Increase In Electricity Consumption Research Articles

Solar Cell Innovation: Energy Source Drive Sewing Machine in D'Kartinis Group Eco-Friendly Sewing House

The economic level of the people of Teluk Kabung Utara, Padang City, West Sumatra Province is still at the middle to lower level. Its location close to the beach makes the majority of people work as fishermen, farmers, and casual laborers. In addition, industrial growth has an impact on increasing electricity consumption. This study aims to describe the Eco-Friendly Sewing House program fostered by PT Pertamina Patra Niaga Integrated Terminal Teluk Kabung in the economic sector to improve the economic level of the community. The research method used is descriptive-qualitative with data collection techniques in the form of interviews, observations, and documentation. The results of this study show that activities and innovations in the Eco-Friendly Sewing House program carried out by the D'kartinis group have an impact on improving the economy of the North Kabung Bay community. On the other hand, this program is a medium in preserving the environment by utilizing renewable energy in the form of solar cells as alternative electric power to drive sewing machines. The goal is to become a sustainable development program that is environmentally friendly and prospers the community. The existence of this program is expected to empower the community to get out of problems and maximize their potential, and the implementation of the program is not only felt by the people of North Teluk Kabung but also outside Padang City.

What factors drive the temporal-spatial differences of electricity consumption in the Yangtze River Delta region of China

Effective control of electricity consumption is crucial to achieving China's dual carbon goals, as it can significantly reduce coal consumption and associated carbon emissions. Using the Logarithmic Mean Divisa Index (LMDI) method, this paper constructs a two-stage decomposition model, which can divide total electricity consumption into industry and domestic electricity consumption and further examine the differential driving mechanism of the two types of electricity consumption separately. Taking the Yangtze River Delta as the research object, this paper analyzes the drivers of its temporal differences in total electricity consumption from 2000 to 2019 and fills the research gap in the identification of drivers of spatial differences in electricity consumption. The results showed: (1) Industry electricity consumption is the main driver of the increase in total electricity consumption, with economic growth and domestic electricity intensity being the primary and secondary factors behind this trend. The population scale also contributes to the increase. However, the effects of industrial structure, industry electricity intensity, and urbanization on total electricity consumption are not constant over time. This paper further decomposes the factors influencing changes in total electricity consumption in the provinces of Shanghai, Jiangsu, Zhejiang, and Anhui. (2) The spatial difference of electricity consumption between the other three provinces and Shanghai mainly comes from industry electricity consumption. (3) There are two kinds of conversion relations for the spatial-temporal differences of total electricity consumption. According to the conclusion, the targeted countermeasures and suggestions for total electricity consumption control are obtained.

Does the increased electricity consumption (provided by capacity expansion and/or reliability improvement) cause economic growth?

Research suggests a strong correlation between a region's electricity consumption and its economic growth. Microgrids expand cleaner electricity production, improve electricity availability/reliability/resilience, and provide a more dependable platform for technology-based economic activities. This dependability has the potential to attract more investors to the microgrid region, which may induce additional economic growth (compared to the region's historical trends). Since there is not enough statistical data to test the relationship for microgrid footprints, this paper studies the correlation between electricity and the economy to investigate whether the nexus between electricity consumption and economic growth is two-way. A brief survey indicates the existence of a clear relationship in over 75% of 317 cases reviewed. This research has also shown a tight feedback relationship between electricity and economic activity in the U.S. through a comprehensive model-based study and the Granger causality concept. Drawing on research, we infer that an improvement in electricity reliability can increase the potential for regional economic growth. A causal loop diagram (CLD) is also provided as a visual model to justify the feedback relationship.

