme and resulted in 17,900 landmarks going dark in 2018. This switch-off of lights during Earth Hour also leads to reduction of light pollution for this specific period. In principle, Earth Hour allows the study of light pollution and the linkage to electricity consumption of lighting. However, quantitative analysis of the impact of Earth Hour on light pollution (and electricity consumption) are sparse, with only a few studies published showing no clear impact or the reverse, suffering from residual twilight and unstable weather conditions. In this work, light pollution measurements during Earth Hour 2018 in an urban park (Tiergarten) in Berlin, Germany, are reported. A novel light measurement method using differential photometry with calibrated digital cameras enables tracking of the switching off and switching back on of the lights of Berlin’s iconic Brandenburg Gate and the buildings of Potsdamer Platz adjacent to the park. Light pollution reduction during the event was measurable, despite the presence of moonlight. Strategies for future work on light pollution using such events are discussed.

scholarly journals Ecodesign from High School to Bachelor Level: A French Case Study

2019 ◽  
Vol 1 (1) ◽  
pp. 3261-3270 ◽  
Author(s):  
Catherine Perpignan ◽  
Vincent Robin ◽  
Yacine Baouch ◽  
Benoit Eynard
Keyword(s):  
High School ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Consumption Patterns ◽  
French Case ◽  
Global Understanding ◽  
The Impact ◽  
Over Time ◽  
Do So

AbstractNowadays, our society needs that an awareness be made about our impact on the planet. Many more or less alarmist reports tell us that there is a need to change our consumption patterns, production and energy consumption … One of the main axes to achieve these goals is education. Thus integrating sustainable development into the skills of future engineers is an essential challenge but above all a necessity to modify and reduce our impact on the environment and to allow a global understanding of the complexity of our society. For this, companies must also evolve. Some will do so in a strategy of greening their image, others will have to comply with the various regulations of their sector of activity and a final category of these companies will use this opportunity as a vector of innovation. Each at their level will make a contribution, the integration over time of new sustainability skills within their staff will expand their action. In this article, we will focus our study on the integration of ecodesign in the industry and the impact that this generates in terms of skills to acquire, values to evolve and knowledge to master.

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