Article
Energy & Fuels
Chunyan Lu, Jiangjiang Wang, Rujing Yan
Summary: This paper discusses the integration of an energy storage device into a CCHP system to address thermoelectric coupling limitations under dynamic uncertainty. It proposes a multiobjective optimization model for determining the optimal energy storage capacity and uses a probability-constrained method to handle load uncertainty. The economic and environmental performance of the CCHP system is evaluated through total annual cost and carbon dioxide emission assessment.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Jiangjiang Wang, Yuan Zhou, Xutao Zhang, Zherui Ma, Yuefen Gao, Boxiang Liu, Yanbo Qin
Summary: This study proposes a life cycle assessment-based optimization model for hybrid solar-assisted CCHP system, aiming to reduce environmental impacts through multi-objective optimization with robustness considerations. Partially covered collectors can lower environmental impact by optimizing system configurations and energy compositions, making them more cost-effective and feasible.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Yu Yuan, Zhang Bai, Shengdong Zhou, Bo Zheng, Wenxin Hu
Summary: The integration of thermochemical recuperation (TCR) method into the CCHP system effectively improves the system operation flexibility and demand response characteristics through exhaust gas heat recovery and adjustable operation regulation.
Article
Energy & Fuels
Muhammad Shahzad Nazir, Fahad M. Almasoudi, Ahmad N. Abdalla, Chang Zhu, Khaled Saleem S. Alatawi
Summary: In order to achieve the net-zero carbon target, the low carbon transition requires increased penetration of renewable generation in energy systems. Adequate flexible resources are essential to prevent curtailment of energy systems with high intermittent renewable output. This study focuses on the optimal dispatching model of a combined cooling, heating, and power microgrid with power-to-gas technology. The model demonstrates that power-to-gas improves the wind abandonment capacity of the microgrid and reduces environmental costs, resulting in economic benefits.
Article
Thermodynamics
Zepeng Han, Jiangjiang Wang, Zhiheng Cui, Chunyan Lu, Xiaoling Qi
Summary: The study introduces a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system to improve comprehensive performance through optimization of energy efficiency, economics, and environmental impact. Results show that the comprehensive performance is optimal when the solar water heating area ratio is 0.5.
Article
Thermodynamics
Ahmad Zarei, Saeed Akhavan, Maryam Ghodrat, Masud Behnia
Summary: This study analyzes a novel solar polygeneration system that combines photovoltaic thermal (PVT) and flat plate collector (FPC) to achieve high electrical and thermal efficiencies. The use of a booster compressor significantly enhances system performance and reduces carbon dioxide emissions.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Yuan Zhou, Jiangjiang Wang, Fuxiang Dong, Yanbo Qin, Zherui Ma, Yanpeng Ma, Jianqiang Li
Summary: This paper proposes a novel operational strategy for CCHP systems by analyzing system flexibility and evaluating design and operational performance using a flexibility index. A multi-objective optimization model is constructed to improve the economic performance and flexibility of the system.
Article
Engineering, Electrical & Electronic
Hongkun Li, Weidong Zheng, Tongyu Dai, Qiao Zhu, Weiqun Liu
Summary: This study investigates the application range and essential difference of the hybrid electric-thermal load operation strategy in CCHP systems. The results show that the electric load operation strategy is better than the thermal load operation strategy in terms of energy saving, economy, and environment when a large amount of heat is required. However, when electricity demand is high, the thermal load operation strategy can minimize energy loss. To achieve the best performance, the gas-to-electricity price ratio and the gas-to-electricity environmental impact ratio must exceed the efficiency of the power generation unit.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Rujing Yan, Zherui Lu, Jiangjiang Wang, Haiyue Chen, Jiahao Wang, Yuanjuan Yang, Dexiu Huang
Summary: This research introduces a multi-objective stochastic multi-scenario optimization method to determine the optimal capacity of wind, solar, and geothermal energy in a CCHP system, considering energy supply independence, environmental impact, economic, and energy efficiency. The optimization problem is solved using non-dominated sorting genetic algorithm II, demonstrating that stochastic multi-scenario optimization can save computation time compared to traditional optimization methods.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Muhammad Tauseef Nasir, Michael Chukwuemeka Ekwonu, Javad Abolfazli Esfahani, Kyung Chun Kim
Summary: In this study, a biomass powered system combining cooling, heating, and power generation is developed using organic Rankine cycles and vapor compression cycles to meet the needs of small-scale developing and underdeveloped communities. The system can provide cooling and heating with various parameter combinations and has been optimized for increased efficiency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Chemistry, Multidisciplinary
Wei-Chang Yeh, Wenbo Zhu, Yi-Fan Peng, Chia-Ling Huang
Summary: Energy demand is increasing rapidly, leading to energy depletion and greenhouse effect issues. To address these problems, researchers have conducted optimization studies on the Combined Cooling, Heating, and Power system (CCHP). The original multi-objective optimization problem was converted into a single-objective optimization problem using the Technique for Order Preference by Similarity to and Ideal Solution (TOPSIS). A hybrid algorithm called SSO-DE, which combines simplified swarm optimization (SSO) with differential evolution (DE), was proposed to solve the optimization problem efficiently.
