Energy-saving Lamps Research Articles

Konversi Limbah Organik Menjadi Sumber Cahaya Berkelanjutan: Pendekatan Teknologi untuk Lampu Hemat Energi

In an effort to reduce environmental impact and utilize renewable resources, this research explores the conversion of organic waste into a sustainable light source through a technological approach for energy-saving lamps. The organic waste processing method is carried out by utilizing a fermentation process and special material synthesis to produce environmentally friendly light components. This study includes characterization of the converted components as well as performance tests of the resulting lamps, including energy efficiency, light quality and service life. The results show great potential in converting organic waste into a reliable and energy-efficient light source, and offer an innovative solution to address the organic waste problem while promoting energy sustainability.

Recovery of europium from E-waste using redox active tetrathiotungstate ligands

Rare-earth elements (REEs) are critical to our modern economy, yet their mining from natural ores bears a profound environmental impact. Traditional separation techniques are chemical and energy-intensive because their chemical similarities make REEs very challenging to purify, requiring multiple extraction steps to achieve high purity products. This emphasizes the need for sustainable and straightforward separation methods. Here we introduce a strategy for the direct separation of europium (Eu) from complex mixtures under ambient conditions, leveraging on the redox non innocence of purely inorganic tungsten tetrathiolate (WS42−) ligands. The recovery of Eu is achieved upon reduction of Eu(III) to a Eu(II) coordination polymer, driven by an induced internal electron transfer from the tetrathiotungstate ligand. Applying this strategy to unconventional feedstock such as spent energy-saving lamps allows selective europium recovery with separation factors over 1000 and recovery efficiency as high as 99% without pre-treatment of the waste.

Assistance in Manufacturing Photocells in Village Hall Lights as Efforts to Improve Lighting Effectiveness

The lighting in the Sumberbendo village hall already uses LED lights and energy-saving lamps with varying capacities. Based on the results of observations, The system installed to operate the lights is still in operation manually through switch Which connected to light lighting. Pattern like This requires residents who live around the Village Hall to regularly devote their time For turn on And turn off light the. Condition in the field found there are still many PJU lights that have not been turned off even though the conditions are bright, and Not yet turned on although condition Already start dark, naturally matter This will affecting comfort and safety as well as the use of electrical energy that does not efficient. Based on the results of discussions with the Village, community service activities This will focused on modification light lighting on Hall Village with adding photocell technology so that the Village Hall lights operate can taking place in a way automatic . Beside That, done Also transfer knowledge.

Voltage Deviation Influence on Electric Sizes of Lighting Lamps

The influence of voltage deviation from the nominal value of 220 V on the illumination of incandescent lamps and arc sodium tubular lamps (HPS) is presented. It has been established that voltage deviations from the nominal value do not affect the illumination of energy-saving and LED lamps. It is shown that most of the energy-saving LED and HPS lamps used in household and street lighting in Dushanbe have a low active power factor, which, in turn, leads to an increase in reactive power consumption in the electrical network.

ANALYSIS OF THE IMPACT OF LEED CERTIFICATION TECHNICAL REQUIREMENTS ON CALCULATED ENERGY PERFORMANCE OF AN OFFICE BUILDING

The article presents an analysis of the impact that meeting LEED certification criteria hason the calculated energy performance of a building based on Polish regulations regarding themethodology for determining the energy performance of a building, taking into account thetechnical modernization that affects the final result of the analysis. Calculations were carried outon the example of an office building. The analysis covered scope that combines LEED certificationand energy performance, such as water use and indoor lighting. The calculations were made ina program designed for energy performance calculations. The use of energy-saving lamps (46%lower energy use in relation to standard lamps) or fittings limiting the water flow from the tap(26% lower water use) did have a positive impact on the final calculation of post-modificationenergy performance, according to which the demand for primary energy was reduced by 36%.The static analysis was performed using commercial software for preparing energy performancecertificates and on the basis of formal guidelines set out by the LEED certification.

Flexible wood-based triboelectric nanogenerator for versatile self-powered sensing

With the continuous advancement of internet of things, big data, and artificial intelligence technologies, self-powered functionalized applications have emerged as pivotal components in the realm of smart technology. Here, we present a flexible and environmentally sustainable wood-based triboelectric nanogenerator (W-TENG) that enables the self-powered functionalization of applications in the emerging smart field. By employing a straightforward yet effective approach utilizing natural balsa wood, the W-TENG exhibits remarkable flexibility, stability, and sensitivity. Notably, balsa wood possesses a lower weight, density, and crystallinity compared to other types of natural wood, resulting in thinner internal cell walls, larger individual cells and a more porous structure. These characteristics prove particularly advantageous for solvent modification. Given the prevalent use of wood materials in domestic construction, the energy-efficient W-TENG can be seamlessly integrated into various smart applications, including wireless switches, home flooring, and energy-saving lamps. Moreover, this integration offers several benefits such as cost-effectiveness, high durability, ease of processing, and environmental friendliness. This research not only expands the range of self-powered applications in the smart sector but also drives the development of eco-friendly W-TENG electronics.

