scholarly journals Solar Photovoltaic Power Prediction Using Big Data Tools

2021 ◽  
Vol 13 (24) ◽  
pp. 13685
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Solar Irradiance ◽  
Weather Data ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Prediction ◽  
Pv System ◽  
Generation Planning ◽  
Solar Pv System

Solar photovoltaic (PV) installation has been continually growing to be utilized in a grid-connected or stand-alone network. However, since the generation of solar PV power is highly variable because of different factors, its accurate forecasting is critical for a reliable integration to the grid and for supplying the load in a stand-alone network. This paper presents a prediction model for calculating solar PV power based on historical data, such as solar PV data, solar irradiance, and weather data, which are stored, managed, and processed using big data tools. The considered variables in calculating the solar PV power include solar irradiance, efficiency of the PV system, and characteristics of the PV system. The solar PV power profiles for each day of January, which is a summer season, were presented to show the variability of the solar PV power in numerical examples. The simulation results show relatively accurate forecasting with 17.57 kW and 2.80% as the best root mean square error and mean relative error, respectively. Thus, the proposed solar PV power prediction model can help power system engineers in generation planning for a grid-connected or stand-alone solar PV system.

Grid Parity of Residential Building Rooftop Solar PV in India

2021 ◽  
pp. 19-40
Author(s):  
Rakesh Dalal ◽  
Kamal Bansal ◽  
Sapan Thapar
Keyword(s):  
Residential Building ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Indian Government ◽  
Pv System ◽  
Pv Systems ◽  
Grid Parity ◽  
Solar Pv System ◽  
Utility Grid ◽  
Rooftop Solar

Rooftop solar photovoltaic(PV) installation in India have increased in last decade because of the flat 40 percent subsidy extended for rooftop solar PV systems (3 kWp and below) by the Indian government under the solar rooftop scheme. From the residential building owner's perspective, solar PV is competitive when it can produce electricity at a cost less than or equal grid electricity price, a condition referred as “grid parity”. For assessing grid parity of 3 kWp and 2 kWp residential solar PV system, 15 states capital and 19 major cities were considered  for the RET screen simulation by using solar isolation, utility grid tariff, system cost and other economic parameters. 3 kWp and 2 kWp rooftop solar PV with and without subsidy scenarios were considered for simulation using RETscreen software. We estimate that without subsidy no state could achieve grid parity for 2kWp rooftop solar PV plant. However with 3 kWp rooftop solar PV plant only 5 states could achieve grid parity without subsidy and with government subsidy number of states increased to 7, yet wide spread parity for residential rooftop solar PV is still not achieved. We find that high installation costs, subsidized utility grid supply to low energy consumer and financing rates are major barriers to grid parity.

scholarly journals Impact of Soiling Rate on Solar Photovoltaic Panel in Malaysia

2018 ◽  
Vol 225 ◽  
pp. 04008 ◽  
Author(s):  
Shaharin A. Sulaiman ◽  
M. Rosman M. Razif ◽  
Tan Dei Han ◽  
Samson M. Atnaw ◽  
S. Norazilah A. Tamili
Keyword(s):  
Prediction Model ◽  
Electrical Power ◽  
Time Interval ◽  
Solar Pv ◽  
Pv System ◽  
Photovoltaic Panel ◽  
Pv Panel ◽  
Time Period ◽  
Solar Pv System ◽  
Time Basis

There are some weaknesses of using solar PV system especially when there is issue of soiling on the surface of solar PV panel. The consequences for absence of this such study can cause unanticipated cost in the operation of solar PV panel. The objective of this project is to study the trend of soiling rate over different time period and its effect on the performance of solar PV panel in Malaysia and to develop a simple prediction model for cleaning interval of solar PV system in Malaysia. The study was conducted on real-time basis on a building’s roof. Measurements of solar irradiance, voltage, current and the mass of dust collected were performed from both clean and dirty panels. It was discovered that the Monthly Test was significant with 4.53% of performance drop. Further analysis was conducted by running prediction model for cleaning interval. Intersection of graph plotting and fixed cleaning cost gives answer of cleaning interval that can be performed. It can be concluded that for every two and half month is the recommended time interval to perform regular cleaning to maximise electrical power generation by solar PV system in Malaysia.

scholarly journals Solar Concentrators In Malaysia: Towards The Development Of Low Cost Solar Photovoltaic Systems

2012 ◽  
Author(s):  
Firdaus Muhammad Sukki ◽  
Roberto Ramirez Iniguez ◽  
Scott G. Mcmeekin ◽  
Brian G. Stewart ◽  
Barry Clive
Keyword(s):  
Financial Analysis ◽  
Low Cost ◽  
Good Alternative ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Financial Benefit ◽  
Pv System ◽  
Solar Concentrators ◽  
Pv Systems ◽  
Solar Pv System