APPLIED SCIENCES-BASEL
(2022)
Article
Thermodynamics
Ke Chen, Ming Pan
Summary: This paper introduces a novel superstructure CCHP system and uses deterministic modeling and optimization methods for CCHP operations, which outperforms traditional stochastic algorithms like Genetic Algorithm in adhering to demand constraints. Case studies demonstrate that the superstructure CCHP system achieves greater energy savings in large energy demand scenarios compared to single-structure CCHP systems.
Article
Green & Sustainable Science & Technology
Xiangming Zhao, Jianxiang Guo, Maogang He
Summary: This study proposes an improved optimization method that improves decision variables by reorganizing, re-optimizing, and re-selecting the initial optimized population. The method comprehensively analyzes optimization solutions in terms of energy, economy, and environment and obtains simplified systems to promote project implementation.
Article
Green & Sustainable Science & Technology
Amir Ebrahimi-Moghadam, Ali Jabari Moghadam, Mahmood Farzaneh-Gord, Ahmad Arabkoohsar
Summary: A novel hybrid system has been developed for the simultaneous production of cooling, heating, and electricity, with a parametric study showing that compressor pressure ratio and heat exchanger pinch-point temperature difference have the highest and lowest impacts on the performance criteria, respectively.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Guo-Hua Shi, Lu Aye, Rui Dai, Xian-Jun Du, Jiang-Jiang Wang
APPLIED THERMAL ENGINEERING
(2019)
Article
Thermodynamics
Jiangjiang Wang, Zherui Lu, Meng Li, Noam Lior, Weihua Li
Article
Thermodynamics
Jiangjiang Wang, Yuzhu Chen, Noam Lior, Weihua Li
Article
Thermodynamics
Fukang Ren, Jiangjiang Wang, Sitong Zhu, Yi Chen
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Thermodynamics
Yuzhu Chen, Jiangjiang Wang, Chaofan Ma, Guohua Shi
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Thermodynamics
Rujing Yan, Jiangjiang Wang, Sitong Zhu, Yi Liu, Youliang Cheng, Zherui Ma
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Thermodynamics
Zherui Ma, Hongwei Chen, Jiangjiang Wang, Xin Yang, Rujing Yan, Jiandong Jia, Wenliang Xu
ENERGY CONVERSION AND MANAGEMENT
(2020)
Review
Thermodynamics
Shuwei Li, Hongqiang Wang, Juan Fang, Qibin Liu, Jiangjiang Wang, Shaopeng Guo
JOURNAL OF THERMAL SCIENCE
(2020)
Article
Energy & Fuels
Rujing Yan, Jiangjiang Wang, Youliang Cheng, Chaofan Ma, Tong Yu
Article
Chemistry, Physical
Chaofan Ma, Yuan Zhou, Jiangjiang Wang, Xiaojing Li
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Physics, Multidisciplinary
Zhiheng Cui, Jiangjiang Wang, Noam Lior
Summary: A novel cooling, heating, and power system integrated with a solid oxide fuel cell and biomass gasification was proposed and analyzed, showing good energy and exergy efficiencies. However, adjustments to key parameters can have significant impacts on the system's performance.
Review
Green & Sustainable Science & Technology
Jiangjiang Wang, Zepeng Han, Zhimin Guan
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Proceedings Paper
Energy & Fuels
Jing Wu, Jiangjiang Wang
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
(2019)
Proceedings Paper
Energy & Fuels
Meng Li, Jiangjiang Wang
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
(2019)
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.