Article
Thermodynamics
Amirsaman Eghtesad, Hossein Afshin, Siamak Kazemzadeh Hannani
Summary: By utilizing the cold energy of liquefied natural gas for power generation and seawater desalination, a novel low-temperature cascade cycle has been developed to enhance energy recovery efficiency. Optimization of the cycle performance and work production showed significant improvements in efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Shuanshi Fan, Yan Wang, Yanhong Wang, Xuemei Lang, Shenglong Wang
Summary: The study simulated and optimized three possible gas storage processes and found that hydrate-based natural gas (HNG) has low specific energy consumption, CAPEX, equipment weight, and short payback period, making it suitable for offshore small-scale natural gas production.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Rong Zeng, Xianglin Tang, Yan Deng, Xiaofeng Zhang, Hongqiang Li, Wei Yin, Guoqiang Zhang
Summary: This paper presents a novel solar energy system with hydrogen energy storage and alkaline fuel cell. Through comprehensive evaluation, it is found that the system performs well in terms of life cycle cost, electricity coverage ratio, carbon dioxide emission, and levelized cost of energy.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Bo Li, Shun-sen Wang, Jiafei Qiao, Bingbing Wang, Liming Song
Summary: A novel dual-pressure Allam cycle integrated with the cold energy recovery of liquefied natural gas is proposed in this paper. By utilizing two condensers with different condensing pressures, the cold energy of liquefied natural gas is successively utilized, reducing the heat transfer temperature difference in the condensation process and improving the system performance. Optimal results show that the system's exergy efficiency is greatly improved compared to the single-pressure Allam cycle, with higher electricity efficiency and specific work.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Environmental
Jingtao Sun, Gongxing Yan, Azher M. Abed, Aman Sharma, R. Gangadevi, Sayed M. Eldin, Mohammad Taghavi
Summary: This study developed a new energy cycle based on the Sabalan geothermal wells, integrating solar and geothermal energy to improve electrical energy production levels. Optimization results showed a 17.9% increase in energy efficiency and a 3.53% reduction in exergy destruction for mode A (with NG production), while a 31.7% reduction in energy efficiency and a 22.1% improvement in exergy efficiency were observed for mode B (without NG production).
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Green & Sustainable Science & Technology
Andre Bolt, Ibrahim Dincer, Martin Agelin-Chaab
Summary: The article presents a new and unique multigeneration system design that extracts carbon dioxide from cement production to produce methane/natural gas. Hydrogen gas is generated through electrolysis supported by hydroelectric power, and a portion is used to produce methane. Other outputs include electricity, space heating, and hot water. The system also utilizes solar energy. The system achieved hydrogen and methane production rates of 0.01028 kgs-1 and 0.02045 kgs-1, respectively, with exergy and energy efficiencies of 44.5% and 77.5%.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Tiancheng Ouyang, Shutao Xie, Wencong Wu, Jiaqi Tan
Summary: Compressed natural gas vehicles have become an important development direction in the automotive industry worldwide due to their low cost and environmental benefits. However, the operation of liquid-compressed natural gas stations can lead to pollution if boil off gas and gasoline vapor are not properly recovered. This study proposes a novel design that integrates multiple methods to efficiently recover cold energy from LNG for liquid-compressed natural gas stations, presenting a new idea in this field.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Alessandro Franco, Caterina Giovannini
Summary: The aim of this paper is to investigate the cold energy recovery of LNG in regasification terminals through direct expansion techniques. The highest level of recoverable energy and optimal design parameters are identified for multi-pressure direct expansion solutions with internal heat recovery. The innovative power recovery methods can save regasified LNG and generate electrical power, achieving over 30% recovery of the maximum specific work available in LNG regasification.
Article
Thermodynamics
Zhixin Sun, Yisheng Huang, Na Tian, Kui Lin
Summary: Decreasing the condensation pressure in organic Rankine cycle (ORC) can greatly increase the system efficiency. By extending the condensation pressure to vacuum conditions, the study found that the exergy efficiency of R227ea increased from 18.87% to 26.03% as the condensation pressure decreased. However, for some substances, their efficiencies decreased as the condensation pressure approached 0.001 MPa and their optimal condensation pressures varied. R227ea was found to be a generally good working fluid due to its higher critical temperature and lower triple point pressure.
