Review
Energy & Fuels
Marc E. J. Stettler, Mino Woo, Daniel Ainalis, Pablo Achurra-Gonzalez, Jamie Speirs, Jasmin Cooper, Dong-Ha Lim, Nigel Brandon, Adam Hawkes
Summary: It has been suggested that using liquefied natural gas as a fuel source for heavy goods vehicles could lead to reduced greenhouse gas emissions. However, there has been little comparative analysis across various studies. This review provides a comprehensive examination of the well-to-wheel lifecycle emissions of liquefied natural gas for heavy goods vehicles in comparison to diesel. The primary factors affecting the emissions are the fuel efficiency of natural gas engines relative to diesel and methane leakage across the supply chain.
Article
Thermodynamics
Fujing Zhang, Emil Obeid, Wissam Bou Nader, Assaad Zoughaib, Xiaobing Luo
Summary: This study investigates the impact of compressed natural gas as an alternative fuel for heavy-duty hybrid trucks, finding that their CO2 equivalent emissions are reduced by 9.1%-18.7% compared to diesel. However, methane leakage remains a problem that needs to be addressed.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Hyunwook Park, Euijoon Shim, Junsun Lee, Seungmook Oh, Changup Kim, Yonggyu Lee, Kernyong Kang
Summary: Conventional dual fuel (CDF), early pilot (E-Pilot), and reactivity-controlled compression-ignition (RCCI) modes were compared in a natural gas-diesel dual-fuel engine. The CDF mode was the most suitable for high-load operations, achieving a high brake thermal efficiency (BTE) of 42.8%. The E-Pilot and RCCI modes had reduced combustion loss and achieved BTE values of 43.1% and 41.4%, respectively. The E-Pilot mode covered medium-load operations and had similar combustion phasing control to the CDF mode, while the RCCI mode showed opposite trends in combustion phasing control and was limited to low loads.
Article
Energy & Fuels
J. Rochussen, N. S. B. Jaeger, H. Penner, A. Khan, P. Kirchen
Summary: Low Pressure Dual Fuel (LPDF) marine engines fueled with natural gas (NG) can effectively reduce fuel sulfur content, and NOx and PM emissions for marine vessels. However, the accuracy of using generalized engine test cycles for assessing GHG emissions reduction from LPDF NG engines is limited due to the sensitivity of CH4 slip to engine load. This study aims to quantify the GHG emissions reductions possible using the current best available LPDF technology and evaluate the real-world emissions reduction achieved through improved vessel operating strategies and state-of-the-art engine technology for coastal LPDF vessels.
Article
Environmental Studies
Patrizio Tratzi, Marco Torre, Valerio Paolini, Laura Tomassetti, Cassandra Montiroli, Eros Manzo, Francesco Petracchini
Summary: This study conducted a well-to-wheels analysis of liquified biomethane (LBM) production chains and found that despite increased emissions from liquefaction, LBM has a negative impact on addressing transport emissions and agricultural waste management. The emissions of nitrous oxides (NOx) from biomethane and fossil fuels are similar, with fuel combustion in the vehicle engine being the main source. The most intensive processes contributing to climate change were biomethane upgrading and liquefaction.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Christopher J. Ulishney, Cosmin E. Dumitrescu
Summary: This study investigated the use of dual-fuel diesel-NG engines operating at low load conditions. It found that replacing part of the diesel fuel with propane gas mixtures improved engine performance and gaseous fuel oxidation, but also led to increased CO and HC emissions.
Article
Thermodynamics
Zhaojie Shen, Xinyan Wang, Hua Zhao, Bo Lin, Yitao Shen, Jianguo Yang
Summary: This study investigates the combustion and methane emissions of the YC-6K NG-diesel engine with different radial clearances. The results show that by modifying the piston geometry and piston bowls, the combustion efficiency can be increased and methane emissions can be reduced.
Article
Green & Sustainable Science & Technology
Liping Tan, Lei Cai, Yidan Fu, Zining Zhou, Yanwen Guan
Summary: This study proposes a biomass gasification integrated natural gas combined cycle for carbon emission reduction. By adjusting the flow rate of CO2 and H2O in gasifying agents, the biomass mixing ratio and energy efficiency can be improved.
Article
Energy & Fuels
Hyunwook Park, Euijoon Shim, Junsun Lee, Seungmook Oh, Changup Kim, Yonggyu Lee, Kernyong Kang
Summary: The combination of a double injection strategy and a large-squish piston significantly improved brake thermal efficiency and reduced methane emissions, mainly by improving combustion loss.
Article
Chemistry, Applied
Di Wei, Zekun Jia, Zhao Sun, Yanxiu Gao, Guoqing Wang, Liang Zeng
Summary: The calcium looping (CL) gasification process is an efficient method for synthetic natural gas (SNG) production with lower water purification requirements and capital investment compared to conventional processes.
