30 research outputs found

    Making Ideologies through Media Discourse: A Multimodal Critical Analysis of Comedy Talk Shows' Logos

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    The present study makes a multimodal discourse analysis of comedy talk shows' logos of Pakistani TV channels from the perspective of their ideology and meaning of image. To analyze multimodal discourses using social semiotics as a way gives a direction to analyze the multi-layered meaning in a discourse. For this purpose, 4 famous TV programmes' logos were selected. Faiclough' (1995) 3D model has been applied to make multimodal critical analysis of comedy talk shows' logosThe study highlights the ways through which ideologies and power relations are expressed. Results of the study indicate that these logos construct multimodal discourse through particular language and image, and ideally exercise their power and the mainstream ideology of TV channels in Pakistan.</p

    Practice and Innovations in Sustainable Transport

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    The book continues with an experimental analysis conducted to obtain accurate and complete information about electric vehicles in different traffic situations and road conditions. For the experimental analysis in this study, three different electric vehicles from the Edinburgh College leasing program were equipped and tracked to obtain over 50 GPS and energy consumption data for short distance journeys in the Edinburgh area and long-range tests between Edinburgh and Bristol. In the following section, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber’s M-estimation is proposed to accurately estimate state of charge (SOC), which is vital for safe operation and efficient management of lithium-ion batteries. A coupled-inductor DC-DC converter with a high voltage gain is proposed in the following section to match the voltage of a fuel cell stack to a DC link bus. Finally, the book presents a review of the different approaches that have been proposed by various authors to mitigate the impact of electric buses and electric taxis on the future smart grid

    Review on recent trend of solar photovoltaic technology

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    Solar photovoltaic technology is one of the renewable technologies, which has a potential to shape a clean, reliable, scalable and affordable electricity system for the future. This article provides a comprehensive review of solar photovoltaic technology in terms of photovoltaic materials efficiency and globally leading countries. Based on past years review and photovoltaic installations in the year 2014, the major five leading countries identified are China, Japan, USA, Germany and UK. These five countries altogether accounted for 80% of photovoltaic installations in 2014. The article also discusses the driving policies, funding and Research and Development activities: to gauge the reasons behind the success of the leading countries. Finally, this article reviews the photovoltaic cost analysis in terms of the photovoltaic module cost, balance of system cost and project cost with the help of listed 98 globally installed projects

    Ground view factor computation model for bifacial photovoltaic collector field: uniform and non-uniform surfaces

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    The photovoltaic collectors in a field are subject to three types of solar radiation: direct, diffuse, and reflected irradiance. The reflected irradiance received by solar photovoltaic (PV) depends on the view factor from solar PV to the ground. This view factor component is dominant for bifacial PV due to additional reflected irradiance gain, which can be achieved from the module’s rear side.This paper proposes and verifies a finite element method based view factor computation model, which can handle both uniform and non-uniform ground surfaces. The unique contribution of this work is that it introduces a geometric progression based finite element mesh generation process that forms the quasi-uniform grid. The generated grid values are fitted into the computation model to calculate the view factor from bifacial photovoltaics to the ground, known as the ground view factor (GVF). The proposed computation model can achieve an accuracy of 99%. To keep accuracy at this level, the smallest element size of the coarse mesh should be within 0.1%–0.4% of surface width or length. Moreover, the geometric progression ratio of the fine and coarse mesh should be in the range of 1.001–1.002 and 1.01–1.04, respectively. The model is analysed under six different PV field variables: multiple reflective ground surfaces, the height of PV, tilted ground surface, PV position in the ground, length and width of the ground, and PV string length. For the different string sizes considered here, the view factor model’s computation time varies from 180 s to 257 min for the iteration size of 7.67 billion to 765 billion. The view factor computation model will contribute to analyse reflected irradiance at the rear side of bifacial PV, which is essential to predict the energy generation accurately. The proposed model is also beneficial for urban planning and addressing heat gain of the building-integrated PV system and energy usage

    Performance analysis and comparison between bifacial and monofacial solar photovoltaic at various ground albedo conditions

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    This paper analyses and compares the performance between a bifacial and a monofacial PV system based on the tests conducted at Heriot-Watt University, UK. The module's performance was observed on different ground reflective surfaces: concrete, white tiles, soil, and white pebbles. The rear side irradiance and bifacial energy gains are analysed. The power output is examined for a sunny and cloudy days, and yearly energy mapping is shown. Correlation studies are performed, and empirical model are developed between (i) clearness index and rear irradiance gain: (ii) rear irradiance gain and bifacial energy gain; (iii) total irradiance and power output. Based on the annual rear irradiance gain analysis, the highest gain range is found for white pebbles and white tiles ground surface (>30 % gain) and lowest for soil surface within the 5 %–10 % range and for concrete, >20 %. Regardless of the ground reflective surface, the probability is low that the bifacial energy gain is more than 30 %. Finally, a case study is discussed to perform a sensitivity analysis of a bifacial PV project's Levelized cost of electricity (LCOE). The sensitivity analysis shows that by using an enhanced ground albedo surface, the LCOE of the bifacial PV project can be reduced to 7.15p/kWh. The results show consistency with simulations output ran in PVSyst for different locations across the UK and the reported bifacial gain worldwide

    Feto-maternal Outcome of Reverse Breech Extraction versus Dis-impaction of Fetal Head in Caesarean Section for Obstructed Labour

