Mohammadreza Aghaei

The proposed Intelligent Monitoring System (IMS) for Photovoltaic (PV) systems is a cost-effective and easy-to-implement solution for monitoring large-scale PV power plants. It utilizes IoT for data handling and communication and includes a personal cloud server for data computation and storage. The IMS also has a web monitoring system through open...

The present study introduces a novel approach employing weightless neural networks (WNN) for the detection and diagnosis of visual faults in photovoltaic (PV) modules. WNN leverages random access memory (RAM) devices to simulate the functionality of neurons. The network is trained using a flexible and efficient algorithm designed to produce consist...

In the thermal industry, one common way to transfer heat between hot tubes and cooling fluid is using cross-flow heat exchangers. For heat exchangers, microscale coatings are conventional safeguards for tubes from corrosion and dust accumulation. This study presents the hypothesis that incorporating domain knowledge based on governing equations can...

Cross flow heat exchangers are commonly used in the thermal industry to transfer heat from hot tubes to cooling fluid. To protect the heat exchanger tubes from corrosion and dust accumulation, microscale coatings are often applied. In this study, we present machine-learning models for predicting heat transfer from hot tubes with different micro-siz...

p>This manuscript is the preprint version of a conference paper that is accepted for presentation and publication, International Conference on Future Energy Solutions (FES2023) to be held in Vaasa, Finland, 12-14, June 2023.</p

p>This manuscript is the preprint version of a conference paper that is accepted for presentation and publication, International Conference on Future Energy Solutions (FES2023) to be held in Vaasa, Finland, 12-14, June 2023.</p

Long‐term reliability assessment of photovoltaic (PV) modules is key to ensuring the economic viability of PV systems. This paper presents a multi‐pronged performance degradation analysis of a 62.1 kWp solar PV power plant after 9.5 years of operation. For this purpose, various diagnosis techniques, namely, visual inspection, infrared thermography...

As large-scale Photovoltaic (PV) power plants are being expanded in installation number and capacity, aerial infrared thermography (aIRT) has proven to be effective in detecting at different phases of their development, construction and commissioning to operation and maintenance. However, evaluating the aerial imagery over hundreds of hectares fiel...

Conventional protection devices may not be able to diagnose the faults in Photovoltaic (PV) systems due to the nonlinear behavior of PV characteristics, its dependency on the operating environment, and operation of Maximum Power Point Tracking (MPPT) algorithms. To date, numerous studies have been carried out to overcome this challenge through Arti...

As the demand for sustainable and efficient energy solutions continues to grow, researchers worldwide are making significant strides in various domains of energy research. Recognising the future leaders of Energy Research is fundamental to safeguarding tomorrow’s driving force in innovation. This Research Topic aims to provide a comprehensive over...

Here, nitrogen doped molybdenum disulfide quantum dots (N-MoS2 QDs) are fabricated by making use of the pulsed laser ablation (PLA) process in liquid nitrogen (LN2) as a dopant agent. In fact, LN2 contributes the rapid condensation of the plasma plume to form MoS2 QDs, optimizing the conditions for the synthesis of N-doped MoS2 with p-type property...

In this paper, a novel embedded software package, called RoboPV, is introduced for autonomous aerial monitoring of large-scale photovoltaic (PV) plants. RoboPV enables aerial robots to automatically perform aerial monitoring of PV plants, from optimal trajectory planning to real-time fault detection using deep neural network models. This software p...

A homemade spectral shift fluorescence microscope (SSFM) is coupled with a spectrometer to record the spectral images of specimens based on the emission wavelength. Here a reliable diagnosis of neoplasia is achieved according to the spectral fluorescence properties of ex-vivo skin tissues after rhodamine6G (Rd6G) staining. It is shown that certain...

The present study proposes an ensemble-based deep neural network (DNN) model for autonomous detection of visual faults such as glass breakage, burn marks, snail trail, and discoloration, delamination on various photovoltaic modules (PVM). The proposed technique utilizes an image dataset captured by RGB (Red, Green, Blue) camera mounted on an unmann...

This book includes up-to-date and detailed information on fundamental principles, measurement, modeling, and forecasting of solar radiation for technologies and applications of photovoltaic (PV) solar energy. The book also presents basic, modern, and contemporary knowledge and techniques of reliability and performance assessment for PV systems. It...

