Effective Power Research Articles

The Possible Association of IL-6R Gene Polymorphisms in the Development of Diabetic Nephropathy.

Diabetic nephropathy (DN) is a common complication of type 2 diabetes (T2D). Chronic inflammation and a combination of environmental and genetic factors are involved in the pathogenesis and development of DN. This case-control study aimed to determine the relationship between rs7529229 and rs2228145 polymorphisms of the IL-6R gene with the incidence of nephropathy among T2D patients. Fifty-six diabetic patients with nephropathy and 57 T2D patients without nephropathy were included based on inclusion criteria, along with 150 healthy individuals. The frequencies of AC and CC genotype distributions of the rs2228145 polymorphism in DN patients were significantly higher than in healthy individuals (24.1 and 9.3% versus 10.7 and 6.7%, respectively, P= 0.02). Moreover, the frequency of allele C was higher in DN patients compared to healthy controls (21.30% versus 12%, P=0.025). However, genotype distribution and allele frequencies of the rs7529229 IL-6R polymorphism in DN patients were not statistically significant in comparison with diabetic patients and healthy individuals (P> 0.05). The results showed that the allele and genotype distribution frequencies of rs2228145 IL-6R gene polymorphism in patients with DN were significantly higher than in healthy individuals. Therefore, the presence of this polymorphism may be involved in the development of diabetic nephropathy in this population.

Multi-Objective Sensitivity Analysis of a Wind Turbine Equipped with a Pumped Hydro Storage System Using a Reversible Hydraulic Machine

A typical wind system captures wind energy and converts it into electricity, which is then converted to DC for battery storage using an AC/DC converter; an inverter then supplies AC electricity at the grid frequency. However, this solution involves losses in electronic components and incurs costs and environmental impacts associated with battery storage. To address these issues, a different wind system layout configuration is considered, where the energy storage duties are assumed by a hydro storage system employing a reversible hydraulic pump (referred to as a Pump as Turbine). This solution utilises an elevated reservoir connected to the Pump as Turbine to compensate for fluctuations in wind and load; this approach offers lower costs, a longer lifespan, reduced maintenance, and a smaller waste management cost. This study focuses on a comprehensive sensitivity analysis of the new wind system power layout, considering multiple objectives. Specifically, the analysis targets the net change in the mass of water (potential energy) stored in the pumped hydro system, the captured wind energy, and the torque provided in hydraulic turbine mode. On the other hand, the design variables are represented by the Pump as Turbine-specific speed, the hydraulic system gearbox ratio, and the pump head. To assess how solutions are affected by random changes in wind speed and external load, the sensitivity analysis considers the multi-objective optimisation problem showing for both the wind speed and the external load a stochastic contribution.

SLAPE solar panels: a possible solution for the future energy problems of our society

Today, the silicon photovoltaic cell (SPVC) solar panels are being deployed across the globe by all most all the governments to generate renewable carbon neutral electricity to use in place of the one generated at thermal power plants by burning fossil fuels. These SPVC solar panels generate electricity with less than 20% efficiency, and heat energy with more than 30% efficiency. This 10% excess heat energy released into the atmosphere can cause a very severe damage to the environment and ecology as it is million times higher than the one caused by the equivalent CO2 gas in the atmosphere with a concentration of about 421 ppm. To avoid the harmful and danger effects of heat energy released by these SPVC solar panels into the atmosphere, either they have to be stopped using or the heat generated by them has to be trapped to use for the beneficial purposes of the society or any other alternate safe solar panels have to be developed. In this study, for the first time, the SLAPE (Semiconductor and Liquid Assisted Photothermal Effect) solar panels are introduced to generate electricity from sunlight. In these new solar panels, a semiconducting material along with a stable organic solvent is employed to capture the sunlight reaching the earth surface and to convert it into the heat energy. This in situ generated heat energy is then converted into a rotational mechanical energy with the help of an heat engine, and then into electricity with the help of suitable electric generator. To establish the Proof of Concept (poc), in this study, SPV cells as semiconducting material and γ-butyrolactone were employed to fabricate a one square meter area SLAPE solar panel and generated about 17 V AC electricity with the help of a custom manufactured reciprocally moved steam engine (RMSE) and an electric generator. Thus obtained results are presented and discussed along this article.

