scholarly journals Experimental study of the impact of dust on azimuth tracking solar PV in Sharjah

2021 ◽  
Vol 11 (5) ◽  
pp. 3671
Author(s):  
Mohamed A. M. Abdelsalam ◽  
Fahad Faraz Ahmad ◽  
Abdul-Kadir Hamid ◽  
Chaouki Ghenai ◽  
Oussama Rejeb ◽  
...  
Keyword(s):  
Experimental Study ◽  
Electrical Power ◽  
Winter Season ◽  
Weather Conditions ◽  
Dust Particles ◽  
Solar Photovoltaic ◽  
Cleaning Process ◽  
Solar Pv ◽  
Electrical Power Output ◽  
The Impact

<span>Dust is one of the significant constraints in utilizing solar photovoltaic systems under harsh weather conditions in the desert regions due to creating a shadow that blocks solar irradiance from reaching solar cells and consequently, significantly reducing their efficiency. In this research, experimental study was performed to comprehend the nature of dust particles and their impact on the electrical power output that is generated from azimuth tracking solar PV modules under Sharjah environmental conditions in winter season. According to laboratory experiments, the power losses are linearly related to the dust accumulated density on the surface of the solar panel with a slope of 1.27% per g/m2. The conducted Outdoor studies revealed that the absolute reduction in output power increased by 8.46% after 41 continuous days with one low-intensity rainy day. The linear relationship obtained from indoor experiments was applied later to estimate the dust deposited density on the outdoor setup. The results showed that a regular cleaning process every two weeks is recommended to maintain the performance and to avoid the soiling loss. This work will help engineers in the solar PV plants to forecast the dust impact and figure out the regularity of the cleaning process in case of single axis tracking systems.</span>

scholarly journals Analyzing the impact of dust accumulation and different cleaning mechanism on efficiency of solar photovoltaic panel

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Atul Kumar1 ◽  
Srivastava Manish2
Keyword(s):  
Renewable Energy Sources ◽  
Dust Particles ◽  
Energy Sources ◽  
Pollution Level ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Photovoltaic Panel ◽  
Pv Systems ◽  
The Impact ◽  
Rooftop Solar

Electricity generation around the world is mainly produced by using non-renewable energy sources especially in the commercial buildings. However, Rooftop solar Photovoltaic (PV) system produced a significant impact on environmental and economical benefits in comparison to the conventional energy sources, thus contributing to sustainable development. Such PV’s system encourages the production of electricity without greenhouse gas emissions that leads to a clean alternative to fossil fuels and economic prosperity even in less developed areas. However, efficiency of rooftop solar PV systems depends on many factors, the dominant being geographical (latitude, longitude, and solar intensity), environmental (temperature, wind, humidity, pollution, dust, rain, etc.) and the type of PV (from raw material extraction and procurement, to manufacturing, disposal, and/or recycling) used. During the feasibility analysis of the environment, geographical conditions are keep in well consideration, but the pollution level of the city is always overlooked, which significantly influences the performance of the PV installations.           Therefore, this research work focused on the performance of rooftop solar PV installed in one of the most polluted city in India. Here, the loss in power generation of rooftop solar PV has been studied for the effect of deposited dust particles, wind velocity before and after the cleaning of the panels. The actual data has been utilized for the calculation of the energy efficiency and power output of the PV systems. According to the results, it has been concluded that dust deposition, wind speed and pollution level in city significantly reduces the efficiency of solar photovoltaic panel. Hence, an overview of social and environmental impacts of PV technologies is presented in this paper along with potential benefits and pitfalls.

scholarly journals Performance effect of applying paraffin wax on solar photovoltaic backplate

2019 ◽  
Vol 14 (1) ◽  
pp. 375
Author(s):  
E. Roslan ◽  
A. Razak
Keyword(s):  
Electrical Power ◽  
High Irradiance ◽  
Paraffin Wax ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Performance Effect ◽  
Pv Panel ◽  
Back Plate ◽  
Electrical Power Output ◽  
Change Material

