scholarly journals Impact of Soiling on Energy Yield of Solar PV Power Plant and Developing Soiling Correction Factor for Solar PV Power Forecasting

2021 ◽  
Vol 1 (2) ◽  
pp. 21-29
Author(s):  
Sahana L. ◽  
Naveen Kumaar ◽  
Hans Peter Waldl ◽  
Prasun Kumar Das ◽  
Karthik Ramanathan ◽  
...  
Keyword(s):  
Power Plant ◽  
Correction Factor ◽  
Large Scale ◽  
Solar Power ◽  
Energy Yield ◽  
Solar Pv ◽  
Solar Forecasting ◽  
Power Generators ◽  
Dc Power ◽  
The World

Across the world, the geographical conditions are varied, and the characteristics of dust depend on the local environmental conditions. The solar power generators must incorporate the soiling losses in their estimation for power output and therefore a methodology was developed to estimate the soiling correction factor. After extensive research, a comprehensive review was presented on the effect of soiling on performance of PV plants along with case studies of soiling experiments around the world. A soiling experiment was designed to develop the soiling correction factor. A methodology to calculate the soiling correction factor, which can be implemented in any location, was developed by analyzing the data from the soiling experiment. The effect of rainfall, humidity and wind on soiling was analyzed and documented. The performance of one 20 kWp PV plant was monitored to study the effect of weather-related parameters on the performance. The soiling correction factor varied from -1.36% to 3.67% during the period between June 2018 and June 2019 in Chennai. It was observed that the average PV conversion efficiency of the 20-kW plant was 11.75% and the average PR was 75%. It was observed that the correlation between module temperature and DC power; between humidity and DC power; between GTI and DC power varied every month. The soiling factor developed could be incorporated into the short-term day ahead solar forecasting model. The developed methodology could be applied at the any large-scale solar power plant around the world for yield assessment, designing as well as operational forecasting purposes.

scholarly journals Performance comparison of fixed and single axis tracker photovoltaic system in large scale solar power plants in Malaysia

2021 ◽  
Vol 21 (1) ◽  
pp. 10
Author(s):  
Baraa Mahmoud Dawoud ◽  
Siow Chun Lim
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
Peninsular Malaysia ◽  
Performance Comparison ◽  
Photovoltaic System ◽  
Energy Yield ◽  
Solar Pv ◽  
Pv System ◽  
Comparative Performance

<span>Malaysia is rapidly expanding the generation capacity of solar power through large scale solar (LSS) projects with the aim to achieve 20% renewable energy mix by 2025. This has motivated many solar industry players to explore the usage of solar PV with single axis tracker (SAT) system. However, many are still hesitant due to the lack of understanding on the comparative performance between fixed mounted solar PV with solar PV with SAT system. This paper aims to provide a comparative analysis on the performance of both systems. Simulation using PVSyst 6.83 was performed in five potential LSS sites spread across Peninsular Malaysia in Perlis, Kelantan, Pahang, Selangor and Johor with the same installed capacity of 10.32MWp. The energy yield and capacity factor for 21 years were simulated. On the average, it was found that SAT outperforms fixed mounted solar PV system by 15.08% based on their performance on their first year operation. </span>

A Study of IoT based Real-Time Solar Power Remote Monitoring System

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam
Keyword(s):  
Power Plant ◽  
Real Time ◽  
Monitoring System ◽  
Power Output ◽  
Solar Power ◽  
Solar Power Plant ◽  
Solar Pv ◽  
Time Data ◽  
Power Monitoring ◽  
Remote Monitoring System

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.

scholarly journals A countrywide analysis of 27 solar power plants installed at different climates

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Talat Ozden
Keyword(s):  
Power Plant ◽  
Alternative Energy ◽  
Power Plants ◽  
Solar Power ◽  
Meteorological Data ◽  
Energy Sources ◽  
Climate Classification ◽  
Climate Type ◽  
Monthly Average ◽  
The World

AbstractThe world is still heavily using nonconventional energy sources, which are worryingly based on carbon. The step is now alternative energy sources hoping that they will be more environmentally friendly. One of the important energy conversion forms by using these sources is photovoltaic solar systems. These type of power plants is on the increase in everyday on the world. Before investment a solar power plant in a specified region, a techno-economic analyse is performed for that power plant by using several meteorological data like solar irradiance and ambient temperature. However, this analyses generally lacks evaluation on effects of climatic and geographical conditions. In this work, 5 years of data of 27 grid-connected photovoltaic power plants are investigated, which are installed on seven different climate types in Turkey. Firstly, the power plants are categorized considering the tilt angles and Köppen–Gieger climate classification. The performance evaluations of the plants are mainly conducted using monthly average efficiencies and specific yields. The monthly average efficiencies, which were classified using the tilts and climate types were from 12 to 17%, from 12 to 16% and from 13 to 15% for tilts 30°/10°, 25° and 20°, respectively. The variation in the specific yields decrease with elevation as y(x) =  − 0.068x + 1707.29 (kWh/kWp). As the performances of photovoltaic systems for some locations within the Csb climatic regions may relatively lower than some other regions with same climate type. Thus, techno-economic performance for PVPP located in this climate classification should be carefully treated.