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    Objectives: Obstructed labour is an obstetrical emergency with adverse feto-maternal consequences and caesarean delivery in such cases requires skillful handling of impacted fetal head. Objective of our study was to guide clinician about caesarean technique that facilitates the delivery with least complications for mother and baby. Methods: It was a randomized clinical trial with non-probability consecutive sampling conducted at –removed for blind review---from 1st july 2018 – 30th june 2020. Patients who underwent emergency cesarean section were randomized to undergo either push technique for delivery of impacted fetal head (Group A) or reverse breech extraction method (Group B) via lottery method. The data of 60 patients who fulfilled the inclusion criteria was analyzed using SPSS version 19. Maternal outcome measured were extension of uterine incision, blood transfusion, postpartum pyrexia, wound infection, postpartum hemorrhage and length of hospital stay. Fetal outcome measured were 5 minutes Apgar score, birth weight and NICU admission. Results: The results of our study showed statistically significant difference between extension of uterine incision(p-value=0.015), blood transfusion during surgery (p-value=0.021) and postpartum hemorrhage (p-value=0.020) in two groups with pull technique associated with less traumatic extension of uterine incision, less intraoperative transfusion and less PPH than push technique of fetal delivery. Length of hospital stay was also significantly less in reverse breech extraction group(p-value=0.001).More patients had postpartum pyrexia, wound infection, low 5-min Apgar score and NICU admissions in cephalic delivery group but results were not statistically significant. Conclusion: The results of our study recommend reverse breech extraction technique to be a safe alternative to conventional vaginal pushing of fetal head especially regarding maternal outcomes during caesarean section of patients with obstructed labour for fetal delivery. Key words: Obstructed labour, impacted fetal head, reverse breech extraction, caesarean sectio

    Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study

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    With reference to energy generation, the global society has to urgently address three factors that are now critical: sustainability in terms of climate change, security in terms of the war that is currently raging in Europe with consequences that are being felt around the globe and the steep incline of fossil-fuel based energy costs. Around the world, large-scale solar farms are being constructed with tracking systems to improve the efficiency of photovoltaic (PV) modules. This article presents a comparison of energy generation of fixed-slope versus tracking PV modules. The analysis was based on a twenty-year dataset for two locations, namely, Lincoln (England) and Bhavnagar (India), which differ in terms of latitude, sky clarity and ambient temperature. It was demonstrated that a fixed-slope system facing the equator provides a healthy energy receipt that is a high fraction of the energy receipt of a tracking system. Furthermore, analysis was also carried out for a PV facility that will host the largest solar farm in England to conclude that regardless of the solar farm installation location, the use of bifacial PV is beneficial

    Radiation View Factor for Building Applications: Comparison of Computation Environments

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    Computation of view factors is required in several building engineering applications where radiative exchange takes place between surfaces such as ground and vertical walls or ground and sloping thermal or photovoltaics collectors. In this paper, view factor computations are performed for bifacial solar photovoltaic (PV) collectors based on the finite element method (FEM) using two programming languages known as Microsoft Excel-Visual Basic for Applications (VBA) and Python. The aim is to determine the computer response time as well as the performance of the two languages in terms of accuracy and convergence of the numerical solution. To run the simulations in Python, an open source just-in-time (JIT) compiler called Numba was used and the same program was also run as a macro in VBA. It was observed that the simulation response time significantly decreased in Python when compared to VBA. This decrease in time was due to the increase in the total number of iterations from 400 million to 250 billion for a given case. Results demonstrated that Python was 71–180 times faster than VBA and, therefore, offers a better programming platform for the view factor analysis and modelling of bifacial solar PV where computation time is a significant modelling challenge

    Enhancement of Albedo for Solar Energy Gain with Particular Emphasis on Overcast Skies

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    In the absence of ground reflected radiation measured data, an average albedo value of 0.2, which describes the reflective properties of the bare ground is generally used. The variation of albedo based on different foreground surfaces and under different atmospheric conditions is an area which is under research. This paper presents an experimental investigation of albedos of different foreground materials that can be used for photovoltaic (PV) applications. Overcast skies are predominant in northerly locations and will have a high frequency of low solar altitudes, and thus ground reflection is an important contributor towards total solar energy gain. The foreground surfaces include common materials: Grass, sand, and cement slabs, and some non-conventional materials: White pebbles, white boards, white tiles, and aluminium foil. The impact of factors, such as ageing, solar elevation, rain, and cloud cover (sky conditions) is analysed to determine the changes in albedos of these materials. Each material was observed to have individual performance characteristics under these factors. It was found that the non-conventional materials were least prone to weather-related changes and have higher albedo values as compared to the conventional materials, and also have good potential to replace the conventional materials for any given PV application

    Risk Factors of End Stage Renal Disease in Peshawar, Pakistan: Odds Ratio Analysis

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    AIM: The basic aim of this study was to discover the association of End Stage Renal Disease (ESRD) with various risk factors. End Stage Renal Failure is the last stage of the chronic renal failure in which kidneys become completely fail to function.MATERIALS AND METHODS: The data were collected from the patients of renal diseases from three major hospitals in Peshawar, Pakistan. Odds ratio analysis was performed to examine the relationship of ESRD (a binary response variable) with various risk factors: Gender, Diabetic, Hypertension, Glomerulonephritis, Obstructive Nephropathy, Polycystic kidney disease, Myeloma, SLE Nephritis, Heredity, Hepatitis, Excess use of Drugs, heart problem and Anemia.RESULTS: Using odds ratio analysis, the authors found that the ESRD in diabetic patients was 11.04 times more than non-diabetic patients and the ESRD were 7.29 times less in non-hypertensive patients as compared to hypertensive patients. Similarly, glomerulonephritis patients had 3.115 times more risk of having ESRD than non-glomerulonephritis. Other risk factors may also, to some extent, were causes of ESRD but turned out insignificant due to stochastic sample.CONCLUSION: The authors concluded that there is a strong association between ESRD and three risk factors, namely diabetes, hypertension and glomerulonephritis
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