Electricity Consumption by ICT: Facts, trends, and measurements

This paper considers key issues surrounding energy consumption by information and communication technologies (ICT), which has been steadily growing and is now attaining approximately 10% of the worldwide electricity consumption with a significant impact on greenhouse gas emissions. The perimeter of ICT systems is discussed, and the role of the subsystems that compose ICT is considered. Data from recent years is used to understand how each of these sub-systems contribute to ICT's energy consumption. The quantitatively demonstrated positive correlation between the penetration of ICT in the world's different economies and the same economies' contributions to undesirable greenhouse gas emissions is also discussed. The paper also examines how emerging technologies such as 5G, AI, edge computing, and cryptocurrencies are contributing to the worldwide increase in electricity consumption by ICT, despite the increases in ICT efficiency, in terms of energy consumed per bit processed, stored, or transmitted. The measurement of specific ICT systems' electricity consumption is also addressed, and the manner in which this consumption can be minimized in a specific edge computing context is discussed.

The role of power – to – hydrogen in carbon neutral energy and industrial systems: Case Finland

To combat climate change, decarbonization measures are undertaken across the whole energy sector. Industry and transportation sectors are seen as difficult sectors to decarbonize, with green hydrogen being proposed as a solution to achieve decarbonization in these sectors. While many methods of introducing hydrogen to these sectors are present in literature, few system-level works study the specific impacts of large-scale introduction has on power and heat sectors in an energy system. This contribution examines the effects of introducing hydrogen into a Finnish energy system in 2040 by conducting scenario simulations in EnergyPLAN – software. Primary energy consumption and CO2 emissions of the base scenario and hydrogen scenarios are compared. Additionally, the differences between a constant and flexible hydrogen production profile are studied. Introducing hydrogen increases electricity consumption by 31.9%, but reduces CO2 emissions by 71.5% and fossil energy consumption by 72.6%. The flexible hydrogen profile lowers renewable curtailment and improves energy efficiency but requires economically unfeasible hydrogen storage. Biomass consumption remains high and is not impacted significantly by the introduction of hydrogen. Additional measures in other sectors are needed to ensure carbon neutrality.

Analisis Konsumsi Listrik di Provinsi Papua terhadap Pengaruh Investasi, Belanja Pengeluaran Daerah, Indeks Pembangunan Manusia dan Jumlah Penduduk

Electricity consumption is an important factor in driving economic growth. Increasing economic growth will increase electricity consumption, and vice versa. The effect of the growth of electricity consumption on economic growth in Papua Province is a goal to be known through this research. To achieve this goal, secondary data for 2012–2022, sourced from the Central Bureau of Statistics for Papua Province and PT. PLN (Persero) Papua and West Papua regions, are processed using a quantitative approach and multiple regression analysis model. This secondary data includes investment value, regional expenditure, the human development index, and population, which is an independent variable. While the electricity consumption data is a dependent variable. The results of the study show that simultaneously, all independent variables have a significant effect on the dependent variable. The value of investment, regional expenditures, and the human development index have a positive but not significant effect on increasing electricity consumption. While the population has a positive and significant influence on increasing electricity consumption.

The Dynamic Simulation Analysis of the Impact of Urbanization and Globalization on Environmental Quality

This study aims to analyze the effect of urban population and economic globalization on air quality in Turkey for the period 1970–2017, including GDP and electricity consumption as control variables. This paper is the first attempt to apply the dynamic autoregressive-distributed lag (DARDL) approach to explore the association between carbon emissions, urbanization, economic globalization, GDP, and electricity consumption in Turkey. The analysis results suggested the existence of a cointegration relationship between all series in the long run. DARDL results revealed that while urbanization has a statistically significant effect on carbon emissions in the short or long run, economic globalization has a positive impact in the long run. That is, economic globalization increases carbon emissions by about 0.15 percent. Thus, it can be said that globalization is more critical than urbanization in terms of environmental costs. In addition, it was determined that GDP and electricity consumption increase carbon emissions in both the long and short run. Also, the response of CO2 emissions to all shocks in the explanatories was determined. All future shocks of electricity consumption lead to no change in CO2 emissions. The negative shocks of both urbanization and globalization decrease CO2 emissions in the short run, but the response of CO2 is stable in the long run. The effects of a shock in GDP are exactly the opposite.

