x It is necessary to adapt the power of the TES system to the requirements of the plant where it is integrated.
x It is necessary to find a geometry which allows reducing the complexity of the system and, consequently, its
price.
Therefore, there is an implicit need for optimizing the design of different Latent Heat Thermal Energy Storage
(LHTES) configurations. Mathematical modeling is the best approach for applying any optimization method to the
design of these systems, and a wide number of modeling approaches have been used for the simulation of LHTES
systems of different nature [2]. It includes exact analytical solutions [3-5], numerical methods [6 -11], simplified
analytical approaches [12 -13] and simplified numerical methods [14- 15]. parametric optimization routine in order to reduce the volume as much as possible for given operating conditions.
T he resulting design is compared with a 500 l conventional hot water storage system.
This paper is organised in seven different sections, as follows: Section 2 presents the innovative finned-plate
LHTES system, both the configuration and the PCM used as the storage medium. In Section 3 the modeling
approach is presented. The conventional hot water tank is presented in Section 4 and the comparative framework is
presented. Thus the optimal LHTES system design is obtained and its performance during the charging and
discharging process is evaluated. The discussion of the results is carried out in Section 5 and finally, the main
contributions of the study are summarized in Section 6.
In this paper, amongst all the possible LHTES configurations, an innovative finned -plate heat exchanger -based
system is selected, where water runs as the Heat Transfer Fluid (HTF). This system and its modeling were already
covered by the author in a previous paper and it was concluded that, amongst the previous stated methods, the
simplified numerical method is the most suitable one for optimization purposes [16]. That model is included in a
x It is necessary to adapt the power of the TES system to the requirements of the plant where it is integrated.
x It is necessary to find a geometry which allows reducing the complexity of the system and, consequently, its
price.
Therefore, there is an implicit need for optimizing the design of different Latent Heat Thermal Energy Storage
(LHTES) configurations. Mathematical modeling is the best approach for applying any optimization method to the
design of these systems, and a wide number of modeling approaches have been used for the simulation of LHTES
systems of different nature [2]. It includes exact analytical solutions [3-5], numerical methods [6 -11], simplified
analytical approaches [12 -13] and simplified numerical methods [14- 15]. parametric optimization routine in order to reduce the volume as much as possible for given operating conditions.
T he resulting design is compared with a 500 l conventional hot water storage system.
This paper is organised in seven different sections, as follows: Section 2 presents the innovative finned-plate
LHTES system, both the configuration and the PCM used as the storage medium. In Section 3 the modeling
approach is presented. The conventional hot water tank is presented in Section 4 and the comparative framework is
presented. Thus the optimal LHTES system design is obtained and its performance during the charging and
discharging process is evaluated. The discussion of the results is carried out in Section 5 and finally, the main
contributions of the study are summarized in Section 6.
In this paper, amongst all the possible LHTES configurations, an innovative finned -plate heat exchanger -based
system is selected, where water runs as the Heat Transfer Fluid (HTF). This system and its modeling were already
covered by the author in a previous paper and it was concluded that, amongst the previous stated methods, the
simplified numerical method is the most suitable one for optimization purposes [16]. That model is included in a
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