<span>The efficiency of solar photovoltaic (PV) panels is affected by its operating temperature. Having high irradiance produces high electrical output but also heats up the panel and reducing the panels efficiency. This study investigates the effect of cooling solar PV panels using 750g of paraffin wax as phase change material (PCM) applied to the back plate of a solar PV panel. The experiment is done at Kajang, Selangor, Malaysia. The result is reduction of up to 9.5°C, increase of up to 0.947W or 11.82% of electrical power output when compared to the panel without any PCM applied. The panel cooled with PCM also produced 4.69% more energy</span>

scholarly journals Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Sohrab Khan ◽  
Faheemullah Shaikh ◽  
Mokhi Maan Siddiqui ◽  
Tanweer Hussain ◽  
Laveet Kumar ◽  
...  
Keyword(s):  
Neural Networks ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Recurrent Neural Networks ◽  
Weather Conditions ◽  
Solar Photovoltaic ◽  
Mean Square ◽  
Solar Pv ◽  
The Impact

The solar photovoltaic (PV) power forecast is crucial for steady grid operation, scheduling, and grid electricity management. In this work, numerous time series forecast methodologies, including the statistical and artificial intelligence-based methods, are studied and compared fastidiously to forecast PV electricity. Moreover, the impact of different environmental conditions for all of the algorithms is investigated. Hourly solar PV power forecasting is done to confirm the effectiveness of various models. Data used in this paper is of one entire year and is acquired from a 100 MW solar power plant, namely, Quaid-e-Azam Solar Park, Bahawalpur, Pakistan. This paper suggests recurrent neural networks (RNNs) as the best-performing forecasting model for PV power output. Furthermore, the bidirectional long-short-term memory RNN framework delivered high accuracy results in all weather conditions, especially under cloudy weather conditions where root mean square error (RMSE) was found lowest 0.0025, R square stands at 0.99, and coefficient of variation of root mean square error (RMSE) Cv was observed 0.0095%.

A comprehensive review on the impact of nanofluid in solar photovoltaic/thermal system

2021 ◽  
pp. 095440622110556
Author(s):  
E Manikandan ◽  
K Mayandi ◽  
M Sivasubramanian ◽  
N Rajini ◽  
S Rajesh ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Physical Properties ◽  
Energy Resource ◽  
Green Energy ◽  
Electrical Performance ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
The Impact ◽  
Thermo Physical Properties ◽  
T System

Solar energy is a major renewable energy resource used in power production, heating processes, and other applications such as domestic and industrial utilization. It is an abundant form of green energy. Different techniques have been made for energy conversion and one among them is solar photovoltaic/thermal (PV/T) system. Unfortunately, the greatest cause of concern is the rise in temperature of solar PV cells, which will have a negative effect on electrical performance. Thereby, eliminating excess heat on PV cells with heat transfer fluids to lower the temperature of the cells can improve electrical efficiency. A nanofluid is a promising heat transfer fluid to effectively enhance the system efficacy compared with conventional fluids. As the nanoparticle size is very small, the surface area of the nanoparticle is large so it enhances the heat transfer rate. Thereby, recently it has taken on a new dimension for research studies to enhance its thermal behavior for engineering application. This review paper discusses about the importance of nanofluid in solar PV/T system and advantages of employing nanofluid in PV/T system which has high thermo-physical properties. Nanoparticle and nanofluid preparation methods were presented. The thermo-physical properties like thermal conductivity, viscosity, density, and specific heat capacity were also discussed.

Experimental Investigation of the Impact of Biogas on a 3 kW Micro Gas Turbine FLOX®-Based Combustor

2020 ◽  
Author(s):  
Hannah Seliger-Ost ◽  
Peter Kutne ◽  
Jan Zanger ◽  
Manfred Aigner
Keyword(s):  
Natural Gas ◽  
Gas Turbine ◽  
Waste Heat ◽  
Electrical Power ◽  
Atmospheric Conditions ◽  
Micro Gas Turbine ◽  
Fuel Mixtures ◽  
Carbon Dioxide Co2 ◽  
Electrical Power Output ◽  
The Impact

