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%.

Evaluation of energy generation in Iraqi territory by solar photovoltaic power plants with a capacity of 20 MW

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Qusay Hassan ◽  
Saadoon Abdul Hafedh ◽  
Ali Hasan ◽  
Marek Jaszczur
Keyword(s):  
Experimental Data ◽  
Wind Speed ◽  
Power Plant ◽  
Ambient Temperature ◽  
Solar Irradiance ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Photovoltaic ◽  
Photovoltaic Power ◽  
Plant Capacity

Abstract The study evaluates the visibility of solar photovoltaic power plant construction for electricity generation based on a 20 MW capacity. The assessment was performed for four main cities in Iraq by using hourly experimental weather data (solar irradiance, wind speed, and ambient temperature). The experimental data was measured for the period from 1st January to 31st December of the year 2019, where the simulation process was performed at a 1 h time step resolution at the same resolution as the experimental data. There are two positionings considered for solar photovoltaic modules: (i) annual optimum tilt angle and (ii) two-axis tracking system. The effect of the ambient temperature and wind on the overall system energy generated was taken into consideration. The study is targeted at evaluating the potential solar energy in Iraq and the viability of electricity generation using a 20 MW solar photovoltaic power plant. The results showed that the overall performance of the suggested power plant capacity is highly dependent on the solar irradiance intensity and the ambient temperature with wind speed. The current 20 MW solar photovoltaic power plant capacity shows the highest energy that can be generated in the mid-western region and the lowest in the northeast regions. The greatest influence of the ambient temperature on the energy genrated by power plants is observed in the southern regions.

scholarly journals Performance and Economic Assessment of a Grid-Connected Photovoltaic Power Plant with a Storage System: A Comparison between the North and the South of Italy

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2356 ◽  
Author(s):  
Ferdinando Chiacchio ◽  
Fabio Famoso ◽  
Diego D’Urso ◽  
Luca Cedola
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Low Voltage ◽  
Storage System ◽  
Economic Feasibility ◽  
The South ◽  
Model Based ◽  
The North ◽  
Photovoltaic Power ◽  
Historical Series

Grid-connected low voltage photovoltaic power plants cover most of the power capacity installed in Italy. They offer an important contribution to the power demand of the utilities connected but, due to the nature of the solar resource, the night-time consumption can be satisfied only withdrawing the energy by the national grid, at the price of the energy distributor. Thanks to the improvement of storage technologies, the installation of a system of battery looks like a promising solution by giving the possibility to increase auto-consumption dramatically. In this paper, a model-based approach to analyze and discuss the performance and the economic feasibility of grid-connected domestic photovoltaic power plants with a storage system is presented. Using as input to the model the historical series (2008–2017) of the main ambient variables, the proposed model, based on Stochastic Hybrid Fault Tree Automaton, allowed us to simulate and compare two alternative technical solutions characterized by different environmental conditions, in the north and in the south of Italy. The performances of these systems were compared and an economic analysis, addressing the convenience of the storage systems was carried out, considering the characteristic useful-life time, 20 years, of a photovoltaic power plant. To this end the Net Present Value and the payback time were evaluated, considering the main characteristics of the Italian market scenario.

scholarly journals Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

2020 ◽  
Vol 12 (20) ◽  
pp. 3420 ◽  
Author(s):  
Alexandra I. Khalyasmaa ◽  
Stanislav A. Eroshenko ◽  
Valeriy A. Tashchilin ◽  
Hariprakash Ramachandran ◽  
Teja Piepur Chakravarthi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Power Plant ◽  
Power Plants ◽  
Machine Learning Algorithms ◽  
Solar Irradiation ◽  
Gradient Boosting ◽  
Forecasting Accuracy ◽  
Photovoltaic Power ◽  
Forecasting System ◽  
Industry Experience

This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on machine learning methods for a real industry-scale photovoltaic power plant implemented in a Russian power system using remote data acquisition. One of the goals of the study is to improve photovoltaic power plants generation forecasting accuracy based on open-source meteorological data, which is provided in regular weather forecasts. In order to improve the robustness of the system in terms of the forecasting accuracy, we apply newly derived feature introduction, a factor obtained as a result of feature engineering procedure, characterizing the relationship between photovoltaic power plant energy production and solar irradiation on a horizontal surface, thus taking into account the impacts of atmospheric and electrical nature. The article scrutinizes the application of different machine learning algorithms, including Random Forest regressor, Gradient Boosting Regressor, Linear Regression and Decision Trees regression, to the remotely obtained data. As a result of the application of the aforementioned approaches together with hyperparameters, tuning and pipelining of the algorithms, the optimal structure, parameters and the application sphere of different regressors were identified for various testing samples. The mathematical model developed within the framework of the study gave us the opportunity to provide robust photovoltaic energy forecasting results with mean accuracy over 92% for mostly-sunny sample days and over 83% for mostly cloudy days with different types of precipitation.

Study on Project of Photovoltaic Power Plant Connecting to the Grid

2013 ◽  
Vol 380-384 ◽  
pp. 3111-3114
Author(s):  
Yi Shi Shu ◽  
Li Li Ma ◽  
Chao Peng
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Large Scale ◽  
Pv System ◽  
Photovoltaic Generation ◽  
Large Capacity ◽  
Photovoltaic Power

Large scale photovoltaic generation is another way to generate electricity.When a large capacity PV system connected to the grid,much impact could be brought to the grid due to its uncertainty. In this paper, there are research and analysis about the technology and characteristics of the photovoltaic power plants connected to the grid, make a strong practical impacts.

