Article
Energy & Fuels
Andrea De Lorenzi, Agostino Gambarotta, Emanuela Marzi, Mirko Morini, Costanza Saletti
Summary: This paper presents a hierarchical predictive control architecture for managing cogeneration plants. The feasibility of the proposed approach is investigated by simulating scenarios with different degrees of uncertainty about the actual power request, showing that the controlled system is able to comply with requirements, increase profit, and reduce carbon emissions when the power dispatch is known in advance.
Article
Thermodynamics
Falah Alobaid, Jakob Wieck, Bernd Epple
Summary: This study presents a 2D dynamic process simulation model of a reference combined cycle power plant to investigate the flexibility of cyclic operation. The shutdown procedure of the power plant is investigated for the first time in the literature using APROS software. The developed model is validated with real data from different combined cycle power plants, demonstrating its accuracy in representing the behavior of natural convection in the heat recovery steam generator.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Di Wang, Xinrui Han, Haoyu Li, Xiaoli Li
Summary: To enhance the flexibility of conventional power plants, a dynamic mathematical model is developed and verified using field data. A new coordinated control system with an integrated hot water storage tank is designed to reduce heating load fluctuations caused by unit load changes.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Chenhao Yang, Nailiang Zhuang, Hangbin Zhao, Xiaobin Tang
Summary: A dynamic system model of a lunar surface nuclear power system combined with a Stirling cycle was proposed and simulated under various conditions. The study found that thermal power variations have a nonlinear delay effect on the dynamic system model, and lunar surface temperature significantly impacts the system's operation and response. This research provides a practical tool for transient analysis of lunar surface nuclear reactor power systems and theoretical support for the design of such reactors.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Ting Chen, Anping Wan, Qiang Zuo, Zipeng Tang, Yunchan Shin, Jiahong Fu, Luoke Hu
Summary: A combined cooling system of adsorption cooling system and ice slurry thermal energy storage is proposed to improve the performance and power output of a conventional combined cycle power plant (CCPP). A simplified model is developed to predict the CCPP power output under different inlet air temperatures, which is verified with practical operational data. The power outputs and economic analyses of CCPP-CombC with different cooling energy storage scales are evaluated. For the present CCPP, AdCS with a maximum cooling capacity of 6000 kW and ISTES with 600 GJ of cooling energy storage completely cover the cooling demand of the CCPP. The net profit of the CCPP-CombC increases first and then decreases, with the maximum net profit appearing when the cooling energy storage is 500 GJ.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Ayman Temraz, Falah Alobaid, Jerome Link, Ahmed Elweteedy, Bernd Epple
Summary: Combined cycle power plants are highly efficient and environmentally friendly, supporting renewable energy and grid stability. Dynamic simulation is a useful tool for evaluating the limitations and capabilities of ISCC power plants, allowing for accurate prediction and simulation.
Article
Thermodynamics
Pietropaolo Morrone, Mario Amelio, Angelo Algieri, Diego Perrone
Summary: The aim of the research was to evaluate the energy performance of different combined cycle configurations fueled by natural gas and lignocellulosic biomass. Based on the results, the BIFRCC system was found to be the most suitable option with high biomass efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Chengxu Chen, Zhihua Ge, Youjun Zhang
Summary: Increasing the share of renewable energy in the future electricity market requires measures to maintain grid stability. This study proposes a novel cascade reheat steam extraction system with molten salt thermal energy storage (TES) to improve flexibility in meeting peak shaving needs. Thermal simulation and analysis using EBSILON software were applied to analyze the thermal and peak shaving performance of a 350 MW super-critical combined heat and power (CHP) plant. The results show that the proposed system has higher thermal and exergy efficiencies compared to traditional CHP plants, making it economical for peak shaving under low loads.
APPLIED THERMAL ENGINEERING
(2023)
Article
Environmental Sciences
Gerardo G. Esquivel-Patino, Fabricio Napoles-Rivera
Summary: Using renewable energy technologies such as biomass power generation to combat climate change is an important alternative. This study proposes a matching scheme between a Biogas combined cycle power plant and postcombustion carbon capture process to capture CO2, produce value-added chemicals and fuels. It was found that global warming potential can be reduced through mass integration.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Thermodynamics
Congyu Wang, Jiwei Song
Summary: The operational flexibility of coal-fired combined heat and power plants is crucial for accommodating high levels of renewable energy in the power grid. This study compares two renovations, high back-pressure (HBP) renovation and low-pressure turbine zero power output (LZPO) renovation, in terms of flexibility, energy, and exergy performance. The results show that LZPO renovation has more potential to improve the accommodation of renewable energy and energy efficiency, although it has higher exergy loss compared to HBP renovation. The new renovated plant also enhances the peak-shaving capacity and heating capacity, increases energy utilization efficiency, and reduces coal consumption for power generation.