Article
Chemistry, Physical
Chad A. Hunter, Michael M. Penev, Evan P. Reznicek, Joshua Eichman, Neha Rustagi, Samuel F. Baldwin
Summary: As variable renewable energy penetration increases, clean power systems will need long-duration energy storage or low-carbon generation to meet the demand. Current research shows that hydrogen systems with geologic storage and natural gas with carbon capture are the least-cost low-carbon technologies, with compressed air and pumped thermal storage potentially being the least-cost options in the current capital cost scenario under uncertainty. A new storage system using heavy-duty vehicle fuel cells could significantly reduce the levelized cost of energy and help enable very high renewable energy grids.
Review
Energy & Fuels
Chihiro Fushimi
Summary: By effectively utilizing the advantages and disadvantages of biomass power generation systems, especially by integrating renewable energy and energy storage systems, it is possible to greatly reduce CO2 emissions while balancing electricity supply and demand.
Article
Green & Sustainable Science & Technology
Junjiang Bao, Xiang He, Yuanyuan Deng, Ning Zhang, Xiaopeng Zhang, Baigang An, Gaohong He
Summary: This study proposes a new combined liquid carbon dioxide energy storage and two-stage condensation organic Rankine cycle system. By optimizing the performance of the system using mixed working fluids, it outperforms existing liquid air energy storage and LNG cold energy systems in terms of thermodynamics and economics.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Environmental
Sun Yi, Azher M. Abed, Ahmed Deifalla, M. Riaz, Theyab R. Alsenani, Samia Elattar, Chun Yulei, Saleh Al Sulaie
Summary: This study proposes, evaluates, and optimizes a solar-based multigeneration system that relies on consecutive heat integration. The system includes a heliostat field for solar power collection, a nitrogen-based Brayton cycle for high temperature air supply, a Kalina cycle for medium-temperature heat resumption, and a double-effect absorption refrigeration cycle and natural gas regasification unit. The study conducts exergy, energy, and exergoeconomic analyses and performs multi-objective optimization using a genetic algorithm and decision-making approaches. The optimal objectives are determined to be 24.76% and 15.90 $/GJ by TOPSIS and 24.47% and 15.73 $/GJ by LINMAP, respectively.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Multidisciplinary Sciences
Bhalchandra Shingan, P. Vijay, Karhikraja Pandian
Summary: The current study examines the potential of utilizing the cold energy stored in liquefied natural gas (LNG) for power generation. Analysis of four alternative systems combining the Rankine cycles (RC) and the direct expansion cycle (DEC) demonstrates that the efficiency and net power gain of power generation cycles can be substantially increased when DEC and RCs are combined. Sensitivity analysis reveals that the working fluid pressure, LNG mass flow rate, and turbine output pressure are crucial variables for achieving optimal outcomes. The economic study also confirms the viability of the suggested power system.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Zhixin Sun, Qiang Zhao, Zhenquan Wu, Kui Lin
Summary: This study evaluates different configurations of Rankine cycles and finds that improved single-stage RCs are generally better than two-stage RCs, with regenerative-reheat RC performing best under most working conditions. The choice of working fluid is crucial for the performance of different types of RC cycles, with variations in key parameters and optimization strategies for each.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Physics, Multidisciplinary
Xiankun Sun, He Liu, Wanqing Song, Francesco Villecco
Article
Physics, Multidisciplinary
Aurelio Liguori, Enrico Armentani, Alcide Bertocco, Andrea Formato, Arcangelo Pellegrino, Francesco Villecco
Article
Physics, Multidisciplinary
Luca Salvati, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Summary: This research utilized a fatigue-related sleepiness detection algorithm based on pulse rate variability to monitor long-term changes in driver's condition in real-time, validated through comparison with PERCLOS. The study demonstrated the potential of continuously monitoring driver's status via HRV detection of ANS activation/deactivation states to prevent accidents caused by drowsiness while driving.
Article
Acoustics
Tengyu Li, Ziming Kou, Juan Wu, Waled Yahya, Francesco Villecco
Summary: An adaptive fault diagnosis method is proposed in this study, consisting of fault information integration and extracted feature evaluation. Different technologies and methods are applied to address the issues in traditional methods, with verification results showing its good performance in bearing state recognition.