Experimental Study on a Photovoltaic Direct-Drive and Municipal Electricity-Coupled Electric Heating System for a Low-Energy Building in Changchun, China

This paper takes a low-energy building in Changchun, China, as an object to test and study the characteristics of two heating modes, AC/DC (Alternative current/Direct current) switching and AC/DC synthesis, from the perspectives of temperature change, irradiation intensity, power generation, electricity consumption, etc. Firstly, the experimental research was conducted under two heating cable modes by establishing mathematical models and a test rig, and it was found that the photoelectric conversion efficiency on sunny, cloudy, and overcast days was 18%, 14.5%, and 12%, respectively. A simulation model was established by TRNSYS to run an ultra-low-energy building throughout the year. It was found that the highest and lowest monthly power generation occurred in February and July, respectively. The annual power generation of the system was 6614 kWh, and the heating season power generation was 3293.42 kWh. In the current research, the DC electricity consumption was slightly higher than the AC electricity consumption. Under conditions of similar radiation intensity and power generation, the indoor temperature of the AC/DC synthesis cable heating mode were 1.38% higher than the AC/DC switching heating able mode, and the electricity consumption were 10.9% and 4.76% higher, respectively, than those of the AC switching heating cable mode. This is of great significance for clean-energy heating, energy savings, and emissions reduction in northern China.

DESIGNING OF DC GRID SOLAR-WIND HYBRID POWER GENERATION SYSTEM

Our project's main goal is to create a prototype hybrid renewable energy system that mixes solar and wind power. The system's goal is to directly feed energy from the turbine and solar panels into the DC grid. An inverter is also integrated to provide AC power. Our strategy emphasizes efficiency and simplicity by acquiring both AC and DC electricity from the project. Utilizing the complementing qualities of solar and wind energy, we want to develop a dependable and sustainable power generation system. We hope to show that combining renewable energy sources and maximizing energy output for both AC and DC applications is feasible with this creative design. Key Words: Dc grid, solar power generation, wind power generation, batteries, hybrid power generation

Line balancing of aircraft IDG part maintenance process line balance using line balancing and promodel

Aircraft have thousands of components that must be maintained to remain functional. Components on aircraft have a high enough price that maintenance is required. The power source on an airplane can be divided into 2 types, namely AC and DC. One source of AC electricity is the Integrated Drive Generator (IDG) which is one of the important components of an aircraft that functions as a generator of electricity. If IDG experiences a problem, it will disrupt aircraft operations. For this purpose, IDG must receive good care with effective services. The processing time for maintenance services takes 42.8 hours for one IDG part unit. This study aims to balance the trajectory. The IDG part maintenance process is carried out by Pro-model simulation. The results of the IDG maintenance simulation are the maintenance time in operation (Average time in Operation) which is 42.61 hours and the IDG parts handled are 11 IDG parts. The results of this simulation scenario can estimate the possible number of IDG parts that will occur annually and can estimate the total service capacity that handles the planned number of incoming entities. The best scenario results when the capacity of 1 service group per unit will result in the number of IDG maintenance services of 11 units per year, by increasing the service capacity to 2 service groups per unit will result in the number of IDG maintenance services of 23 units per year. And by increasing the service capacity to 4 service groups per unit, the number of maintenance services will be 46 units per year.

Association between the rs1036819 polymorphism of the ZFAT gene and pelvic organ prolapse: a case-control study.

