Article
Engineering, Electrical & Electronic
Hui Xiao, Feiyu Long, Linjun Zeng, Wenqin Zhao, Jun Wang, Yihang Li
Summary: This paper proposes an optimization model for the regional integrated energy system (RIES) that considers multiple uncertainties, multi-energy coupling, and integrated demand response (IDR). The model includes renewable energy, upper grid, coupling devices, energy storage equipment, electric vehicles (EVs), and electrical, heating, and cooling loads. By comparing and analyzing the mathematical characteristics of the uncertainty of sources and loads, the robust optimization (RO) is used to model the uncertainty of sources, and the stochastic optimization (SO) is used to describe the uncertainty of loads. The proposed model is validated with an actual RIES, and the results demonstrate that the RIES model considering multiple uncertainties and multi-energy coupling can effectively ensure the cooperative operation of the RIES and improve its reliability and economy.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Zihao Guo, Ren Zhang, Li Wang, Shunqi Zeng, Yajun Li
Summary: This paper proposes a regional integrated energy system model considering demand response and uses an improved genetic optimization algorithm to solve the model, obtaining optimization results of load demand response and energy networks. Finally, a case study in an industrial park in Guangzhou shows that user-side demand response can reduce the total cost of the regional integrated energy system and play a role in peak shaving and filling valleys in the energy system.
APPLIED THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Jiandong Duan, Fan Liu, Yao Yang
Summary: An optimal operation model for integrated electricity and natural gas systems considering demand response uncertainty is proposed in this study. The uncertainty of wind power is dealt with using chance-constrained, and the models of three demand response loads are established. A distributed optimization model is used, and the effectiveness and convergence of the method are verified through a case study.
Article
Energy & Fuels
Peng Li, Zixuan Wang, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: The study proposes a multi-time-space optimal operation strategy for distributed integrated energy systems, which includes a collaborative optimization framework and operation models on different time scales. The strategy aims to achieve coordination of multiple operation measures in a community-based integrated energy system, promoting energy supply and demand balance.
Article
Engineering, Electrical & Electronic
Peng Li, Zixuan Wang, Nan Wang, Weihong Yang, Mingzhe Li, Xichao Zhou, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Ali Mobasseri, Marcos Tostado-Veliz, Ali Asghar Ghadimi, Mohammad Reza Miveh, Francisco Jurado
Summary: In recent years, multi-energy microgrids have become an important framework for utilizing clean and efficient electro-thermal resources and integrating multi-energy storage facilities. This paper proposes a hybrid robust energy management tool for such microgrids, effectively addressing uncertainties brought by unpredictable demand and renewable generation. The proposed methodology demonstrates high accuracy and computational efficiency.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Lei Wang, Chongqi Hou, Bin Ye, Xuli Wang, Chenxu Yin, Hao Cong
Summary: This study proposes a demand response uncertainty model based on price incentives and constructs an energy coupling matrix for integrated community energy systems. By optimizing the operating model, it effectively reduces system operating costs, improves the load profile, and achieves a win-win situation for both energy companies and users.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Thermodynamics
Ke Li, Ning Ye, Shuzhen Li, Haiyang Wang, Chenghui Zhang
Summary: As the conflict between energy and the environment intensifies, integrated energy system (IES) is an effective solution to address the difficulties of multi-energy coupling and multi-agent. This study proposes a multi-agent game operation strategy with integrated demand response (IDR) to optimize energy supply and utilization. The proposed distributed bi-level optimization model is solved using a distributed algorithm through genetic algorithm nested quadratic programming. Case studies in three scenarios demonstrate the effectiveness of the proposed method in improving supply-side revenue, reducing demand-side costs, and enhancing the operation and stability of energy supply and utilization.
Article
Energy & Fuels
Shunlin Zheng, Yi Sun, Bin Li, Bing Qi, Xudong Zhang, Fei Li
Summary: Incentive-based integrated demand response is recognized as an effective tool to address supply-demand imbalances in energy systems with high levels of renewable energy. However, challenges such as uncertainties in renewable energy output and consumer responsiveness, as well as double coupling effects, have made designing incentive strategies difficult. The proposed model aims to optimize these uncertainties and coupling effects to achieve a win-win situation for multi-energy aggregators and consumers.
Article
Green & Sustainable Science & Technology
Yu Huang, Peng Ding, Yutao Wang, Shuqin Li, Kai Yang, Yongling Li
Summary: The study established an optimal operation model to address the issue of low participation in demand response programs, achieving the goal of increased revenue on the supply side and decreased costs on the demand side.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Meng Yang, Yisheng Liu
Summary: This study proposes a collaborative optimization model for integrated energy systems (IES) and conducts empirical research using ladder carbon trading (LCT) mechanism and multi-energy demand response (MDR). The results show that the introduction of these two market mechanisms can significantly reduce carbon emissions, optimize energy use curves, and save operating costs, enhancing the green and economic performance of the IES.