FUEL PROCESSING TECHNOLOGY
(2021)
Review
Chemistry, Multidisciplinary
Turkan Kopac
Summary: Utilizing bio-wastes to produce microporous carbons for methane storage is a viable and promising method, which is of significant importance for the application of NG in the transportation sector.
Article
Environmental Sciences
Xiaochi Zhou, Seungju Yoon, Steve Mara, Matthias Falk, Toshihiro Kuwayama, Travis Tran, Lucy Cheadle, Jim Nyarady, Bart Croes, Elizabeth Scheehle, Jorn D. Herner, Abhilash Vijayan
Summary: This study focused on measuring methane emissions from non-associated natural gas well pads in California, finding that a small number of active well pads were responsible for the majority of emissions. The study also detected methane emissions from idle well pads with smaller magnitudes, suggesting the importance of identifying and fixing leaks to reduce emissions. Mobile measurement techniques proved to be effective in detecting emissions from more well pads compared to optical gas imaging cameras, indicating their potential in supporting leak detection and repair programs.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Biotechnology & Applied Microbiology
Gwendolyn J. Gregory, R. Kyle Bennett, Eleftherios T. Papoutsakis
Summary: The abundant natural gas reserves and increased biogas production have led to a growing interest in using methane as an industrial feedstock. Methane can be used directly for fermentation or converted to methanol via biological or chemical means. Synthetic methylotrophs, or non-methylotrophic platform microorganisms like E. coli, have been engineered to overcome the limitations of native methylotrophs for industrial applications. This review discusses recent progress in synthetic methylotrophy and the strategies for realizing the industrial potential of synthetic methylotrophs and methanotrophs.
METABOLIC ENGINEERING
(2022)
Article
Energy & Fuels
Jie Wang, Ziyi Yao, Runpu Gong, Panyang Guo, Houshun Jiang, Yang Wang
Summary: This paper develops a high-efficiency hydrate inhibition drilling fluid system based on the evaluation and analysis of the synergistic effect between commonly used kinetic inhibitors and thermodynamic inhibitors. The results provide a reference for solving the stability and safety problems in the process of hydrate drilling.
Article
Energy & Fuels
Jie Liu, Qiang Guo, Jiayong Guo, Fan Wang
Summary: This study optimized the parameters of a diesel/natural gas dual fuel engine using a combination of genetic algorithm and 3D CFD engine combustion simulation. The results showed that diesel injection timing is postponed with increasing pilot diesel quantity, and specific energy consumption is achieved within certain fuel ratio and injection timing ranges. The open bowl geometry was preferred for dual fuel combustion, while compression ratios and EGR rates concentrated to optimal values and swirl ratios showed wider distribution. Temporal and spatial analysis indicated that higher diesel fuel ratio promoted methane oxidation, while lower EGR rate and higher diesel injection quantity also played a role in methane oxidation.
Article
Energy & Fuels
Lina Reichenberg, Adam Wojciechowski, Fredrik Hedenus, Filip Johnsson
Article
Thermodynamics
V. Johansson, L. Thorson, J. Goop, L. Goransson, M. Odenberger, L. Reichenberg, M. Taljegard, F. Johnsson
Article
Chemistry, Applied
Anna Kohler, David Pallares, Filip Johnsson
FUEL PROCESSING TECHNOLOGY
(2017)
Article
Engineering, Chemical
Stefania O. Gardarsdottir, Ruben M. Montanes, Fredrik Normann, Lars O. Nord, Filip Johnsson
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2017)
Article
Energy & Fuels
Alberto Alamia, Stefania Osk Gardarsdottir, Anton Larsson, Fredrik Normann, Henrik Thunman
Article
Energy & Fuels
Stefania O. Garoarsdottir, Lisa Goransson, Fredrik Normann, Filip Johnsson
Article
Energy & Fuels
Johan M. Ahlstroem, Alberto Alamia, Anton Larsson, Claes Breitholtz, Simon Harvey, Henrik Thunman
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2019)
Proceedings Paper
Green & Sustainable Science & Technology
Fredrik Normann, Stefania Osk Gardarsdottir, Ragnhild Skagestad, Anette Mathisen, Filip Johnsson
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
(2017)
Proceedings Paper
Green & Sustainable Science & Technology
Filip Johnsson, Ragnhild Skagestad, Nils Henrik Eldrup, Jan Kjarstad
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
(2017)
Article
Energy & Fuels
Joel Goop, Mikael Odenberger, Filip Johnsson
Article
Environmental Studies
Johan Rootzen, Filip Johnsson
Article
Energy & Fuels
Dmytro Romanchenko, Mikael Odenberger, Lisa Goransson, Filip Johnsson
Article
Energy & Fuels
Lisa Goransson, Joel Goop, Mikael Odenberger, Filip Johnsson
Article
Energy & Fuels
M. Taljegard, L. Goransson, M. Odenberger, F. Johnsson
Article
Green & Sustainable Science & Technology
Emil Nyholm, Mikael Odenberger, Filip Johnsson
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.