Article
Environmental Sciences
Awais Mahmood, Shabbir H. Gheewala
Summary: This study compared conventional and organic rice farming systems in Thailand, taking into account uncertainties associated with parameters. The results showed that yield had a significant influence on the environmental impacts of the two systems, with organic and conventional farming showing similar results in terms of global warming per hectare, but a considerable difference per tonne. Fuel use and field emissions were significant contributors to most impact categories.
ENVIRONMENTAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Thomas Hennequin, Mark A. J. Huijbregts, Rosalie van Zelm
Summary: Understanding the influence of consumer behavior on the life cycle of car tires, it was found that promoting the use of smaller cars and longer-lasting, fuel-efficient tires can effectively reduce environmental impacts.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Energy & Fuels
Junjie Li, Yueling Zhang, Yanli Yang, Xiaomei Zhang, Nana Wang, Yonghong Zheng, Yajun Tian, Kechang Xie
Summary: This study compared the three production routes of fuel ethanol and found that the second-generation fuel bioethanol (SGFB) route has the highest comprehensive score due to its excellent environmental performance and the efficient utilization of agricultural residuals. The industrialized coal-based fuel ethanol (CBFE) route has significant economic benefits and diversifies the sources of fuel ethanol, but it also faces challenges associated with high environmental impact, especially greenhouse gas emissions.
Article
Energy & Fuels
Jan Emblemsvag
Summary: The study suggests that wind energy can reduce emissions to some extent compared to using gas turbines. However, achieving an affordable, low-carbon grid incorporating wind energy balanced by fossil fuel generators is infeasible with current technology, emissions, and costs.
Article
Green & Sustainable Science & Technology
Quddus Tushar, Muhammed A. Bhuiyan, Guomin Zhang
Summary: The study presents a holistic approach for optimizing the windows system by integrating operational efficiency with comprehensive life cycle assessment and cost evaluation. Simulations show that facade insulation is more effective than glazing in reducing energy consumption. However, providing zero windows is not the best solution. For glazing, there is a higher correlation between thermal conductivity and energy consumption.
JOURNAL OF CLEANER PRODUCTION
(2022)
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
Environmental Sciences
Kevin R. Fingerman, Jerome Qiriazi, Cassidy L. Barrientos, Max Blasdel, Jeffrey M. Comnick, Andrew R. Harris, Carisse Geronimo, Chih-Wei Hsu, Jeffrey M. Kane, Elaine Oneil, Sabrinna Rios-Romero, Luke W. Rogers, Mark Severy, Micah C. Wright
Summary: California is facing a crisis on its forested landscapes due to aggressive logging, fire suppression, and climate change. State policymakers have turned to biomass electricity generation as a potential solution, but the climate and air pollution impacts are still unclear. The California Biomass Residue Emissions Characterization (C-BREC) model provides a framework to assess the impacts of biopower from forest residues and suggests that utilization of residue offers the best climate and air quality performance.
ENVIRONMENTAL RESEARCH LETTERS
(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
Energy & Fuels
Aris V. Skarbeli, Ruben de Eusebio-Yebra, Pablo Romojaro, Francisco Alvarez-Velarde, Daniel Cano-Ott
Summary: This work compares nuclear data uncertainties in an open fuel cycle, finding that even in conservative cases, uncertainties caused by nuclear data are larger or at least comparable to those caused by fuel cycle parameters. Therefore, with the adoption of advanced nuclear fuel cycles, nuclear data uncertainties are expected to become even more relevant in fuel cycle analyses. The conclusion is that nuclear data cannot be disregarded in uncertainty assessments in fuel cycle studies.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Environmental
Ali Ghannadzadeh, Amir Hossein Tarighaleslami
Summary: The study introduces a new methodology for studying the production process of propylene oxide (PO), highlighting the importance of implementing environmentally friendly production processes during the energy transition period. Through simulation analysis, it was found that natural gas is not a suitable choice for energy mix, while the application of bioenergy helps to reduce environmental impacts.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2022)
Article
Engineering, Environmental
Freya Michiels, Annemie Geeraerd
Summary: In this study, a novel approach called two-dimensional Monte Carlo simulations (2DMC) is introduced in life cycle assessment (LCA) to account for uncertainty and variability. By dividing model parameters into different categories and sampling appropriate distributions separately, the 2DMC method can provide separate assessments and guide decision-making for more robust results.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2022)
Article
Green & Sustainable Science & Technology
Andrei Briones-Hidrovo, Jose Copa, Luis A. C. Tarelho, Catia Goncalves, Tamiris Pacheco da Costa, Ana Claudia Dias
Summary: The study evaluates and compares the environmental and energy performance of direct gasification and combustion using residual forest biomass in Portugal. Gasification performs environmentally better than combustion in most impact categories, but combustion has a higher Energy-Returned-On-Energy-Invested ratio. The study concludes that gasification may be a good alternative to current combustion systems in Portugal.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Environmental Sciences
Nelson Sinisterra-Solis, Neus Sanjuan, Javier Ribal, Vicent Estruch, Gabriela Clemente
Summary: This study develops life cycle inventories (LCIs) for Spanish crops based on official data and evaluates the environmental impacts in the main producing regions. The results show significant variations in environmental scores among different regions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Physics, Multidisciplinary
K. L. Zhang, Z. Song
Summary: The study reveals that applying a nonlocal non-Hermitian perturbation to an Ising chain merges the topological Kramer-like degeneracy in the ferromagnetic phase, with distinct dynamic responses for different quantum phases. The phase diagram at zero temperature is completely preserved at finite temperatures.
PHYSICAL REVIEW LETTERS
(2021)
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.