12 research outputs found

    Optimizing photovoltaic arrays : A tested dataset of newly manufactured PV modules for data-driven analysis and algorithm development

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    This data article presents a comprehensive dataset comprising experimentally tested characteristics of newly manufactured photovoltaic (PV) modules, which have been collected by using a commercial PV testing system from a solar panel manufacturer company. The PV testing system includes an artificial sunlight simulator to generate input light for the PV and the outputs of the PV are tested by a professional IV tracer in a darkroom environment maintaining IEC60904–9 standard. The dataset encompasses modules with power ratings of 10 W, 85 W, and 247 W, each represented by 40 individual module records. The tested and collected characteristics of each module include open circuit voltage, short circuit current, maximum power point voltage, maximum power point current, maximum power point power, and fill factor. The motivation for this dataset lies in addressing the challenges posed by manufacturing defects and a ± 5 % manufacturing tolerance, which can lead to mismatch power losses in newly installed PV arrays. These losses result in lower current in series strings and lower voltage in parallel branches, ultimately decreasing the array's output power. The dataset serves as a valuable resource for academic research, particularly in the domain of PV array optimization. To facilitate optimization efforts, different algorithms have been explored in the literature. This dataset supports the exploration of these optimization algorithms to find solutions that enhance the position of each module within the array, consequently increasing the overall output power and efficiency of the PV system. The objective is to mitigate mismatch power losses, which, if unaddressed, can contribute to increased degradation rates and early aging of PV modules. This dataset lays the groundwork for addressing critical PV array performance and efficiency issues. In future research, this dataset can be reused to explore and implement optimization algorithms, to improve the overall output power and lifespan of newly installed PV arrays. The smart solution proposed in [1], utilizing a genetic algorithm-based module arrangement, demonstrates promising results for maximizing PV array output power using this dataset

    Microcontroller Based Single Phase Digital Prepaid Energy Meter for Improved Metering and Billing System

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    This paper presents a single phase digital prepaid energy meter based on two microcontrollers and a single phase energy meter IC. This digital prepaid energy meter does not have any rotating parts. The energy consumption is calculated using the output pulses of the energy meter chip and the internal counter of microcontroller (ATmega32). A microcontroller (ATtiny13) is used as a smart card and the numbers of units recharged by the consumers are written in it. A relay system has been used which either isolates or establishes the connection between the electrical load and energy meter through the supply mains depending upon the units present in the smart card.Energy consumption (kWh), maximum demand (kW), total unit recharged (kWh) and rest of the units (kWh) are stored in the ATmega32 to ensure the accurate measurement even in the event of an electrical power outage that can be easily read from a 20×4 LCD. As soon as the supply is restored, energy meter restarts with the stored values. A single phase prepaid energy meter prototype has been implemented to provide measurement up to 40A load current and 230V line to neutral voltage.Necessary program for microcontrollers are written in c-language and compiled by Win-AVR libc compiler.DOI: http://dx.doi.org/10.11591/ijpeds.v1i2.138

    Conversion of Bangla sentence for universal networking language

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    Conversion from Bangla language to another native language using Universal Networking Language (UNL) is highly demanding due to increasing the usage of Internet based application. Since Bangla case structure plays a fundamental role in Bangla grammartical structures, this paper presents some rules for Bangla case structures that will be used to convert Bangla sentence to UNL expression. The theoretical analysis shows that the defined rules can be used successful conversion of Bangla sentence. ©2010 IEEE.Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010, 23-25 Dec, 201

    Frequency and risk factors stratification of hypertension among the rural population of Bangladesh