Investigating Winter Temperatures in Sweden and Norway: Potential Relationships with Climatic Indices and Effects on Electrical Power and Energy Systems

This paper presents a comprehensive study of winter temperatures in Norway and northern Sweden, covering a period of 50 to 70 years. The analysis utilizes Singular Spectrum Analysis (SSA) to investigate temperature trends at six selected locations. The results demonstrate an overall long-term rise in temperatures, which can be attributed to global warming. However, when investigating variations in highest, lowest, and average temperatures for December, January, and February, 50% of the cases exhibit a significant decrease in recent years, indicating colder winters, especially in December. The study also explores the variations in Atlantic Meridional Overturning Circulation (AMOC) variations as a crucial climate factor over the last 15 years, estimating a possible 20% decrease/slowdown within the first half of the 21st century. Subsequently, the study investigates potential similarities between winter AMOC and winter temperatures in the mid to high latitudes over the chosen locations. Additionally, the study examines another important climatic index, the North Atlantic Oscillation (NAO), and explores possible similarities between the winter NAO index and winter temperatures. The findings reveal a moderate observed lagged correlation for AMOC-smoothed temperatures, particularly in December, along the coastal areas of Norway. Conversely, a stronger lagged correlation is observed between the winter NAO index and temperatures in northwest Sweden and coastal areas of Norway. Thus, NAO may influence both AMOC and winter temperatures (NAO drives both AMOC and temperatures). Furthermore, the paper investigates the impact of colder winters, whether caused by AMOC, NAO, or other factors like winds or sea ice changes, on electrical power and energy systems, highlighting potential challenges such as reduced electricity generation, increased electricity consumption, and the vulnerability of power grids to winter storms. The study concludes by emphasizing the importance of enhancing the knowledge of electrical engineering researchers regarding important climate indices, AMOC and NAO, the possible associations between them and winter temperatures, and addressing the challenges posed by the likelihood of colder winters in power systems.

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

Infrared thermography (IRT) has become an interesting alternative for performing condition assessments of different types of induction motor (IM)-based equipment when it operates under harsh conditions. The reported results from state-of-the-art articles that have analyzed thermal images do not consider (1): the presence of more than one fault, and (2) the inevitable noise-corruption the images suffer. Bearing in mind these reasons, this paper presents a convolutional neural network (CNN)-based methodology that is specifically designed to deal with noise-corrupted images for detecting the failures that have the highest incidence rate: bearing and broken bar failures; moreover, rotor misalignment failure is also considered, as it can cause a further increase in electricity consumption. The presented results show that the proposal is effective in detecting healthy and failure states, as well as identifying the failure nature, as a 95% accuracy is achieved. These results allow considering the proposal as an interesting alternative for using IRT images obtained in hostile environments.

Measuring energy-based environmental efficiency of buildings using data envelopment analysis models - a hospital application case

PurposeThis study aims to investigate environmental efficiency based on energy change by using energy-related or nonenergy-related variables by reckoning with months and years as decision-making units (DMUs) for a hospital under radial and nonradial models.Design/methodology/approachThe non-oriented slack-based measures (SBM)-data envelopment analysis (DEA) model considering desirable and undesirable outputs has been embraced in this study, where its obtained results were compared with the results of other DEA models are output-oriented SBM-DEA and Banker, Charnes, & Cooper-DEA. For this purpose, this research has used a data set covering the 2012–2018 period for a reference hospital, which includes energy-related and nonenergy-related variables.FindingsThe results demonstrate that environmental efficiency based on energy reached the highest level in the winter months, whereas the summer months have the lowest efficiency values arising from the increasing electricity consumption due to high cooling needs. According to results of the non-oriented SBM model, the month with the highest efficiency in all periods is January with a 0.936 average efficiency score, the lowest month is August with a 0.406 value.Originality/valueThis paper differs from other studies related to energy and environmental efficiencies in the literature with some aspects. First, to the best of the authors’ knowledge, this study is the first one that takes into account time periods (months and years) as (DMUs for a single organization. Second, this study investigates environmental nonefficiencies, which are derived from energy uses and factors affecting energy use.