Dynamic Simulation Study on a Coal-Fired Power Plant Aided With Low-Temperature Solar Energy

2019 ◽  
Author(s):  
Xin Li ◽  
Yongliang Zhao ◽  
Ming Liu ◽  
Junjie Yan
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Solar Energy ◽  
Output Power ◽  
Large Scale ◽  
Solar Power ◽  
Flow Ratio ◽  
Design And Optimization ◽  
Collector System ◽  
Steam Extraction

Abstract The concept of coal-fired power generation aided with solar energy uses stable fossil energy to compensate the instability and intermittently of solar power and reduces the cost of concentrated solar power (CSP) by decreasing the large-scale heat storage and turbine systems of CSP. In this study, trough solar collector system (TSCS) was integrated into the low-pressure heater side of a 660 MW coal-fired power generation system. In the system in which the 6# LP heater is completely replaced by TSCS, the variation value of the steam extraction flowrate of the LP heaters and the turbine output power decrease with the reduction in loads from 100% to 60% THA, and the output power increases by approximately 1 MW under 100% THA. When TSCS completely replaces the 6# LP heater under the load of 75%, the effects of direct normal irradiance (DNI) increase and flow ratio decrease on the main operating parameters of solar-aided coal-fired power plant (SCPP) were studied. Results show that the step increase of DNI decreases the 5# steam extraction flowrate and increases the output power by nearly 3 MW. When the flow ratio decreases by 139.87 kg/s, the output power decreases by around 0.35 MW. The dynamic characteristics of SCPP under different parallel situations with the load of 75% were also studied. As the number of parallel stage increases, the decrement in 5# steam extraction flowrate and the increment in output power decrease. The response time also decreases. Our study aims to provide detailed references for the control system design and optimization of coal-fired power units aided with solar energy.

scholarly journals Economic feasibility of developing large scale solar photovoltaic power plants in Spain

2019 ◽  
Vol 122 ◽  
pp. 02004 ◽  
Author(s):  
Javier Menéndez ◽  
Jorge Loredo
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Large Scale ◽  
Economic Feasibility ◽  
Solar Irradiation ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Photovoltaic Energy ◽  
Profitability Analysis ◽  
Photovoltaic Power

In 2017, electricity generation from renewable sources contributed more than one quarter (30.7%) to total EU-28 gross electricity consumption. Wind power is for the first time the most important source, followed closely by hydro power. The growth in electricity from photovoltaic energy has been dramatic, rising from just 3.8 TWh in 2007, reaching a level of 119.5 TWh in 2017. Over this period, the contribution of photovoltaic energy to all electricity generated in the EU-28 from renewable energy sources increased from 0.7% to 12.3%. During this period the investment cost of a photovoltaic power plant has decreased considerably. Fundamentally, the cost of solar panels and inverters has decreased by more than 50%. The solar photovoltaic energy potential depends on two parameters: global solar irradiation and photovoltaic panel efficiency. The average solar irradiation in Spain is 1,600 kWh m-2. This paper analyzes the economic feasibility of developing large scale solar photovoltaic power plants in Spain. Equivalent hours between 800-1,800 h year-1 and output power between 100-400 MW have been considered. The profitability analysis has been carried out considering different prices of the electricity produced in the daily market (50-60 € MWh-1). Net Present Value (NPV) and Internal Rate of Return (IRR) were estimated for all scenarios analyzed. A solar PV power plant with 400 MW of power and 1,800 h year-1, reaches a NPV of 196 M€ and the IRR is 11.01%.

scholarly journals Evaluation of Energy Production and Energy Yield Assessment Based on Feasibility, Design, and Execution of 3 × 50 MW Grid-Connected Solar PV Pilot Project in Nooriabad

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Irfan Jamil ◽  
Jinquan Zhao ◽  
Li Zhang ◽  
Rehan Jamil ◽  
Syed Furqan Rafique
Keyword(s):  
Power Plant ◽  
Distribution System ◽  
Energy Production ◽  
Pilot Project ◽  
Performance Ratio ◽  
Energy Yield ◽  
Solar Pv ◽  
Utility Distribution ◽  
Annual Capacity ◽  
Utility Scale

