Article
Engineering, Chemical
Dian Zhang, Masakoto Kanezashi, Toshinori Tsuru, Kazuki Yamamoto, Takahiro Gunji, Yohei Adachi, Joji Ohshita
Summary: Polysilsesquioxane (PSQ) reverse osmosis membranes were prepared by copolymerizing 3-glycidyloxypropyl-POSS (GPOSS) and bis[3-(triethoxysilyl)propyl]amine (BTESPA), exhibiting high NaCl rejection, good heat resistance, and chlorine resistance. The introduction of GPOSS-derived units significantly improved NaCl rejection and liquid permeability, achieving NaCl rejection of approximately 99% and liquid permeability of 5.5 x 10-13 m/s center dot Pa. These PSQ membranes with GPOSS-derived units showed excellent heat resistance up to 100 degrees C and favorable resistance to chlorine, with no obvious performance change observed after exposure to NaOCl aqueous solution (1000 ppm) for 10 h.
JOURNAL OF MEMBRANE SCIENCE
(2023)
Article
Energy & Fuels
Saeed Ramazanian, Mehdi Aliehyaei, Mahmoud Salimi, Mohammad Mehdi Najafizadeh
Summary: Water shortage is a critical risk in communities, and brine desalination can help overcome this crisis. This study presents a photovoltaic/water turbine panel based on reverse osmosis for small-scale water desalination in rural areas. The most efficient arrangement is found to be PV + WT + B + RO, which can desalinate 150L of water per day with a total water production of 25 m3. Additionally, the solar and WT panels generate 120 and 20 kW/h of electricity over the project time, respectively.
Article
Engineering, Chemical
Marc Philiberta, Antonia Filingeri, Carmelo Natalelloa, Neil Moe, Emmanuelle Filloux, Andrea Cipollina
Summary: The translation discusses the process of using A-RED technology to recover minerals from surface water resources treated by reverse osmosis. The experimental results show good mineralization effects and high rejection rates for micropollutants, with a relatively low breakthrough rate for NOM.
Article
Engineering, Chemical
Chirag G. Patel, Digvijaysinh Barad, Jaichander Swaminathan
Summary: Reverse osmosis (RO) is the most economical desalination technology, while electro-dialysis (ED) has a relative advantage in lower-salinity desalination processes.
Article
Engineering, Chemical
P. Pazouki, J. P. S. Sidhu, D. S. Ipe, M. L. Pype, T. D. Wohlsen, F. Helfer, E. Bertone, R. A. Stewart
Summary: This study explored the feasibility of incorporating two low-energy dilution desalination processes into a conventional seawater desalination approach using real seawater and recycled wastewater. The results showed that mixing dilution of influent feed waters reduced the number of pathogenic contaminants and organic/inorganic compounds. The osmotic dilution desalination (ODD) process with the FO membrane was more effective in removing viruses and bacterial indicators compared to the mixing dilution desalination (MDD) process with the UF membrane.
Article
Physics, Multidisciplinary
Shunsen Wang, Bo Li
Summary: A power-water cogeneration system based on a supercritical carbon dioxide Brayton cycle and reverse osmosis unit is proposed to recover waste heat of a gas turbine. System performance can be improved by increasing the preheating temperature and optimizing the exergy efficiency.
Article
Engineering, Chemical
Arnout D'Haese, Juan Carlos Ortega Bravo, Danny Harmsen, Lynn Vanhaecke, Arne R. D. Verliefde, David Jeison, Emile R. Cornelissen
Summary: In the long-term operation of a forward osmosis - reverse osmosis (FO-RO) closed loop pilot plant, organic micropollutants accumulated significantly in the draw solution loop, with FO rejection ranging from 55% to 91% and RO rejection exceeding 99% in most cases. It was found that FO permeability and the extent of accumulation had a negative correlation.
JOURNAL OF MEMBRANE SCIENCE
(2021)
Article
Thermodynamics
M. H. Khoshgoftar Manesh, P. Firouzi, S. Kabiri, A. M. Blanco-Marigorta
Summary: This paper proposes the simultaneous production of power and freshwater through the integration of various cycles for waste heat recovery. The results show high efficiency and low costs, making the system promising for sustainable energy production.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Chemical
Tri Ayodha Ajiwiguna, Ga-Ram Lee, Byung-Ju Lim, Sung-Hoon Cho, Chang-Dae Park
Summary: The study proposes a seasonal water storage tank to address the issues of expensive batteries and short lifespan in photovoltaic powered RO systems, leading to stable water supply at lower costs. Optimization of component capacities is crucial for achieving the lowest water cost. Results show that the optimal component capacity combinations are achieved with a designed operating time of 8 to 9 hours per day.
Article
Engineering, Chemical
E. H. Cabrera-Castillo, I. Castillo, G. Ciudad, D. Jeison, J. C. Ortega-Bravo
Summary: This study evaluates the economic feasibility of treating AMD using different processes, and results show that if waste-heat is available, the operational cost of FO-MD would be lower than FO-RO, despite the higher current cost of FO/MD membranes.
