Article
Thermodynamics
Xiaolong Lin, Huchao Song, Lukai Wang, Yifan Guo, Yinhe Liu
Summary: A novel double reheat power plant has been proposed to increase thermal efficiency and reduce exergy loss, improving power supply efficiency by 0.81% points compared to conventional units under turbine heat acceptance load. The new system also demonstrates better thermodynamic performance under partial load conditions, with a break-even point of 5.28 years and a net present value of 10.98 M$.
APPLIED THERMAL ENGINEERING
(2021)
Article
Chemistry, Physical
Huaqing Qi, Hongwei Xu, Jifu Zhang, Zaifeng Xu, Limei Zhong, Peizhe Cui, Zhaoyou Zhu, Yinglong Wang
Summary: This study proposes hydrogen production processes by plasma gasification of three different algae and evaluates their thermodynamic efficiency and economic benefits. The results show that the plasma gasification of Enteromorpha has the best performance and high exergy efficiency, with better economic benefits compared to the other two processes.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Zhen Wu, Pengfei Zhu, Jing Yao, Sandra Kurko, Jianwei Ren, Peng Tan, Haoran Xu, Zaoxiao Zhang, Meng Ni
Summary: The novel methanol utilization technology proposed in this work, based on a hybrid fuel cell system, shows higher energy conversion efficiency and good economic viability. Through thermodynamic analysis, it is shown to have a lower specific electric energy cost compared to traditional methanol steam reforming-PEMFC power plants in the case of Northwest China.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Automation & Control Systems
Sarah Rodgers, Alexander Bowler, Fanran Meng, Stephen Poulston, Jon McKechnie, Alex Conradie
Summary: This paper presents a machine learning methodology for generating unbiased projections of future price distributions. The method uses an ensemble of neural network models trained on historical price data and long-term crude oil projections. The proposed approach successfully captures the stochastic and deterministic elements of commodity prices. The results demonstrate the importance of avoiding subjective judgment and heuristics when assessing price uncertainty in techno-economic analyses.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Energy & Fuels
Zhidong Chen, Yichen Hou, Mingyu Liu, Guoqiang Zhang, Kai Zhang, Dongke Zhang, Lijun Yang, Yanqiang Kong, Xiaoze Du
Summary: A system integrating sewage sludge drying, incineration, and power generation was proposed and analyzed in terms of thermodynamics and economics. Among the three alternative schemes considered, Scheme 2 showed the best performance with the lowest electricity cost and a relatively short payback period.
Article
Thermodynamics
Kebo Ma, Tao Shi, Yusha Hu, Sheng Yang, Weifeng Shen, Chang He, Yue Liu, Zhiqiang Liu, Jingzheng Ren
Summary: The utilization of poultry litter to produce energy or value-added products has the potential for energy saving and environmental protection. Various integrated processes were studied, and the highest efficiency and lowest equipment cost were found in the steam gasification for hydrogen (SG-H) process.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Jinwoo Park, Haneul Mun, Junghwan Kim, Inkyu Lee
Summary: The study proposes an advanced natural gas liquefaction process utilizing liquid air, which improves efficiency, reduces costs, and enhances sustainability by incorporating cold energy recovery.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Chemical
Mohammad Rezaei Ardani, Sheikh Abdul Rezan Sheikh Abdul Hamid, Dominic C. Y. Foo, Abdul Rahman Mohamed
Summary: A novel method for producing TiH2 from the reduction of titanium tetrachloride with magnesium hydride in a hydrogen atmosphere was proposed, showing the feasibility of forming TiH2 at low temperatures and identifying key factors influencing its formation. Furthermore, a technoeconomic study revealed that the production of TiH2 from TiCl4 using metal hydrides is both technically and economically viable.
Article
Thermodynamics
Wenjun Duan, Qinting Wu, Peishi Li, Peiwen Cheng
Summary: This study proposed a novel full-chain blast furnace slag utilization system to address the issues of waste heat recovery and high value-added production. The system achieved cascade recovery of slag waste heat and synthesized two high value-added products simultaneously. Economic analysis showed the feasibility and profitability of the system, highlighting its potential in energy saving and emission reduction in the iron and steel industry.
Article
Chemistry, Physical
Xiaodong Hong, Vaishali B. Thaore, Iftekhar A. Karimi, Shamsuzzaman Farooq, Xiaonan Wang, Adam K. Usadi, Bryan R. Chapman, Robert A. Johnson
Summary: Hydrogen is a promising low carbon fuel option with geographically distributed production and consumption, making its regional and global hydrogen supply chains vital for potential future energy markets. An in-depth analysis of options for transporting hydrogen, not producing it, from export to import terminals is conducted, considering infrastructure and energy requirements. Different transport modes are compared for energy penalty, carbon avoidance, and cost under various scenarios.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Engineering, Electrical & Electronic
S. Berclin Jeyaprabha, Jovica V. Milanovic
Summary: This paper presents a probabilistic approach for optimal sizing and techno-economic assessment of PV-based microgrid, considering the potential environmental impact. It demonstrates the effectiveness of multi-year data in the analysis and facilitates informed decision making.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Thai Ngan Do, Chanhee You, Jiyong Kim
Summary: In this study, a framework for CO2 capture and utilization for energy products (CCU4E) was developed and examined for its techno-economic and environmental performance. A total of 72 CO2-to-fuel pathways were analyzed to understand the trade-off between economic output and environmental impact, with a focus on the role of H2 in mitigating CO2eq emissions and economic potential. The study also highlighted the significance of green hydrogen price as a key factor in future CCU4E for reducing CO2eq emissions at a more stable and lower cost.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Thermodynamics
Wang Jing, Duan Liqiang, Yang Jinfu, Yang Ming, Jing Yutian, Tian Liguo
Summary: This paper investigates the exergy loss problem caused by high superheat degrees in the 700 degrees C double reheat advanced ultra-supercritical power generation technology. Two optimization systems are proposed and analyzed. The results show that system 2 performs better, reducing coal consumption rate and increasing power generation efficiency.
JOURNAL OF THERMAL SCIENCE
(2023)
Article
Energy & Fuels
Sarmad Hanif, M. J. E. Alam, Vanshika Fotedar, Alasdair Crawford, Charlie Vartanian, Vilayanur Viswanathan
Summary: This paper investigates the impact of partial failure of a large multistring ESS on the assigned service and develops strategies to adjust the ESS control duty cycles for reducing such impacts. It proposes a novel two-stage framework that plans for the multistring failure using robust optimization theory and then adjusts in real-time using a rule-based algorithm, based on the real-time information on the power availability of the string.
Article
Green & Sustainable Science & Technology
Muhammad Usman, Shuo Cheng, Sasipa Boonyubol, Muhammad Aziz, Jeffrey S. Cross
Summary: Biodiesel, as a promising eco-friendly alternative to diesel, faces the obstacle of high feedstock costs. This study evaluated the production costs of biodiesel from dewatered and wet sewage sludge in Japan, and proposed a sewage sludge biorefinery strategy integrated within Japanese wastewater treatment plants. The results showed that biodiesel production from sewage sludge is nine times cheaper than Japan's current biodiesel production cost.
JOURNAL OF CLEANER PRODUCTION
(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.