The identification of risk factors for pelvic organ prolapse (POP) would contribute to planning prevention strategies. This study tests the hypothesis that the rs1036819 polymorphism in the ZFAT gene is associated with POP and investigates other risk factors for prolapse development. A case-control study was carried out including 826 postmenopausal women divided into POP cases (stages III and IV) and controls (stages 0 and I), assessed by anamnesis, examination, and peripheral blood samples. DNA was extracted from blood and genotyped by real-time RT-PCR. We used logistic regression models for the association analyses of variables, with p < 0.05 for significance. Five hundred and sixty-eight women were evaluated (315 POP and 253 controls). The minor allele C was found in 19.3% of our sample and the genotype frequencies of AA, AC, and CC were similar in both groups. Age (OR 1.09, 95% CI 1.06-1.13), number of pregnancies (OR 1.23, 95% CI 1.08-1.41), history of one vaginal delivery (OR 3.39, 95% CI 1.38-8.33) or two or more (OR 2.51, 95% CI 1.04-6.07), weight of the largest newborn (OR 1.0001, 95% CI 1-1.001), and family history of POP (OR 2.27, 95% CI 1.24-4.13) were independent risk factors for POP, whereas one cesarean section (OR 0.48, 95% CI 0.27-0.88) or two or more (OR 0.14, 95% CI 0.05-0.38) were protective. No association was detected between the rs1036819 polymorphism of the ZFAT gene and advanced POP. Age, number of pregnancies, at least one vaginal delivery, weight of the newborn, and POP family history were independent risk factors for POP.

Experimental Investigation of Direct Solar Photovoltaics that Drives Absorption Refrigeration System

Renewable energy used for refrigeration applications has become essential very recently due to the fossil fuel crisis and the global warming problem. Moreover, using photovoltaic PV to generate electricity than using inverters and energy storage represents a high-cost process. This study aims to investigate the opportunity of using PV output directly to operate a refrigeration system. The absorption refrigeration system uses heat as an energy source for the generator that drives the system. Moreover, the absorption refrigeration system doesn't have a compressor but a generator. As a result, the novel aspect of this study is the use of PV electricity's DC output to power the heater that provides the needed heat for the generator without the use of an inverter that provides AC electricity. The essential very difference here is that the compressor needs a consistent and steady electric supply. However, using DC electricity for heating is not very restricted if the voltage fluctuates a bit. A 580 W PV was used to power a refrigerator with a capacity of 70 liters. During several tests, the freezer of the fridge reached -26 C and the cabin temperature was around 10 C. This finding was similar to the performance of this fridge on a conventional heater.

A Modeling Toolkit for Comparing AC and DC Electrical Distribution Efficiency in Buildings

Recently, there has been considerable research interest in the potential for DC distribution systems in buildings instead of the traditional AC distribution systems. Due to the need for performing power conversions between DC and AC electricity, DC distribution may provide electrical efficiency advantages in some systems. To support comparative evaluations of AC-only, DC-only, and hybrid AC/DC distribution systems in buildings, a new modeling toolkit called the Building Electrical Efficiency Analysis Model (BEEAM) was developed and is described in this paper. To account for harmonics in currents or voltages arising from nonlinear devices, the toolkit implements harmonic power flow, along with nonlinear device behavioral descriptions derived from empirical measurements. This paper describes the framework, network equations, device representations, and an implementation of the toolkit in an open source software package, including a component library and graphical interface for creating circuits. Simulations of electrical behavior and device and system efficiencies using the toolkit are compared with experimental measurements of a small office environment in a variety of operating and load configurations. A detailed analysis of uncertainty estimation is also provided. Key findings were that a comparison of predicted versus measured efficiencies and power losses in the validation testbed using the initial toolkit implementation predicted device- and system-level efficiencies with reasonably good accuracy under both balanced and unbalanced AC scenarios. An uncertainty analysis also revealed that the maximum estimated error for system efficiency across all scenarios was 3%, and measured and modeled system efficiency agreed within the experimental uncertainty in approximately half of the scenarios. Based on the correspondence between simulation and measurement, the toolkit is proposed by the authors as a potentially useful tool for comparing efficiency in AC, DC, and hybrid AC/DC distribution systems in buildings.

