Article
Green & Sustainable Science & Technology
Tao Hai, Hayder A. Dhahad, El-Awady Attia, Banar Fareed Ibrahim, Abdullah Mohamed, Sattam Fahad Almojil, Abdulaziz Ibrahim Almohana, Abdulrhman Fahmi Alali, Babak Farhang
Summary: It has been proven that biomass energy can be used for sustainable conversion of chemical energy into electricity, heating, and cooling. This research uses efficient ejector-based-organic cycles to exploit the chemical energy contained in biomass, achieving heating, cooling, and electricity generation. The study finds that biomass characteristics have a measurable impact on system performance.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Godfrey T. Udeh, Stavros Michailos, Derek Ingham, Kevin J. Hughes, Lin Ma, Mohamed Pourkashanian
Summary: The study proposed a novel mu-CCHP configuration that hybridizes a Stirling engine with an ORC to utilize waste heat for additional power generation. Through detailed sensitivity analysis, it was found that the hybridization of SE and ORC significantly improved energy utilization and reduced CO2 emissions in the system.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
D. Perrone, T. Castiglione, P. Morrone, F. Pantano, S. Bova
Summary: The goal of this paper is to analyze the performance of a micro combined cooling, heating, and power (CCHP) system using a woody biomass gasification process. Experimental analysis and numerical modeling were conducted to assess the system's efficiency and the impact of biomass composition. The results show that the gasifier and engine efficiency are significantly affected by the biomass composition, while the electrical efficiency remains relatively stable. The study also investigates the economic feasibility and shows that the biomass-based CCHP system is affordable, with a payback period of about 2 years in the current energy cost scenario.
APPLIED THERMAL ENGINEERING
(2023)
Article
Environmental Sciences
Abid Farooq, Seong-Ho Jang, See Hoon Lee, Sang-Chul Jung, Gwang Hoon Rhee, Byong-Hun Jeon, Young-Kwon Park
Summary: The study introduces an environmentally friendly method for food waste disposal through catalytic steam gasification using various types of Ni-loaded chars. The treated chars showed high hydrogen generation efficiency and prevented coke formation, potentially offering a solution for improving gas yield and hydrogen generation.
Article
Thermodynamics
Dian Zhong, Kuo Zeng, Jun Li, Xinyi Yang, Yang Song, Youjian Zhu, Gilles Flamant, Ange Nzihou, Haiping Yang, Hanping Chen
Summary: The study compares the energetic, economic, and ecological performance of a solar gasification system with a traditional system. Results show that a biomass-based, solar-assisted liquid fuel production system offers higher productivity potential and energetic performance, but the product prices still need to consider carbon tax.
Article
Green & Sustainable Science & Technology
Nima Asgari, Rahim Khoshbakhti Saray, Siamak Mirmasoumi
Summary: An exergoeconomic assessment of a multigeneration system using a mixture of natural gas and syngas from municipal solid waste gasification was conducted under different climate conditions. The system's exergy efficiency, total cost rate, and payback period were evaluated for different scenarios. Optimization was performed using a genetic algorithm, resulting in improved exergy efficiency and total cost rate, albeit with a slightly longer payback period. Detailed parametric studies for both scenarios were also provided.
Article
Energy & Fuels
Diego Perrone, Teresa Castiglione, Pietropaolo Morrone, Ferdinando Pantano, Sergio Bova
Summary: This paper analyzes the performance of an innovative micro-combined cooling, heating, and power (CCHP) system fueled by syngas from woody biomass. A numerical model is developed to conduct an energetic, economic, and environmental analysis. The results show that the system is most efficiently utilized when the thermal load is uniform. However, in cases of non-uniform thermal demand, there is an electric surplus. The use of a heat pump can compensate for this issue and significantly reduce CO2 emissions.
Article
Thermodynamics
Junxi Jia, Manosh C. Paul
Summary: A combined cooling, heating and power system based on biomass gasification is proposed. The system evaluates the energy and exergy efficiencies and economic performance under different working conditions. The inclusion of a Stirling engine and the recycling of weak solution contribute to improved power output and efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Construction & Building Technology
Xiaoxu Ma, Shuqin Liu, Sipeng Zhao, Qinghui Zong, Hongtao Liu
Summary: The motivation of this paper is to select a reasonable configuration of distributed generators (DGs) for a combined cooling, heating, and power supply system with a micro-grid (CCHP-MG). In this study, uncertainties models, improved operation strategy, and algorithm are introduced. The results show that the cooperation of the double-layer operation strategy and INSGA-III algorithm has better performance with superiorities of economy and reliability.
ENERGY AND BUILDINGS
(2023)
Article
Chemistry, Physical
Somayeh Parsa, Samad Jafarmadar, Elaheh Neshat
Summary: In this study, a multi-generation system utilizing biomass as the primary fuel was developed for power, heat, and hydrogen production. The system consists of a biomass gasification unit, dual fuel HCCI engine, Rankine cycle, and waste heat recovery units. Experimental results show high efficiencies for the gasification unit and HCCI engine, and the use of hydrogen as an additional fuel improves engine performance and reduces emissions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Chemical
Qiming Qian, Jingzheng Ren, Chang He
Summary: To address the global issue of plastic waste, waste to wealth techniques are being investigated. Different processes have been developed and analyzed through techno-economic analysis. Among them, GFP-CC and GFP-ME show higher energy efficiencies compared to INP-CC and INP-ME. However, from an economic standpoint, GFP-ME and INP-ME are not economically attractive without a larger subsidy fee or higher methanol selling price. The price of methanol and hydrogen have the greatest impact on economic performance, with INP-ME process being more resilient.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Thermodynamics
Armin Ebrahimi, Bahram Ghorbani, Masoud Ziabasharhagh, Mohammad Javad Rahimi
Summary: A comprehensive structure integrating SOFC, Stirling engine, ORC, and multi-effect distillation using biomass gasification was developed, producing significant net power and water production. The system showed high total electrical efficiency and total exergy efficiency, with parametric analysis indicating the impact of moisture content on system performance.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Tao Shi, Yue Liu, Ao Yang, Shirui Sun, Weifeng Shen, Jingzheng Ren
Summary: This study proposes a gasification-based sludge to methanol production process, and through economic, environmental, and exergy analysis, it is found that the process has potential and can be used for future sludge treatment planning.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Chemistry, Physical
Rezgar Hasanzadeh, Parisa Mojaver, Ata Chitsaz, Mehran Mojaver, Mohammad Jalili, Marc A. Rosen
Summary: This modeling study explores and optimizes the gasification performance of a rice husk and low-density polyethylene waste composite. The results show that increasing the composition ratio of rice husk and polyethylene waste improves gasification performance, energy efficiency, and reduces carbon dioxide emissions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Environmental
Peng Lv, Yonghui Bai, Jiaofei Wang, Xudong Song, Weiguang Su, Guangsuo Yu
Summary: In this study, the applicability of chicken manure leachate (CML) in the catalytic gasification of coal gasification fine slag residue carbon (RC) was investigated. It was found that CML can significantly improve the gasification reactivity of RC by promoting the formation of more active sites on the RC surface, thus accelerating the gasification reaction rate. This research is of great significance for the classification and resource utilization of coal gasification fine slag.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(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.