Review
Energy & Fuels
Pradeep Arjunan, Joselin Herbert Gnana Muthu, Suresh Lal Somanasari Radha, Abhilash Suryan
Summary: The performance of renewable energy systems can be significantly improved by utilizing low-temperature heat sources for power generation. The organic Rankine cycle (ORC) is suitable for this purpose and finds applications alongside solar power, geothermal power, waste heat, and biomass. ORC systems contribute to raising the effectiveness of renewable power sources and enable power generation at lower temperatures, such as on cloudy days. The main difference between ORC and the steam Rankine cycle lies in the working fluid used, with ORC using organic fluids and working at lower temperatures and pressure than the steam Rankine cycle.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Thermodynamics
Noureddine Toujani, Nahla Bouaziz, Lakder Kairouani
Summary: The purpose of this study is to analyze the performance of a new system that combines organic Rankine Cycle (ORC) and vapor compression refrigeration cycle (VCRC) for refrigeration and cogeneration. The study develops a new system architecture and explores different heat recovery configurations, and finds the optimal system combination through energy analysis and comparison of different working fluids.
JOURNAL OF THERMAL SCIENCE
(2022)
Article
Multidisciplinary Sciences
Ilyas Al-Kindi, Tayfun Babadagli
Summary: Experimental data showed a deviation in propane vapour pressures in capillary media compared to bulk conditions, with rock samples exhibiting vapour pressures 15% lower than those modelled by PR-EOS.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Applied
Ti-Wei Xue, Zeng-Yuan Guo
Summary: In this paper, an ideal dense matter equation of state (EOS) that is symmetric to the ideal gas EOS is proposed. The ideal dense matter EOS makes no assumptions about the structure of matter and is general. By studying specific work and physical constants, it is found that the ideal dense matter EOS has the same theoretical location as the ideal gas EOS.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Engineering, Chemical
Jiayuan Wang, Duoduo Chen, Lingyu Zhu
Summary: A systematic approach for integrated optimization of working fluids and refrigeration processes is developed using the polar PC-SAFT equation-of-state. A parameter database and correlation equation are built for accurate predictions, and efficient numerical aspects for implementation are highlighted. A modified branch-and-bound procedure is proposed as an effective solution strategy, demonstrating solution efficiency for single- and mixed-refrigerant optimizations.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Engineering, Chemical
Jianping Tang, Lixia Kang, Yongzhong Liu
Summary: This paper presents an effective method for the selection and design of optimal working fluids in organic Rankine cycle (ORC). The method utilizes quantitative working fluid selection rules to reduce complexity and improve calculation efficiency. By exploring and summarizing the critical properties of the optimal working fluids for given heat sources, and using the concept of working fluid substitution, the method determines the critical properties of the optimal pure working fluid and the component and composition of the optimal mixture working fluid.
Article
Acoustics
Dui Qin, Shuang Lei, Bo Chen, Zhangyong Li, Wei Wang, Xiaojuan Ji
Summary: This study investigates the effects of equation of state (EOS) on the cavitation dynamics of an air-vapor mixture bubble. The results show that the Peng-Robinson (PR) EOS provides a more accurate estimation of the gases within the bubble compared to the Van der Waals (vdW) EOS. Moreover, the Gilmore-PR model predicts a stronger bubble collapse with higher temperature, pressure, and water molecules within the collapsing bubble compared to the Gilmore-vdW model.
ULTRASONICS SONOCHEMISTRY
(2023)
Article
Thermodynamics
Wameedh Khider Abbas Abbas, Matthias Linnemann, Elmar Baumhoegger, Jadran Vrabec
Summary: Organic Rankine cycles can convert low-temperature heat from sources like solar, geothermal, or biomass into electricity, contributing to meeting energy demand in an environmentally friendly manner. This study experimentally investigates the performance of a two-ORC system with high temperature (HT) and low temperature (LT) cycles, analyzing the thermodynamic characteristics and heat transfer between the cycles to maximize heat source utilization.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Chemical
Chao Wang, Yu Zhuang, Mengting Song, Linlin Liu, Yachao Dong, Lei Zhang, Jian Du
Summary: Reaction and distillation separation processes often generate a large amount of waste heat, and recovering this waste heat can greatly improve the economic performance of these processes. In this study, waste heat recovery using the organic Rankine cycle (ORC) system with different working fluids was investigated in the context of cumene synthesis process. The results showed that utilizing waste heat from both the reaction and distillation sections can lead to positive net economic revenues (NER), and the use of certain working fluids, such as R601, can maximize the NER and thermodynamic efficiency (eta) of the ORC system.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Review
Energy & Fuels
Mohammad Bahrami, Fathollah Pourfayaz, Alibakhsh Kasaeian
Summary: Organic Rankine Cycles (ORCs) play a crucial role in heat recovery and power generation. The selection of working fluid greatly influences the cycle's performance, and the current trend is towards environmentally-friendly working fluids with low GWP to reduce environmental impacts and lifecycle costs.