Analysis of the Influence of Office Building Operating Characteristics on Carbon Emissions in Cold Regions

Reducing buildings’ operational carbon dioxide emissions has become a crucial element in China’s efforts to achieve carbon peak and carbon neutrality targets. This study focus on the influence of office building operating characteristics on carbon emissions in cold regions. By utilizing DesignBuilder v7.0.0.096 to conduct numerical simulations of 10 different operating conditions for heating, ventilation and air-conditioning (HVAC) and lighting systems, this study solves the problems in the past of poor comfort and high energy consumption with manual management and achieves a win-win situation for health and environmental protection. The study shows that by implementing a mixed mode of mechanical ventilation and natural ventilation based on outdoor climate conditions and design requirements, unsatisfied hours can be reduced by 202 h compared to the traditional air condition heating operation mode for both winter and summer seasons. Furthermore, compared to a year-round HVAC operation mode, the air-conditioning energy consumption can be reduced by 19%, resulting in a carbon emissions reduction of 1.45 kg CO2/(m2·a). Additionally, for every 2 °C increase in the outdoor temperature, the cooling energy consumption decreases by 2–5%. In terms of lighting, the intelligent lighting mode can reduce energy consumption by 31.04%, leading to a carbon emissions reduction of 3.04 kg CO2/(m2·a). The coupling operation characteristics of mixed mode, intelligent lighting, and energy-saving lamps can achieve a maximum saving of 83.46 MWh of electricity and approximately CNY 72,000 every year, with a static payback period of approximately 2.7 years. This operational strategy, which fully considers the utilization of natural ventilation and daylighting in conjunction with traditional design approaches, improves indoor air quality and ventilation conditions, while also maximizing the energy-saving and carbon reduction potential. The study results provide valuable design and operational guidance for new and existing office buildings in cold regions, to effectively reduce carbon emissions, while offering significant investment returns.

Implementation of Energy-Saving Lamp With Automatic System Using LDR SENSOR (Light Dependent Resistor) Combination at Village Guard Posts and Mosques in Probolinggo

This study presents the design of an energy-saving lamp with an automatic system using LDR (Light Dependent Resistor) sensors. The LDR sensor acts as a light regulator based on its resistance value, influenced by the received light intensity. The sensor activates when there is a slight increase in the received light. This sensor is used in combination with lamps to enable automatic operation, relying on sunlight as an essential aspect. The sensor-controlled lamps remain off during the day and turn on automatically at night due to reduced sunlight. The installation of these sensor-based lamps is implemented in guard posts within residential areas and mushollah to significantly contribute to efficient illumination in the surrounding areas. The benefits of these sensor-based lamps alleviate the need for manual activation by the guards as the lamps function automatically with the integrated sensor system.

Microwave assisted synthesis of ZnO-TiO2 and its visible light catalytic denitrification activity

Comparing the composite TiO2 prepared by hydrothermal sol gel method and microwave-assisted sol gel method, the microwave-assisted sol gel method with shorter time and better crystallinity was finally used to prepare ZnO-TiO2 materials with different composite ratios. The specific surface area, pore volume and pore size of ZnO-TiO2 composite are significantly larger than those of TiO2. The surface acidity of ZnO-TiO2 composite is stronger. The band structure is conducive to the efficient separation of electrons and holes, and the catalytic reduction activity and selectivity are stronger. The best composite ratio of ZnO and TiO2 is optimized to be 0.2 through photocatalytic denitration experiments. For NOx with an initial concentration of 6.83 mg/m3, under the light source condition irradiated by 65 W energy-saving lamp, the visible photocatalytic removal efficiency is as high as 85%. When the NOx concentration is increased to 13.67 mg/m3 and the ammonia nitrogen ratio is 1:1, the denitration efficiency is as high as 96%, which is 43% higher than that of pure TiO2. According to mechanism analysis, the whole reaction can be divided into adsorption and photocatalysis. Adsorption is the speed control step of the reaction. NO is oxidized to NO2 under the action of adsorbed oxygen, and photogenerated electrons can further reduce NO2 to N2. After NH3 is introduced, NH3 and photogenerated electrons work together to improve NOx removal efficiency.

