Key Laboratory of Smart Grid of Ministry of Education Researchers Detail New Studies and Findings in the Area of Energy (Optimal scheduling method of regenerative electric heating for emergency residential building heating: An affine ...)

2023 MAR 29 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- New research on energy is the subject of a new report. According to news reporting out of the Key Laboratory of Smart Grid of Ministry of Education by NewsRx editors, research stated, “Residential heating faces the challenge of heating interruption when an electric power outage occurs. As a promising heating electrification form, regenerative electric heating (REH) equipped with thermal energy storage (TES) has the flexibility of maintaining the building indoor temperature within the desired range during power outages and reducing the operation cost during normal operation states.”

Our news correspondents obtained a quote from the research from Key Laboratory of Smart Grid of Ministry of Education: “However, the allocation and scheduling of the limited thermal energy in TES for the above two purposes is impacted by many uncertainties, for example, outdoor temperature, irradiation, and duration of power outages. Overestimation of the thermal energy required for power outages in the TES can improve the heating supply reliability, but it will also increase the REH operation cost to some extent, and vice versa. To address this problem, an affine arithmetic-based model predictive control approach (AA-MPC) for an optimal REH scheduling method is proposed to balance the heating supply reliability during power outages and operation economy of REH at the same time. An REH-based residential building energy system model is developed to describe the building thermal load associated with the outdoor temperature and irradiation. Then, the required thermal energy for emergency building heating provided by the hot water tank (HWT) is determined using the minimum thermal demand of residents during a power outage, which is constrained by the minimum comfort temperature threshold. Based on this, an AA-MPC approach that takes the thermal energy for emergency building heating as a time-varying constraint of the HWT is developed to determine the optimal REH scheduling that considers emergency residential building heating under the above uncertainties. Numerical studies show that the proposed method can maintain minimum thermal demand for at least 2 h when a power outage occurs under uncertainties.”

According to the news reporters, the research concluded: “At the same time, it can reduce the impact of uncertainties on the operation cost and reduce economic problems caused by emergency heating to a certain extent. Compared to the interval arithmetic-based model predictive control approach, the operation cost intervals of the proposed method are reduced by 57.3%, 0.3%, and 32.5% under low, middle, and high prediction error levels respectively.”

For more information on this research see: Optimal scheduling method of regenerative electric heating for emergency residential building heating: An affine arithmetic-based model predictive control approach. IET Energy Systems Integration, 2023,5(1):40-53. The publisher for IET Energy Systems Integration is Wiley.

A free version of this journal article is available at https://doi.org/10.1049/esi2.12082.

Our news editors report that more information may be obtained by contacting Jiarui Zhang, Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China.

(Our reports deliver fact-based news of research and discoveries from around the world.)