Article
Chemistry, Multidisciplinary
Ali Shan Malik, Sharif F. Zaman, Abdulrahim A. Al-Zahrani, Muhammad A. Daous
Summary: High-performance Pd and Ca-promoted Pd nanoparticles over mesoporous CeO2 were prepared by a single-pot sol-gel chelating method, exhibiting dual functionality of converting CO2 to methanol and its dehydration to di-methyl ether. Ca promotion significantly improved catalytic performance and tuned the properties of CeO2.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2021)
Article
Environmental Sciences
Shadi Peyman, Parisa Moghimpour Bijani, Fatemeh Bahadori
Summary: Ethanol production methods are vital in the production of fuel and fuel additives. This research focuses on the simulation and optimization of the carbonylation of dimethyl ether, which is an essential step in the three-step process of methanol to ethanol conversion. By studying temperature, pressure, residence time, and feed ratio, the researchers were able to determine effective operational parameters and achieve optimal conversion rates.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agricultural Engineering
Quan Wang, Kazuyuki Oshita, Masaki Takaoka, Kenji Shiota
Summary: The study explored the use of subcritical dimethyl ether as a green solvent to extract lipids from microalgae, finding that heating, microwave, and ultrasonic treatments significantly improved the extraction process by increasing cell wall permeability. The extraction process effectively removed free water from microalgal cells with well-extracted lipids, while leaving bound water intact in the cells.
BIORESOURCE TECHNOLOGY
(2021)
Article
Energy & Fuels
Wonho Jung, Seulah Lee, Hyeona Kim, Woo-Jae Kim, Jinwon Lee
Summary: We proposed an integrated process to produce methyl acetate (MA) from shale gas-derived dimethyl ether (DME), with high selectivity and conversion rate achieved using specific catalysts. The mathematically modeled technoeconomic analysis demonstrated low production costs and high net present values, supporting the feasibility of industrially producing MA from syngas-derived DME intermediates.
Article
Chemistry, Multidisciplinary
Jiabao Zhao, Weixin Qian, Hongfang Ma, Weiyong Ying, Peiqing Yuan, Haitao Zhang
Summary: Through simulation experiments, it was found that pyridine pre-adsorbed hydrogen mordenite can prolong the catalyst life of dimethyl ether carbonylation. The introduction of pyridine can enhance the main active site for the reaction and facilitate the desorption of products and byproducts, leading to reduced raw material consumption.
Article
Green & Sustainable Science & Technology
Karittha Im-orb, Pakorn Piroonlerkgul
Summary: A sustainability analysis of bio-dimethyl ether (bio-DME) production via an integrated biomass gasification and direct DME synthesis (IBG-DME) process using oil palm residue as feedstock was conducted. The energy efficiency of the IBG-DME process was found to be 59.5%, with bio-DME and bio-methanol as the main and by-product, respectively. The carbon footprint and environmental impact were highly dependent on the energy consumption and the different process sections.
Article
Chemistry, Applied
Eun Jeong Kim, Xinhua Gao, Jumei Tian, Jong Wook Bae
Summary: The use of nanosized FER seeds can lead to the synthesis of highly crystalline FER structures in a shorter duration, resulting in improved conversion of dimethyl ether and selectivity towards methyl acetate.
Article
Polymer Science
Anna P. Constantinou, Georgios Patias, Birsen Somuncuoglu, Toby Brock, Daniel W. Lester, David M. Haddleton, Theoni K. Georgiou
Summary: In this study, a new methacrylate monomer di(propylene glycol) methyl ether methacrylate (diPGMA) was synthesised and homopolymerised and copolymerised for the first time via GTP. A series of ABA triblock copolymers were prepared and their self-assembly and thermoresponsive properties were investigated. The copolymers showed thermoresponse and gel formation in concentrated aqueous solutions, indicating potential applications in thermogelling materials.
Article
Green & Sustainable Science & Technology
Shirleen Lee Yuen Lo, Bing Shen How, Sin Yong Teng, Hon Loong Lam, Chun Hsion Lim, Muhammad Akbar Rhamdhani, Jaka Sunarso
Summary: This study evaluates the techno-economic feasibility of biomass gasification process through Monte Carlo simulation, revealing that mesocarp fibre has higher net present value and is slightly more preferable in environmental assessment.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Alan A. Rico-Barragan, J. Raziel Alvarez, Sandra Pioquinto-Garcia, Joelis Rodriguez-Hernandez, Pasiano Rivas-Garcia, Nancy E. Davila-Guzman
Summary: This study aims to achieve a cleaner production of MIL-101(Cr) by considering environmental, technical, and economic criteria. The optimized synthesis process resulted in MIL-101(Cr) with good textural properties, suitable for toluene capture at low concentrations. Environmental analysis showed significant impacts in Climate Change, Fossil Depletion, and Particulate Matter categories. The cleaner MIL-101(Cr) synthesis presented 64% minor environmental impact and is 34% more economical than a conventional MOF synthesis. Overall, this research is a step toward comprehensive synthesis of MOFs for adsorption applications.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Multidisciplinary Sciences
A. Baskaran, N. Manikandan, N. Nagaprasad, Krishnaraj Ramaswamy
Summary: This study examines the potential replacements for R134a, such as Dimethyl ether (DME) and its blend of refrigerants (R429A, R435A, and R510A), through second law analysis. Using the Design package CYCLE D, the performance of various refrigerants in a vapour compression refrigeration system is analyzed. The software REFPROP 9.0 is used to extract all of the thermal and physical parameters of DME and its blend of refrigerants. The study discusses second law performance parameters including Efficiency Defects, Entropy generation, and Exergy Efficiency.
SCIENTIFIC REPORTS
(2023)
Article
Energy & Fuels
Manuel C. Bauer, Philipp Konnerth, Andrea Kruse
Summary: Liquefied dimethyl ether (DME) is a promising, green solvent for biomass lipid extractions. This study examines its use with four microalgae and cyanobacteria species, and finds that cryo-milling increases oil yield and improves fatty acid composition.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Green & Sustainable Science & Technology
Debora Cristina Bianchini, Flavio Jose Simioni
Summary: The study shows that drying wood chips using a rotary dryer is economically viable, with a short payback period and high Internal Rate Return. Even with an increase in purchase price and a decrease in sale price, the economic indicators remain viable.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Chemistry, Analytical
Xiaojin Guo, Xiang Xu, Xiaodi Tang, Xiaoyong Xue, Xiquan Li
Summary: Co-pyrolysis is an empirical process that highly relies on experiments. The BMCP model investigates the influences of feed types, mass transfer resistance, and temperature, finding that antagonist effects dominate and can be converted into synergistic effects by adjusting temperature or residence time.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2021)
Article
Chemistry, Multidisciplinary
Aduraseyi A. Adeoye, Fabrizio Passarini, Jacopo De Maron, Tommaso Tabanelli, Fabrizio Cavani, Daniele Cespi
Summary: Green chemistry is a response from the chemical industry to improve environmental responsibility and address its reputation as one of the most polluting sectors. This study compared the environmental impacts of three different approaches to methyl methacrylate (MMA) production using life cycle assessment methodology. The results highlighted areas for process improvements and the potential benefits of green chemistry principles. However, limitations in the methodology required the use of an additional tool, GREEN MOTION, to assess potential risks. Overall, the study emphasized the importance of data quality, process optimization, and energy sources in achieving favorable results in life cycle assessments.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.