Seasonal thermal energy storage

Summary

Seasonal thermal energy storage (STES), also known as inter-seasonal thermal energy storage, is the storage of heat or cold for periods of up to several months. The thermal energy can be collected whenever it is available and be used whenever needed, such as in the opposing season. For example, heat from solar collectors or waste heat from air conditioning equipment can be gathered in hot months for space heating use when needed, including during winter months. Waste heat from industrial process can similarly be stored and be used much later or the natural cold of winter air can be stored for summertime air conditioning. STES stores can serve district heating systems, as well as single buildings or complexes. Among seasonal storages used for heating, the design peak annual temperatures generally are in the range of , and the temperature difference occurring in the storage over the course of a year can be several tens of degrees. Some systems use a heat pump to help charge and dischar

Official source

https://en.wikipedia.org/wiki/Seasonal_thermal_energy_storage

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Optimal Control Strategies of Seasonal Storage Devices for District Energy Management

Julien Jocelyn Leprince

The potential energy savings resulting from the cooperative management of community districts, also known as energy hubs, has been widely demonstrated throughout the literature. Various developed predictive control strategies have proven to generate remarkable gains by exploiting the shared energy generation, conversion and storage devices of building communities. However, one difficulty amongst these methods lie in the integration of information regarding the long term perturbations brought to the system. While most of the existing work considers prediction horizons ranging from day ahead to weekly time frames, recent studies have explored the control of inter-seasonal storage units on a yearly basis through available historical data sets. This study focuses on testing and improving the existing methods while integrating combined and stand alone wind generation to the system. In particular, the contribution of the seasonal storage state bounds for Value function approximation and control process has been investigated for several well-known methods, including scenario approach, stochastic dual dynamic programing and adaptive dynamic programing. Solving the resulting multistage stochastic optimization problem reveals very good results and demonstrate the contributions of the bounds to almost all Value function approximation methods. In fine, the integration of wind production to the system underlines the importance of seasonal trends for efficient optimization of long term storage and suggests using tolerance margins around the bounds for systems particularly sensitive to perturbations.

2018

Guide to seasonal heat storage

Pierre Chuard, Dominique Chuard, Jean-Christophe Hadorn

Swiss association of engineers and architects (SIA)1988

Sensitivity analysis on optimization of PV installation with thermal energy storage

Diane Delphine Remmy

The installation of solar panels on building roofs is increasing and considered as a potential solution to decarbonise the current energy system. However, how to make the best use of this energy is yet to be determined. In this project, two already developed optimization algorithms are compared to analyse the synergy between thermal storage and photovoltaic power production. The energy system includes photovoltaic panels, a heat pump and electric heaters. The conducted sensitivity study shows that the simulation of the thermal and electrical fluxes depends on whether self consumption or the minimization of the operational cost is favoured and thus impacts the usage of the produced power.

2020