Iran with 300 sunny days in more than two thirds of its land is among the countries with high potential of solar energy. Nevertheless, to date no research has been conducted on status of solar exergy in Iran. In this study, in order to expand the perception of solar energy quality and to compensate the lack of research on solar radiation exergy in Iran, long term meteorological and solar data of eight capital provinces of Iran with five different climatic conditions are utilized. These properly distributed stations include Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan. The monthly average daily solar radiation exergy on a horizontal surface for each station is obtained first, then it is recognized that the ratio of exergy to energy is almost independent of the month, the climatic condition and the geographical location; thus, can be considered 0.87 for the whole Iran. For predicting the solar exergy at every station, five empirical models with linear, quadratic, cubic, exponential and power functional forms, all dependent only on relative sunshine duration, are calibrated. Then, eight statistical indicators are utilized to evaluate the performance of the established models for every capital province. The best models recognized for Urmia, Bushehr, Isfahan, Ilam, Kerman, Mashhad, Zahedan and Zanjan have cubic, power, exponential, exponential, linear, quadratic, power and cubic functional forms, respectively. These models are simple and easy to apply and can be also utilized for other places with similar climatic classification and conditions.
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http://dx.doi.org/10.1016/j.heliyon.2020.e05638 | DOI Listing |
Sci Rep
January 2025
Department of Mechanical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran.
This article introduces an innovative multipurpose system that integrates a solar power plant with a coastal wind farm to generate refrigeration for refinery processes and industrial air conditioning. The system comprises multiple wind turbines, solar power plants, the Kalina cycle to provide partial energy for the absorption refrigeration cycle used in industrial air conditioning, and a compression refrigeration cycle for propane gas liquefaction. An extensive energy and exergy analysis was conducted on the proposed system, considering various thermodynamic parameters such as the solar power plant's energy output, the absorption chiller's cooling load, the electricity generated by the turbines, the wind turbines' power output, and the energy efficiency and exergy of each cycle within the system.
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January 2025
Computational Data Science Program, College of Computational and Natural Science, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
This study presents an in-depth analysis and evaluation of the performance of a standard 200 W solar cell, focusing on the energy and exergy aspects. A significant research gap exists in the comprehensive integration of numerical models with advanced machine-learning approaches, specifically emotional artificial neural networks (EANN), to simulate and optimize the electrical characteristics and efficiency of solar panels. To address this gap, a numerical model alongside a novel EANN was employed to simulate the system's electrical characteristics, including open-circuit voltage, short-circuit current, system resistances, maximum power point characteristics, and characteristic curves.
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December 2024
Department of Mechanical Engineering, Imam Khomeini International University, Ghazvin, Iran.
This research focuses on designing an energy storage system using phase change material (PCM) in the air-conditioned zone, integrated with an air handling unit (AHU). The proposed system introduces a novel approach to reducing energy consumption in buildings by incorporating a solar heating coil and PCM. Through detailed energy and exergy analyses, the study evaluates the AHU's performance and optimises the thickness and position of the PCM layer using genetic algorithm (GA) optimisation.
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December 2024
Department of Mechanical and Aerospace Engineering, School of Engineering, University of Petroleum & Energy Studies (UPES), Dehradun, Uttarakhand, 248007, India.
This numerical investigation examines the performance and exergy analysis of parabolic trough solar collectors, focusing on the substitution of the conventional circular absorber with a rhombus-shaped absorber. By evaluating the thermal and fluid dynamics properties, this study aims to identify improvements in overall system performance and efficiency. This numerical study conducts a comprehensive thermal analysis of parabolic trough solar collectors by comparing a rhombus-shaped absorber with a conventional circular absorber.
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November 2024
Department of Electrical Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.
Integrating solar energy systems is an essential measure in advancing worldwide sustainability objectives and offers a sustainable, environmentally friendly approach to reducing greenhouse gas emissions and pollutants. To this direction, the proposed system integrating solar tower collector, supercritical CO, organic Rankine cycle, and single effect absorption refrigeration cycles shows potential as an efficient and sustainable solution for meeting energy and cooling demands. A detailed thermodynamic evaluation has been performed to gain valuable understanding of the energy and exergy performance, enabling the assessment of thermal and exergy efficiencies, exergy destructions, and heat losses.
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