Analysis of Jamrao canal for potential of hybrid photovoltaic/hydrokinetic turbine system

The rapid depletion of fossil fuels, increased electricity consumption, and global environmental concerns have led to shift electricity generation from non-renewable to renewable energy sources. Solar photovoltaic (PV) technology is increasing with significant land requirement. To conserve this valuable land and water evaporation, PV panels are being installed on water bodies such as irrigation canals, lakes and dams. Researchers have found that hybrid power generation systems are more efficient than single power generating system, thus by covering canals with solar panels and harnessing the kinetic energy of flowing water using hydrokinetic turbines (HKT), a massive amount of electricity can be generated. The Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in this study to stimulate and acquire the best results and configuration for a hybrid PV/hydrokinetic system in district Sanghar of Sindh province in Pakistan. Model is designed by covering the 1 km canal surface with PV and the hydrokinetic turbines along with it. The overall potential for 1 km length of canal for both PV/hydrokinetic turbine system is found around 2.8 MW with payback period in 5.7 years and by saving 324.58 million cubic meters of water in terms of evaporation with annual saving in GHG emissions of 416,451.74 kg/yr.

Ecological footprint, electricity consumption, and economic growth in China: geopolitical risk and natural resources governance

This paper examines the relationship among ecological footprint (EF), electricity consumption, and GDP in China using annual data ranging from 1960 to 2019. However, factors like trade openness, urbanization, and life expectancy might increase EF as ecological distortions are mainly human-induced. This study explores the effect of these variables on the environment, which is captured by EF. Quantile Regression estimates indicate that electricity consumption and real GDP increase environmental degradation, while trade and urbanization reduce EF, allowing for a higher environmental quality. On the other hand, the spectral Granger-causality tests reveal that only urbanization and life expectancy affect environmental degradation over the whole frequency domain. In the current geopolitical scenario, relevant policy implications may be derived.

Rapid increase of the nighttime electricity demand in Beijing due to compound heatwaves

Under the carbon-neutral development pathway in China, >96% of the total power generation will be provided by clean energy sources by 2060. However, since solar power generation is unavailable at night, it is crucial to investigate the changes in nighttime electricity demand in response to increasing occurrences of tropical nights. This study reveals that nighttime electricity consumption is more sensitive to temperature changes compared to daytime consumption, which has already been extensively studied. The correlation coefficient between nighttime consumption and daily minimum temperature (Tmin) is found to be 0.7. Furthermore, the elasticity of nighttime electricity consumption increases even more when Tmin exceeds 24 °C. The combined effects of heatwaves occurring during both daytime and nighttime can further increase electricity consumption by 40%. By utilizing a high-resolution hybrid downscaling climate projection dataset, we estimate the electricity consumption at the end of the 21st century. The frequency of compound daytime/nighttime heat extremes is projected to increase to 4.2 times the current level under RCP4.5. Consequently, the frequency of large nighttime electricity consumption over 6 kWh per capita will rise by 109%. Our quantitative analysis sheds light on the necessity of energy storage planning to ensure energy security under climate change.

Why has the OECD long-run GDP elasticity of economy-wide electricity demand declined? Because the electrification of energy services has saturated