On the adoption of stricter energy efficiency standards for residential air conditioners: Case study Guayaquil, Ecuador

Space cooling is the fastest-growing energy end-use in buildings worldwide, and Ecuador is no exception. Nevertheless, the last update of the Minimum Energy Performance Standards (MEPS) for air conditioners was in 2013 (EER 3.2W/W); since then, no new standards have been proposed in Ecuador. This study is the first assessment of stricter MEPS and estimation of benefits for the consumers and society of the residential sector in Guayaquil, Ecuador. The life cycle cost, payback time, net present value, electricity savings, and CO2 mitigation are the outputs from the Policy Analysis Modeling System (PAMS) methodology followed. The analysis considers future economic scenarios until 2035. Also, a new engineering approach based on linear optimization defines ACs designs in compliance with the proposed MEPS at the lowest cost. Therefore we can avoid setting less ambitious energy-efficiency targets when efficiency options are limited in the market (this is the Ecuadorian case). The analyzed MEPS are those proposed by UNEP and by the renewal program of inefficient equipment of the Ecuadorian Government. Our estimates show that AC demand can reach 17.3% of the total residential electricity demand in the business-as-usual scenario and 21.4% in the high economic growth scenario until 2035.Furthermore, the results show a significant gap between the proposed MEPS which can be progressively bridged. The best standard from the consumer perspective is EER 4.3W/W, while from the societal perspective, it is EER 5.5W/W. Stricter MEPS can reduce AC electricity demand and energy-related emissions between 5.7% and 31%, depending on the selected scenario. Therefore, stricter MEPS for AC represents a cost-effective option to reduce energy needs and emissions from air conditioners and a concrete action to support the national energy efficiency policies and nationally determined contributions for the residential sector.

Association of ABCC8 gene variants with response to sulfonylurea in type 2 diabetes mellitus.

Diabetes mellitus (DM) is associated with high blood glucose levels and sulfonylureas (SFUs) are one of the treatment options for DM. SFUs bind to sulfonylurea-1 receptor (SUR1), which is encoded by the ABCC8 gene and leads to blood glucose reduction. Genetic variants like rs757110 and rs1799854 of ABCC8 can influence the response to the drug's efficiency. Therefore, this study aimed to investigate the association between the ABCC8 rs757110 and rs1799854 genetic variants and response to SFUs treatment. Totally, 61 DM patients with SFUs treatment were included. Baseline characteristics of the patients were recorded and 5 ml of blood was taken from each patient. After DNA extraction, a sequence containing rs757110 and rs1799854 was synthesized by the PCR method, and the PCR products were used for Sanger sequencing. Frequencies of GG, GA, and AA genotypes of rs1799854 variant was 12 (40%), 14 (46.7%), and 4 (13.3%), and the frequencies of CC, AC, and AA genotypes for rs757110 variant was 3 (9.7%), 5 (16.1%) and 23 (74.2%) in, respectively. Patients with different genotypes had the same age, BMI (body mass index), initial FBS (Fasting blood sugar), initial HbA1c, treatment duration, gender and history of smoking, alcohol consumption, and exercise. There was no significant difference in FBS and HbA1c changes after SFUs treatment between patients with rs757110 variant (p = 0.39 for FBS and p = 0.76 for HbA1c) and rs1799854 (p = 0.24 for FBS and p = 0.36 for HbA1c). The rs1799854 and rs757110 variants of the ABCC8 gene had no significant influence on response to SFUs treatment.

An Enhanced Piezoelectric-Generated Power Technique for Qi Wireless Charging

This paper aims to design and implement a robust wireless charging system that utilizes affordable materials and the principle of piezoelectricity to generate clean energy to allow the user to store the energy for later use. A wireless charging system that utilizes the piezoelectricity generated as a power source and integrated with Qi-standard wireless transmission would substantially affect the environment and the users. The approach consists of a full-wave-rectified piezoelectric generation, battery storage, Qi-standard wireless transmission, and Bluetooth Low Energy (BLE) as the controller and application monitor. Three main functions are involved in the design of the proposed system: power generation, power storage, and power transmission. A client application is conceived to monitor the transmission and receipt of data. The piezoelectric elements generate the AC electricity from the mechanical movements, which converts the electricity to DC using the full-wave bridge rectifiers. The sensor transmits the data to the application via BLE protocols. The user receives continuous updates regarding the storage level, paired devices, and remaining time for a complete charge. A Qi-standard wireless transmitter transfers the stored electricity to charge the respective devices. The output generates pulses to 60 voltage on each compression of a transducer. The design is based on multiple parallel configurations to solve the issue of charging up to the triggering value VH = 5.2 V when tested with a single piezoelectric transducer. AA-type battery cells are charged in parallel in a series configuration. The system is tested for a number of scenarios. In addition, we simulate the design for 11.11 h for approximately 70,000 joules of input. The system can charge from 5% to 100% and draw from 98%. Using four piezos in the designed module results in an average output voltage of 1.16 V. Increasing the number of piezos results in 17.2 W of power. The system is able to wirelessly transmit and store power with a stable power status after less than 0.01 s.