Article
Thermodynamics
Yubo Chen, Zhao Yang, Yong Zhang, Hongxia He, Jie Li
Summary: Organic Rankine cycle (ORC) is an effective approach for improving energy efficiency, and 2,3,3,3-tetrafluoropropene (R1234yf) is considered as a promising working fluid for ORC. However, the flammability of R1234yf limits its development in ORC, and the addition of 1,1,1,2-tetrafluoroethane (R134a) is an effective method to inhibit its flammability. This paper investigated the combustion and interaction mechanism of R1234yf/R134a.
Article
Thermodynamics
Liyong Xin, Wei Yu, Chao Liu, Lang Liu, Shukun Wang, Xiaoxiao Li, Yu Liu
Summary: Organic Rankine cycle (ORC) is an effective method for utilizing low-grade energy, and R1234yf is a promising working fluid for ORC due to its low global warming potential (GWP). However, the weak thermal stability of R1234yf has limited its application in ORC, highlighting the need to find a way to prevent its pyrolysis. In this study, a systematic investigation of the mechanism of R134a affecting the thermal stability of R1234yf in ORC was carried out. Experimental results showed that the pyrolysis temperature of R513A (R1234yf/R134a) was in the range of 190-210 degrees C. Additionally, simulations and calculations were performed to understand the pyrolysis process of R1234yf, R134a, and R513A, revealing the main reaction pathways involved.
Article
Thermodynamics
Simone Gallarini, Andrea Spinelli, Luca Lietti, Alberto Guardone
Summary: This manuscript presents a study on the thermal stability of hexamethyldisiloxane (MM-C6H18OSi2) and octamethyltrisiloxane (MDM-C8H24O2Si3) in the range of 270-420 degrees C for organic Rankine cycle applications. The results indicate that MM has higher stability than MDM, and the behavior of the equimolar mixture of MM and MDM is different from that of the pure fluids.
Article
Engineering, Multidisciplinary
Yang FuBin, Yang FuFang, Li Jian, Hu ShuoZhuo, Yang Zhen, Duan YuanYuan
Summary: This paper explores the practical thermodynamic performance limits of the organic Rankine cycle (ORC) under working fluid and cycle parameter restrictions. By using multi-objective optimization, the study shows that the performance of the ORC is influenced by cycle parameters and working fluid characteristic properties.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Thermodynamics
Qingfen Ma, Zezhou Gao, Jie Huang, Omid Mahian, Xin Feng, Hui Lu, Shenghui Wang, Chengpeng Wang, Rongnian Tang, Jingru Li
Summary: This study analyzes the performance of an ocean thermal energy conversion (OTEC) plant using an organic Rankine cycle (ORC) with a theoretical outpower of 100 kW. Hydrofluoroolefins (HFOs) are selected as the components of the binary non-azeotropic working fluid due to their desired thermodynamic properties, higher safety and stability, lower cost and environmental friendliness. The results show that using a binary mixture of R1224yd(Z)/R1243zf as the working fluid in the ORC is a promising alternative to pure NH3.
Article
Thermodynamics
R. Romeo, P. A. Giuliano Albo, S. Lago, J. S. Brown
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2017)
Article
Thermodynamics
Piotr A. Domanski, Riccardo Brignoli, J. Steven Brown, Andrei F. Kazakov, Mark O. McLinden
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2017)
Article
Thermodynamics
Riccardo Brignoli, J. Steven Brown, Harrison M. Skye, Piotr A. Domanski
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2017)
Article
Thermodynamics
Laura Fedele, Mariano Pierantozzi, Giovanni Di Nicola, J. Steven Brown, Sergio Bobbo
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2018)
Article
Thermodynamics
J. Steven Brown, Gianluca Coccia, Sebastiano Tomassetti, Mariano Pierantozzi, Giovanni Di Nicola
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2018)
Review
Thermodynamics
Sergio Bobbo, Giovanni Di Nicola, Claudio Zilio, J. Steven Brown, Laura Fedele
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
(2018)
Article
Thermodynamics
Simona Lago, Paolo Alberto Giuliano Albo, James Steven Brown, Marco Bertinetti
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2018)
Article
Thermodynamics
Sebastiano Tomassetti, Mariano Pierantozzi, Giovanni Di Nicola, Fabio Polonara, J. Steven Brown
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2019)
Article
Thermodynamics
Giovanni A. Longo, Simone Mancin, Giulia Righetti, Claudio Zilio, J. Steven Brown
APPLIED THERMAL ENGINEERING
(2020)
Article
Thermodynamics
Sebastiano Tomassetti, Gianluca Coccia, Mariano Pierantozzi, Giovanni Di Nicola, J. Steven Brown
JOURNAL OF CHEMICAL THERMODYNAMICS
(2020)
Article
Thermodynamics
Giovanni A. Longo, Simone Mancin, Giulia Righetti, Claudio Zilio, J. Steven Brown
INTERNATIONAL JOURNAL OF REFRIGERATION
(2020)
Article
Thermodynamics
Giovanni A. Longo, Giulia Righetti, Claudio Zilio, Ludovico Ortombina, Mauro Zigliotto, J. Steven Brown
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2020)
Article
Thermodynamics
Sebastiano Tomassetti, Giovanni Di Nicola, Mariano Pierantozzi, J. Steven Brown
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2020)
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.