Article
Engineering, Environmental
Laibao Liu, Yang Wang, Zheng Wang, Shuangcheng Li, Jiangtao Li, Gang He, Yan Li, Yanxu Liu, Shilong Piao, Ziqi Gao, Rui Chang, Wenjun Tang, Kejun Jiang, Shijin Wang, Jun Wang, Lin Zhao, Qingchen Chao
Summary: China's goal of being carbon-neutral by 2060 can be achieved by deploying wind and solar capacity of approximately 2495 GW and 2674 GW respectively within flexible and optimized grids. This would meet about 67% of electricity demands for all sectors by 2050, reduce significant amounts of SO2 and NOx emissions, and secure a green energy supply for the country.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Dlzar Al Kez, Aoife M. Foley, Faraedoon W. Ahmed, Mark O'Malley, S. M. Muyeen
Summary: This study proposes a framework for cooperative participation of data centers to provide fast frequency response services. By using a model predictive controller to generate reference signals for data center resources, the lost services can be compensated. Through dynamic simulations, it is demonstrated that different data center configurations have the potential to stabilize grid frequency during signal delays and failures.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Ibrahim Soyler, Ercan Izgi
Summary: Electricity demand forecasting is crucial for utilities and efficient operation. Hospitals, with their unique characteristics and high-energy consumption, pose challenges in predicting maximum power demand. This study measures the annual electrical energy use of 23 public hospitals in Istanbul and develops two new forecasting models using regression techniques. The results demonstrate the potential of confidently estimating maximum power needs and informing the selection of transformer and generator sizes.
Article
Energy & Fuels
Haixin Wang, Jiahui Yuan, Guanqiu Qi, Yanzhen Li, Junyou Yang, Henan Dong, Yiming Ma
Summary: This paper proposes a data-driven load forecasting method for incentive demand response (IDR), which considers consumer behavior. The method improves power grid flexibility and reduces peak shaving pressure.
Article
Engineering, Electrical & Electronic
Fangyuan Xu, Zhengxin Fu, Yiqiang Duan, Sibin Xu, Yifei Wang, Zuyi Li
Summary: This paper introduces a coordinating market and operation framework for gas demand response to support power system supply-demand balancing. Gas turbines are used to transfer gas DR into power generation, while gas aggregators collect flexible gas resources and make offers to the power grid. The proposed framework establishes a cross-grid demand response model for gas flexible loads to optimize generation capacity distribution and demonstrate feasibility through numerical studies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Thermodynamics
Shilin Sun, Yuekai Liu, Qi Li, Tianyang Wang, Fulei Chu
Summary: This paper proposes a novel method to enhance the reliability of wind condition knowledge by considering the spatial information of surrounding wind turbines and achieve wind power modeling using transformer neural networks based on the multi-head attention mechanism. Experimental results show that the proposed method outperforms other approaches, especially in large steps forecasting, with significantly better average values of mean absolute error.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Economics
Peter Enevoldsen, Finn-Hendrik Permien, Ines Bakhtaoui, Anna-Katharina Von Krauland, Mark Z. Jacobson, George Xydis, Benjamin K. Sovacool, Scott V. Valentine, Daniel Luecht, Gregory Oxley
Summary: This paper discusses and rebuts the critique of the European wind power potential analysis by McKenna et al., concluding that the claims made by M20 are incorrect or unproven and therefore the results of E19 remain valid.
Article
Hospitality, Leisure, Sport & Tourism
Min Zhu, Jinran Wu, You-Gan Wang
Summary: This paper fills two gaps in accommodation demand forecasting: the limited number of studies on using modern machine learning techniques, and the lack of understanding of comparative forecasting performance at multiple forecast horizons. Machine learning performance is stable and robust as the forecast horizon increases, with long short-term memory showing particular advantages in long-horizon forecasting and dealing with complex data structures in New Zealand.
INTERNATIONAL JOURNAL OF TOURISM RESEARCH
(2021)
Article
Thermodynamics
Haichao Wang, Jianbo Han, Ruoyu Zhang, Mingyi Sun, Zongyu Sun, Pengmin Hua, Zichan Xie, Hai Wang, Elnaz Abdollahi, Risto Lahdelma, Katja Granlund, Esa Teppo
Summary: Wind power curtailment is a global issue, and a systematic and accurate evaluation of the wind accommodation mechanisms and energy saving potentials of thermal energy storage and electric heat pump is needed. In this study, it is found that electric heat pump has better wind accommodation capability and adding thermal energy storage can further improve wind accommodation, although the effect diminishes with storage size increase, based on a case study of the energy supply system in Jilin Province, China.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Mao Yang, Da Wang, Chuanyu Xu, Bozhi Dai, Miaomiao Ma, Xin Su
Summary: Wind speed is the main meteorological factor affecting wind turbine power generation. Existing wind speed fluctuation division algorithms only consider the wind speed changing process, but there is strong uncertainty in the wind speed-power conversion, which follows a multi-power transfer relationship under wind speed fluctuation. Therefore, a wind speed power transfer fluctuation partitioning (PTFP) algorithm is proposed to refine wind power forecasting by considering both the wind speed variation and power transfer characteristics.
Article
Computer Science, Artificial Intelligence
Jianzhou Wang, Lifang Zhang, Chen Wang, Zhenkun Liu
Summary: Wind power forecasting is crucial for power market transactions and system operation. The proposed system in the paper has shown accurate and reliable results in experiments, providing useful references for wind producers and managers.
APPLIED SOFT COMPUTING
(2021)
Article
Thermodynamics
Samuel Andres Gil Ruiz, Julio Eduardo Canon Barriga, J. Alejandro Martinez
Summary: This study demonstrates the importance of high-resolution wind power assessments for wind energy projects in regions like the Colombian Caribbean. By using the WRF model, the researchers were able to accurately simulate and validate ground observations of wind speeds, providing valuable data for wind energy development in the region. The results highlight the potential for high wind power density in the area and showcase the capabilities of the WRF model in capturing atmospheric dynamics.
Article
Green & Sustainable Science & Technology
Victor E. L. A. Duca, Thais C. O. Fonseca, Fernando L. Cyrino Oliveira
Summary: The study models wind speed using dynamic Weibull and Gamma state space models and derives filtering, smoothing, and prediction equations. Efficient simulation is achieved through the beta prime distribution for fast online wind speed forecasting. Results suggest that the dynamic Gamma model competes well with the Weibull model in wind speed prediction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Thermodynamics
Jiarui Liu, Yuchen Fu
Summary: Reliable and accurate renewable energy forecasting is crucial for daily planning and stabilizing the power system. This study proposes a novel Transformer-based model called Graph Patch Informer (GPI), which outperforms existing models on multiple datasets and demonstrates state-of-the-art performance in renewable energy forecasting tasks. GPI provides an effective solution for renewable energy forecasting and achieves advanced performance.
Article
Thermodynamics
J. J. Chen, B. X. Qi, Z. K. Rong, K. Peng, Y. L. Zhao, X. H. Zhang
Summary: This paper investigates the coordinated scheduling and optimal operation strategy of coupled heat-power-gas microgrid, aiming at improving flexibility while considering cogeneration technology and power to gas technology. The study finds that by integrating a demand response model, the operational flexibility of CHPG can be enhanced in meeting various energy demands.