Article
Energy & Fuels
Xiaobing Xiao, Yue Li, Xiaomeng He, Yongxiang Cai, Yong Xiao, Boyang Huang, Xin Jin
Summary: To achieve intelligent management of photovoltaic power generation system, wireless sensor network (WSN) is considered as a promising solution. However, the limited energy and security issues of sensor nodes in WSN pose challenges. This paper comprehensively considers various factors affecting the security and efficiency of WSN, and proposes an optimization algorithm to improve secure rate and energy efficiency. The algorithm utilizes Block Coordinate Descent (BCD) technology for the optimal solution, ensuring the security and reliability of monitoring.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Computer Science, Hardware & Architecture
Abderrahim Derdar, Nadia Bensiali, Mohamed Adjabi, Nadir Boutasseta, Mohammed Salah Bouakkaz, Issam Attoui, Nadir Fergani, Ahmed Bouraiou
Summary: This paper proposes a monitoring and performance optimization approach for photovoltaic energy conversion systems. An Adaptive Network Fuzzy Inference System (ANFIS) based model is used to detect abnormal operation by comparing the residual between the actual state and the output of the ANFIS model. A switching mechanism is designed to switch between maximum power extraction technique and metaheuristic algorithm based on the operation mode. Experimental results show that the proposed approach improves the efficiency of the photovoltaic energy conversion system in different environmental conditions.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2022)
Article
Energy & Fuels
Yuanzhi Gao, Bo Chen, Dongxu Wu, Zhaofeng Dai, Changling Wang, Xiaosong Zhang
Summary: This study compares different configurations of solar power generation systems and investigates the use of flat heat pipe as a heat sink in photovoltaic systems, solar thermoelectric generator systems, bifacial-photovoltaic-solar thermoelectric generator systems, and tandem-photovoltaic-solar thermoelectric generator systems. It is found that the bifacial-photovoltaic-solar thermoelectric generator system performs the best in terms of electrical power output, while the solar thermoelectric generator system has the potential for improvement. Additionally, using nanofluid improves energy and exergy performance.
Article
Engineering, Electrical & Electronic
Filippo Battaglia, Giovanni Gugliandolo, Giuseppe Campobello, Nicola Donato
Summary: Recent advancements in wireless communication protocols have led to the development of wearable devices and sensor networks for health monitoring and diagnostics. This article focuses on a new architecture called EEG-over-Bluetooth low energy (BLE) that offers low power consumption for multichannel EEG. The proposed architecture utilizes a low-power analog front-end (AFE) for EEG signals and a system-on-chip (SoC) that supports the Bluetooth 5.0 protocol. It also introduces an efficient EEG compression algorithm and a simplified channel encoding scheme for improved energy consumption and network performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Multidisciplinary Sciences
Rongjin Yang, Xuejie Hao, Long Zhao, Lizeyan Yin, Lu Liu, Xiuhong Li, Qiang Liu
Summary: This paper develops an IPV6-based high-spatial-temporal precision air pollutant monitoring and early warning platform, and verifies the feasibility of the system through data analysis and comparison, providing technical support and decision guidance.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Yousif R. Al-Saadi, Monaf S. Tapou, Areej A. Badi, Shahab Abdulla, Mohammed Diykh
Summary: This paper presents an autonomous dual-axis smart solar tracking system that can automatically adjust the position of PV panels anywhere in the world to optimize energy output. The system, which integrates a microcontroller, GPS, digital compass, and gyro orientation sensor, accurately tracks the sun with minimal power consumption.
Article
Chemistry, Multidisciplinary
Zisis Tsiropoulos, Ioannis Gravalos, Evangelos Skoubris, Vladislav Poulek, Tomas Petrik, Martin Libra
Summary: Wireless sensor networks have been widely used in various fields over the past few years, but the power supply to the sensor nodes remains an issue. This study compares the effects of traditional batteries and solar energy harvesters on soil water monitoring sensor nodes, and finds that solar energy harvesters outperform batteries in outdoor and continuous operation applications.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Civil
Stefano Cii, Gisella Tomasini, Maria Laura Bacci, Davide Tarsitano
Summary: The objective of this work is to design and test a wireless sensor network powered by solar energy for on-board monitoring operations on freight trains. Each wireless sensor node is independently powered by a small solar panel. The data is transmitted to an on-board control unit and communicated to a ground central control unit through the internet for monitoring purposes.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Marco Pierro, Richard Perez, Marc Perez, Matteo Giacomo Prina, David Moser, Cristina Cornaro
Summary: This work presents a progressive strategy to achieve 100% penetration of intermittent renewables by transforming them into effectively dispatchable generation sources, displacing conventional generation at minimal cost. The pathway for a full renewable energy transition of the Italian electric mix is delineated based on addressing net load forecast imbalances resulting from renewables' prediction errors.