Article
Energy & Fuels
Tao Hai, Masood Ashraf Ali, Jincheng Zhou, Hayder A. Dhahad, Vishal Goyal, Sattam Fahad Almojil, Abdulaziz Ibrahim Almohana, Abdulrhman Fahmi Alali, Khaled Twfiq Almoalimi, Ahmed Najat Ahmed
Summary: Bioenergy emits less emissions compared to fossil fuels, and its water and power consumption can keep up with the growing population. Researchers have developed a novel technology that utilizes biomass gasification to produce fuel, which can be used in multi-purpose cycles to improve energy efficiency and reduce environmental impact.
Article
Engineering, Chemical
Semion Brover, Yaal Lester, Asher Brenner, Eyal Sahar-Hadar
Summary: Ultrafiltration (UF) is used as pretreatment for reverse osmosis (RO) desalination, with key operational parameters needing to be optimized for sustainable and cost-effective operation. Adjusting filtration flux, length of filtration cycle, coagulant dosing, and membrane cleaning procedure can improve UF performance, while also considering reversible and irreversible fouling.
Article
Engineering, Chemical
Abdalkarim S. Gharbia, Salem S. Gharbia, Hassan Tamous, Thaer Abushbak, Balazs Zakanyi, Marton Toth
Summary: The paper presents field and experimental lab works to examine the effects of antiscalants on small and medium-scale brackish RO desalination plants. Different types of antiscalants can maximize pollutants removal in order to reach the maximum salts rejection.
DESALINATION AND WATER TREATMENT
(2021)
Article
Engineering, Environmental
Hong-Yang Ren, Han Mao, Wen-Hui Jin, Jia-Min Wang, Liang Ma, Bing Wang
Summary: The ceramic membrane-ED-H/L pressure RO combined process was used to treat fracturing flowback fluid, with high removal efficiencies of TDS and COD. The decrease in membrane flux was caused by the formation of organic and inorganic composite. The removal efficiency of organic pollutants was positively correlated with operating voltage in ED, and further improved by RO operation.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Engineering, Chemical
S. Fellaou, A. Ruiz-Garcia, B. Gourich
Summary: The energy-driven process of brackish water desalination by reverse osmosis membranes was evaluated in a full-scale plant in the Canary Islands, Spain after 14 years of intermittent operation. Conventional and enhanced exergy analysis revealed significant irreversibilities in the RO system and pumps, with a large portion being avoidable exergy destruction. Recommendations were made to improve the efficiency and reduce exergy destruction in the pumps.
Article
Construction & Building Technology
Jorge Loy-Benitez, Shahzeb Tariq, Hai Tra Nguyen, Usman Safder, KiJeon Nam, ChangKyoo Yoo
Summary: This study developed a data-based soft-sensor to predict indoor PM2.5 using easily measurable outdoor and indoor air variables. The method achieved high predictive accuracy, outperforming other methods by 27%-30%. Additionally, the soft-sensor was able to assess the health risk level of indoor PM2.5 concentrations. When applied to the ventilation control system of a subway station, it successfully maintained satisfactory indoor air quality without exceeding unhealthy breakpoints.
BUILDING AND ENVIRONMENT
(2022)
Article
Thermodynamics
Usman Safder, Tra Nguyen Hai, Jorge Loy -Benitez, ChangKyoo Yoo
Summary: This paper proposes an integrated approach to evaluate Pakistan's energy sector and suggests a renewable energy technology-based system design to eliminate energy shortfalls. The study finds that driving Pakistan to become an energy hub is the critical dominant factor, while improving the investment environment is of lower priority. Additionally, Baluchistan is identified to have the highest potential for wind energy.
Article
Environmental Sciences
SungKu Heo, Juin Yau Lim, Roberto Chang, Yerim Shim, Pouya Ifaei, ChangKyoo Yoo
Summary: In this study, a non Gaussian multivariate statistical monitoring approach was proposed to investigate the wind speed frequencies in different regions of South Korea. The results indicated that Weibull and Gamma distributions were the best-fit functions for each province, and the proposed approach can elucidate the spatial and temporal variability of the wind speed frequencies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Pouya Ifaei, Amir Saman Tayerani Charmchi, Jorge Loy-Benitez, Rebecca Jing Yang, ChangKyoo Yoo
Summary: Combined technological, economic, sociological, and environmental (TESE) models are crucial for leveraging renewable energies and supporting sustainable development in Korea. This comprehensive TESE study addresses multiple sustainability challenges in the Korean energy sector. The study utilizes deep neural networks, simulation models, clustering algorithms, and decision-making approaches to predict electricity demand, evaluate hybrid renewable microgrids, generate renewable energy maps, develop a prioritized roadmap, and propose a sustainable energy policy.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Juin Yau Lim, Sin Yong Teng, Bing Shen How, KiJeon Nam, SungKu Heo, Vitezslav Masa, Petr Stehlik, Chang Kyoo Yoo
Summary: This study provides comprehensive guidelines for strategically deploying large scale microalgae biorefineries, considering the uncertainties in climate conditions and incorporating renewable electricity sources, to ensure long-term operational sustainability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo
Summary: In alignment with the rapid development of artificial intelligence, machine learning is being widely applied in various engineering fields. This review emphasizes the importance of using machine learning techniques in renewable and sustainable energies, and provides a comprehensive overview of the major applications and remaining challenges. It is anticipated that the rapid application of machine learning tools will speed up the development of sustainable energies in the next decade.