The installation of 3 × 50 MW (150 MW DC) large utility scale solar power plant is ground based using ventilated polycrystalline module technology with fixed tilt angle of 28° in a 750-acre land, and the site is located about 115 km northeast of Karachi, Pakistan, near the town of ThanoBula Khan, Nooriabad, Sindh. This plant will be connected to the utility distribution system through a national grid of 220 kV outgoing double-loop transmission line. The 3 × 50 MW solar PV will be one of the largest tied grid-connected power projects as the site is receiving a rich average solar radiation of 158.7 kW/h/m2/month and an annual average temperature of about of 27°C. The analysis highlights the preliminary design of the case project such as feasibility study and PV solar design aspects and is based on a simulation study of energy yield assessment which has all been illustrated. The annual energy production and energy yield assessment values of the plant are computed using the PVSYST software. The assumptions and results of energy losses, annual performance ratio (PR) 74.73%, annual capacity factor 17.7%, and annual energy production of the plant at 232,518 MWh/year are recorded accordingly. Bear in mind that reference recorded data indicates a good agreement over the performance of the proposed PV power plant.

Flow Distribution Measurements From an Air Cooled Condenser in a ~400MW Power Plant

2011 ◽  
Author(s):  
E. J. Walsh ◽  
R. Grimes ◽  
G. Griffin
Keyword(s):  
Power Plant ◽  
Arid Regions ◽  
Large Scale ◽  
Flow Distribution ◽  
Back Pressure ◽  
Low Velocity ◽  
Steam Power ◽  
Air Cooled Condensers ◽  
The World ◽  
Outlet Flow

The use of air cooled condensers in power generation is increasing in many arid regions of the world. The classical A-frame condenser design is implemented in most new installations despite significant empirical evidence that such designs suffer from poor efficiencies and weather effects, and therefore provide significant scope for improvements. An inefficient condenser results in higher back pressure on the turbine, over-sized condensers and increased fan power. This paper addresses the flow distribution from an air cooled condenser for a ∼400MW gas and steam power plant. The results indicate that the flow patterns from the large scale fans results in a severe inhomogeneous distribution of cooling on the condenser fins. These region of high and low velocity are closely related to the outlet flow pattern from the fans, where in the hub region the air mass flow rate is reduced, while in the tip region it is increased. These measurements provide an excellent basis for both understanding the existing deficiencies of the A-frame designs and moreover provide direction for improved designs in the future.

scholarly journals GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA

2021 ◽  
Vol XLIV-M-3-2021 ◽  
pp. 83-87
Author(s):  
K. T. N. Ihsan ◽  
A. D. Sakti ◽  
K. Wikantika
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Urban Areas ◽  
Power Plants ◽  
Solar Power ◽  
Solar Pv ◽  
Energy Needs ◽  
The World ◽  
The City ◽  
Rooftop Solar

Abstract. Increasing the production of clean and environmentally friendly energy has become one of the world agendas as a strategic effort in dealing with long-term climate change. Seeing the potential of the energy produced, the ease in the installation process, with the small risk of harm generated, solar energy has received significant attention from many countries in the world. The potential for solar energy in Indonesia alone reaches 207 GWp, but only 145.81 MWp has been utilized. Currently, the Indonesian government has set a target to build a Solar Power Plant capacity in 2025 of 6.5 GWh. Urban areas are areas with higher energy demand than rural areas, but the availability of vacant land in urban areas is very minimal for installing solar power plants. Therefore, rooftop solar PV(Photovoltaic) can be a solution in dense areas such as cities. Good planning by looking at the potential resources and energy needs in spatial is needed to manage and utilize energy optimally and sustainably in urban areas. This study aims to develop a geospatial assessment for plan smart energy city that uses rooftop solar PV's potential energy in every building that is effective and efficient. The novelty in the analysis of the distribution of the potential for rooftop solar PV development in urban areas integrates meteorological and spatial aspects and socio-economic aspects. Integration of multi-dynamic spatial data uses in determining the rooftop solar PV construction location, such as meteorological data for solar energy potential, increasing energy needs of each building, and socio-economy data. The data source used comes from statistical data and remote sensing data. The analysis will be carried out temporally (2008, 2013, and 2018) to see the pattern of changes in aspects used in a certain period so that the development plan can be carried out more optimally. This research's output is the formation of a priority analysis of solar PV rooftop construction in urban areas, especially the city of Bandung. The result of energy can also produce by the construction of rooftop solar PV in a potential area. This research is expected to be utilized by policymakers to develop renewable energy in the city of Bandung and increase community participation in switching to renewable energy.

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