Techno-economic feasibility analysis of 1 MW photovoltaic grid connected system in Oman

Summary The aim of this research is to analyze the techno‐economic performance of hybrid renewable energy system (HRES) using batteries, pumped hydro‐based, and hydrogen‐based storage units at Sharurah, Saudi Arabia. The simulations and optimization process are carried out for nine HRES scenarios to determine the optimum sizes of components for each scenario. The optimal sizing of components for each HRES scenario is determined based on the net present cost (NPC) optimization criterion. All of the nine optimized HRES scenarios are then evaluated based on NPC, levelized cost of energy, payback period, CO2 emissions, excess electricity, and renewable energy fraction. The simulation results show that the photovoltaic (PV)‐diesel‐battery scenario is economically the most viable system with the NPC of US$2.70 million and levelized cost of energy of US$0.178/kWh. Conversely, PV‐diesel‐fuel cell system is proved to be economically the least feasible system. Moreover, the wind‐diesel‐fuel cell is the most economical scenario in the hydrogen‐based storage category. PV‐wind‐diesel‐pumped hydro scenario has the highest renewable energy fraction of 89.8%. PV‐wind‐diesel‐pumped hydro scenario is the most environment‐friendly system, with an 89% reduction in CO2 emissions compared with the base‐case diesel only scenario. Overall, the systems with battery and pumped hydro storage options have shown better techno‐economic performance compared with the systems with hydrogen‐based storage.

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“…It is important to have high converter efficiency. The efficiency of the converter is given by the following expression:

η_{conv} = \frac{P_{in_conv} ((), t) - P_{loss} ((), t)}{P_{in_conv} ((), t)}

…”

Section: Basic Mathematical Modeling Of System Componentsmentioning

confidence: 99%

Performance analysis of various hybrid renewable energy systems using battery, hydrogen, and pumped hydro‐based storage units

et al. 2018

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“…Several research groups from variable countries (Turkey, 6 Spain, 7 United Arab Emirates (UAE), 8 Oman, 9 and Kuwait 10,11 ) conducted an economic, technical evaluation of a PV system connected to the network. The researchers presented an analytical presentation of weather data for the area where the system has been constructed.…”

Section: Introductionmentioning

confidence: 99%

Experimental and deep learning artificial neural network approach for evaluating grid-connected photovoltaic systems

et al. 2019

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Summary This article evaluates a 1.4‐kW building integrated grid‐connected photovoltaic plant. The PV plant was installed in the Faculty of Engineering solar energy lab, Sohar University, Oman, and the system data have been collected for a year from July 2017 to June 2018. The grid‐connected system was evaluated in terms of power, energy, specific yield, capacity factor, and cost of energy, and payback period. The measured diffuse and global solar irradiations are 3289 and 6182 Wh/m2, respectively. Four predictive models (TLRN, FRNN‐1, FRNN‐2, and FRNN‐3) using deep learning approach based on RNN and TLRN were proposed to predict the PV current performance through data input of temperature (T) and solar irradiance (G). The experiment results found that the highest energy production, array, reference, and final yields are 245.8 kWh, 3.43 to 5.65 kWh/kWp‐day, 4.61 to 7.33 kWh/kWp‐day, and 3.24 to 4.82 kWh/kWp‐day, respectively. Meanwhile, CF, CoE, and PBP were found to be 21.7%, 0.045 USD/kWh and 11.17 years, respectively. The highest performance for prediction models were found for FRNN‐2 and FRNN‐3 due to they exhibit lower MSE which means being tightly fitted to experiments.

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“…Mandal and Panja [7] considered a 1 kWp (kilowatt peak) small scale grid connected solar photovoltaic system to evaluate the feasibility of rooftop solar photovoltaic system for School of Energy Studies Building at Jadavpur University, Kolkata, India. Kazem et al [8] investigated the optimal configuration for a 1 MW grid connected solar photovoltaic plant in Adam City, Oman. A viability analysis of three small photovoltaic systems located in different cities of Peru was discussed by Espinoza et al [9].…”

Section: Introductionmentioning

confidence: 99%

Bir Güneş Enerji Santrali Kurulumunun Yapılabilirlik Çalışması: Burdur Gölü, Türkiye Örneği

Kirbaş¹,

Çifci²

2019

El-Cezeri Fen Ve Mühendislik Dergisi

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Continuous growth in the increase of energy consumption in the world has triggered the issue of energy demand. This has led to a shift towards renewable energy sources. Solar energy is one of the renewable energy sources that will be a leading renewable energy source for electricity generation in the future. Generation of electricity through solar power plant is clean, environment-friendly and reliable. This study is done to evaluate the feasibility of grid connected solar power plant for the vicinity of Lake Burdur, Burdur, Turkey (Latitude: 37° 45′ N, Longitude: 30° 12′ E). This power plant to be established will be able to generate 2.013.000.000 kWh of electricity each year. This means contributing approximately 1.5 billion TL to the national economy every year. With an installed capacity of 1220 MW, it will be the largest solar power plant in the country.

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Techno-economic feasibility analysis of 1 MW photovoltaic grid connected system in Oman

Cited by 101 publications

References 28 publications

Performance analysis of various hybrid renewable energy systems using battery, hydrogen, and pumped hydro‐based storage units

Performance analysis of various hybrid renewable energy systems using battery, hydrogen, and pumped hydro‐based storage units

Experimental and deep learning artificial neural network approach for evaluating grid-connected photovoltaic systems

Bir Güneş Enerji Santrali Kurulumunun Yapılabilirlik Çalışması: Burdur Gölü, Türkiye Örneği

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