Use Of Electrical Appliances Research Articles

Women's economic empowerment is a need-based program

The presented research paper focuses on the women of rural community, what is the contribution of technological progress in the lives of women. In the research paper, an attempt has been made to know the changing role of women in the society. How does the use of electrical appliances affect the overall economy of the family? How aware are women about the use of these devices? In the 20th century, women are moving forward on the path of progress in every field. Women are contributing to the economic progress of the country. She is discharging her responsibilities well at home and work. At the same time, they are providing financial support to the men of the house, as a result, women are moving towards empowerment, women-oriented modern technologies are also playing an important role in women empowerment. With their use, women take help in household work and save their time and labor to do employment related work. All the above facts will be examined to see what positive and negative effects the use of technology is having on women’s health.

Who will ‘go electric’? American homeowners' perceptions of home energy sources and home electrification

In the context of the global climate crisis, the role the building sector plays in direct consumption of fossil fuels, especially natural gas, has come under increased scrutiny. Several major cities have initiated a phase out of natural gas hookups in homes and other buildings, requiring use of electric appliances. Additionally, with the passage of the 2022 Inflation Reduction Act, major incentives came available to help homeowners purchase and install electric appliances in their residences. Currently, over half of American homes use natural gas for heating or cooking, but research is needed to understand public opinion of household electrification. Here, we use 2021 survey data of American homeowners with electricity in the household (n = 4470) to analyze distribution of different energy sources currently used by homeowners, favorability toward gas versus electric appliances, and attitudes toward home electrification. We find that homeowners in the South, Midwest, and Intermountain West regions of the US are more likely than those in the New England area to already reside in electric-only homes, but we don't find the same geographic variation in support for home electrification. We also find that homeowners who are politically liberal, don't already use natural gas, have children at home, live in more urban areas, use rooftop solar, already use an induction stove or heat pump, and believe electricity is safer than natural gas are more supportive of electrification. These findings provide clues as to who is more and less likely to adopt electric household technologies.

SINUSOIDAL ELECTROMAGNETIC FIELD DECREASES OSTEOGENIC DIFFERENTIATION OF RAT BONE MARROW MESENCHYMAL STEM CELLS

Objective: The widespread use of household electrical appliances generating electric and magnetic fields was a significant focus of WHO attention because of its serious threat to human health, especially osteogenesis. This research investigated the effect of 50 Hz frequency (1 mT intensity) sinusoidal EMF (SEMF) on the osteogenic differentiation of rat bone marrow stem cells (rBMSCs) in vitro. Methods: Experimental groups were: positive control (cells cultured in osteogenic medium supplemented with 7-10 M Dexamethasone, negative control (cells cultured in α-MEM/10% FBS, 10 mmol Beta-Glycerol-Phosphate, 15% FBS, 50 ug/ml Ascorbic Acid bi-Phosphate, 100 unit/ml Penicillin) and for the EMF group, cells exposed to SEMF (50 Hz, 1 mT, 30 min/day) for 14 and 21 d. Alizarin red staining, Alkaline phosphatase activity, and QRT-PCR were performed. Results: The EMF group exhibited weaker positive stains for ALP and Alizarin red than the positive control group. The Runx2 and Ocn gene expression levels were significantly decreased compared to negative control at 14 and 21 d of EMF exposure, respectively. After 14 and 21 d of exposure, Runx2 and Ocn gene expression were much lower in the EMF group than in the positive control group. Conclusion: SEMF (1 mT, 50 Hz, 30 min/day) could retarded osteogenesis and reduce the osteogenic differentiation of rBMSCs.

Noise Pollution Control by using Agro Waste Material

Increasing use of electrical and mechanical appliances at home and industries has created a concern for noise pollution created by them. Urbanization and heavy growth of construction work in every neighborhood further emphasize the need of new technologies for noise reduction. Noise created by different machines can be controlled either by suppressing the noise generating factors or by using the noise proofing agro materials which help to reduce the acoustic wave's energy by blocking or absorption. Maize, rice straw, and coconut fiber these agro products help to reduce the noise pollution. Newspaper waste also used as noise absorbing materials noise pollution control using agro waste involves leveraging agricultural residues to create effective sound-absorbing solutions. This abstraction encompasses the development of materials like acoustic panels, barriers, or insulation from agro waste, providing sustainable and eco-friendly methods to mitigate noise pollution in diverse settings.