Article
Energy & Fuels
Keyong Hu, Ben Wang, Yang Feng, Shihua Cao, Lidong Wang, Wenjuan Li
Summary: This study focuses on the safe and economic operation of integrated energy system (IES) in the presence of multiple uncertainties. A optimization model considering uncertainties in renewable energy output, energy purchase prices and integrated demand responses is proposed, using combined cooling heating and power as an example. Mathematical models and constraints are provided, and different methods are used to model uncertainty sources. A day-ahead optimal scheduling model for IES with multiple uncertainties is established using the stochastic scenario method and robust optimization method, and the whale optimization algorithm is improved to obtain the optimal solution.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Jing Wang, Haijun Xing, Huaxin Wang, Baojiang Xie, Yangfan Luo
Summary: In this study, an optimal operation model and strategy considering integrated demand response (IDR) and exergy efficiency in the regional integrated energy system (RIES) is proposed. The economic cost and exergy efficiency of RIES are analyzed, and a model considering IDR is established. The multi-objective optimization model of RIES is established to minimize economic cost and maximize exergy efficiency. The results show that comprehensive demand response can effectively reduce system cost and improve exergy efficiency on the demand side.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Thermodynamics
Peng Li, Zixuan Wang, Haitao Liu, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: This paper proposes a bi-level optimal configuration strategy for a community integrated energy system (CIES) based on energy supply-demand responses and robustness adjustable scenarios. Through case studies and simulation results, the effectiveness and advantage of the proposed strategy are demonstrated in designing an efficient and flexible CIES.
Article
Energy & Fuels
Wenkai Dong, Zhigang Lu, Liangce He, Jiangfeng Zhang, Tao Ma, Xiaobo Cao
Summary: The challenges of energy shortage and environmental protection have led people to take various measures, and one of these measures is the use of integrated energy systems. This paper proposes an optimal expansion planning model for an integrated energy system consisting of power grid, gas network, and multiple energy hubs, with the objective of minimizing operational fuel cost and capital investment cost. Through six case studies, it is shown that the proposed planning model can achieve 13.47% annual cost savings compared to the baseline scenario.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Article
Thermodynamics
Peng Li, Zixuan Wang, Weihong Yang, Haitao Liu, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper proposes a hierarchically partitioned coordinated operation method for distributed integrated energy systems (DIES) based on a master-slave game, and successfully verifies that this method can effectively promote the balance of energy supply and demand, as well as reconcile the benefits of leaders and followers.
Article
Engineering, Electrical & Electronic
Peng Li, Tianyu Guo, Xiaoqing Han, Haitao Liu, Jiaxuan Yang, Jiahao Wang, Yexin Yang, Zixuan Wang
Summary: This paper proposes a coordinated control method for ac/dc hybrid microgrid considering the H.. performance index, which divides the coordinated control into three flexible switching modes to achieve power support and meet different power quality requirements. Based on an optimal decentralized coordinated control theory considering the H.. performance index, a coordinated controller is designed to achieve precise control of frequency in the ac area and voltage in the dc area, with the control effect and conclusions verified.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Peng Li, Tianyu Guo, Yuwei Li, Xiaoqing Han, Peng Wang, Xinming Li, Zixuan Wang
Summary: The paper proposes an adaptive coordinated optimal control method for parallel bidirectional power converters (BPCs) to achieve economically optimal power distribution and high dynamic voltage quality. The control system includes primary and secondary voltage-regulated controllers to distribute power and restore voltage levels efficiently, ensuring stability and optimal performance.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Peng Li, Zixuan Wang, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: The study proposes a multi-time-space optimal operation strategy for distributed integrated energy systems, which includes a collaborative optimization framework and operation models on different time scales. The strategy aims to achieve coordination of multiple operation measures in a community-based integrated energy system, promoting energy supply and demand balance.
Article
Thermodynamics
Peng Li, Tianyu Guo, Muditha Abeysekera, Jianzhong Wu, Zhonghe Han, Zixuan Wang, Yunxing Yin, Fengquan Zhou
Summary: The proposed method improves energy management efficiency by dispatching energy subsystems with different intervals according to their characteristics. By balancing exergy efficiency and operation cost, it enhances energy utilization efficiency and provides a multi-dimensional dispatch scheme for dispatchers.
Article
Engineering, Electrical & Electronic
Peng Li, Zixuan Wang, Nan Wang, Weihong Yang, Mingzhe Li, Xichao Zhou, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Peng Li, Zixuan Wang, Haitao Liu, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: This paper proposes a bi-level optimal configuration strategy for a community integrated energy system (CIES) based on energy supply-demand responses and robustness adjustable scenarios. Through case studies and simulation results, the effectiveness and advantage of the proposed strategy are demonstrated in designing an efficient and flexible CIES.
Article
Thermodynamics
Tianyu Guo, Peng Li, Zixuan Wang, Ruyu Shi, Zhonghe Han, Hui Xia, Jianyi Li
Summary: This paper proposes an integrated modeling and operation method for a multienergy system, establishing a coupling matrix equation and modeling the system based on Stackelberg game theory to achieve a reasonable balance between the whole system and its energy subsystems. The optimized day-ahead operation scheme improves system efficiency and highlights the potential for multienergy system development.
Proceedings Paper
Energy & Fuels
Gang Wang, Fengquan Zhou, Peng Li, Zixuan Wang
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)
(2019)
Proceedings Paper
Energy & Fuels
Difan Wu, Zixuan Wang, Lei Hou, Taowei Wang, Kun Su, Peng Li
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)
(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.