Article
Chemistry, Analytical
Jicheng Guo, Nathaniel Hoyt, Mark Williamson
Summary: The study demonstrates a corrosion monitoring system for molten mixtures, which can effectively prevent corrosion of high-temperature alloys in CSP systems, ensuring long-term operation of the system. The sensors have high accuracy and can quantitatively detect corrosion products and impurities, identifying issues and taking measures promptly.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2021)
Article
Thermodynamics
Sara Borhani, Alibakhsh Kasaeian, Peyman Pourmoghadam, Mahmoud Omid
Summary: The goal of this research is to study a trigeneration solar system that can meet household energy demands. A reliable network is trained to forecast the system's functionality under different weather conditions, replacing the time-consuming simulation process. The research shows that warm regions like Ahwaz province have the most suitable weather conditions to effectively utilize the system.
APPLIED THERMAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
O. T. Huxley, J. Taylor, A. Everard, J. Briggs, K. Tilley, J. Harwood, A. Buckley
Summary: The measurement of near real-time national solar PV electricity output is crucial for managing electricity systems. Currently, national PV output is indirectly measured by upscaling the output from a sample of reference PV systems using an estimate of the national capacity. However, there are uncertainties in these measurements, particularly in the capacity error. To improve accuracy, nations must develop a comprehensive approach to PV system registration and explore alternative methods for estimating PV capacity.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Mingke Hu, Bin Zhao, Suhendri, Xianze Ao, Jingyu Cao, Qiliang Wang, Saffa Riffat, Yuehong Su, Gang Pei
Summary: This paper provides a comprehensive review of the history and recent advancements in the application of radiative cooling in various types of solar energy systems. It also discusses the challenges and opportunities in combining solar energy harvesting and radiative cooling.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Honglian Li, Xi He, Yao Hu, Wen Lv, Liu Yang
Summary: This paper investigates the estimation of hourly solar radiation using neural network algorithms and validates the accuracy of the model. The results show that the proposed method can solve the problem of limited radiation data and provide new insights for building energy efficiency research in areas with missing radiation data.
Article
Thermodynamics
Jiaxuan Jing, Yong Zhou, Lingyu Wang, Yanfeng Liu, Dengjia Wang
Summary: This study aims to fill the gaps in global solar radiation data by using limited data from 85 meteorological observation stations and routine meteorological data from 2001 stations. The spatial distribution of global solar radiation and diffuse solar radiation is obtained using the Inverse Distance Weighing model. The optimum tilt angle of photovoltaic systems is calculated using the Collares-Pereira and Rabl hourly solar radiation model and the solar radiation on sloped surfaces model. The results show the range of annual global solar radiation and diffuse solar radiation in China, as well as the optimal tilt angle and photovoltaic power generation potential.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Chemistry, Analytical
Maria C. Bueso, Jose Miguel Paredes-Parra, Antonio Mateo-Aroca, Angel Molina-Garcia
Summary: This paper proposes a methodology for short-term solar power generation forecasting using LoRa-based PV monitoring, and evaluates the influence of LoRa parameters on forecasting accuracy through sensitivity analysis.
Article
Chemistry, Analytical
Jose Miguel Paredes-Parra, Raquel Jimenez-Segura, David Campos-Penalver, Antonio Mateo-Aroca, Alfonso P. Ramallo-Gonzalez, Angel Molina-Garcia
Summary: With the rapid changes in power system configuration and performance, grids are now being influenced by microgeneration systems connected in low and medium voltage. However, these facilities often provide little to no information to distribution and transmission system operators, causing management problems. This paper proposes a monitoring solution using IoT technologies to address these issues, specifically for photovoltaic self-consumption installations. Field tests show that the proposed solution provides reliable and accurate results, making it a popular choice for those who cannot afford professional monitoring platforms.
Review
Engineering, Electrical & Electronic
Ana Fernandez-Guillamon, Eduard Muljadi, Angel Molina-Garcia
Summary: This paper provides extensive and significant information on models and parameters for frequency control and grid stability studies, and presents an analysis of supply-side and power system modeling over the last decade.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Patricia Maldonado-Salguero, Maria Carmen Bueso-Sanchez, Angel Molina-Garcia, Juan Miguel Sanchez-Lozano
Summary: This study proposes a methodology to characterize and cluster spatio-temporal solar resource variability through global horizontal irradiance analysis. The study selected Spain as a case study and evaluated spatial variability and geographical clustering differences of solar resources in different time windows. The research findings contribute to understanding the spatiotemporal variations of solar resources in Spain.
Article
Chemistry, Analytical
Rafael Martinez-Sanchez, Angel Molina-Garcia, Alfonso P. Ramallo-Gonzalez, Juan Sanchez-Valverde, Benito Ubeda-Minarro
Summary: Since the first hybrid vehicle launched in 1997, the number of discarded NIMH batteries has been continuously increasing, particularly due to the decline of hybrid vehicles in the market. The recycling of NIMH and Li-ion batteries, commonly used in hybrid and pure electric vehicles respectively, poses challenges due to hazardous materials. To address this, a low-cost system based on IoT technology is developed to characterize individual cells of commercial electric vehicle batteries, reducing regeneration costs and providing a sustainable solution. The results demonstrate the effectiveness of this system in characterizing individual cells for future electric vehicle applications, offering cost savings and an autonomous, flexible, and reliable system.