Choice modelling of eCooking adoption by households in Ghana

ABSTRACT The use of electric cooking appliances, also referred to as eCooking devices, presents a practical and sustainable solution for achieving universal access to clean cooking facilities by 2030. A choice modelling analysis on the factors that influence the selection of an eCooker in Ghana has been conducted to facilitate market expansion for organisations seeking to offer clean cooking services. The study utilised Analytical Hierarchy Process (AHP), Fuzzy-TOPSIS, and Data Envelopment Analysis (DEA) methodologies to assess and rank electric cookers based on crucial factors such as kWh consumption rate, cooking efficiency, affordability, time-saving features, ergonomics, space utilisation capabilities, compatibility with cookware types, ease of cleaning and maintenance procedures, accessibility, among others. The rate of consumption was identified as the most critical factor, emphasising the significance of energy efficiency in the decision-making process. The analysis showed that the induction stove was optimal, considering both Fuzzy-TOPSIS and DEA evaluations. Although the induction stove may consume a considerable amount of electricity, its efficiency, performance, and other attributes make it the preferred choice. This study presents a systematic approach to assessing and ranking electric cooking stoves in Ghana, offering valuable insights for both consumers and policymakers.

Comparison of pulsed and continuous electromagnetic field generated by WPT system on human dermal and neural cells

In recent decades, we have seen significant technical progress in the modern world, leading to the widespread use of telecommunications systems, electrical appliances, and wireless technologies. These devices generate electromagnetic radiation (EMR) and electromagnetic fields (EMF) most often in the extremely low frequency or radio-frequency range. Therefore, they were included in the group of environmental risk factors that affect the human body and health on a daily basis. In this study, we tested the effect of exposure EMF generated by a new prototype wireless charging system on four human cell lines (normal cell lines—HDFa, NHA; tumor cell lines—SH-SY5Y, T98G). We tested different operating parameters of the wireless power transfer (WPT) device (87–207 kHz, 1.01–1.05 kW, 1.3–1.7 mT) at different exposure times (pulsed 6 × 10 min; continuous 1 × 60 min). We observed the effect of EMF on cell morphology and cytoskeletal changes, cell viability and mitotic activity, cytotoxicity, genotoxicity, and oxidative stress. The results of our study did not show any negative effect of the generated EMF on either normal cells or tumor cell lines. However, in order to be able to estimate the risk, further population and epidemiological studies are needed, which would reveal the clinical consequences of EMF impact.

Households’ energy conservation and efficiency awareness practices in the Cape Coast Metropolis of Ghana

AbstractThermal power generation is the main source of power in the energy mix of the country. Erratic rainfall patterns, the high cost of fossil fuel for thermal generation, and increase electricity demand have contributed to rampant power outages in the recent past. This paper examined energy conservation and efficiency awareness practices of households in the Cape Coast Metropolis of Ghana. It assessed the level and variability in energy conservation practices and the level of energy-savings awareness education among households. Three hundred and ninety-six households were randomly selected from nine communities using stratified sampling techniques. Five stakeholders from the electricity sector were purposively sampled for in-depth interviews. The data sets were modeled using the utility maximization framework to econometrically estimate socioeconomic factors influencing the energy conservation behaviour of households. The findings reveal that years spent in school by household heads, income levels, expenditure, age of households, and the number of times electricity power triples off daily were among the key factors influencing individual households’ choice of energy-efficient appliances. There was significant variability between existing social strata in terms of income and use of electrical appliances among households that warrants policy direction. Based on the findings, this study recommends a robust energy literacy program to improve households’ energy efficiency practices awareness, and to ensure energy cost savings, environmental protection, and climate change mitigation that will enhance the drive towards achieving sustainable development goals seven.

Rationalization of Electrical Energy Consumption in Households through the Use of Cheap IoT Module with Cloud Data Storage

This article explores mechanisms to enhance the efficient utilization of renewable energy sources (RES), with a particular emphasis on photovoltaic installations. One such strategy involves implementing a customized electricity rate system for individual consumers. This paper discusses the potential economic and environmental benefits of transitioning from a flat-rate tariff to a time-of-day tariff. This modification can lead to increased energy consumption during off-peak hours, aligning with occasional periods of photovoltaic installations’ overproduction, which might require their temporary shutdowns. The energy that could be produced by RES is supplied by conventional power plants (mostly coal-fueled). Not only does this have negative effects on the environment, but it also increases energy costs. In order to make an informed decision regarding the change of tariff, the consumer must be aware of its potential benefits and drawbacks. The article introduces an IoT-based, cost-effective system with cloud data storage for monitoring residential electricity consumption, offering various features, including an assessment of the financial viability of switching tariffs. This system has been operational for more than six months in real installation, encouraging homeowners to transition from a flat rate tariff to time-of-day tariff and optimize their use of electrical appliances. The article presents the potential benefits of this action, encompassing both financial aspects for users of the installation and environmental protection issues.

