Article
Energy & Fuels
Gokce Kahvecioglu, David P. Morton, Michael J. Wagner
Summary: The study found that using real-time conditional point forecasts of DNI and prices, as well as updating every 6 hours, can significantly improve the annual revenue of concentrating solar power systems, increasing by 4%-12% and 6%-19% respectively; in addition, considering the terminal inventory in the optimization model also helps increase annual revenue.
Article
Thermodynamics
Nan Zhang, Liqiang Duan, Chang Huang, Hongjuan Hou, Gang Yu, Zeyu Ding, Jianhua Wang, Jie Qu
Summary: The study focuses on the dynamic model, operation strategies, and performance of integrated solar combined-cycle (ISCC) systems under varying meteorological conditions. Results indicate that the ISCC system with a heat storage system is more stable and secure during operation compared to systems without heat storage.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Mario Cascetta, Fabio Licheri, Rosa P. Merchan, Mario Petrollese
Summary: This study analyzes the expected performance of an innovative PTES system integrated with a CSP plant. The results demonstrate the technical feasibility of the integration and the ability of the system to participate in energy arbitrage.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Zhen Wen Zhang, Jie Sun, Rui Lin Wang, Jin Jia Wei
Summary: The study proposes a generalized model and unified expression for the ISCC system, revealing the effects of allocation and superposition on performance, ultimately providing theoretical guidance for future applications.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Anass Zaaoumi, Mohamed Asbik, Hajar Hafs, Abdellah Bah, Mohammed Alaoui
Summary: The paper evaluates the thermal performances of the solar field of the ISCC power plant at ABM in Morocco for the year of 2015, using mathematical modeling and COMSOL Multiphysics software to simulate the energy balance equations of the solar receiver, validate the model, and conclude that the predictions are accurate.
Article
Thermodynamics
Alicia Crespo, Daniel Gibert, Alvaro de Gracia, Cesar Fernandez
Summary: This study applies deep reinforcement learning (DRL) to control a solar-driven seasonal sorption thermal energy storage (TES) system for the first time and compares it with a traditional optimized rule-based control strategy. The results show that the DRL strategy significantly reduces the operational costs of the system, but performs worse once the sorption TES is fully discharged.
APPLIED THERMAL ENGINEERING
(2024)
Article
Chemistry, Multidisciplinary
Evanie Franz, Anne Kunz, Nils Oberhof, Andreas H. Heindl, Manon Bertram, Lukas Fusek, Nicola Taccardi, Peter Wasserscheid, Andreas Dreuw, Hermann A. Wegner, Olaf Brummel, Joerg Libuda
Summary: This study investigated the electrochemically triggered energy release from an azothiophene-based MOST system and found that back-conversion was possible through the electron-catalyzed reaction channel. The MOST system was shown to withstand 100 conversion cycles without detectable decomposition of the photoswitch.
Article
Energy & Fuels
Xufei Yang, Dongliang Sun, Jingfa Li, Changyong Yu, Yajun Deng, Bo Yu
Summary: This study presents a demonstration project of a ground source heat pump heating system with seasonal and diurnal solar thermal energy storage for greenhouse heating. Experimental results show that this heating system has advantages for greenhouses in cold regions and improves system performance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Meisam Sadi, Ahmad Arabkoohsar, Asim Kumar Joshi
Summary: In agricultural areas with hot and arid weather, utilizing a solar-powered absorption chiller can effectively address the issue of agricultural product storage. Optimization shows that a 4 TR chiller with HP-ETC collectors and a 3 m³ cold storage can efficiently meet the cooling demand for preserving potatoes and apples, with a payback period of 11 years.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Review
Energy & Fuels
Devendra Raut, Vilas R. Kalamkar
Summary: Refrigeration is an important part of human comfort, but it consumes nearly 20% of the commercial industry's total energy consumption. The use of fossil fuels for refrigeration systems contributes to global warming, while refrigerants also contribute to global warming and ozone layer depletion. The vapor absorption refrigeration system with water-lithium bromide has the potential to eliminate harmful residuals and carbon emissions. Solar energy, although intermittent, can be used with latent heat storage technology to ensure continuous operation. This review provides insights into suitable phase change materials, storage tank designs, and performance enhancement techniques for integrating latent heat storage with vapor absorption refrigeration systems.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Evanie Franz, Corinna Stumm, Fabian Waidhas, Manon Bertram, Martyn Jevric, Jessica Orrego-Hernandez, Helen Hoelzel, Kasper Moth-Poulsen, Olaf Brummel, Joerg Libuda
Summary: The study presents a MOST system combining solar energy conversion, storage, and release in one molecule, along with a catalyst that is controllable and stable over many operation cycles. The research demonstrates the ability to trigger energy release with high activity on a gold surface and tunable release rate by applying an external potential. Durability tests show stable performance over 1000 storage cycles with minimal activity decrease.
Article
Thermodynamics
Saeed Nekoonam, Ramin Roshandel
Summary: Utilizing heat storage units in solar energy systems can address the challenges of fluctuation and uncertainty in solar energy. Phase change materials (PCMs) offer high storage efficiency and stability. Optimization of a multi-PCM energy storage unit can improve charging efficiency and overall performance.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2021)
Article
Green & Sustainable Science & Technology
Satya Sekhar Bhogilla
Summary: Thermo-chemical based thermal energy storage systems are receiving attention due to their higher energy density. Metal hydride based thermal energy storage systems are energy-efficient, compact, environmentally friendly, and available over a wide operating temperature range, making them ideal for concentrating solar power plants.
Article
Energy & Fuels
Saeed Nekoonam, Roghayeh Ghasempour
Summary: The study analyzed the performance of a slab plate heat exchanger under winter conditions through numerical modeling and validation with experimental data. The optimization effect of multiple phase change materials and variable thickness plate combinations were investigated.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Evanie Franz, Corinna Stumm, Fabian Waidhas, Manon Bertram, Martyn Jevric, Jessica Orrego-Hernandez, Helen Holzel, Kasper Moth-Poulsen, Olaf Brummel, Jorg Libuda
Summary: Molecular solar thermal (MOST) systems combine conversion, storage, and release of solar energy in one molecule, opening up new application fields. A MOST/catalyst couple is presented, which exhibits controllable, selective, and stable energy release. The energy is stored in a tailor-made MOST system and released heterogeneously catalyzed on an Au(111) surface, with the release rate tunable by applying an external potential.
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.