Energy-saving street lamp system based on wireless sensor network

The purpose of this paper is to design a smart street lamp controscheme that uses wireless sensor networks to meet the needs of smartcity construction and to create energy-saving street lamps. First, the traditional neural network algorithm is enhanced to make it simple to dynamically adjust the brightness of the lamp node with ambient light. Secondly, the wireless sensor network technology based on Zigbee communication and the LabVIEW host computer program were combined to create the intelligent street lamp system. Finally, the software and hardware tests were carried out to realize the dynamic adjustment, remote control and data transmission of street lights. The results show that the lamps controlled by neural network can flexibly adjust the light intensity according to the ambient lighting and traffic flow. This method enables intelligent adjustment and energy saving.

Roughness classification detection of Swin-Transformer model based on the multi-angle and convertible image environment

ABSTRACT Current machine vision methods for surface measurement rely excessively on feature design to quantify surface morphology and build predictive models, but metric design suffers from human intervention, and data acquisition is heavily dependent on light source environment and shooting angle. This paper uses the Swin-Transformer model to evaluate and classify roughness directly on colour images of milled samples acquired in a convertible image environment. The images used in the experiment are taken in a completely dark environment and in an environment disturbed by light sources, such as LED energy-saving lamps during the day. By using two kinds of lenses and combining custom light sources and ordinary light sources, respectively, and for different angles, it deeply simulates the environment of online inspection of industrial production. The roughness classification results prove that the method has very good robustness to light source environment and shooting angle, avoiding the artificial design and extraction of image features. The accuracy of the validation set of samples can reach 98.94%, while the accuracy of the test set can reach 97.54%. To wrap it up, the method provides an optimised strategy for visual roughness measurement in industrial production.

Analisa Audit Energi Listrik di PT. Ispat Bukit Baja Kota Bekasi

PT. Ispat Bukit Baja is a company engaged in the steel production industry. Every component production uses electricalenergy as the main source. With the main load of lighting, air conditioning, and electric motors, the use of electricity in this company is verylarge and important. An audit energy needs to be carried out because the value of Energy Consumption Intensity in 2020 is 251 kWh / m2/ year and in 2021 it is 221 kWh / m2 / year and the value of Specific Energy Consumption in 2020 is 0.26 GJ / Ton and in 2021 is 0.29GJ/Ton. The energy audit method used is to calculate the value of Energy Consumption Intensity and Specific Energy Consumption. Thesavings opportunities made are on the air conditioning system, lighting system, and electric motor load. From the results of the analysisand calculation of savings in the air conditioning system, savings of 50.1% or 67.70 kWatt were obtained using a psychrometric diagramto determine the cooling system according to the needs of the room, then for the lighting system, savings of 21.9% or 6 kWatt by replacingthe installed lighting system with energy-saving lamps, then the load of the electric motor is using capacitor to improve the power factorvalue which was originally 0.77 to 0.85 with the aim that the motor speed does not change which will result in the precision of the productionobtained savings in the use of apparent power of 7.13% or 126.52 kVA. So that the results of the apparent power savings can be used forbackup. The total recommended power saving obtained from the calculation results is 73.7 kWatt. So based on the calculation of the energyaudit that has been done, it can reduce production costs and energy use efficiency

Rationale for Parameters of Energy-Saving Illumination inside Agricultural Premises and Method of Its Values Calculation

High-quality lighting of premises in the cultivation of farm animals is an important condition for the successful development of the agro-industrial complex. Sufficient lighting with the simulation of sunrise and sunset which increases daylight hours to 15–16 h can raise the level of production by 8–15%. The most innovative, economical and efficient light source for livestock, poultry and greenhouse buildings are LED lamps allowing for a short payback period. The difference between the models developed by the authors and the traditional point method is taking into account lamp length o, lamp suspension height, location of the illuminated area under the lamp at displacement and observation angles, and luminous flux of light source, and the most important thing is body angle of the light source. This paper presents the method for calculating illumination under the LED lamp due to the large error in the values obtained by theoretical methods due to the lack of a correction factor for changing the illumination of the lamp (0.8). Prediction of crystal heating was carried out by verification calculation in the ANSYS/CFX software package. Forecasting the illumination of the fodder table was carried out by calculation in the DIALux evo software package. The main parameters of an energy-saving LED lamp (power consumption, luminous flux, color temperature and color) were selected. The consumption of electrical energy decreased by 85%; the average level of illumination increased and amounted to 123.1 lux. The developed method for calculating the illumination under the LED lamp can be considered satisfactory, the Student and Fisher criteria do not exceed tabular values and the correlation coefficient showed a close relationship. To comply with electrical safety standards in the premises, a resonant power supply system for LED lamps is offered.