Influence of Occupants’ Space and Appliance Use Patterns and Behaviour during the Discomfort on Electricity Consumption in Mixed Mode Residences

Building characteristics, climate, socio-economic characteristics, and occupant behaviour influence the electricity consumption in buildings. In residential buildings, where people spend a lot of time and have high perceived control over their surroundings, electricity consumption for thermal comfort constitutes a higher proportion of overall energy consumption. Previous research studies mainly focused on the impact of building and household characteristics on electricity consumption in residences. In the Indian context, electricity usage in residential buildings may depend on lifestyle, family composition, daily routines and activity patterns, and consumption habits. In India, the space usage and sharing pattern of internal spaces depend on family composition and the number of rooms. In India, the usage of household appliances has been steadily increasing. During discomfort hours in humid conditions, people use fans with windows in the open position, switch on the air-conditioner or use the fan and air-conditioner together to attain thermal comfort. Therefore, the study aims to assess the impact of family composition, occupants' space and appliance use patterns and behaviour during the thermal discomfort on electricity consumption in Indian residential buildings. Information on the number of occupants, children, and elders; space usage at different hours of the day by the occupants; use of fans, air-conditioners, and other electrical appliances; and frequency and hours of opening of windows were collected through a questionnaire survey from 144 residences. Electricity consumption data for all 144 residences were collected from the utility bills. The variables influencing annual mean electricity consumption per unit area of residential buildings include the number of elders present, age of children, hours of air-conditioner use, space usage pattern, and occupants' behaviour during the discomfort

Reduction in Residential Electricity Bill and Carbon Dioxide Emission through Renewable Energy Integration Using an Adaptive Feed-Forward Neural Network System and MPPT Technique

Increasing electricity demand and the emergence of smart grids have given home energy management systems new potential. This research investigates the use of an artificial neural network algorithm for a home energy management system. The system keeps track of and organizes the use of electrical appliances in a typical home with the objective of lowering consumer electricity bills. An artificial-neural-network-based maximum-power-point-tracking scheme is applied to maximize power generation from photovoltaic sources. The proposed neural network senses solar energy and calculates load requirements to switch between solar and grid sources effectively. The implementation of improved source utility does not require numerical calculations. Traditional relational operator techniques and fuzzy logic controllers are compared with the suggested neural network. The model is simulated in MATLAB, and the results show that the artificial neural network performs better in terms of source switching following load demand, with an operating time of less than 2 s and a reduced error of 0.05%. The suggested strategy reduces electricity costs without affecting consumer satisfaction and contributes to environmental friendliness by reducing CO2 emissions.

The determinants of household electricity demand in Turkey: An implementation of the Heckman Sample Selection model

Residential areas have a significant share in electrical energy consumption in Turkey. At this point, determining electricity consumption demand in residential areas will significantly contribute to ensuring energy efficiency throughout the country. Accurate econometric modelling of the relationships between the various socio-economic characteristics of households and their energy consumption/expenditure can serve as a basis for policymakers when planning investments aimed at efficiency on primary energy consumption in residences. Considering these issues, this study aims to examine the electricity consumption demand in residential areas in Turkey in terms of various socio-economic and building and property characteristics variables. At this point, the fact that some households have zero electricity consumption has led to the need to use censored regression models. The Heckman Sample Selection model was used, which makes it possible to estimate the consumption decision of individuals in two stages and eliminates the parameter bias problem caused by linear regression analysis. Heckman Sample Selection modelling was carried out in the study using Turkish Statistical Institute (TURKSTAT) 2019 Household Budget Survey data. According to the results, it has been determined that annual disposable income, various demographic variables (age, education level, marital status), characteristics of the house (size) and the presence of various electrical household appliances (air conditioner, tumble dryer, deep freezer) have significant effects on electricity consumption. The systematic preparation of informative brochures on the effective use of household electrical appliances can significantly contribute to efficiency. In addition, in countries like Turkey that depend on foreign energy, providing incentives towards renewable energy sources is considered necessary to contribute to the country's economy positively.

