Article
Green & Sustainable Science & Technology
Tahereh Gholaminejad, Ali Khaki-Sedigh
Summary: In this paper, a deep Model Predictive Control (MPC) method based on the Koopman operator is proposed to control the Heat Transfer Fluid (HTF) temperature in concentrated solar power plants. A deep Long Short-Term Memory (LSTM) autoencoder is designed to calculate Koopman eigenfunctions, which are used to convert a non-linear model to a Koopman-based linear model. The results of simulations demonstrate the satisfactory tracking performance of the proposed approach.
Article
Automation & Control Systems
Xian-hua Gao, Shangshang Wei, Minli Wang, Zhi-gang Su
Summary: This paper proposes an optimal disturbance predictive and rejection controller in a composite scheme to address the control challenges faced by the parabolic trough solar field (PTSF). By reconstructing field disturbances, estimating and predicting lumped disturbance sequence, and real-time correction of steady-state sequence, the proposed design demonstrates effective disturbance rejection and target tracking performance.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Green & Sustainable Science & Technology
Paula Chanfreut, Jose M. Maestre, Antonio Gallego, Anuradha M. Annaswamy, Eduardo F. Camacho
Summary: This paper proposes a clustering-based model predictive controller to optimize the heat transfer fluid (HTF) flow rates in solar parabolic trough plants. The hierarchical approach consists of two layers: a bottom layer of model predictive control agents and a top layer that dynamically partitions the loops into clusters. The dynamic clustering reduces the variables to be coordinated and speeds up the computations. Numerical results are provided for a 10-loop and an 80-loop plant.
Article
Thermodynamics
Hongtao Liu, Rongrong Zhai, Kumar Patchigolla, Peter Turner, Yongping Yang
Summary: Integrating solar tower and parabolic trough technology into coal-fired power generation can significantly reduce coal consumption, especially in high radiation conditions. The method is insensitive to forecast errors but sensitive to system configurations.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Sara Ruiz-Moreno, Jose Ramon D. Frejo, Eduardo F. Camacho
Summary: Using artificial neural networks to approximate the optimal flow rate given by an MPC controller significantly reduces the computational load to 3% of the MPC computation time. The neural network controllers provide practically the same mean power as the MPC controller with less abrupt changes at the output and slight violations of the constraints.
Article
Thermodynamics
Tukaram U. Shinde, Vishwanath H. Dalvi, Ramchandra G. Patil, Channamallikarjun S. Mathpati, Sudhir V. Panse, Jyeshtharaj B. Joshi
Summary: This study proposes a novel design for a parabolic trough receiver, addressing the issues of high cost and maintenance associated with traditional receivers. Experimental validation and numerical simulations are used to compare the thermal performance and cost of the novel receiver with commercial receivers.
Article
Green & Sustainable Science & Technology
Natraj, B. N. Rao, K. S. Reddy
Summary: Solar energy, an emerging technology, is increasingly utilizing concentrating power technology in solar power plants, with the structural stability of parabolic trough collectors being crucial in maintaining optical and thermal efficiencies under wind loads. The study highlights the impact of wind loads on slope deviations and the importance of yaw and pitch angles in collector design, as well as the differences in performance between collectors made of different materials.
Review
Green & Sustainable Science & Technology
Anish Malan, K. Ravi Kumar
Summary: This study provides a critical summary of various raytracing techniques to investigate the optical and thermal performance of the parabolic trough solar collector (PTSC). It examines the journey of flux distribution studies, different methods like analytical approach, measurements techniques, and modeling software, with a focus on the impact of various parameters on the flux distribution. The study also suggests numerical studies for future research in this domain.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Green & Sustainable Science & Technology
Anass Zaaoumi, Mohamed Asbik, Hajar Hafs, Abdellah Bah, Mohammed Alaoui
Summary: The paper evaluates the thermal performances of the solar field of the ISCC power plant at ABM in Morocco for the year of 2015, using mathematical modeling and COMSOL Multiphysics software to simulate the energy balance equations of the solar receiver, validate the model, and conclude that the predictions are accurate.
Article
Thermodynamics
Xiaojing Li, Pengpeng Yan, Jiangjiang Wang, Tao Yang
Summary: This study presents a numerical simulation of parabolic trough solar collector systems with different forms of vortex generators inserted in the absorber tube using [EMIM][BF4] ionic liquid. The effects of varying parameters on the thermal performance of the system are discussed. The results show that the use of vortex generators can significantly improve the thermal efficiency and exergetic efficiency of the system under certain parameters.