SHOCK AND VIBRATION
(2021)
Article
Physics, Multidisciplinary
Shuli Mei, Meng Liu, Aleksey Kudreyko, Piercarlo Cattani, Denis Baikov, Francesco Villecco
Summary: Magnetic resonance imaging (MRI) is crucial for disease diagnosis. This study presents an adaptive denoising method for microsection images with Rician noise using the bendlets system, which effectively represents images with curve contours. The proposed method outperforms other algorithms in terms of Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM).
Article
Physics, Multidisciplinary
Kexin Meng, Piercarlo Cattani, Francesco Villecco
Summary: In this study, an automated model based on Bendlet transform and improved Chan-Vese model is proposed for brain tumor segmentation. The combination of Bendlet transform and SSIM region detection method improves the accuracy and stability of the segmentation.
Article
Engineering, Multidisciplinary
Oke Davies Adeyemo, Chaudry Masood Khalique, Yusif S. Gasimov, Francesco Villecco
Summary: This article presents an analytical investigation of a completely generalized (3 + 1)-dimensional nonlinear potential Yu-Toda-Sasa-Fukuyama equation, which has applications in engineering and physics. The paper comprehensively studies the generalized version of the equation and achieves various new solutions, including solitons and special function solutions. The equation is reduced to an integrable form using the theory of Lie groups and a standard technique, allowing for direct integration. The results are validated graphically, and conserved quantities of the equation are constructed using both variational and non-variational approaches.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Proceedings Paper
Engineering, Multidisciplinary
Luca Salvati, Nicola Cappetti, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Summary: The development and spread of human-centered products have led to increased applications in various fields. This study focuses on the interpretation of biosignals to provide real-time monitoring of physiological conditions, offering support in clinical and driving safety areas. Heart rate variability analysis helps assess the autonomic nervous system dynamics and detect systemic diseases and changes related to daily biological rhythms, stress, fatigue, comfort, and vigilance. The research proposes a contactless detection platform that can acquire cardiac signals in real time, filtering noise and identifying important parameters.
DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING II, ADM 2021
(2022)
Proceedings Paper
Engineering, Multidisciplinary
Andrea di Filippo, Francesco Villecco, Nicola Cappetti, Salvatore Barba
Summary: The field of simplification of geometric surfaces lacks a universally recognized definition of the error, but this study proposes a method for quantification.
DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING II, ADM 2021
(2022)
Article
Mathematics, Interdisciplinary Applications
Jie Xing, Wanqing Song, Francesco Villecco
Summary: This article develops a new stochastic sequence forecasting model, known as the difference iterative forecasting model based on the Generalized Cauchy (GC) process. The GC process, described by Hurst parameter H and fractal dimension D, is used to more flexibly describe various LRD processes. The forecasting model parameters are estimated by statistical methods and validated using real wind speed data.
FRACTAL AND FRACTIONAL
(2021)
Article
Engineering, Electrical & Electronic
Aurelio Liguori, Andrea Formato, Arcangelo Pellegrino, Francesco Villecco
Summary: This study established a numerical model of a tank container for foodstuff using the ANSYS R17.0 program code and validated the model through ISO tests. The results showed that the most stressed area in the experiments is at the connections between the container and the support frame.
Proceedings Paper
Green & Sustainable Science & Technology
Francesco Villecco, Rita Patrizia Aquino, Vincenza Calabro, Maria Ida Corrente, Antonio Grasso, Vincenzo Naddeo
FRONTIERS IN WATER-ENERGY-NEXUS NATURE-BASED SOLUTIONS, ADVANCED TECHNOLOGIES AND BEST PRACTICES FOR ENVIRONMENTAL SUSTAINABILITY
(2020)
Article
Engineering, Electrical & Electronic
Luca Salvati, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Article
Environmental Sciences
Francesco Villecco, Rita Patrizia Aquino, Vincenza Calabro, Maria Ida Corrente, Matteo d'Amore, Antonio Grasso, Vincenzo Naddeo
EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION
(2020)
Article
Engineering, Electrical & Electronic
Andrea Formato, Domenico Ianniello, Raffaele Romano, Arcangelo Pellegrino, Francesco Villecco