Silicon, as the most abundant element in the earth's crust and the most common material used in electronic and optical equipment, has attracted the attention of many individuals to change the properties of this material, improving its electronic and optical properties. One of these efforts relies on the reduction of surface reflection by making use...

This study explores the current-voltage characterization of tungsten disulfide Nano-Flakes (WS2 NFs) Field-Effect-Transistor (FET) under various temperatures with a simple back-gate device structure. Due to the non-toxic nature of inorganic perovskite CsGeBr3 (CGB), this material is applied to fabricate a CGB/WS2 FET by drop-casting of lead-free pe...

Here, we investigate the annual variations of particulate matter (PM) levels for Tehran megacity during 2018, using ground-based measurements and remotely sensed data, taken from CALIOP space-borne lidar and MODIS-Aqua sensor. Furthermore, the aerosol types of Tehran are determined against three other megacities, namely Delhi, Helsinki and Calgary....

At the beginning of 2022, photovoltaic (PV) installation exceeded 1 TWp which was an impressive milestone in the solar energy industry [...]

In this chapter, we introduce the physic principle and applications of bifacial PV technology. We present different bifacial PV cell and module technologies as well as investigate the advantages of using bifacial PV technology in the field. We describe the measurement and modeling of Albedo, which is one of the important factors for the energy yiel...

A homemade spectral shift fluorescence microscope (SSFM) is coupled with a spectrometer to record the spectral images of specimens based on the emission wavelength. Here a reliable diagnosis of neoplasia is achieved according to the spectral fluorescence properties of ex-vivo skin tissues after Rd6G staining. It is shown that certain spectral shift...

A comprehensive understanding of failure modes of solar photovoltaic (PV) modules is key to extending their operational lifetime in the field. In this review, first, specific failure modes associated with mature PV technologies, such as crystalline silicon (c‐Si), copper indium gallium selenide (CIGS) and cadmium telluride (CdTe), are framed by sou...

This paper proposes an Intelligent Monitoring System (IMS) for Photovoltaic (PV) systems using affordable and cost-efficient hardware and also lightweight software that is capable of being easily implemented in different locations and having the capability to be installed in different types of PV power plants. IMS uses the Internet of Things (IoT)...

COST Action PEARL PV Conference: Enabling The PV Terawatt Transition

In recent years, aerial infrared thermography (aIRT), as a cost-efficient inspection method, has been demonstrated to be a reliable technique for failure detection in photovoltaic (PV) systems. This method aims to quickly perform a comprehensive monitoring of PV power plants, from the commissioning phase through its entire operational lifetime. Thi...

The optical and electrical performances of varied configurations of visually attractive mosaic cubical luminescent solar concentrator photovoltaic (LSC PV) devices have been measured. These new designs of LSC PV devices consist of four cubical lightguides containing commercially available fluorophores with edge‐ and bottom‐mounted silicon solar cel...

The degradation of photovoltaic (PV) systems is one of the key factors to address in order to reduce the cost of the electricity produced by increasing the operational lifetime of PV systems. To reduce the degradation, it is imperative to know the degradation and failure phenomena. This review article has been prepared to present an overview of the...

In this paper, a novel software package, called RoboPV, is introduced for autonomous aerial monitoring of PV plants. RoboPV automatically performs aerial monitoring of PV plants, from optimal trajectory planning to image processing and pattern recognition for real-time fault detection and analysis. RoboPV consists of four integrated components: bou...

In this article, various design configurations of luminescent solar concentrator photovoltaic (LSC-PV) devices have been simulated using Monte Carlo raytracing. These LSC PV devices are composed of mono-crystalline silicon solar cells and cubical poly (methyl methacrylate) lightguides, each containing one of the following dyes: Lumogen F Red 305, L...

A novel structure is proposed for single heterojunction solar cells based on n-type molybdenum disulfide (MoS2) and tungsten disulfide (WS2) deposited on p-type silicon substrate using thermal chemical vapor deposition. Moreover, the coupled heterostructures namely MoS2/WS2 and WS2/MoS2 are prepared by the same method. The main aim of this study is...