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    Background and Objectives: Hypertension is one of the major risk factors of premature morbidity and mortality in our daily clinical practice. Various studies carried out in the urban settings, but there is scarcity of epidemiological data regarding hypertension among the rural people in Bangladesh. Therefore, this current study has been designed to find out the frequency and risk factors stratification of hypertension among the rural people in Jashore, Bangladesh. Materials and Methods: A cross-sectional study recruited 1812 participants above 18 years attending on national hypertensive week of 2019 in Bagherpara and Keshabpur upazila (subdistrict) health complex in Jashore, Bangladesh. 2020 International Society of Hypertension Global Hypertension Practice Guidelines had been demonstrated to classify hypertension. Results: Out of the total study population, the frequency of hypertension was 20.6% (Grade 1 and Grade 2 hypertensive patients 15.8% and 4.9%, respectively), and high normal blood pressure was 9.0%. The mean age of the study population, Grade 1 hypertensive and Grade 2 hypertensive cohorts were 42 ± 16, 49 ± 15 and 51 ± 14 years, respectively, with a male and female ratio was 1:2. Progressive rise of mean systolic and diastolic blood pressure were noticed with increasing age. Age (P: <0.001), sex (P: 0.004), occupation (P: <0.001), BMI (P: <0.001), family (P: <0.001) and past history (P: <0.001) of hypertension, sedentary life style (P: 0.004), additional salt intake (P: <0.001) and smoking (P: 0.011) were significantly associated with hypertension following bivariate analysis. Multivariate logistic regression analysis revealed that age after 50 years (AOR = 1.866, 95% CI: 1.210-2.876), positive past history of hypertension (AOR = 3.493, 95% CI: 2.676-4.558), additional salt intake (AOR = 0.591, 95% CI: 0.453-0.770) and obesity (AOR = 3.389, 95% CI: 1.830-6.274) were significantly associated with developing hypertension. Conclusion: High frequency of hypertension was found among the rural population in Bangladesh where presence with a lot of significantly associated risk factors. The data would be helpful for the health policymakers dealing noncommunicable diseases to reach the sustainable goal and mitigate morbidity and mortality of cardiovascular diseases in Bangladesh

    A Novel Multiplex RT-PCR Assay for Simultaneous Detection of Dengue and Chikungunya Viruses

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    The goal of the study was to develop a specific, sensitive, and cost-effective molecular RT-PCR diagnostic assay for the rapid and simultaneous detection of the serotypes of dengue virus (DENV) and Chikungunya virus (CHIKV) from sera of suspected febrile patients. A single-tube, single-step multiplex RT-PCR (mRT-PCR) assay was designed for the detection of viral genomes from clinical and field samples. Specificity and sensitivity of the mRT-PCR assay were evaluated against six different combinations using two reverse transcriptases (AMV-RT and RT-Ace) and three DNA polymerases (LA-Taq, rTaq, and Tth). Among the six combinations, the AMV-RT and LA-Taq combination was more specific and sensitive than other enzyme combinations for detecting viral genomes of DENV-1, DENV-2, DENV-3, and DENV-4 (p &lt; 0.01), and for detecting viral genomes of CHIKV (p &lt; 0.05). The detection limits of the mRT-PCR were 10 focus forming units (FFU) for CHIKV and 1 FFU, 20 FFU, 0.1 FFU, and 10 FFU for DENV-1, DENV-2, DENV-3, and DENV-4, respectively. The primers used for the mRT-PCR did not show any cross-reactivity among the serotypes of DENV or CHIKV. Specificity and sensitivity of the newly developed mRT-PCR were validated using serum samples collected from febrile patients during dengue outbreaks in Bangladesh. The sensitivity for serotype detection of DENV and CHIKV was superior to the virus isolation method and the antigen detection method using the Dengue NS1-Ag assay. This novel mRT-PCR method can be used for molecular epidemiological surveillance of DENV and CHIKV in epidemic and endemic countries

    Recent Advancement in Solar-Driven Interfacial Steam Generation for Desalination: A State-of-the-Art Review

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    Solar energy is one of the most efficient origins of energy for a wide range of environmentally beneficial purposes. Water desalination by steam generation with the help of solar energy is not only an economical and straightforward approach, but it also utilizes free energy sources to solve the problem of increasing freshwater scarcity. Solar water evaporation is an essential component of the low-energy method for generating fresh water, which is required for economic development and human health. Freshwater productivity determines how effectively the system captures incoming solar energy and transforms it into usable heat. Effective water distillation has recently gained a lot of attention. The photothermal conversion process is built on the performance of the evaporator. This review thoroughly examines the most recent developments in photothermal materials, structure design, and engineering strategies, including design principles for highly efficient photothermal conversion, thermal management, water transport phenomena, salt rejection behavior, and improved evaporation rate. The prospective applications of this technique in saline water desalination, waste water purification, and energy generation are highlighted. Furthermore, the most recent scientific advancements are utilized to demonstrate the potential, prospects, and challenges of solar-driven evaporation in energy conversion
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