Article
Environmental Sciences
Marta Doval-Minarro, Maria Carmen Bueso
Summary: The management of the COVID-19 pandemic has had a positive impact on air quality. However, as activities return to normal, air pollutant concentrations are expected to rise again. This study analyzed the concentrations of various pollutants at different locations in southeast Spain from 2016 to 2021 and found that PM10 and SO2 concentrations remained relatively stable, while SO2 concentrations slightly increased in the urban area in 2021. NO and NO2 concentrations were lower in 2020 than in previous years, and the increase in O-3 concentrations was observed in VOC-limited areas.
Article
Engineering, Multidisciplinary
Juan Sanchez-Valverde, Alfonso P. Ramallo-Gonzalez, Rafael Martinez-Sanchez, Angel Molina-Garcia, Antonio F. Skarmeta
Summary: The electrification of transport has led to increased focus on electrical energy storage. Multiple battery technologies exist, but they all rely on modular banks connected to provide the required voltage for various applications. The chemical processes within these modules can impact the battery's lifespan, necessitating management systems to control their usage. This study proposes an IoT platform that can effectively manage multi-modular battery banks, offering numerous possibilities for users and developers. A demonstrated use case showcases the platform's ability to manage a real battery bank, providing real-time data and utilizing an intelligent algorithm to forecast and control the charging process within acceptable ranges.
RESULTS IN ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Isabel C. Gil-Garcia, Ana Fernandez-Guillamon, M. Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: Traditional face-to-face learning is being replaced or combined by virtual and digital campuses, with a variety of online activities such as H5P becoming more interactive and creative teaching strategies. A comparison between traditional online and interactive H5P activities was conducted, showing that while there was no significant improvement in average grades, students found the interactive H5P activity easier to do and felt more motivated. Teachers also noted positive effects on student participation and motivation. These results highlight the importance of incorporating digital methods alongside traditional approaches to meet the diverse needs of students.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
(2023)
Article
Green & Sustainable Science & Technology
Isabel C. Gil-Garcia, Adela Ramos-Escudero, Angel Molina-Garcia, Ana Fernandez-Guillamon
Summary: This paper presents a combined approach based on GIS and MCDM methodology to optimize the selection of offshore wind farm locations. The results indicate the importance of considering technical, social, environmental, stakeholder, and political factors in promoting offshore wind energy projects.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Food Science & Technology
Marina Cano-Lamadrid, Lorena Martinez-Zamora, Noelia Castillejo, Maria Carmen Bueso, Mathieu Kessler, Francisco Artes-Hernandez
Summary: This research investigates the effect of different ultrasound-assisted extraction conditions on the extraction yield of key components in two cultivars of pomegranate. The study finds that freeze-dried samples have higher extraction yield compared to convectively dried samples. Additionally, factors such as drying method, cultivar, particle size, and extraction temperature also influence the extraction yield.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Construction & Building Technology
Julian Perez-Navarro, Maria Carmen Bueso, Gemma Vazquez
Summary: The research aimed to analyze the drivers and barriers in the energy renovation process and the utilization of existing subsidies. There is a strong drive for energy renovation in buildings. The study developed a questionnaire using LimeSurvey software and evaluated it with experts. The results showed that excessive bureaucratic requirements, economic aspects, and owners' lack of awareness were the major barriers identified by the respondents. The study also found that economic savings and noise insulation were the main motivations for energy renovation.
Article
Food Science & Technology
Noelia Dos-Santos, Maria C. Bueso, Aurora Diaz, Eduard Moreno, Jordi Garcia-Mas, Antonio J. J. Monforte, Juan Pablo Fernandez-Trujillo
Summary: The effect of QTL ETHQB3.5 on fruit VOC composition in climacteric ripening was studied using NILs with overlapping introgressions from the Korean accession PI 16375. The study found that VOC composition and climacteric ripening are co-segregated, indicating a pleiotropic effect of ETHQB3.5. Additionally, other genes controlling non-climacteric ripening VOCs were identified.
Article
Thermodynamics
Amanda Prado de Nicolas, Angel Molina-Garcia, Francisco Vera-Garcia
Summary: The demand for freshwater in arid and semi-arid regions has led to the need for desalination of seawater and groundwater. To address the issue of reject brine from this process, a zero-liquid discharge cooling tower technology was proposed. A model was developed to assess its operation and potential implementation in different locations, and experimental data was used to validate the simulation's reliability. The results showed that the induced draft cooling tower system offers a sustainable and efficient solution for treating reject brine in water-stressed regions, especially in arid and semi-arid areas.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Electrical & Electronic
M. C. Bueso, A. Molina-Garcia, A. P. Ramallo-Gonzalez, A. Fernandez-Guillamon
Summary: This paper proposes an alternative method for characterizing vertical wind speed profiles based on Ward's agglomerative clustering algorithm, which provides a more accurate and complete wind speed vector characterization for vertical profiles. The methodology is evaluated using a real wind speed database and demonstrates its feasibility.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