Deep Meta-Learning With 1D-CNNs for Surface Deterioration Recognition of Overhead Conductors of Electricity Grid

The surface deterioration process of aluminum-stranded conductors in high-voltage alternating current (ac) electricity grids is naturally gradual, dynamic, and slow, which will greatly influence the remaining life of conductors. An effective method for deterioration recognition of conductors is to design an evaluation model with energy-dispersive X-ray spectroscopy (EDS). The small number of labeled samples is commonly available for the deterioration recognition task. The conventionally successful deep learning (DL)-based applications are dependent on large-scale data to train an effective model, which restricts the application of DL in the aging recognition scenario. A deep meta-learning (DML) model with 1-D-convolutional neural networks (1D-CNNs) is proposed for the recognition of deteriorated conductors based on EDS, which learns the representation of each support class by the embedding function. Then, it performs classification tasks by comparing the Euclidean distance between the query sample and this representation. A comprehensive systematic comparison with nonneural network methods, conventional DL, and deep transfer learning shows that the proposed model substantially improves the classification accuracy of aging conductors.

Design of Pico-Hydro Power Plant with Monitoring System Based on Internet of Things

Currently the electrification ratio in Banyumas Regency is around 79%. This means, of the 1.7 million residents of Banyumas Regency, only around 21% have not enjoyed PLN electricity. Those whose homes have not yet had electricity are on average residents who are on the slopes of the mountain slopes, and some residents in several groves in remote areas in Banyumas Regency which are very far from the PLN electricity network. This problem can be overcome by providing electrical energy by utilizing renewable alternative energy, one of which is micro hydro or pico hydro power plants on an individual or residential scale. Therefore, this research designed a simulation of a pico hydro power plant using a Pelton turbine which is expected to be able to provide benefits to the general public, this tool is equipped with remote monitoring using Google Firebase based on the Internet of Things which can be monitored via the Android application for monitoring Voltage, current and power use the INA219 sensor which has been programmed on Arduino Uno and Node MCU ESP8266. This tool uses a 12-24 Volt DC generator, produces DC electricity which is stored in a 12 Volt 5 Ah battery which is then converted using an inverter to become AC electricity. In this test using a 5 Watt AC lamp load, the battery voltage which was initially 12.6 Volts was reduced to 9.9 Volts, the lamp load was able to light up for 1 hour. In measuring the voltage and current, the generator produces an average voltage of 15.9 Volts and a current of 50.2 mA.

ODP505 Polymorphisms of ITM2A rs1751094 on×Chromosome Is Associated with intractable Graves’ disease in Korean Children

