Kang Hu
Tsinghua University
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Publication
Featured researches published by Kang Hu.
IEEE Transactions on Sustainable Energy | 2017
Yuanhang Dai; Lei Chen; Yong Min; Qun Chen; Kang Hu; Junhong Hao; Yiwei Zhang; Fei Xu
Due to the coupling of its heat and power output, combined heat and power (CHP) has limited flexibility, which is one of the main reasons for variable renewable energy source (RES) curtailment problem in Northern China. Almost all the existing studies have modelled the CHPs output characteristics as a feasible operation region of electric power and heat power. However, only the extraction steam of a CHP unit that used for district heating can be controlled directly, without considering the extraction steams heat transfer process, the actual heat power output cannot be precisely decided. Thus this paper proposes a detailed CHP dispatch model based on the principles of heat transfer. A three-stage heat transfer model of the extraction steam is used to describe the heating process. Then, a joint dispatch model concerning CHP units, conventional thermal power units, and RESs is given. Finally, the impacts of different factors on the extraction steams heat transfer process and its influence for RES accommodation are analyzed. Results show that considering heat transfer process is essential in modelling the CHP plant that used for district heating, especially when the CHP plant is working at a status that deviates from the rated one significantly.
power and energy society general meeting | 2016
Yuanhang Dai; Lei Chen; Yong Min; Qun Chen; Junhong Hao; Kang Hu
Electrical heating with thermal storage using surplus wind power is now promoted in northern China for wind power accommodation and clean heating. This paper presents the results of a study on the modeling of the electrical heating system. Based on the entransy dissipation-based thermal resistance theory, heat source, heat exchanger, pipeline and heat load in the system are modeled from the perspective of thermo-electricity analogy method and two different pipeline models are given. The electrical heating system is a controllable load enhancing the flexibility of the power system and the model can effectively describe its dynamic response characteristics.
ieee international conference on renewable energy research and applications | 2017
Huan Ma; Qun Chen; Kang Hu; Yuanhang Dai; Lei Chen; Fei Xu; Yong Min
An effective way to solve the problem of wind power curtailment is to install heat storage (HS) facilities in CHP plants. However, the existing power grid does not have the ability to schedule the heat storage facilities. In this paper, we have developed the combined heat and power dispatching system to schedule the power plants as well as the heat storage facilities for the maximum effect of wind power accommodation. The results show that cooperating with the existing scheduling system, the combined heat and power dispatching system has fine-tuned the initial schedules with the adjustment of the heat storage facilities to achieve the desired effect of improving the wind power consumption. Meanwhile, the maximum heat storage amount of the HS facility that limits the capacity of increasing wind power accommodation. Whats more, the capacity can be affected when the heat load varies seasonally owing to the external characteristics of the CHP unit.
Journal of Energy Engineering-asce | 2017
Yuanhang Dai; Lei Chen; Yong Min; Qun Chen; Yiwei Zhang; Fei Xu; Kang Hu; Junhong Hao
AbstractEmploying thermal energy storage (TES) for combined heat and power (CHP) can improve flexibility in an integrated electric-thermal system (IETS) and therefore is beneficial to the accommoda...
International Journal of Heat and Mass Transfer | 2016
Yun Liu; Qun Chen; Kang Hu; Junhong Hao
International Journal of Heat and Mass Transfer | 2016
Junhong Hao; Qun Chen; Kang Hu
Atmospheric Environment | 2013
Kang Hu; Qun Chen; Junhong Hao
Energy | 2017
Kang Hu; Lei Chen; Qun Chen; Xiao-Hai Wang; Jun Qi; Fei Xu; Yong Min
Atmospheric Environment | 2014
Qun Chen; Kang Hu
IEEE Transactions on Sustainable Energy | 2018
Yuanhang Dai; Lei Chen; Yong Min; Qun Chen; Junhong Hao; Kang Hu; Fei Xu