Understanding the income/GDP and price elasticities of energy/electricity demand is important for forecasting demand and evaluation of the potential impact of policies. Recent work on the GDP elasticity of economy-wide electricity demand has suggested that this elasticity is both substantially smaller than that of economy-wide energy demand and possibly has declined substantially over time. We assemble the largest OECD country panel to date to analyze the GDP and price elasticities of economy-wide electricity demand. We use an approach that addresses several key aspects of long-panel, macro modeling—cross-sectional dependence, country heterogeneity, and dynamic adjustments—and approximates temporal heterogeneity. We find that: (1) the GDP elasticity of economy-wide electricity demand has declined over time; and (2) that elasticity is now possibly as low as 0.2. In addition, we produce evidence that the reason for that decline is the saturation of the electrification of energy services in OECD countries. Hence, were more energy services to become electrified (e.g., transport), we would expect the GDP elasticity of economy-wide electricity demand to increase (e.g., toward 0.5—the GDP elasticity for gasoline demand). This saturation finding is important for forecasts of electricity consumption as well as for climate change mitigation policy; the finding is important because suggests that substantially increasing the electrification of energy services—one of two prongs in a carbon mitigation strategy—will/may lead to an increase in the GDP elasticity for electricity as well as to the potentially rapid increase in electricity consumption.

5G technology to help the development of smart grids: A review

The continuous advancement of technology has led to an increase in electricity consumption by residential, industrial, commercial, and other users in all aspects, and the demand for electricity quality is also increasing. In such a context, the smart grid is regarded as a new generation of power systems. The smart grid uses advanced communication and information processing, remote automatic control, and other technologies to achieve precise control of fault removal, three-dimensional monitoring of the system and optimal dispatch of electrical energy; while ensuring that the reliability of the power supply can be maintained even when a variety of uncontrollable renewable energy sources and a large number of new electricity loads are connected. Smart upgrades require strong communication systems to support them, and the characteristics of 5G technology perfectly match the various needs of smart grids for wireless communication, which is why 5G is widely studied. This paper is a review of the use of 5G technology in smart grids. Firstly, an overview of wireless communication in smart grids is given, and then the three main scenarios for the use of 5G and various grid services are adapted. This is followed by a summary of the problems and under-researched areas in the use of 5G in smart grids. In the end, the current advanced solutions are summarised and analyzed, and it is determined that the most urgent issues to be addressed in the use of 5G in smart grids are the confidentiality of critical data, network anti-attack capability, and other security guarantees. There is also further value in the use of big data to calculate the optimization of energy dispatch solutions. In general, its development prospects are quite optimistic.

Economic and Organizational Mechanism for Stimulating Development of Environmentally Friendly Technologies in Transport

he demand for electric vehicles and plug-in hybrids, supported by green technologies and the IT-sector, is making significant changes in the structural transformation of the economy. The coverage of energy and raw materials markets bythe reduction in the consumption of petroleum products does not allow us to assert confidently that tax losses will be compensated by revenues from the increase in electricity consumption, including from the transport infrastructure. This is partly due to different levels of taxation of electricity and oil products. Removing obstacles hindering the development of electric vehicles through fiscal policy is an important prerogative of the state. On the part of the state, timely measures are needed regarding the revision of taxes and tax rates in support of the development of mechanisms for the introduction of environmentally friendly electric transport, plug-in hybrids, adaptive expansion of infrastructure for vehicle categories M, MG, N, NG, as well as minimizing losses from tax maneuvers of foreign trade relations. Investors are more likely to respond to positive market signals, where in many cases government regulation has a significant impact on the sustainable and economically safe formation of the investment climate. The development of electric transport narrows the fleet of cars on internal combustion engines, or on a fossil energy source. The fall in demand for oil products will hold back the replenishment of the budget revenue savings by reducing tax revenues on fuel. In order to avoid loss of economic benefits with the renewal of the car fleet with electric vehicles, the paper examines the mechanism for adapting the motor vehicle service to modern challenges of the global economy.