Abstract Background Autoimmune thyroid diseases (AITDs) are female predominant and much attention has been focused on integral membrane protein 2A (ITM2A) on the X chromosome as Grave's disease (GD) susceptible locus. Methods We genotyped ITM2A rs1751094 single nucleotide polymorphism (SNP) in 166 patients (142 females and 24 males) diagnosed with AITD (67 HD and 99 GD cases). The mean age (±SD) of GD patients at enrollment was 14.4 ± 3.5 years and HD patients was 13.8 ± 3.5 years. In GD patients, 49 patients (49/99, 49.5%) had thyroid-associated ophthalmopathy (TAO). Among the 85 GD patients, 60 patients (60/85, 70.6%) were intractable GD. The data were analyzed by sex-stratified or combined with 198 healthy Korean individuals (97 females and 101 males). Results Target SNP fits the HWE. In patients with AITD (n = 166), the genotype and allele frequencies of rs1751094 AC (OR=2.5, corrected P (Pc) = 0. 000), C (OR=2. 0, Pc = 0. 000) were higher and those of AA/A (OR=0.3, Pc = 0. 000), A (OR=0.5, Pc = 0. 000) were lower than those in controls (n = 198) (Table 3). In female AITD patients (n = 143), those of rs1751094 CC (OR=2.4, Pc = 0. 031), C (OR=1.8, Pc = 0. 003) were higher and those of rs1751094 AA (OR=0.5, Pc = 0. 027), A (OR=0.6, Pc = 0. 003) were lower than those of female controls (n = 97). In patients with GD (n = 99), rs1751094 CC/C (OR=3.5, Pc = 0. 000) and C (OR=3.4, Pc = 0. 000) were higher those in controls (n = 198). In intractable GD Patients (n = 60), rs1751094 AC (OR=2.2, Pc = 0. 026) and C (OR=2.5, Pc = 0. 000) were higher than those in controls. In GD with TAO (n=49), rs1751094 CC/C (OR=2.9, Pc = 0. 003), C (OR=3.3, Pc = 0. 000) were higher than those in controls. In patients with HT (n = 67), the genotype frequencies of rs1751094 AC (OR=3. 0, Pc = 0. 000) was higher and those of AA/A (OR=0.4, Pc = 0. 002) were lower than those in controls (n = 198). Conclusions Polymorphisms in ITM2A rs1751094 on the X chromosome might be associated with AITD in Korean children. Presentation: No date and time listed

COMPARISON ANALYSIS OF INPUT AND OUTPUT POWER ON INVERTERS OF DIFFERENT TYPES WITH PARARIZED LOADS

The increasing use of electrical energy in homes has resulted in the use of fuel being very depleted, to overcome this problem there must be savings in electrical energy by using an inverter. The inverter is able to convert 12V DC (unidirectional) electricity into 220V 50Hz AC (alternating) electricity. The evaluation of the best inverter and having input and output power efficiency for various types of loads can be seen from the wave output generated. For resistive loads, the average efficiency of the Type A inverter is 38.7%, the Type B inverter has an average of 45.4% and the inductive load on the Type A inverter is 32.8%, for the Type B inverter, it is 81.1 % and the capacitive load on the Type A inverter is 5.3% and the Type B is 62.8%.

Comparative assessment of noise properties for two deep learning CT image reconstruction techniques and filtered back projection

Two deep learning image reconstruction (DLIR) techniques from two different computed tomography (CT) vendors have recently been introduced into clinical practice. To characterize the noise properties of two DLIR techniques with different training methods, using a phantom containing a simple uniform and a complex non-uniform region. A water-bath phantom with a diameter of 300 mm was used as a base phantom. A textured phantom with a diameter of 128 mm, which was made of two materials, one equivalent to water and the other being 12 mg/ml diluted iodine, irregularly mixed to create a complex texture (non-uniform region), was placed in the base phantom. Thirty repeated phantom scans were performed using two CT scanners (Revolution CT with Apex Edition, GE Healthcare; Aquilion One PRISM Edition, Canon Medical Systems) at two dose levels (CT dose index: 5 and 15 mGy). Images were reconstructed with each CT system's filtered back projection (FBP) and DLIR [TrueFidelity (TF), GE Healthcare; Advanced intelligent Clear-IQ Engine Body Sharp (AC), Canon Medical Systems] for three process strengths. For basic characteristics of noise, the standard deviation (SD) and noise power spectrum (NPS) were measured for the uniform (water) region. A noise magnitude map was generated by calculating the inter-image SD at each pixel position across the 30 images. Then, a noise reduction map (NRM), which visualizes the relative differences in noise magnitude between FBP and DLIR, was calculated. The NRM values ranged from 0.0 to 1.0. A low NRM value represents a less aggressive noise reduction. The histograms of the NRM value were analyzed for the uniform and non-uniform regions. The reduction in noise magnitude compared with FBP tended to be greater with AC (45%-85%) than with TF (32%-65%). The average NPS frequencies of TF and AC were almost comparable to those of FBP, except for the low-dose condition and the high noise reduction strength for AC. The NRM values of TF and AC were higher in the uniform region than in the non-uniform region. In the non-uniform region, TF's average NRM values (0.21-0.48) tended to be lower than AC's (0.39-0.78). The histograms for TF showed a small overlap between the uniform and the non-uniform regions; in contrast, those for AC showed a greater overlap. This difference seems to indicate that TF processes the uniform and non-uniform regions more differently than AC does. This study has revealed a distinct difference in characteristics between the two DLIR techniques: TF tends to offer less aggressive noise reduction in non-uniform regions and preserve the original signals, whereas AC tends to prioritize noise filtering over edge-preservation, especially at the low-dose condition and with the high noise reduction strength.