SOSIALISASI DAN PENYULUHAN PENGGUNAAN LISTRIK YANG AMAN DAN PRODUKTIF BAGI MASYARAKAT

Electricity users on a household scale range from children to adults. Like fire, although it has many benefits, electricity also holds potential dangers if handled improperly. Knowledge of how to use electricity safely and productively to reduce the level of electricity hazard and to support the efficiency and conservation of household electricity in a sustainable manner should be owned by electricity users in every home. With regard to the safe and productive use of household electrical appliances, counseling was carried out on the safe and productive use of household electrical appliances to the community in the Tengah- Tengah Village Environment, Central Maluku Regency. This activity is an extension activity led by Thematic KKN Students in Tengah-tengah Village in collaboration with PT PLN (Persero) UIW Maluku and North Maluku to provide education to the community about the importance of understanding the use of electrical energy by providing material and understanding to the community about the importance of using electrical equipment in accordance with SNI standards

How a Household Survived a Natural Hazard-Triggered Blackout with Photovoltaic and Battery Energy System: A Report of 2018 Hokkaido Eastern Iburi Earthquake in Japan

Energy-generating and storage systems, such as photovoltaic (PV) panels and energy storage batteries in homes, are becoming increasingly popular in the context of decarbonization. The systems are also expected to increase household resilience to natural hazard-triggered blackouts. However, how these systems contribute to the use of electrical appliances in households in actual cases is not sufficiently known. Therefore, this report aims to describe the activities that a household with an energy-generating and storage system could undertake during a natural hazard-triggered blackout. We focused on the blackout triggered by the 2018 Hokkaido Eastern Iburi Earthquake (approximately 2.95 million households lost power) and conducted an interview with a household living in a detached all-electric house with a PV and battery system. The results showed that the household lived without inconveniences during the blackout due to the power supply from the installed system, despite the weather. They charged cell phones and used a television, refrigerator, microwave oven, cooking heater, and bath. Moreover, the household’s electricity was also supplied to other households. These results clarified the actual benefit of enhancing household and community resilience of the systems. The results will aid household decision-making for the installation and governmental consideration of subsidies.

Household resilience realized by photovoltaic and battery energy system in natural hazard-triggered blackouts: Evidence from Japan

Photovoltaic (PV) panels, increasingly popular due to decarbonization, are expected to increase household resilience during natural hazard-triggered blackouts. Their effectiveness is also expected to improve with the addition of storage batteries. However, PV ownership does not necessarily lead to electricity use in blackouts; even when used, the actual use of electrical appliances is unclear. We examined households that owned PV panels and experienced a natural hazard-triggered blackout to determine what barriers and facilitating factors existed for using PV electricity, which electrical appliances could be used with PV, and whether the benefits of PV changed with storage batteries. A questionnaire survey targeted households in Japan that experienced blackouts caused by the 2018 Hokkaido Eastern Iburi earthquake and the 2019 Typhoon Faxai, respectively, and their responses (n = 282 and 259, respectively) were analyzed. Descriptive statistics showed that while it was sometimes necessary to switch PV systems to stand-alone operation mode during blackouts, most respondents who did not use PV systems did not know how to operate them, which was a barrier to their use. The main facilitating factors were preparation like advance explanations from the sales staff and the regular manual check for use in case of blackouts. Bayesian item response theory models demonstrated that PV electricity enabled households to use a variety of electrical appliances, including those related to food and communication (i.e., refrigerators and cell phone chargers), whose needs increased during the blackouts. The probability of each appliance being used increased in households with batteries. The above results were commonly confirmed regardless of hazard type. These findings will improve the disaster resilience of households equipped with PV panels and batteries, as well as spread the installation of such equipment by highlighting their benefits.

Breathing Room: Cleaner Fuels for Home Cooking in LMICs.

Breathing Room: Cleaner Fuels for Home Cooking in LMICs.