Cool Cementitious Materials for a More Sustainable Urban Environment

The temperature increase in cities called the “urban heat island” (UHI) depends on the local microclimate (e.g., solar irradiation, population, buildings density, industrial activities, traffic, emissions, heat sources) and results not only in increased electricity consumption for indoor cooling but also in decreased outdoor comfort, especially in summer periods or in warm climate zones. As the world’s urban population continues to grow, there is an urgency to make buildings more ecoefficient and reduce the impact of cities on climate change and global warming. In this framework, the use of cool concretes can mitigate the UHI and improve energy saving and outdoor comfort: cool concrete roofs and facade cement-based tiles can provide valid solutions to decrease the energy demand for air conditioning in building envelops; moreover, cool concrete paving blocks and pervious pavements can improve urban comfort for outdoor wellbeing. The present work shows the improved solar reflective performance of three cool cementitious solutions compared with traditional ones, with both white and colored surfaces, to fulfill both architectural demand and sustainability issues without any additional post-treatments or after placing steps, such as surface coating. Finally, the study is completed with the durability evaluation of the products’ solar reflective performance.

Smart energy monitoring and power quality performance based evaluation of 100-kW grid tied PV system

Globally, the demand for energy from renewable sources is growing due to the increasing electricity consumption and the pollution of fossil fuels. The government has framed various policies to facilitate green energy generation, encouraging renewable energy source usage through PV installations in multiple sectors, including educational institutions. The primary objective of this paper is to propose a methodological approach for analysing the performance of the installed PV system on the rooftop of a university building in Tamil Nadu, India. The site selected is favourable for electricity generation from PV systems with an average global solar radiation of 5.82 kWh/m2day. Solar energy changes periodically with annual and daily variations and is not steady due to seasonal changes. The step-by-step performance assessment and the annual performance of the 100-kW solar PV system, which was instituted in 2019, with the forecasted parameters, are presented in this paper. Therefore, the assessment analysis is carried out in four phases: feasibility assessment, Energy yield assessment, Life cycle assessment, and Power quality assessment. To improve the solar PV output and efficiency, considering the solar irradiation, temperature, wind velocity, etc., PV yield is measured to evaluate the PV system's energy metrics. This paper also considers the carbon credits earned, solar power generated in the location, and the payback period. The power quality assessment is carried out in this paper to test the PV plant's compliance with effective grid integration.

Power Electronic Technology in Smart Grid Prospect

bstract: Electric energy is an extremely complex energy source that has become increasingly important in industry, agriculture, the economy, and daily life. The annual increase in electricity consumption symbolizes more stable economic growth in China, but there are still some problems. Power outages, low power quality, and complex power grid structures are issues that the power grid is facing. The development of power systems, the emergence of power electronics technology, and continuous research on power electronics technology can provide a feasible solution for alleviating and overcoming power problems. This article first summarizes the basic principles of power electronics technology in the construction of intelligent fields and then analyses the current examples of smart grid applications, including high-voltage direct current transmission, high-frequency technology, and intelligent switch technology. Finally, the possibility and potential for the development of power electronics technology were pointed out.

Analysis of cyclic frosting and defrosting of a vehicle heat pump

Heat pumps are used for energy-efficient heating in electric vehicles. If ambient air is used as a heat source, frost may form on the surface of the exterior heat exchanger at low ambient temperatures. If significant amounts of frost accumulate, the heat exchanger performance degrades and it must be defrosted. The aim of this work is the energy analysis of a heat-release-controlled vehicle heat pump with a direct flat tube evaporator in cyclic frosting and defrosting operation. The effects of fan speed and number of refrosting phases on the heat quantity released per frosting phase are analyzed on a laboratory test rig. The experiments show that the heat quantity released decreases with lower fan speed and increasing number of frosting phases. Defrosting operation parameters are also examined using the test rig and it is found that shorter defrosting times can be achieved at higher compressor speeds and larger expansion valve openings. A numerical model of the heat pump in cyclic frosting and defrosting operation is developed and validated using test rig data. An average relative deviation of less than 7% is determined between the model and experimental data. The heat pump is then integrated in a prototypical vehicle and the model is calibrated with experimental data from test drives. A numerical study of the validated vehicle heat pump model in cyclic frosting and defrosting operation shows a maximum increase of the mean total electric power consumption of 33% between dry air and saturated moist air at an ambient temperature of 0 °C. At an ambient temperature of -10 °C the mean total electric power consumption increases by 17% from dry air to saturated moist air conditions.