Solar energy has become a matter of global attention in the past few years. This paper explores the use and benefit of solar concentrators in the solar photovoltaic (PV) systems. First, a short literature review of previous research on the usage of solar concentrators in improving solar PV system performance and reducing the cost of implementation is presented. This is followed by an overview of SolarBrane, an example of a Building Integrated photovoltaic (BIPV) system which uses an optical concentrator in the solar PV design. An optimised design of the SolarBrane is also discussed afterwards. A financial benefit study is conducted to compare the average return of investment of using the optimised SolarBrane and traditional solar PV installed in Malaysia’s environment. SolarBrane has proven to be a good alternative to achieve costeffective solar PV system. The financial analysis simulated under the new Malaysian Feed–In Tariff scheme indicates that the optimised SolarBrane could potentially reduce the initial cost of implementation by 40% and generate higher return, close to 20%, when compared to traditional solar PV systems. Key words: Solar photovoltaic; solar concentrator; solarBrane; dielectric totally internally reflecting concentrator; financial analysis

scholarly journals Feasibility Study of Grid-Connected Solar Photovoltaic (PV) System for Primary School in Johor

2018 ◽  
Vol 11 (1) ◽  
pp. 233
Author(s):  
Siti Amely Jumaat ◽  
Adhwa Amsyar Syazwan Ab Majid ◽  
Chin Kim Gan ◽  
Mohd Noor Abdullah ◽  
Nur Hanis Radzi ◽  
...  
Keyword(s):  
Educational Institution ◽  
Project Planning ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
System Implementation ◽  
Huge Amount ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
The Cost

This project aims to determine the potential of grid connected solar Photovoltaic (PV) implementation and project planning of solar PV System in school.  Generally, the educational institution used huge amount of electricity to operate so their monthly bills is expensive. Therefore, the project planning is necessary to determine the potential of solar PV system implementation. The project planning consists of the current electricity consumed by the school and the amount of 120W Monocrystalline PV module needed by them. The cost of project are determines to identify the initial cost of this project implementation. Lastly, analysis on the profit collected by SK Pintas Raya after 20 years of solar PV system implementation proved the importance of this project.

scholarly journals Design of Augmented Cooling System for Urban Solar PV System

2021 ◽  
Vol 335 ◽  
pp. 03002
Author(s):  
Chong Jia Joon ◽  
Kelvin Chew Wai Jin
Keyword(s):  
Cooling System ◽  
Electrical Energy ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Pv Panel ◽  
Solar Pv System ◽  
Low Efficiency ◽  
Electrical Loads ◽  
Temperature Output

Solar photovoltaic (PV) panels have been widely used to convert the renewable energy from the sun to electrical energy to power electrical loads but suffers from relatively low efficiency between 15% to 22%. Typically, the panels have an average lifespan of 25 to 30 years but could degrade quicker due to the panel overheating. Beyond the optimum working temperature of 25°C, a drop of efficiency by 0.4 to 0.5% for every 1°C had been reported. For solar PV applications in urban regions, passive cooling is beneficial due to limited amount of space and lower energy consumption compared to active cooling. A solar PV system with augmented cooling was conducted at a balcony of a condominium from 10am until 2pm. The solar PV system consisted of an Arduino controller, solar panel module, temperature sensor and LCD monitor. Reusable cold and hot gel packs were attached to the bottom of the solar PV. Both setups of solar PV panel with and without the cooling system were placed at the balcony simultaneously for measurement of temperature, output voltage and current. From this research, the outcome of implementing a cooling system to the solar PV increases the efficiency of the energy conversion.

scholarly journals Design and Implementation of Rural Electrification Framework using Photovoltaic

2020 ◽  
Vol 9 (5) ◽  
pp. 434-438
Keyword(s):  
Rural Areas ◽  
Rural Electrification ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Specific System ◽  
Policy Makers ◽  
Pv Systems ◽  
Design And Implementation ◽  
Solar Pv System

The need to electrify all rural areas in India is quite compelling. However, the focus has now shifted from traditional fuel-based systems to generate electricity to renewable sources for energy generation. Though there are subsidies and policies that encourage the use of solar Photovoltaic (PV) systems, there is a need for an appropriate framework. This framework could not only offer substantial directions but it would also act as grounds to enhance rural electrification in India using solar PVs. From this perspective, the current research attempts to structure an innovative framework for solar PV system that could facilitate rural electrification in India. In particular, the district of Damoh in Madhya Pradesh was chosen as there are many villages without electricity in this district. PVsyst software was utilized to simulate the outcomes that included mathematical models and diverse components based on PV, for simulation. Three designs were developed to facilitate the simulation. These included; PVs linked with microgrid devoid of battery, individual PV systems without microgrid link and solar PVs linked to microgrid with battey. The framework for rural electrification using solar PVs will offer policy makers with insights with regards to implementing PV systems. It will also offer inputs as to the feasibility of implementing a specific system on several parameters. These would comprise of; number of households within a village, detached households etc. Nonetheless, research in future is also warranted to explore the scope for other sources of renewable energy.

scholarly journals A Hybrid Spatio-Temporal Prediction Model for Solar Photovoltaic Generation Using Numerical Weather Data and Satellite Images