APPLIED THERMAL ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
M. Farooq, M. Farhan, Gulzar Ahmad, Zia ul Rehman Tahir, M. Usman, M. Sultan, M. Saad Hanif, M. Imran, Saqib Anwar, Ahmed M. El-Sherbeeny, M. Ali Shakir
Summary: Due to rapid industrialization and urbanization, the increase in carbon emissions in the atmosphere and the depletion of fossil fuel and gas reserves have led to the search for alternative renewable energy resources. Solar energy is considered as one of the most promising sources. This study analyzes the effect of multiple working fluids on the efficiency of parabolic trough solar collectors (PTCs) using Computational Fluid Dynamics (CFD) analysis. Two types of nanofluids, Alumina and Copper-oxide, are used to evaluate the thermal efficiency of PTC through CFD simulations. The study also investigates the impact of absorber tube material and receiver tube length on the working fluid's temperature. The results suggest that nanofluids-based PTCs system shows promise for sustainable environmental applications.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Energy & Fuels
Anish Malan, K. Ravi Kumar
Summary: The study presents the coupled flux distribution and thermal analysis of large aperture PTSC incorporating limb darkening effect. Various parameters affecting flux distribution are analyzed, and the need for improved manufacturing standards to enhance the performance of large aperture PTSC is highlighted.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Tim Kotzab, Sebastian Muellner, Tobias Hirsch, Kareem Noureldin, Bijan Nouri, Mark Schmitz, Luis Fernando Zarzalejo, Robert Pitz-Paal
Summary: Parabolic trough solar power plants focus the sun's irradiation onto an absorber tube using collector mirrors to generate electricity. This study utilizes spatially resolved irradiation information from all sky imager systems to improve electrical yield.
Article
Energy & Fuels
Linrui Ma, Tong Zhang, Xuelin Zhang, Bin Wang, Shengwei Mei, Zhifeng Wang, Xiaodai Xue
Summary: In a commercial parabolic trough solar power plant, the performance is determined by the operation strategy of the solar field, and the paper solves the issue of operating with nonuniform and degraded collectors by establishing a model and developing an improved operation strategy.
Article
Thermodynamics
Dan Zheng, Jin Yao, Hengxuan Zhu, Jin Wang, Chungen Yin
Summary: By using magnetic nanofluids as the thermal medium, a parabolic trough direct absorption solar collector has improved surface absorption and solar energy utilization. Experimental results show significant improvements in heat transfer, thermal efficiency, and exergy efficiency compared to deionized water when using a magnetic nanofluid with a nanoparticle concentration of 0.2wt%. Furthermore, when exposed to S-S magnetic fields, the performance of the magnetic nanofluid is further enhanced. The results have important implications for designing and optimizing direct absorption solar collectors.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Chemical
Enrique Rosales-Asensio, Ana-Esther Rosales, Antonio Colmenar-Santos
Summary: This article introduces the use of DesalinationPlant software to solve the nominal capacity calculation issue in a micro-grid, optimizing resources to maximize renewable micro-grid profits. The method is effective and efficient, providing optimal solutions within a limited timeframe.
Article
Computer Science, Information Systems
Maria Jose Albert, Manuel Blazquez-Merino, Africa Lopez-Rey, Manuel Castro
Summary: The study investigates the use of technological devices by students of the mathematics subject in Secondary Education in Madrid (Spain), specifically in relation to the use of an explanatory video made with the Camtasia application. The results indicate that the use of the instructional video had a positive impact on students in various variables.
Article
Energy & Fuels
David Borge-Diez, Pedro Miguel Ortega-Cabezas, Antonio Colmenar-Santos, Jorge Juan Blanes-Peiro
Summary: This research aims to quantify the impact of eco-routing, eco-driving, and eco-charging on the energy available for vehicle-to-building distribution. Through algorithm analysis, it was found that the proposed algorithm can increase energy availability based on different social groups' electric vehicle usage data. The results suggest that charging policies need to be adjusted to better meet the needs of various social groups.
Article
Thermodynamics
Sofia Pelaez-Pelaez, Antonio Colmenar-Santos, Clara Perez-Molina, Ana-Esther Rosales, Enrique Rosales-Asensio
Summary: A techno-economic assessment was conducted for a hybrid combined generation system using renewable storage technologies such as fuel cells and hydrogen. The proposed system consists of photovoltaic, hydrogen generation, consumption and storage, fuel cell, and thermal subsystems. Economic assessment showed that while the system is not economically viable at present, it is technically feasible.
Article
Education, Scientific Disciplines
Antonio Menacho, Pedro Plaza, Elio Sancristobal, Clara Perez-Molina, Manuel Blazquez, Manuel Castro
Summary: STEM education has been incorporating arts as an enhancer of the educational experience in recent years. There has also been a focus on involving students in the educational process. However, few experiences have been detected in which parents are involved in the educational process.
IEEE TRANSACTIONS ON EDUCATION
(2021)
Article
Green & Sustainable Science & Technology
Carlos Cuviella-Suarez, Antonio Colmenar-Santos, David Diez-Borge
Summary: This research aims to reduce fuel consumption in a sanitary-ware factory by simulating the heat flow in the manufacturing process and implementing heat recovery to cut thermal requirement by nearly half. The study improves efficiency, environmental impact, and sustainability in the industrial sector, while also fostering growth in the ceramics industry in developing countries.