Simulating the Diffusion of Residential Rooftop Photovoltaic, Battery Storage Systems and Electric Cars in Italy. An Exploratory Study Combining a Discrete Choice and Agent-Based Modelling Approach

Rooftop solar photovoltaic (PV) systems could significantly contribute to renewable energy production and reduce domestic energy costs. In Italy, as in other countries, the current incentives generate a modest annual increase after the generous fiscal incentives that kick-started the PV market in the 2008–2013 period. Several factors are, however, at play that can speed up the installation process, such as the improvements in PV technology at declining prices, the increased availability of battery-storage (BS) systems, the growing use of electric appliances, the uptake of electric cars, and the increased environmental awareness. We integrate two research methodologies, discrete choice modeling and agent-based modeling, to understand how these factors will influence households’ decisions regarding PV and BS installations and how agents interact in their socioeconomic environment. We predict that in Italy, given the preference structure of homeowners, the continuing decline in costs, and the social interaction, 40–45% of homeowners will have PV or PV and BS installed by 2030, thanks to the existing investment tax credit policy.

PM2.5 elemental composition in indoor residential environments and co-exposure effects on respiratory health in an industrial area

This study aimed to identify and characterise indoor sources of particulate matter (PM) in domestic environments. 74 inhabited apartments located in the urban area of Gela (Sicily, Italy), close to a refinery, and in three villages of the hinterland were evaluated, in real-world conditions, for the elemental composition of PM2.5. The samples were collected simultaneously inside and outside each apartment for 48 h. In addition, two of the apartments were simultaneously studied for four weeks.The elemental composition of PM2.5 was determined by applying a chemical fractionation procedure followed by inductively-coupled plasma spectrometry analysis, with both optical emission and mass detection. The extractable, more bio-accessible fraction (ext), and the mineralised residual fraction (res) of each element were determined, thus increasing the selectivity of elements as source tracers.Indoor air in the considered apartments was affected by both outdoor pollution and specific indoor emission sources. The behaviour of each source was studied in detail, identifying a reliable tracer: Tires for soil, Asext for industrial sources, Vext for heavy oil combustion, Ce for cigarette smoking and Mo for the use of vacuum dust cleaners. Asext and Vext showed an excellent infiltration capacity, while the concentration of Tires was affected by a low infiltration capacity and by the contribution of particles re-suspension caused by the residents' movements. In the case of Ce and Mo, indoor concentrations were much higher than outdoor with a high variability among the apartments, due to the inhabitants’ habits concerning cigarette smoke and use of electric appliances. To test the overall effect of the concomitant exposure to the identified sources on Wh12 M and on DDA, a WQS analysis was conducted. Cigarette smoking and heavily oil combustion driven the Wh12 M odds increase, while the DDA odds increase was mainly driven by heavily oil combustion and the use of vacuum dust cleaners.

In a New Light: Histories of Women and Energy

In a New Light: Histories of Women and Energy

Analysis of Thermal Characteristics and Electrical Signal Using a Damaged Multi-outlet

Recently, the use of multi-outlets has been increasing owing to the increased use of electrical appliances in households. The majority of users do not replace multi-outlets for several months or even years after purchase. Moreover, with the intention to save energy and prevent fire, users frequently unplug electrical appliances from multi-outlets, which may cause structural defects. Owing to a poor connection between the multi-outlet and plug, there is a risk of generating local heat, which may lead to fire. Therefore, in this study, a damaged multi-outlet with structural defects owing to long-term use is secured through repeated tests, and the risk of fire is determined based on its thermal characteristics and electrical current generated during use. It was confirmed that the temperature of the main switch was higher than that of the plug connection, and the damaged multi-outlet temperature was up to 2.4-fold higher than normal.

Intelligent Reasoning Rules for Home Energy Management (IRRHEM): Algeria Case Study

Algeria is characterized by extreme cold in winter and high heat and humidity in summer. This leads to an increase in the use of electrical appliances, which has a negative impact on electrical energy consumption and its high costs, especially with the high price of electricity in Algeria. In this context, artificial intelligence can help to regulate the daily consumption of electricity, by optimizing the exploitation of natural resources and alerting the individual to avoid energy wasting. This paper proposes a decision-making tool (IRRHEM) for managing electrical energy at smart home. The IRRHEM solution is based on three elements: the use of natural resources, the notification of the inhabitants in case of resources misuse or wasting behavior, and the aggregation of similar activities at same time. Additionally, based on the proposed intelligent reasoning rules, residents’ behavior and activities are represented by OWL (Ontology Web Language) and written and executed through SWRL (Semantic Web Rule Language). Finally, the (IRRHEM) solution is tested in a home located in Algiers city inhabited by a family of four persons. The IRRHEM performance evaluation results are very promising and show a 3.60% rate of energy saving.