Article
Thermodynamics
Borna Doracic, Matija Pavicevic, Tomislav Puksec, Sylvain Quoilin, Neven Duic
Summary: District heating has been proven as a suitable solution for decarbonisation of the energy sector in Europe, but it requires the incorporation of renewable and sustainable energy sources, including excess heat from industrial and service sectors. A wholesale day ahead heat market was simulated and validated in a case study in Croatia. Results show that introducing such a market can increase total welfare, especially when combined with thermal storage and low-cost renewables.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Chemistry, Physical
Ella M. Morton, Thomas A. Deetjen, Shadi Goodarzi
Summary: This study examines the economic benefit of adding hydrogen production capacity to a wind farm in north Texas and investigates different day ahead market bidding strategies. The results show that adding hydrogen capacity is profitable when the hydrogen price is above $3.58/kg and that the optimal bidding strategy changes with the hydrogen price.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Ghaljehei, Mojdeh Khorsand
Summary: This paper studies the issues of uncertainty and variability in modern power systems caused by the increase of renewable resources. It proposes a more adaptive day-ahead market model by enhancing the design of flexible ramping products (FRPs) and designing corresponding market payment policies. The proposed method minimizes disruption to existing market models when implemented in present-day system operations.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Lina Silva-Rodriguez, Anibal Sanjab, Elena Fumagalli, Madeleine Gibescu
Summary: This paper proposes a practical light robust optimization (LR) approach for the day-ahead (DA) co-optimization of energy and reserves. The method enables control of the robustness level through a tunable conservativeness parameter and explores three different formulations for specifying the system reserve requirements. Numerical results demonstrate the effects of the conservativeness parameter and reserve requirements on various indicators.
Article
Engineering, Electrical & Electronic
Yue Yin, Tianqi Liu, Lei Wu, Chuan He, Yikui Liu
Summary: The paper proposes a risk-constrained stochastic scheduling model to improve the economic operation and system security of multi-energy systems, using a linearized AC power flow model and an enhanced progressive hedging approach.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Energy & Fuels
Yubin Wang, Yanchong Zheng, Qiang Yang
Summary: This paper proposes a day-ahead optimal bidding strategy for the regional integrated energy system (IES) in electricity markets. It combines multiple time scales of electricity settlement and energy dispatch to minimize the expected operational cost. The strategy incorporates a gradient boosted regression tree (GBRT) based quantile forecasting method to address uncertainties introduced by renewable distributed energy resources (RDER). Simulation experiments in the PJM and Guangdong electricity markets confirm the effectiveness of the proposed solution.
Article
Energy & Fuels
Ali Ghasemi-Marzbali, Mohammad Shafiei, Roya Ahmadiahangar
Summary: This paper proposes a novel multi-vector energy system based on electricity, heating, and water generation sources for the holistic planning of a microgrid. Various energy resources such as water-power nexus, energy storage systems, photovoltaic sources, and combined heat and power systems are utilized to supply electrical energy and meet water and heating demands. The model takes into account various constraints and aims to minimize the costs of the multi-vector energy system. Simulation results demonstrate that the use of renewable energy sources and proper management can significantly reduce costs, especially when combined with a demand response program.
Article
Energy & Fuels
Jiaxin Cao, Bo Yang, Shanying Zhu, Chao Ning, Xinping Guan
Summary: This study proposes an energy management scheme based on distributionally robust optimization approach, which can be applied to energy hubs without accurate probability distributions and complete information, providing them with a robust optimal solution for the day-ahead market.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Hamed Aziz, Mohammad Tabrizian, Meghdad Ansarian, Amir Ahmarinejad
Summary: This paper proposes a three-stage framework for microgrid participation in the electricity market, considering economic, technical, and environmental indicators. The study demonstrates that the presence of energy storage systems and demand response programs, as well as a reconfigurable topology, can reduce the marginal prices of microgrids and the market clearing price.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Andres L. Suarez-Cetrulo, Lauren Burnham-King, David Haughton, Ricardo Simon Carbajo
Summary: Wind power forecasting faces challenges such as sudden weather events, turbine failures, and grid constraints, with the current need to predict at minute-level increments a day in advance to avoid bulk energy trading. The study shows that using machine learning algorithms for wind power prediction can achieve good results in terms of accuracy and cost-effectiveness.
Article
Energy & Fuels
Gang Wu, Ting Li, Min Li, Peng Lan, Ruiguang Ma, Tiannan Ma, Deng Jingwei
Summary: This paper proposes a cooperative optimization scheduling model to enhance the operation flexibility and economy of transmission-distribution integrated electricity-gas systems (TD-IEGS). By considering the coordinated operation of multi-energy coupling devices and utilizing the second order cone relaxation method, the model can reduce total operation cost and promote wind power utilization.
Article
Engineering, Electrical & Electronic
Lina Silva-Rodriguez, Anibal Sanjab, Elena Fumagalli, Ana Virag, Madeleine Gibescu
Summary: This paper proposes a light robust mechanism for day-ahead market clearing to find a balance between robustness and economic efficiency, encouraging participation of stochastic producers.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Mengke Lu, Jun Guan, Huahua Wu, Huizhe Chen, Wei Gu, Ye Wu, ChengXiang Ling, Linqiang Zhang
Summary: In this paper, a day-ahead optimal dispatching model for a power system is established by combining wind, photovoltaic, hydropower, thermal, and pumped storage. Various mathematical models and opportunity constraint programming are used to address the output uncertainty of renewable energy sources, improve economic efficiency, reduce start-stop times, and enhance system stability. The model aims to optimize the joint dispatch of different energy sources while considering system economics.
