Modeling buildings and smart energy systems requires coupling a wide range of
components into one unified simulation process, which can be difficult given the complexity …

In the context of demand side management, the scientific community has directed some
effort into research related to modifying the load curve of consumers, where this becomes an …

Refined control is significant to ensure on-demand heating and efficient operation in district
heating system (DHS). This paper proposes a dynamic control strategy for substations …

Conventional district heating (DH) substations in China use a feed-forward adjustment
method that predicts the water supply temperature based on the outdoor temperature. This …

In buildings, there are two yet conflicting optimization goals: 1) minimize energy use and
energy cost and 2) maximize thermal comfort. Model predictive control (MPC) is an ideal …

Recent simulation-based studies have indicated that load shifting using Economic Model
Predictive Control (E-MPC) of radiators for residential space heating can be utilized for …

The realization of refined management in the heating station can not only meet the
comfortable indoor, but also improve the energy efficiency, reduce the heating consumption …

Most of the existing predictive models for heating station, which are based on outdoor
meteorological parameters, are feed-forward adjustment, without considering the influence …

For residential buildings with radiator heating system, the supply temperature is
conventionally adjusted by weather compensator, which results in large fluctuations in the …

The lack of efficient temperature and flow rate control strategy is one of the key factors in
excessive energy consumption of the district heating (DH) system. The current researches …