Article
Thermodynamics
Seokwon Yun, Sunghoon Lee, Mun-Gi Jang, Jin-Kuk Kim
Summary: This work systematically evaluates the economic implications of introducing absorption and membrane capture technologies to a power plant. Cost diagrams are used to estimate the cost of electricity, CO2 capture, and avoidance cost of CO2 capture-integrated power plant, allowing for fair comparison of different capture technologies. The detailed breakdown of key costing elements between the power plant and the capture plant provides insights for research and development direction.
Article
Engineering, Chemical
Jianlin Li, Ti Wang, Pei Liu, Zheng Li
Summary: A universal and hybrid post-combustion capture model is proposed in this study, based on first-principle approach and validated using experimental data. The analysis suggests that tower height should be designed in conjunction with flue gas flow, and the gas-liquid ratio can be optimized to reduce reboiler power under a certain capture target.
FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Xuelei Zhang, Piaopiao Song
Summary: This paper investigates the effectiveness of CaL technology for post-combustion CO2 capture in existing power plants and analyzes the impact of heat integration on efficiency penalty. Through simulation and sensitivity analysis, the study identifies the optimum scheme for integrating the capture unit into coal-fired power plants, resulting in significant reductions in energy consumption and efficiency penalties for CO2 capture.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2023)
Article
Biochemistry & Molecular Biology
Maytham Alabid, Calin-Cristian Cormos, Cristian Dinca
Summary: This paper analyzed the technical and economic integration of spiral wound membranes in a coal-fired power plant. The study found that using two serialized stages can achieve high efficiency and high CO2 purity in capturing process, while decreasing the overall plant efficiency and increasing the levelized cost of electricity.
Article
Green & Sustainable Science & Technology
Yuhang Yang, Tao Du, Yingnan Li, Qiang Yue, Heming Wang, Liying Liu, Shuai Che, Yisong Wang
Summary: In order to mitigate global warming and climate change, the steel industry needs to urgently reduce CO2 emissions. This study evaluates the application value and feasibility of the MEA-CO2 capture process in the iron and steel industry through techno-economic assessment and exergy analysis. Four scenarios are designed, considering heat integration and capture scale. The process achieves a gas capture rate of 90% and a CO2 product purity of 98.3%. The maximum annual CO2 emission reduction is about 7.65 million tons. The study also provides insights on cost reduction and process improvement.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Thermodynamics
Liheng Guo, Yudong Ding, Qiang Liao, Xun Zhu, Hong Wang
Summary: A new heat supply strategy for the CO2 capture process was proposed and evaluated, showing the effectiveness of utilizing internal heat exchangers to enhance the performance of a two-stage heat pump. Lowering the CO2 desorption temperature can significantly improve the COP of the heat pump system and overall thermodynamic performance.
Article
Thermodynamics
Chaowei Wang, Song He, Lianbo Liu, Xiang Li, Lin Gao
Summary: With the increasing penetration of renewable energy in China's power system, flexible operation of coal-fired power plants with CO2 capture is crucial for peak-regulating. This paper investigates the interactions between power generation and CO2 separation units under partial load, revealing that adjusting the extraction position can improve system performance. The study identifies the most efficient steam extraction schemes for different loads, providing insights for the deployment of large-scale post-combustion capture projects.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Chemical
Natsayi Chiwaye, Thokozani Majozi, Michael O. Daramola
Summary: The study introduces a superstructure-based optimisation model for the CO2 capture process using N-2-selective and CO2-selective membranes. By automatically selecting membranes for each stage, a hybrid membrane CO2 capture process is achieved, leading to significant reduction in capture cost.
JOURNAL OF MEMBRANE SCIENCE
(2021)
Article
Thermodynamics
Xuelei Zhang, Zhuoyuan Zhang, Gaofeng Wang
Summary: This study proposes a novel combined cycle for CO2 capture from coal-fired power plants, which integrates a supercritical CO2 Brayton cycle and an organic Rankine cycle. The results show promising exergy efficiency and economic performance. The proposed combined cycle has the potential to compete with other carbon capture technologies.
Article
Green & Sustainable Science & Technology
Branimir Tramosljika, Paolo Blecich, Igor Bonefacic, Vladimir Glazar
Summary: This article presents a performance analysis of a future planned advanced ultra-supercritical coal-fired power plant with post-combustion CCS technology, highlighting the impact on net efficiency and CO2 emissions. The study also discusses various strategies to improve CO2 capture process to minimize net efficiency loss.
Article
Chemistry, Multidisciplinary
Mohammadamin Zarei, Ali Cherif, Vahid Khaligh, Taeksang Yoon, Chul-Jin Lee
Summary: This paper provides a techno-economic analysis of carbon capture technologies for coal-fired power plants. Key findings include the necessity of carbon capture even in ultrasupercritical plants, the significant impact of capacity factor on levelized cost of energy, and the underestimation of costs when deterministic estimates are used.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Review
Chemistry, Multidisciplinary
Amit Kumar, Arun Kumar Tiwari
Summary: The foremost purpose of this review study is to summarize the potential of solar thermal energy in coal-fired power plants retrofitted with post-combustion carbon-capturing (PCC) system to mitigate carbon dioxide gas. The integration of solar thermal energy in PCC retrofitted coal-fired plants is utilized to eliminate the energy penalty by offsetting the thermal energy requirement of the reboiler, and it seems to be a suitable method of introducing renewable energy to existing power plants.
JOURNAL OF CO2 UTILIZATION
(2022)
Article
Thermodynamics
Wenfeng Fu, Lanjing Wang, Yongping Yang
Summary: This study proposed a modified thermal system integration scheme for double reheat coal-fired power plants with full-scale post-combustion CO2 capture, which significantly reduced energy consumption and thermal efficiency penalty. By optimizing parameters, the newly designed unit achieved a notable reduction in coal consumption and CO2 emission rates compared to a conventional retrofitted unit.
Article
Thermodynamics
Jing Zhou, Meng Zhu, Lei Chen, Qiangqiang Ren, Sheng Su, Song Hu, Yi Wang, Jun Xiang
Summary: This study aims to construct the performance analysis and system optimization methods of supercritical CO2 (S-CO2) coal-fired CHP plants with MEA-based post-combustion carbon capture and storage (CCS) that has adapted for various S-CO2 CHP cycles. Results show that exergy efficiency of S-CO2 DPR coal-fired CHP units at 0% and 100% heating loads (HL) are 43.22% and 46.21%, increasing by 9.81% and 1.01% compared with S-CO2 recompression CHP units, respectively.
Article
Energy & Fuels
Chu-Yun Cheng, Chia-Chen Kuo, Ming-Wei Yang, Zong-Yu Zhuang, Po-Wei Lin, Yi-Fang Chen, Hong-Sung Yang, Cheng-Tung Chou
Summary: The pressure swing adsorption (PSA) process was used to capture carbon dioxide (CO2) from the flue gas of a coal-fired power plant to reduce CO2 emissions. The extended Langmuir-Freundlich isotherm was used for calculating the equilibrium adsorption capacity, and the linear driving force model was used to describe the gas adsorption kinetics. Additionally, central composite design (CCD) was employed to determine optimal operating conditions for producing high purity CO2 and N2 products.
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.