Presented at Training School on “Simulation tools and models for the analysis of PV system performance”, EU COST Action PEARL PV

This study presents an autonomous fault detection method for a wide range of common failures and defects which are visually visible on PV modules. In this paper, we focus especially on detection of bird’s drops as a very typical defect on the PV modules. As a crucial prerequisite, a data-set of aerial imageries of the PV strings affected by bird’s...

The greenhouse industry is an energy-intensive sector with a heavy reliance on fossil fuels, contributing to substantial greenhouse gas (GHG) emissions. Addressing this issue, the employment of energy-saving strategies along with the replacement of conventional energy sources with renewable energies are among the most feasible solutions. Over the l...

Line-Line (LL) and Line-Ground (LG) faults may not be detected by common protection devices in PV arrays due to these faults are not detectable under high fault impedance and low mismatch level. In recent years, many efforts have been devoted to overcome these challenges using intelligent methods. However, these methods could not classify the type...

The uptime of utility-scale solar photovoltaic (PV) power plants is of utmost importance for meeting contractual energy yields and expected capacity factors. Aerial Infrared Thermography (aIRT) is a non-destructive, no-downtime, fast and cost-effective method for monitoring large-scale PV power plants and assisting in fault detection. The use of aI...

The fault diagnosis of photovoltaic (PV) arrays aims to increase the reliability and service life of PV systems. Line-Line (LL) faults may remain undetected under low mismatch level and high impedance due to low currents of faults, resulting in power losses and fire potential disaster. This paper proposes a novel and intelligent fault diagnosis met...

Photovoltaic (PV) monitoring and fault detection are very crucial to enhance the service life and reliability of PV systems. It is difficult to detect and classify the faults at the Direct Current (DC) side of PV arrays by common protection devices, especially Line-to-Line (LL) faults, because such faults are not detectable under high impedance fau...

Reliability assessment of Photovoltaic (PV) modules is very crucial to increase the service lifetime of PV systems. This study assesses the degradation rate and reliability of PV modules operated for twelve years under the tropical climatic condition in sub-Saharan. For this purpose, various characterization techniques, namely visual inspection, in...

A solar photovoltaic (PV) system includes the main components of PV modules, a solar inverter, and a bias of system (BoS), which can generate AC and DC power. However, the desired efficiency of PV systems relies on many factors as well as understanding the component functionality and configuration. Moreover, comprehension of the monitoring techniqu...

This article presents a novel method for boundary extraction of photovoltaic (PV) plants using a fully convolutional network (FCN). Extracting the boundaries of PV plants is essential in the process of aerial inspection and autonomous monitoring by aerial robots. This method provides a clear delineation of the utility-scale PV plants’ boundaries fo...

In this study, a novel configuration for luminescent solar concentrator photovoltaic (LSC PV) devices is presented, with vertically placed bifacial PV solar cells made of mono-crystalline silicon (mono c-Si). This LSC PV device comprises multiple rectangular cuboid lightguides, made of poly (methyl methacrylate) (PMMA), containing Lumogen dyes, in...

PV power plants, so-called grid-connected PV systems, generate AC power for various applications, besides the electricity supply for grid networks. PV power plants are classified into small-scale PV systems (e.g., 1–100 kW) that are used for commercial and residential rooftops and utility-scale PV systems (e.g., > 100 kW), namely ground-mounted sys...

Nowadays, scientists are researching new concepts and emerging PV technologies in order to increase the potential of PV applications as well as integration into numerous fields, including mobility, built-in environment, and society, where it can be more tangible in general public services. This chapter discusses building-integrated photovoltaics (B...

Precision forecasting of Photovoltaic (PV) output power is very required for the safe performance of the electricity grid and also it leads to reducing the operating expenses of PV systems. The main objective of this paper is to predict simultaneously the output power of PV systems for the next days by using previous performance data of PV systems....

The aim of this work is to develop an algorithm, which condenses datasets of important electrical parameters of solar modules, from indoor or outdoor measurements, into four predictors (per parameter) and, based on this, to calculate or estimate the expected electrical parameters of the evaluated module for arbitrary illuminations and temperatures....

Infrared thermography (IRT) has been applied as an effective tool for detecting faults in PV modules. In addition, with the recent development of Unmanned Aerial Vehicles (UAV), they have been used in order to increase the cost-effectiveness and employ IRT for large-scale PV plants or roof-mounted PV systems. With the goal of demonstrating the capa...