Article
Thermodynamics
Haiquan Yu, Jianxin Zhou, Fengqi Si, Lars O. Nord
Summary: Combined heat and power dynamic economic dispatch (CHPDED) is a key technology for efficient operation of natural gas combined cycle (NGCC) plants. This study proposes an advanced loads variation capacity model integrated into the CHPDED model, improving feasibility of dispatched demands in NGCC plant operations. Case studies using field operational data demonstrate the effectiveness of the proposed model.
Article
Chemistry, Physical
Anna Yakovleva, Margarita Isaenkova, Roman Minushkin
Summary: The purpose of this research is to analyze the change in residual stresses in the surface layer of steel samples, taking into account the technological heredity effect on the value and sign of residual stresses. The study shows that the combined processing modes significantly affect the sign and value of residual stresses. Recommendations are provided for the use of combined processing in power plant parts.
Article
Thermodynamics
Ali M. M. Qureshy, Ibrahim Dincer
Summary: A thermodynamic modeling is conducted on a newly developed system for hot water, cooling, and electricity production. The parametric studies reveal the maximum useful output power of the turbine to be 5991 kW and the highest heat cooling rate of the evaporator to be 4397 kW.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Thermodynamics
Afshin Abdollahian, Mehran Ameri
Summary: Supplementary firing is a common method to increase power generation in a combined cycle power plant, but it has a negative impact on the overall energy and exergy efficiencies of the system, especially during partial load operation. Studies have shown that supplementary firing can increase power generation and energy efficiency of the steam cycle, but cannot fully compensate for exergy destruction in the cycle.
APPLIED THERMAL ENGINEERING
(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
Mechanics
Francesco De Vanna, Alberto Benato, Francesco Picano, Ernesto Benini
Summary: The work presents a general strategy for designing high-order conservative co-located finite-difference approximations of viscous/diffusion terms for flows with extreme variations. Tests show proposed method outperforms standard discretization in accurately describing flows with variable diffusive properties. This discretization is recommended for flows with highly varying viscosity fields, providing a more robust approximation of diffuse terms.
Article
Energy & Fuels
Giovanna Cavazzini, Francesco Giacomel, Alberto Benato, Francesco Nascimben, Guido Ardizzon
Summary: This study numerically analyzed the inner fluid dynamics of a scroll compressor, revealing the negative impact of variations in axial clearance on fluid flow and compressor performance. Different modeling strategies and numerical models were compared to provide guidelines for designing more efficient scroll compressors.
Article
Chemistry, Multidisciplinary
Anna Stoppato, Alberto Benato, Francesco De Vanna
Summary: The study focuses on assessing the environmental impact of storage systems integrated with renewable energy plants, highlighting the importance of proper definition of functional unit in the analysis. It shows that the integration of storage systems with renewable energy has the potential to improve network performance and reduce energy production costs, but the overall environmental sustainability needs further attention. Environmental concerns regarding electrochemical accumulators, particularly heavy metals and chemical components, are discussed. Additionally, the study emphasizes the positive effects of material reuse and recycling in reducing overall impacts.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Youcef Redjeb, Khatima Kaabeche-Djerafi, Anna Stoppato, Alberto Benato
Summary: The Algerian economy heavily relies on fossil fuels for electricity generation, but the government is pushing for renewable energy development. To support this effort, a mathematical tool called "Improved Rankine Cycle Plant Designer" has been developed to optimize steam and organic Rankine units for comprehensive technical, economic, environmental, and safety performance.
Article
Energy & Fuels
Carola Leone, Giorgio Piazza, Michela Longo, Stefano Bracco
Summary: This study proposes a new methodology to aid the electrification of local public transport by evaluating real drive cycles of traditional buses and simulating the consumption of electric buses, then using the results to design optimal charging infrastructure. The methodology is applied to a case study in Algeciras Bay, where fast-charging infrastructure sizes and locations are proposed based on real measurements. Future developments include considering other bus lines for the defined charging systems.