Comparative Analysis of Tubular Permanent Magnet Linear Generator With Equidirectional Toroidal Windings and Conventional Toroidal Windings

Tubular permanent magnet linear generators (TPMLGs) are widely used in direct drive wave energy conversion system due to their simple structure, friendly maintenance, and high efficiency. Unfortunately, the power density of this type of generator is relatively small due to their low operation speed. To improve the power density, a TPMLG with equidirectional toroidal windings (ED-TWs; ED-TPMLG) is proposed in this article. First, the structure of the ED-TPMLG is introduced, and its windings configuration and windings coefficient are analyzed and compared with those of TPMLG with conventional toroidal windings (C-TPMLG). Furthermore, to investigate the performances and the unique advantages of the ED-TPMLG, comparative analysis of the ED-TPMLG and C-TPMLG is conducted based on the similar dimensions. The results indicate that the proposed ED-TPMLG has superiority in detent force and power density than the C-TPMLG. Then, the unstable ac electricity generated by the generators is rectified, which can be transformed to the stable dc electricity for supplying the equipment. Finally, a planar linear generator prototype with the same ED-TWs is manufactured to validate the reasonable of the proposed winding configuration (ED-TWs) and the credible of the above finite element analysis method.

Pave the way for sustainable smart homes: A reliable hybrid AC/DC electricity infrastructure

The development of emerging smart grid technologies has led to more and more penetration of renewable energy resources and electric energy storage in the residential sectors. Besides, owing to the significant evolution of power electronic devices, there is a rapid growth in penetration of DC loads and generations, such as PV and electric vehicles (EVs), into the buildings and homes as a building block of the future smart cities. This is despite the fact that the electricity infrastructure of the conventional buildings is designed based on AC electricity and as a result, there would be a lot of losses due to the frequent power conversion from AC to DC and vice versa. Besides, according to a significant amount of energy consumption in the residential sector, buildings have a prominent role to confront environmental problems and obtain sustainability. In such circumstances, and considering the energy outlook, rethinking the electrification structure of the built environment is necessary. This work is an effort in this regard and looks for a sustainable energy infrastructure for the cyber–physical homes of the future. Three disparate electrification architectures are analyzed. The proposed framework, which is formulated as a mixed-integer linear programming (MILP) problem, not only considers costs associated with investment and operation but also evaluates the reliability of each structure by considering the different ratios of DC loads. Moreover, the optimal size of renewable energy resources and the effect of EV demand response, and different prices of PV and battery are precisely investigated. The efficacy of the proposed approach is evaluated via numerical simulation.

Design and Build Remote Watering System Based on Internet of Things (IoT) (Case Study Of Yogyakarta Code Tourism Park)

The combination of IoT (Internet of Things) technology and solar cell technology can be used to ease human work in everyday life. This research will design and build an Internet of Things (IoT)-based automatic plant sprinkler system by utilizing solar cells as electrical energy. The implementation of this system is carried out at the Code Tourism Park in Cokrodiningratan Village, Jetis District, Yogyakarta City. This research was conducted using the waterfall method with systematic stages. Solar panels have succeeded in producing AC electricity with a voltage of 220V so that it can be used to supply electricity to IoT device controllers. The watering mode consists of an automatic mode with a schedule that can be set from a web-based IoT platform and a remote watering mode via the internet. Both watering modes worked well and successfully watered the plants at the study site. For watering a garden with an area of 197.2 m2, the water consumption required per minute is approximately 20 liters. The coverage of watering plants in the Code Tourism Park is 197.2 m2. At the watering location, 15 sprinkler points are installed, so 1 sprinkler point can cover an area of approximately 13.15 m2.