Analysis of the impact of non-sinusoidal voltage levels in the power grid of apartment buildings on the reliability and efficiency of transformers

The effects of mass implementation of energy-saving lighting on the permissible level of loading of the supply transformer were analyzed. The influence of non-sinusoidal voltages and currents on transformer wear was analyzed. Distortions of sinusoidal shape of voltages and currents lead to additional power losses in transformer. They cause heating of the insulation and windings of the transformer, increased losses and accelerated wear and tear. Higher harmonic components of voltage and current in a 0.4 kV network are caused by the presence of various energy-saving lighting lamps with non-linear volt-ampere characteristic, which include compact fluorescent and LED light sources. As a result, the transformer designed to operate at a frequency of 50 Hz experiences an additional adverse effect in the form of power losses and accelerated wear of electrical insulation, which leads not only to the deterioration of its technical and economic performance characteristics, but also to a significant decrease in reliability associated with the influence of higher harmonic components of voltage and current on equipment failure. It is shown that the lack of power factor correction schemes for low-power compact fluorescent and LED lamps causes the growth of nonsinusoidal voltage and current as they spread, which in turn causes the need to adjust the limit load of transformers to ensure their rated thermal mode. One way to maintain operational reliability under such conditions is to limit the transformer load depending on the level of higher harmonics in the network, as well as to predict the residual life of the operating transformer. Measuring the values of current transformer load and current levels of higher harmonic components of voltage and current will allow not only to calculate an acceptable load factor of the transformer (for the condition of insulation wear), but also to estimate the current residual life of transformer equipment using a neural network model.

Analysis of the Application of Green Building Concepts in Educational Buildings Case Study: Building B, Faculty of Biology UGM Yogyakarta

Abstract. The building sector is one of the world's largest energy consumers. This problem is further exacerbated by our dependence on non-renewable energy sources. More than 90% of the world's energy comes from fossil energy including oil, natural gas and coal whose availability in nature continues to decrease because they cannot be renewed. Green design is a reaction to the global environmental crisis. Green design which also leads to eco design, or design for environment is the art of designing physical objects and the surrounding environment to balance sustainable principles with economic, social, and ecological aspects. As a construction actor, you are required to be able to produce a building design that does not require too much energy consumption and also of course considers the comfort of the occupants in it. In an effort to develop the campus, Universitas Gadjah Mada seeks to make the UGM campus a Green Campus. One of the buildings at UGM and the first building at UGM to be certified as a green building by the Green Building Council Indonesia (GBCI), namely Building B, Faculty of Biology UGM with 43% energy savings points, 30% water and 65% efforts to utilize local materials . From the Energy sector, this building applies a small percentage of window/glass openings, uses reflective paint so as to minimize heat that will be transmitted into the building, external shading devices (shading), applies insulation on the roof, a variable refrigerant type HVAC system (VRF). ) with a high COP so that it can save more energy and use artificial lighting / energy-saving lamps. From the water sector, using a toilet fixture with a low flow so that it can save water. Meanwhile, the use of materials includes the use of clay tiles, hebel walls and other materials that are local products.

Karakteristik Lampu Hemat Energi Ditinjau dari Pengaruh Suplai Tegangan Listrik


 
 
 
 The circulation of Energy Saving Lamps or Self-Based Lamps in Indonesia, which promises the shape of lamps, variations in lamp power, lamp life, comparison of offered lamp brightness, low power absorption with brighter light, has caused many people to switch from using tube lamps and incandescent lamps to other types of lamps. this lamp. Indonesian Government regulation that requires LHE lamp manufacturers to include the Indonesian National Standard label as proof that the lamp is within the specified Efficacy limit. General Regulation of Electrical Installation and PT. PLN urges its consumers that electricity users can maintain the load power factor of not less than 0.8. This study aims to determine the amount of current consumption and electrical power required by LHE lamps labeled with SNI from the Panasonic, Shinyoku and ACR brands which were obtained randomly in the market. 10 lamps 18 watts, 220 volts as a sample, given a variation of the supply voltage between 110 volts to 240 volts with 10 volt steps. The results showed that the average real power at a voltage of 220 volts was in accordance with the labels on all brands. All three lamp brands have a power factor below 0.5. Characteristics of voltage to real power for Panasonic LHE obtained y = -0.0226x2 + 8.889x - 673.88, LHE Shinyoku y = -0.0002x2 + 0.3184x + 109.22, and LHE ACR y = -0.0003x2 + 0.2852x + 120.91
 
 
 