Article
Green & Sustainable Science & Technology
Giovanni Bianco, Barbara Bonvini, Stefano Bracco, Federico Delfino, Paola Laiolo, Giorgio Piazza
Summary: The EU has proposed a clean energy package to transition from fossil fuels to cleaner energy sources for improving citizens' quality of life and urban livability. Key topics include renewable energy exploitation, building energy performance improvement, national energy and climate plans, polygeneration microgrids, and energy communities. These initiatives aim to optimize the use of green energy sources and reduce energy costs and emissions in urban areas.
Article
Chemistry, Multidisciplinary
Antonio Parejo, Stefano Bracco, Enrique Personal, Diego Francisco Larios, Federico Delfino, Carlos Leon
Summary: This paper proposes a framework for short-term multistep forecasting of electric power consumption and generation in smart grids and microgrids, which is capable of evaluating numerous combinations of inputs to determine the best technique and input set for each case. It is found that using baseline models as inputs for machine learning models can significantly improve forecasting accuracy, achieving up to 62% accuracy improvement compared to other techniques.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Alberto Benato, Alarico Macor
Summary: The study explores the application of biogas produced from anaerobic digestion of biodegradable waste in terms of its impact on human health and the effectiveness of emission reduction technologies. The results show that NOx is the main contributor to damage to human health, and the denitrification system or oxidizing converter is the most cost-effective technology for reducing emissions.
Article
Energy & Fuels
Alberto Benato, Chiara D'Alpaos, Alarico Macor
Summary: Energy production from biogas can make a significant impact in various European countries, especially in Italy. However, current legislation and incentive policies in Italy are hindering the growth of the biogas sector. This study investigates the potential of improving biogas power plants to prolong their operational lifespan.
Article
Green & Sustainable Science & Technology
Alice La Fata, Massimo Brignone, Renato Procopio, Stefano Bracco, Federico Delfino, Riccardo Barilli, Martina Ravasi, Fabio Zanellini
Summary: This paper describes a MATLAB-based Mixed Integer Linear Programming Energy Management System (MB-EMS) for optimizing the operating costs of a polygeneration system. The system is able to handle various parameters and constraints, and can perform complex optimization calculations in a short amount of time. It can be used for both real-time operation and long-term planning.
Article
Energy & Fuels
Marialaura Di Somma, Amedeo Buonanno, Martina Caliano, Giorgio Graditi, Giorgio Piazza, Stefano Bracco, Federico Delfino
Summary: Sector coupling enhances energy system flexibility by integrating different energy sectors, increasing renewables' penetration, and reducing carbon emissions. This paper discusses the stochastic operation optimization of the smart Savona Campus of the University of Genoa using a mixed-integer linear programming model and a multi-objective approach to optimize the operation strategies of various energy technologies.
Article
Energy & Fuels
Alberto Benato, Francesco De Vanna, Anna Stoppato
Summary: In the process of energy transition and tackling climate targets, large-scale variable renewable energy sources need to be combined with energy storage technology to balance supply and demand. The proposed Virtual Power Plant system in this study effectively smoothes the peak power output of solar photovoltaic generation and manages power supply, showing high stability and promising potential.
Article
Engineering, Chemical
Giovanna Cavazzini, Alberto Benato
Summary: Nineteen percent of global final energy consumption is used in buildings for electricity and heat generation, indicating the need for reduced consumption in the building sector. This work demonstrates the benefits of installing a monitoring system in a real operating environment, specifically focusing on a residential building's central heating and cooling system. The data collected and analyzed from installed sensors help detect anomalies, malfunctions, and failures, as well as evaluate the efficiency of the management strategy. The results emphasize the crucial role of data analysis in identifying failures, optimizing management strategies, and predicting machine performance deviations.
Article
Energy & Fuels
Giorgio Piazza, Stefano Bracco, Federico Delfino, Marialaura Di Somma, Giorgio Graditi
Summary: European countries are aiming to achieve important energy targets by increasing energy efficiency, utilizing renewable energy sources, and implementing energy communities. This paper proposes an optimization-based methodology to assess the impact of electric mobility on the optimal design of renewable energy collective self-consumers. The integration of renewable sources, storage systems, and charging infrastructures for electric vehicles is analyzed using a stochastic optimization model, revealing the significant increase in optimal installed size of renewable energy power plants with the presence of electric vehicles.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Physics, Fluids & Plasmas
Alberto Benato, Francesco De Vanna, Ennio Gallo, Anna Stoppato, Giovanna Cavazzini
Summary: The study focuses on the mathematical modeling of thermal energy storage systems. A new and detailed model named TES-PD is proposed, which considers temperature-dependent fluid and storage material properties, improving the prediction of system performance. This is essential for the preliminary design of innovative large-scale storage units operating with thermal storage.
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.