Abstract The use of biogas has currently two disadvantages. Firstly, processing biogas to natural gas quality for feeding into the natural gas grid is a rather energy consuming process. Secondly, the conversion into electricity directly in biogas plants produces waste heat, which largely cannot be used. Therefore, a feed-in of the desulfurized and dry biogas to local biogas grids would be preferable. Thus, the biogas could be used directly at the end consumer for heat and power production. As biogas varies in its methane (CH4) and carbon dioxide (CO2) content, respectively, this paper studies the influence of different biogas mixtures compared to natural gas on the combustion in a FLOX®-based six nozzle combustor. The single staged combustor is suitable for the use in a micro gas turbine (MGT) based combined heat and power (CHP) system with an electrical power output of 3 kW. The combustor is studied in an optically accessible atmospheric test rig, as well as integrated into the MGT system. This paper focuses on the influence of the admixture of CO2 to natural gas on the NOX and CO emissions. Furthermore, at atmospheric conditions the shape and location of the heat release zone is investigated using OH* chemiluminescence (OH* CL). The combustor could be stably operated in the MGT within the complete stationary operating range with all fuel mixtures.

scholarly journals Grid Load Reduction through Optimized PV Power Utilization in Intermittent Grids Using a Low-Cost Hardware Platform

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1764 ◽  
Author(s):  
Mashood Nasir ◽  
Hassan Abbas Khan ◽  
Irfan Khan ◽  
Naveed ul Hassan ◽  
Nauman Ahmad Zaffar ◽  
...  
Keyword(s):  
Low Cost ◽  
Electrical Power ◽  
Developed Countries ◽  
Load Shedding ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Utility Company ◽  
Optimization Framework ◽  
Grid Environments ◽  
Grid Load

Renewable energy incorporation in many countries takes different forms. In many developed countries, grid-tied solar photovoltaic (PV) installations are widely coupled with lucrative Feed-in-Tariffs (FiT). However, conventional grid-tied solutions are not readily viable in many developing countries mainly due to intermittent grids with load shedding and, in some cases, lack of net-metering or FiT. Load shedding refers to an intentional electrical power shutdown by the utility company where electricity delivery is stopped for non-overlapping periods of time over different parts of the distribution region. This results in a non-continuous availability of the utility grid for many consumers over the course of a day. In this work, the key challenges in the integration of solar energy explicitly in residential power back-up units are reviewed and system hardware level requirements to allow optimized solar PV utilization in such intermittent grid environments are analyzed. Further, based upon the low-cost sensing and real-time monitoring scheme, an online optimization framework enabling efficient solar incorporation in existing systems to achieve minimum grid dependence in intermittent grid environments is also provided. This work is particularly targeted for over 1.5 billion residents of semi-electrified regions in South Asia and Africa with the weak and intermittent grid.

scholarly journals A BREAK-EVEN ANALYSIS AND IMPACT ANALYSIS OF RESIDENTIAL SOLAR PHOTOVOLTAIC SYSTEMS CONSIDERING STATE SOLAR INCENTIVES

2017 ◽  
Vol 24 (2) ◽  
pp. 358-382 ◽  
Author(s):  
Minhyun LEE ◽  
Taehoon HONG ◽  
Choongwan KOO ◽  
Chan-Joong KIM
Keyword(s):  
Impact Analysis ◽  
Net Present Value ◽  
The United States ◽  
Economic Feasibility ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv Systems ◽  
Break Even Point ◽  
The Impact ◽  
The U.S

Despite the steady growth and price reductions of solar photovoltaic (PV) market in the United States (U.S.), the solar PV market still depends on financial support and incentives due to its high initial investment cost. Therefore, this study aimed to conduct a break-even analysis and impact analysis of residential solar PV systems by state in the U.S., focused on state solar incentives. Three indexes (i.e., net present value, profitability index (PI) and payback period) were used to evaluate the investment value of the residential solar PV systems considering state solar incentives. Furthermore, PI increase ratio was used to analyze the impact of state solar incentives on the economic feasibility of the residential solar PV systems in each state. As a result, it was found that 18 of the 51 target cities have reached the break-even point and seven of the 51 target cities showed great improvement of the economic feasibility of solar PV systems in the U.S. due to excellent state solar incentives. The results of this study can help policy makers to evaluate and compare the economic impacts of the residential solar PV systems by state in the U.S.