Availability Study of Large Scale Grid Connected Photovoltaic Power Plants in Thailand

2016 ◽  
Vol 839 ◽  
pp. 44-48
Author(s):  
Phairot Phanukan ◽  
Nipon Ketjoy
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Large Scale ◽  
Plant Size ◽  
First Year ◽  
Photovoltaic Power ◽  
Commercial Operation ◽  
Large Scale Grid ◽  
Scale Grid

This article presents the availability of 4 large scale grid connected photovoltaic (PV) power plants that located in Petchaboon, Nakhon Sawan, and Chai Nat province of Thailand. These power plant size are 4.5 MW and 6.5 MW. In addition, they are constructed with the same platform, component, and commercial operation date (COD) in the same year. The data were collected during 1st August 2012 to 31st October 2014. The study result found that availability of these power plant is over 97 % every year except Nakhon Sawan 1 plant in the first year. The internal unavailability trend is quickly reduce while external unavailability is randomly fluctuation.

scholarly journals Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5305
Author(s):  
Saheli Sengupta ◽  
Aritra Ghosh ◽  
Tapas K. Mallick ◽  
Chandan Kumar Chanda ◽  
Hiranmay Saha ◽  
...  
Keyword(s):  
Power Plant ◽  
Energy Management ◽  
Power Plants ◽  
Economic Loss ◽  
Climatic Conditions ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Dust Deposition ◽  
Photovoltaic Power ◽  
Single Location

Solar energy is going to be a major component of global energy generation. Loss due to dust deposition has raised a great concern to the investors in this field. Pre-estimation of this reduced generation and hence the economic loss will help the operators’ readiness for efficient and enhanced economic energy management of the system. In an earlier article, a physics–based model is proposed for assessment of dust accumulation under various climatic conditions which is validated by data of a single location. In this paper, the universality of this model is established and is used to demonstrate the effect of generation loss due to dust deposition and of cleaning. Variation in the soiling pattern due to climatic covariates has also been studied. Generation loss is calculated for Solar Photovoltaic power plants of different capacities at various locations in India. Finally this model has also been extended to predict the generation accounting for the soiling loss in Photovoltaic system. All the calculated and predicted results are validated with the measured values of the above plants.

scholarly journals Investigation of Structural Voltage Stability in Tunisian Distribution Networks Integrating Large-Scale Solar Photovoltaic Power Plant

2020 ◽  
Vol 30 (13) ◽  
pp. 2050259
Author(s):  
Abdelaziz Salah Saidi
Keyword(s):  
Power Plant ◽  
Large Scale ◽  
Voltage Stability ◽  
Distribution Network ◽  
Differential Algebraic Equations ◽  
Load Flow ◽  
Transmission Network ◽  
Solar Photovoltaic ◽  
Dynamic Component ◽  
Photovoltaic Power

This research shows a structural voltage stability analysis of a distribution network incorporating large-scale solar photovoltaic power plant. Detailed modeling of the transmission network and photovoltaic systems is presented and a differential-algebraic equations model is developed. The resulting system state and load-flow Jacobian matrix are reorganized according to the type of the bus system in place of the standard injected complex power equations arrangement. The interactions among system buses for loading tests and solar photovoltaic power penetration are structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of the voltage strongly depends on fault short-circuit capacity of the power system at the bus, where, the solar system is integrated. The overall result, which encompasses the views from the presented transmission network integration studies, is a positive outcome for future grid integration of solar photovoltaic in the Tunisian system. Tunisia’s utilities policies on integration of solar photovoltaic in distribution network is expected to benefit from the results of the presented study. Moreover, given the huge potential and need for solar photovoltaic penetration into the transmission network, the presented comprehensive analysis will be a valuable guide for evaluating and improving the performances of national transmission networks of other countries too.

scholarly journals Site suitability analysis of Solar PV Power generation in South Gonder, Amhara Region

2020 ◽  
Author(s):  
Abraham Nebey ◽  
Biniyam Zemene ◽  
Tewodros Gera
Keyword(s):  
Power Plant ◽  
Rural Areas ◽  
Fossil Fuel ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Renewable Energy Resources ◽  
Suitability Analysis ◽  
Photovoltaic Power ◽  
The Government ◽  
Weighted Values

Abstract Currently, Ethiopian government looked towards renewable energy resources to generate electrical power for the country needs. 85% of the total population of the country live in rural areas and use wood and fossil fuel for their domestic uses. Using wood and fossil fuel is danger for users and the environment. And the government of Ethiopia planned to electrify 85% rural community with abundantly available renewable resources around the community. Therefore, identifying potential locations for solar Photovoltaic with geographic information system is a decision support tool for proposing the suitable sites to stakeholder. The solar Photovoltaic suitability analysis provides optimal locations to solar Photovoltaic power plant installations. To find suitable locations for Solar Photovoltaic , factors that affect the suitability were identified and weighted by using Analytical Hierarchy processes. Then the weighted values and reclassified values were multiplied together to produce the final suitability map to solar Photovoltaic. Due to site unsuitability, solar Photovoltaic the efficiency drops and may malfunction. By identifying the most suitable locations, solar PV power plant was optimally located. Therefore, the objective of this study was to find the most suitable sites in South Gonder Zone for generating power from solar Photovoltaic . The suitability of the study area for solar Photovoltaic power plant was 86.5%. Eighty six (86%) of the criteria considered in the study area was found to fulfill all the criteria to be suitable for solar Photovoltaic power plant. Most of the suitable areas were found in the western part of the zone. Nature topography is a key factor in generating solar energy; it affects the solar irradiance coming to the solar Photovoltaic panel surface.

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