Article
Chemistry, Multidisciplinary
Bahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, ChangKyoo Yoo
Summary: Using machine-learning algorithms and XAI analysis, we developed a model based on a 200-instance data set to predict particle morphology. The study reveals that the morphology of Janus particles prepared by solvent evaporation-induced phase separation is influenced by solvent solubility, polymer cohesive energy difference, and blend composition. Feature values that strongly favor a given morphology can be selected to create Janus or core-shell particles.
Article
Construction & Building Technology
Shahzeb Tariq, Shahroz Tariq, SangYoun Kim, Simon S. Woo, ChangKyoo Yoo
Summary: The robust air quality early warning systems for sustainable development of cities have received significant attention due to their ability to provide health risk warnings and regulatory plans. However, the current frameworks have limitations in terms of forecasting at new areas and long-term sensor failure. In this study, a distance adaptive graph convolutional gated network is proposed to address these issues and provide simultaneous forecasts of primary air pollutants in a megacity.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Shahzeb Tariq, Jorge Loy-Benitez, Changkyoo Yoo
Summary: The rise in passenger traffic within underground subway stations has raised concerns about indoor air quality. This study proposes a new method for early warning systems that combines a gated probabilistic transformer framework with a genetic algorithm, aiming to improve control and ventilation of PM2.5 in underground environments. Performance evaluation shows that this method outperforms traditional methods in terms of prediction accuracy and coverage probability.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Sangyoun Kim, Sungku Heo, Kijeon Nam, Taeyong Woo, Changkyoo Yoo
Summary: This study developed a flexible renewable energy distribution planning method based on an artificial intelligence driven spatiotemporal renewable energy prediction model. The proposed method achieved the maximization of renewable energy potential and reduction in greenhouse gas emissions and climate change vulnerability through a multi-objective genetic algorithm.
Article
Thermodynamics
Mohammad Moosazadeh, Shahzeb Tariq, Usman Safder, ChangKyoo Yoo
Summary: This study investigates the performance of a hybrid solar thermal membrane-based multigeneration system for generating power, cooling, heating, and water. The results show that the allocation of R113 in the system yielded the highest energy efficiency and lowest environmental impact. Additionally, the utilization of rejected water-ammonia achieved reasonable power density and water flux. The sustainability analysis revealed that the proposed system obtains a sustainability index greater than that of fossil fuel-based power generation systems.
Article
Thermodynamics
Abdulrahman H. Ba-Alawi, Hai-Tra Nguyen, ChangKyoo Yoo
Summary: This study proposes a coordinated sizing approach that integrates demand-side water management into the sizing optimization of a renewable energy-driven desalination system. It can significantly reduce costs, meet demands, and improve sustainability.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Review
Green & Sustainable Science & Technology
Pouya Ifaei, Atefeh Tamaskani Esfehankalateh, Fatemeh Ghobadi, Behnam Mohammadi-Ivatloo, ChangKyoo Yoo
Summary: In recent decades, extensive research has been conducted to optimize sustainable energy, focusing on technical performance, economic profitability, and social acceptance. However, there has been limited systematic review of the most popular heuristic algorithms in this field. This study developed a Boolean logic-based program to investigate the applications of heuristic solvers in sustainable energy and explore the factors contributing to their success.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Jorge Loy-Benitez, Shahzeb Tariq, Hai Tra Nguyen, SungKu Heo, ChangKyoo Yoo
Summary: To address the issue of sludge bulking in wastewater treatment plants, we propose a novel graph-based monitoring framework that utilizes advanced techniques to detect and diagnose sludge bulking events. The framework extracts pertinent features and causal relationships from historical datasets, allowing operators to trigger alarms and identify the root cause.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Juin Yau Lim, Sin Yong Teng, Bing Shen How, Adrian Chun Minh Loy, Sungku Heo, Jeroen Jansen, Pau Loke Show, Chang Kyoo Yoo
Summary: This study evaluates the air pollutant control system of a coal-powered plant and proposes an upgraded configuration. Untreated flue gas is reconstructed using a variational autoencoder based on a year-long dataset collected from the plant's telemonitoring system. A superstructure model with different technology options is developed to treat NOx, SOx, and particulate matter. An artificial intelligence model is used to identify the most sustainable configuration, which includes reburning, desulfurization with seawater, and dry electrostatic precipitator, fulfilling economic, environmental, and reliability targets. The proposed system is evaluated through a Monte Carlo simulation for various scenarios with tightened discharge limits, resulting in a total annual cost of 44.1 x 106 USD/year, an environmental quality index of 0.67, and reliability indices of 0.87.
ENVIRONMENTAL POLLUTION
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