2020 ◽  
Vol 12 (22) ◽  
pp. 3706
Author(s):  
Bowoo Kim ◽  
Dongjun Suh
Keyword(s):  
Prediction Model ◽  
Satellite Images ◽  
Machine Learning Algorithms ◽  
Weather Data ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Spatial Characteristics ◽  
Temporal Prediction ◽  
Spatio Temporal ◽  
Pv Generation

Precise and accurate prediction of solar photovoltaic (PV) generation plays a major role in developing plans for the supply and demand of power grid systems. Most previous studies on the prediction of solar PV generation employed only weather data composed of numerical text data. The numerical text weather data can reflect temporal factors, however, they cannot consider the movement features related to the wind direction of the spatial characteristics, which include the amount of both clouds and particulate matter (PM) among other weather features. This study aims developing a hybrid spatio-temporal prediction model by combining general weather data and data extracted from satellite images having spatial characteristics. A model for hourly prediction of solar PV generation is proposed using data collected from a solar PV power plant in Incheon, South Korea. To evaluate the performance of the prediction model, we compared and performed ARIMAX analysis, which is a traditional statistical time-series analysis method, and SVR, ANN, and DNN, which are based on machine learning algorithms. The models that reflect the temporal and spatial characteristics exhibited better performance than those using only the general weather numerical data or the satellite image data.

scholarly journals Potential Effect and Analysis of High Residential Solar Photovoltaic (PV) Systems Penetration to an Electric Distribution Utility (DU)

2016 ◽  
Vol 5 (3) ◽  
pp. 179-185 ◽  
Author(s):  
Jeffrey Tamba Dellosa
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Potential Effect ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Load Profile ◽  
Pv Systems ◽  
Solar Pv System ◽  
Electric Distribution

The Renewable Energy Act of 2008 in the Philippines provided an impetus for residential owners to explore solar PV installations at their own rooftops through the Net-Metering policy. The Net-Metering implementation through the law however presented some concerns with inexperienced electric DU on the potential effect of high residential solar PV system installations. It was not known how a high degree of solar integration to the grid can possibly affect the operations of the electric DU in terms of energy load management. The primary objective of this study was to help the local electric DU in the analysis of the potential effect of high residential solar PV system penetration to the supply and demand load profile in an electric distribution utility (DU) grid in the province of Agusan del Norte, Philippines. The energy consumption profiles in the year 2015 were obtained from the electric DU operating in the area. An average daily energy demand load profile was obtained from 0-hr to the 24th hour of the day based from the figures provided by the electric DU. The assessment part of the potential effect of high solar PV system integration assumed four potential total capacities from 10 Mega Watts (MW) to 40 MW generated by all subscribers in the area under study at a 10 MW interval. The effect of these capacities were measured and analyzed with respect to the average daily load profile of the DU. Results of this study showed that a combined installations beyond 20 MWp coming from all subscribers is not viable for the local electric DU based on their current energy demand or load profile. Based from the results obtained, the electric DU can make better decisions in the management of high capacity penetration of solar PV systems in the future, including investment in storage systems when extra capacities are generated.Article History: Received July 15th 2016; Received in revised form Sept 23rd 2016; Accepted Oct 1st 2016; Available onlineHow to Cite This Article: Dellosa, J. (2016) Potential Effect and Analysis of High Residential Solar Photovoltaic (PV) Systems Penetration to an Electric Distribution Utility (DU). Int. Journal of Renewable Energy Development, 5(3), 179-185.http://dx.doi.org/10.14710/ijred.5.3.179-185

Multiobjective mix generation planning considering utility-scale solar PV system and voltage stability: Nigerian case study

2019 ◽  
Vol 168 ◽  
pp. 269-282 ◽  
Author(s):  
Oludamilare Bode Adewuyi ◽  
Ryuto Shigenobu ◽  
Tomonobu Senjyu ◽  
Mohammed E. Lotfy ◽  
Abdul Motin Howlader
Keyword(s):  
Voltage Stability ◽  
Solar Pv ◽  
Pv System ◽  
Generation Planning ◽  
Solar Pv System ◽  
Utility Scale

scholarly journals Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2137
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Power Flow ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Load Power ◽  
Solar Pv System ◽  
Power Forecasting

This paper provides models for managing and investigating the power flow of a grid-connected solar photovoltaic (PV) system with an energy storage system (ESS) supplying the residential load. This paper presents a combination of models in forecasting solar PV power, forecasting load power, and determining battery capacity of the ESS, to improve the overall quality of the power flow management of a grid-connected solar PV system. Big data tools were used to formulate the solar PV power forecasting model and load power forecasting model, in which real historical solar electricity data of actual solar homes in Australia were used to improve the quality of the forecasting models. In addition, the time-of-use electricity pricing was also considered in managing the power flow, to provide the minimum cost of electricity from the grid to the residential load. The output of this model presents the power flow profiles, including the solar PV power, battery power, grid power, and load power of weekend and weekday in a summer season. The battery state-of-charge of the ESS was also presented. Therefore, this model may help power system engineers to investigate the power flow of each system of a grid-connected solar PV system and help in the management decision for the improvement of the overall quality of the power management of the system.

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