Article
Thermodynamics
Kamal Abudu, Uyioghosa Igie, Ioannis Roumeliotis, Richard Hamilton
Summary: Improvements in gas turbine flexibility, achieved through minimum environmental load and ramp-up rates, have increased the power generation performance of CCGT. The study shows that flexibility enhancements in the gas turbine can also be applied to the overall CCGT operation, despite constraints from the bottoming cycle.
APPLIED THERMAL ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Peng Yue, Juan Ma, Changhu Zhou, Jean W. Zu, Baoquan Shi
Summary: The study focused on the combined damage mechanism reflecting the fatigue behavior of aero-engine turbine blades, presenting a combined high and low cycle fatigue life prediction method and establishing a dynamic reliability model. Experimental and field data were used to validate the accuracy of both models.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2021)
Article
Thermodynamics
Xinwei Wang, Liqiang Duan
Summary: A new method of gas turbine interstage extraction gas is proposed to improve the peak regulation performance of GTCC-based CHP system. The results indicate that this method helps expand the heat and power operation regions of the system, increasing the integration of renewable energy.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Nianci Lu, Lei Pan, Ahmad Arabkoohsar, Zhenxiang Liu, Jiaxing Wang, Simon Pedersen
Summary: This article proposes connecting district heating networks to combined cycle gas turbine (CCGT) plants as a thermal energy storage capacity, improving the flexibility of CCGTs. It focuses on developing an appropriate control strategy to effectively control the power-heat conversion and meet the heat and power demands of the connected network. By using load signal decomposition and synergistic load response, the proposed control strategy can reduce the gap between grid demand and CCGT power and ensure grid stability.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Lei Qi, Jingnan Dong, Wenpeng Hong, Mingtian Wang, Tao Lu
Summary: A cycle calculation model of a rotating detonation gas turbine was established based on the component characteristic curves of a single shaft gas turbine. The results showed that the rotating detonation gas turbine had higher cycle performance and lower compressor pressure ratio compared to traditional gas turbines. Sensitivity analysis revealed that turbine efficiency had the most significant effect on cycle efficiency increment under the calculated conditions.
Article
Thermodynamics
Song-Hun Cha, Sun-Ik Na, Yeong Ho Lee, Min Soo Kim
Summary: A novel configuration of gas turbine-carbon dioxide combined cycle power plant utilizing LNG cold energy is proposed, enhancing power output and efficiency through gas turbine inlet air cooling and heat recovering system. Compared to traditional systems, this configuration increases both relative power output and efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Zhitao Wang, Lei Qi, Shizheng Liu, Wenpeng Hong, Shucheng Wang
Summary: A cycle calculation model was developed for a methane-air directly mixing rotating detonation gas turbine. The model combined two-dimensional numerical simulations of the rotating detonation combustor with a convergent inlet structure. The controlled variable method was used to investigate the cycle performance improvement for different component parameters compared to a traditional gas turbine. The results showed that the cycle efficiency increasing rates were all more than 11.5% under simulated conditions. The turbine efficiency was found to be the most significant factor for cycle performance improvement, while the compressor efficiency had a stable influence. The compressor pressure ratio and equivalence ratio of the rotating detonation combustor had different influence weights on cycle efficiency and net power increments.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Mechanical
Xue-Qin Li, Lu-Kai Song, Guang-Chen Bai
Summary: Probabilistic combined cycle fatigue (CCF) damage evaluation involves complex simulations of low cycle fatigue (LCF) damage, high cycle fatigue (HCF) damage, and cumulative damage. This study proposes a deep learning regression-stratified strategy (DLR-SS) to improve the efficiency and accuracy of the evaluation. The DLR-SS approach reduces nonlinearity and considers the correlated relationships between LCF and HCF damages.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
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
Nuclear Science & Technology
Jeremy Henry Owston
Summary: This paper investigates the compatibility of combining a modified commercial gas turbine with a prismatic High Temperature Gas Reactor (HTGR) with a nitrogen coolant, as well as the transient response of the combined reactor and turbine combination to operational power transients under various control methodologies. The analysis methodology involves turbine gas dynamics, lumped thermal mass, and a point reactor kinetic model built within the Matlab and Simulink modelling environment, providing estimates for transient performance of output power, coolant mass flow, and heat transfer properties. The study demonstrates the potential of using current commercial gas turbine products in combination with a prismatic HTGR for minimizing development risk and achieving high system efficiency.
NUCLEAR ENGINEERING AND DESIGN
(2022)
Article
Energy & Fuels
Min-Jung Pyo, Seong-Won Moon, Tong-Seop Kim
Summary: The study investigates technical options integrating power-to-gas processes and gas turbine combined cycle for power generation to reduce greenhouse gas emissions, and conducts operational and economic analyses to evaluate their feasibility and emissions reduction potential.
Article
Thermodynamics
Navaneethan Subramanian, Pawel Madejski
Summary: CCGTs are a type of power plant that combines gas and steam turbines to generate electricity with high efficiency. By incorporating PCCS technology, the power plant can reduce CO2 emissions and achieve negative emissions. The study shows that using syngas for PCCS can lead to negative CO2 emissions in large-scale CCGT power plants.
Article
Thermodynamics
Amit Bhowmick, Balaram Kundu
Summary: A new system for waste heat recovery process, which combines cooling and power cycle, is proposed in this study. The thermodynamic and economic viability of the system is comprehensively analyzed. The results show that the combustion chamber is the major source of irreversibility and there is potential for improvement. A parametric study is conducted to assess the effect of major design parameters, and a multi-objective optimization is performed to determine the overall exergy efficiency and total product cost. The findings provide insights for practical applications and cost-effectiveness.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Du Wang, Yuxuan Hu, Jinkun Zhang, Xin Ren, Zhigang Wang, Mujie Xue, Tingju Wang, Mingyuan Wan
Summary: S-CO2 cycle systems have many advantages, but their coupling with gas turbine power generation systems has been poorly studied. This paper analyzes ten combined cycles for both water and LNG media, and finds that using LNG as the cooling medium can improve energy efficiency.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Review
Energy & Fuels
Frank Kulor, Elisha Didam Markus, Kusakana Kanzumba
Summary: The paper reviews gas turbine power generating technology applications, highlighting the outdated and costly diesel fuel technology and proposing a Hybrid, Dual Nozzle Gas Turbine (HDNGT) Power Generating Plant as a more cost-effective and reliable alternative. It focuses on finding ways to achieve fuel flexibility operations and addresses the current implementation challenges.
Article
Energy & Fuels
Anna Stoppato, Alberto Benato
Article
Chemistry, Multidisciplinary
Alarico Macor, Alberto Benato
APPLIED SCIENCES-BASEL
(2020)
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
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
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
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
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