Article
Computer Science, Interdisciplinary Applications
Sergio Martin, Esther Lopez-Martin, Alexis Moreno-Pulido, Russ Meier, Manuel Castro
Summary: This article analyzes a survey conducted in 2019 among 259 experts in engineering education to forecast the impact of information and communication technologies on engineering education. The study highlights adaptive and personalized learning technologies, learning analytics, and open educational resources as the most promising technologies in the short term. It also reveals a correlation between the experts' predictions and social interest in the education category on Google Trends.
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
(2021)
Article
Energy & Fuels
Enrique-Luis Molina-Ibanez, Enrique Rosales-Asensio, Clara Perez-Molina, Francisco Mur Perez, Antonio Colmenar-Santos
Summary: The study focuses on analyzing the implementation of the SMES energy storage system for future electric vehicles, considering the need for a hybrid storage system and regulatory options to promote EV technological development for reducing greenhouse gas emissions. The economic study of costs associated with implementing EVs to replace ICE vehicles is also discussed, highlighting potential economic and environmental benefits.
Review
Computer Science, Information Systems
Daniel Gutierrez-Oliva, Antonio Colmenar-Santos, Enrique Rosales-Asensio
Summary: This study delves into electrical microgrids based on renewable energies applied in industrial facilities through a review of the literature associated with the study of general microgrids. It focuses on the relationships between renewable energies and industrial environments, and briefly references the use of energy storage systems in industrial installations.
Article
Computer Science, Information Systems
Enrique Rosales-Asensio, Jose-Luis Elejalde, Antonio Pulido-Alonso, Antonio Colmenar-Santos
Summary: The main objective of new operating regimes is to enhance the resilience of the power grid while ensuring electricity supply for the maximum number of customers. However, power system operators need to prioritize critical users, such as control centers, fire stations, and hospitals, when assessing the impact of transactional power systems on resilience. This paper proposes resilience metrics that assign higher weight to critical customers and highlights the importance of considering each operator's unique system and critical customers' conditions.
Article
Green & Sustainable Science & Technology
Josep Hervas-Zaragoza, Antonio Colmenar-Santos, Enrique Rosales-Asensio, Lucia Colmenar-Fernandez
Summary: The aim of this study is to improve the energy resilience of a hospital by installing a microgrid, consisting of a photovoltaic system and a diesel generator. The results show that the microgrid configuration is able to provide continuous power supply during outages and reduce utility costs.
Article
Computer Science, Hardware & Architecture
Jorge Sainz-Raso, Sergio Martin, Gabriel Diaz, Manuel Castro
Summary: Arduino has become popular due to its low cost, open hardware approach, and flexibility for various electronic projects. However, there is a lack of comprehensive analysis on the different versions and types of Arduino boards, including software, hardware, and communication vulnerabilities. This study analyzes the vulnerabilities in different versions of Arduino boards, revealing limitations and security vulnerabilities such as firmware overrides, lack of power protection, and non-encrypted board communications. These weaknesses may lead to security breaches, highlighting the need for considering them in security management policies.
IEEE CONSUMER ELECTRONICS MAGAZINE
(2023)
Article
Education, Scientific Disciplines
Said Pertuz, Oscar Reyes, Elio San Cristobal, Russell Meier, Manuel Castro
Summary: This work examines the integration of MOOCs into traditional undergraduate engineering courses. The authors advocate for the MOOC-based flipped classroom as the most effective blending strategy and provide a case study to illustrate its implementation. The findings suggest that this methodology has the potential to promote active learning and the use of MOOCs in undergraduate engineering education.
IEEE TRANSACTIONS ON EDUCATION
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Pedro Plaza, Manuel Castro, Elio Sancristobal, Pablo Orduna, Luis Rodriguez, Javier Garcia, Felix Garcia-Loro, Rosario Gil, Antonio Menacho, Manuel Blazquez, Blanca Quintana, Sergio Martin, Francisco Mur, Alejandro Macho, Pablo Baizan, Ramon Carrasco, German Carro, Africa Lopez-Rey, Clara Perez, Slavka Tzanova
Summary: Educational continuity is achieved through the rapid evolution of teacher education and collaboration systems. It is recommended to integrate ongoing professional development of teachers into their educational work. Remote laboratories are considered a solution to facilitate practical activities for students at home. Through remote access seminars and LabsLand's remote FPGA laboratories, educational content and experimental opportunities are provided.
ONLINE ENGINEERING AND SOCIETY 4.0
(2022)
Article
Computer Science, Interdisciplinary Applications
Sergio Martin, Atilano Fernandez-Pacheco, Jose A. Ruiperez-Valiente, German Carro, Manuel Castro
Summary: This paper describes the architecture of an Arduino remote lab that supports the deployment of various Arduino-based experiments, allowing students to write code on a website and observe real-time execution results. Using this online educational tool is essential for high-quality technical education programs.
IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA
(2021)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