Article
Engineering, Electrical & Electronic
Salah Bahramara, Pouria Sheikhahmadi, Andrea Mazza, Gianfranco Chicco
Summary: This paper proposes a new decision-making framework for the day-ahead self-scheduling problem of microgrids. The framework allows the microgrid operator to provide services for the independent system operator and the distribution system operator. The uncertainties in the model are addressed using stochastic modeling and information gap decision theory.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Ties Van der Heijden, Jesus Lago, Peter Palensky, Edo Abraham
Summary: This study explores the importance of European features in Day Ahead Market (DAM) price forecasting models, proposing a greedy algorithm for selecting European features and applying it to building and comparing price forecasting models for the Dutch market. The results show that integrating European features significantly improves the accuracy of the forecasts.
Article
Energy & Fuels
Guangchun Ruan, Haiwang Zhong, Jianxiao Wang, Qing Xia, Chongqing Kang
Article
Engineering, Electrical & Electronic
Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Green & Sustainable Science & Technology
Hongye Guo, Qixin Chen, Xichen Fang, Kai Liu, Qing Xia, Chongqing Kang
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2020)
Article
Economics
Hongye Guo, Michael R. Davidson, Qixin Chen, Da Zhang, Nan Jiang, Qing Xia, Chongqing Kang, Xiliang Zhang
Article
Engineering, Electrical & Electronic
Ziming Ma, Haiwang Zhong, Qing Xia, Chongqing Kang, Qiang Wang, Xin Cao
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Green & Sustainable Science & Technology
Jianxiao Wang, Haiwang Zhong, Zhifang Yang, Xiaowen Lai, Qing Xia, Chongqing Kang
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2020)
Article
Engineering, Electrical & Electronic
Zhenfei Tan, Haiwang Zhong, Qing Xia, Chongqing Kang
Summary: This paper proposes a multi-area coordination framework based on condensed system representation (CSR), which can optimize multi-area systems by fixing non-marginal units and eliminating redundant security constraints without the need for iterative information exchange.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang
Summary: This paper introduces a data-driven framework for identifying bidding objective functions, consisting of three steps: modeling bidding decision processes as a Markov decision process, using a deep inverse reinforcement learning method to identify reward functions, and customizing a deep Q-network method to simulate bidding behaviors. These methods have been tested on real market data from the Australian electricity market.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Hongye Guo, Qixin Chen, Kedi Zheng, Qing Xia, Chongqing Kang
Summary: A novel data-driven ASC forecasting framework based on LSTM model and data processing techniques is proposed in this paper to predict optimal bidding in power markets. The framework integrates data, simplifies high dimensionality, and forecasts ASC with good performance. Real data from the U.S. market are used to demonstrate the effectiveness of the proposed framework.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Zhenfei Tan, Siyu Wang, Haiwang Zhong, Qing Xia, Chongqing Kang
Summary: This paper proposes the use of dynamic line rating (DLR) to expand the flexibility region of a virtual power plant (VPP), in order to better integrate distributed resources. By adjusting the current carrying capacity of the distribution network, transmission limits that hinder the integration of distributed flexibility can be eliminated.
IET RENEWABLE POWER GENERATION
(2022)
Article
Engineering, Electrical & Electronic
Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang
Summary: This paper explores demand flexibility in modern power systems through time-varying elasticity, proposing a model-free methodology and a two-stage estimation process using Siamese LSTM networks to accurately estimate price responses and time-varying elasticities. Validated in a case study, the proposed framework achieves higher overall estimation accuracy and better description of abnormal features compared to state-of-the-art methods.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Thermodynamics
Hongye Guo, Qixin Chen, Mohammad Shahidehpour, Qing Xia, Chongqing Kang
Summary: This paper proposes a novel bidding behavior model for generation companies (GENCOs) with bounded rationality and renewable energy. The model incorporates prospect theory and fairness constraints, and analyzes the interaction between GENCOs and the day-ahead power market using a Stackelberg game model. The effectiveness of the proposed model is demonstrated through an illustrative example using a modified IEEE-30 bus system with high renewable energy penetration.
Article
Energy & Fuels
Pengya Wang, Jianxiao Wang, Ruiyang Jin, Gengyin Li, Ming Zhou, Qing Xia
Summary: In recent years, there has been an increasing use of biomass technologies due to its recognition as a natural carbon-neutral fuel. While previous studies have focused on zero-carbon energy systems or buildings, there has been limited exploration of the multi-energy coupling method and techno-economic evaluation of biomass for achieving near-zero carbon systems. The proposed optimal sizing framework integrates waste-to-biogas into regional energy systems to minimize carbon emissions. The case studies demonstrate the significant improvement in supply adequacy, reduction in investment costs, and carbon emission reduction intensity through the integration of biogas.
Article
Engineering, Electrical & Electronic
Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang
Summary: Intervention policies against COVID-19 have disrupted the power system operation globally, leading to pattern changes. To understand the risks and impacts, an open-access data hub, an open-source toolbox, and evaluation methods were developed for analyzing the U.S. power systems during COVID-19. These resources are valuable for research, public policy, and education. The data hub harmonizes various data, while the toolbox includes reformulated methods and proposes new indices. Empirical studies provide insights and solutions, expanding the understanding of COVID-19's effects.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Proceedings Paper
Engineering, Industrial
Qi An, Jianxiao Wang, Qing Xia, Gengyin Li, Ming Zhou, Zhenyu Chen, Xiaoquan Lu
Summary: This paper investigates the role of integrated demand elasticity in mitigating market power and proposes a bi-level optimization framework for integrated demand response. The research findings show that IDR can significantly improve demand elasticity and effectively mitigate the strategic incentive in the power generation market.
2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021)
(2021)
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.