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things

Due to the fast, dynamic, and continuous arrival of data streams in the green Internet of Things (IoT) environment, the probability distribution of data streams changes over time. In real IoT scenarios such as unmanned aerial vehicle (UAV) detection and smart light switch control, data distribution changes have reduced the trained model’s accuracy for data streams problems classification, making it challenging to detect UAV intruders and predict whether energy-saving lamps in smart buildings are on or off. In this paper, an incremental ensemble classification method is proposed to improve prediction accuracy for green IoT. Specifically, a fuzzy rule-based classifier is combined with a dynamic weighting algorithm for improving classification accuracy. Moreover, the model is updated by incrementally learning the characteristics of data streams, which can effectively handle concept drift caused by data distribution changes in data streams. Experimental evaluations of UAV intrusion detection, smart buildings, and other datasets show that the proposed approach yields 2% higher area under the curve (AUC) and geometric mean (G-mean) than existing methods on UAV Detection and Occupancy datasets and 5% higher AUC and G-mean on five benchmarking datasets. For all datasets, the proposed approach yields 50% faster average training time than other methods.

Study of harmonic distortion from variable speed drive and energy saving lamps

The power <span>electronic component has been widely used in the current industrial era. It has been considered more efficient than the previous devices as it saves more space and uses less power. One example of power electronic components is the variable speed drive for speed regulation of electric motors in the industrial world. Another application of power electronic components is to be used in energy-saving lamps. The use of power electronic components in these two loads generates harmonic distortion and reduces network power quality. In this paper, the authors analyzed the harmonics in both loads. As a result, the total harmonic distortion (THD) current for four energy-saving lamps is 88.3%. Meanwhile, the THD current at the 50 Hz, 5 A, and variable speed drive is 46.2%. After mixing the two loads, the THD current decreases by around 35%.</span>

Life cycle assessment for carbon emission impact analysis for the renovation of old residential areas

Urban residential buildings are the prime contributors to carbon emissions, whose reduction is significantly affected by old residential areas as essential components of urban renewal. In current studies on the potential for carbon reduction in residential localities, the measurement standard mostly used is the amount of carbon reduced during operations because of the energy-saving renovation of building monomers. This study conducted a life cycle assessment for the carbon emission impact analysis of the renovation of old residential areas, with a comprehensive consideration of carbon emissions at the materialization, demolition, and use stages of the renovation process. Five systems in these areas were evaluated: landscape greening, building monomers, water resources, solid waste, and infrastructure. An actual residential renovation case was used as a reference in comparing the life cycle carbon reduction effects of different technical measures. The results showed that carbon reduction effects are overestimated by 5.54% (from 29.59% to 35.13%) when embodied carbon is disregarded. Among the renovation measures, adding green spaces, recycling garbage, and replacing energy-saving lamps in public areas offer short carbon payback, whereas the addition of rooftop solar photovoltaic panels is the most efficient carbon-reduction measure. This study completes and expands the scope of accounting for residential renovation from spatial and temporal scales. It can also guide the low-carbon renovation of old residential areas to help cities save energy and reduce emissions.

Assessment of operational carbon emission reduction of energy conservation measures for commercial buildings: Model development

Using energy conservation measures (ECMs) for building retrofit can significantly reduce building operational carbon emissions (BOCEs) and contribute to Chinese carbon neutrality by 2060. This paper involves 11 feasible ECMs for commercial buildings in hot-summer and cold-winter zone, China, and proposes a quick assessment approach to BOCEs reduction. Prototypical models are simulated for ECMs using EnergyPlus and the emission intensity is corrected by the building shape factor and window-to-wall ratio. Based on pre-simulated results, effects on reducing emissions of individual measures and packages of them are studied to develop regression models in SPSS. The results show that decreasing the U-factor of external walls, lighting power density (LPD), or shading coefficient can reduce BOCEs linearly. BOCEs are most sensitive to LPD and using daylighting control can reduce emissions by 5–15%. In addition, increasing the boilers’ efficiency reduces emissions linearly, while performance improvement of chillers or heat pumps reduces emissions logarithmically. Furthermore, utilizing variable speed pumps, heat recovery ventilation, and air-side economizers can reduce emissions by 3.8%, 6.6%, and 15.2%, respectively. Finally, significant interactions exist among measures of enhancing glazing U-factor, adding external shading, using energy-saving lamps, and improving cooling/heating system efficiencies. The developed regression models are validated in a retrofit case in Shanghai. Through assessment, the case can reduce BOCEs by 15.9 kgCO2/m2, with a reduction rate of 20.8%. Compared with recorded data, the relative error of assessing emission reduction is −13.0% and that of assessing reduction rate is 0.5%, which are acceptable in the decision-making stage of retrofit strategies.