scholarly journals THE INFLUENCE OF DUST AND TEMPERATURE ON THE EFFICIENCY OF SOLAR PHOTOVOLTAIC MODULES

2021 ◽  
pp. 44-52
Author(s):  
R.R. Vardanyan ◽  
N.K. Badalyan
Keyword(s):  
Economic Effect ◽  
Experimental Studies ◽  
Operating Conditions ◽  
Dust Particles ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Ambient Temperatures ◽  
Pv Modules ◽  
Negative Effect ◽  
Viable System

At present, the use of solar photovoltaic (PV) modules plays an important role in the field of utilization of solar energy and transformation of this energy into electricity. The main characteristic of PV modules is the work efficiency. It strongly depends on external influences such as the degree of contamination on the glass surface and the operating temperature of the PV modules. Accumulation of dust particles on the surface of PV modules has a very negative effect on their efficiency. At high ambient temperatures, solar PV modules heat up, and the efficiency of modules is reduced. This problem is very substantial for the countries with high temperature conditions and dusty climate. In this paper, the influence of dust and temperature on the efficiency of solar PV modules is investigated. The new-type economically viable system for cleaning and cooling PV modules is used during the experiments. The conducted experimental studies under actual operating conditions during the rainiest period of the year in Yerevan, have shown that due to the cleaning of dust, the efficiency of PV modules is increasing on average by 6.7%. Due to rapid cooling by water in two minutes, the efficiency of PV modules is increased by 2.5%. To improve the operation efficiency, the PV modules must be cooled periodically, taking into consideration the quantity of the consumed water in order to get the maximal economic effect.

scholarly journals Performance Analysis of Integrated Bio-Catalyst Microbial Fuel Cell with Different Asian Weather Conditions

2020 ◽  
Vol 9 (11) ◽  
pp. 99-103
Keyword(s):  
Power Generation ◽  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Electrical Power ◽  
Weather Conditions ◽  
Electrical Current ◽  
Energy Sources ◽  
Hybrid Energy ◽  
Proposed Model ◽  
The Impact

As the future energy generation, renewable energy as a cleaner energy is more targeted area of research. Microbial fuel cell (MFC) in hybrid energy sources, one can use wind, solar and MFC with its capability to use bio-catalytic and microorganisms to generate an electrical current. This research focuses on the impact of temperature on generation of energy for Maharashtra regions. The proposed framework presents the study about MFC bio-catalysts and its ability to produce electrical power. The proposed MFC model generates an optimum current by making use of bio-waste as the single electron donor. This paper presents impact of different weather temperatures on the power generation by proposed model.

scholarly journals How Would We Cycle Today If We Had the Weather of Tomorrow? An Analysis of the Impact of Climate Change on Bicycle Traffic

2021 ◽  
Vol 13 (18) ◽  
pp. 10254
Author(s):  
Anton Galich ◽  
Simon Nieland ◽  
Barbara Lenz ◽  
Jan Blechschmidt
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Winter Season ◽  
Model Performance ◽  
Weather Conditions ◽  
Planning And Design ◽  
Validation Procedure ◽  
The Impact ◽  
The City ◽  
Local Weather

Bicycle usage is significantly affected by weather conditions. Climate change is, therefore, expected to have an impact on the volume of bicycle traffic, which is an important factor in the planning and design of bicycle infrastructures. To predict bicycle traffic in a changed climate in the city of Berlin, this paper compares a traditional statistical approach to three machine learning models. For this purpose, a cross-validation procedure is developed that evaluates model performance on the basis of prediction accuracy. XGBoost showed the best performance and is used for the prediction of bicycle counts. Our results indicate that we can expect an overall annual increase in bicycle traffic of 1–4% in the city of Berlin due to the changes in local weather conditions caused by global climate change. The biggest changes are expected to occur in the winter season with increases of 11–14% due to rising temperatures and only slight increases in precipitation.

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