Open AccessNumerical Analysis and Parametric Optimisation of Heat Release from a Packed Bed (MgSO4) Thermochemical Reactor
Author(s) -
Swaraj Kumar B*,
James Varghese,
Aboobacker Kadengal
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6421.018520
Subject(s) - packed bed , porosity , energy storage , thermal energy storage , work (physics) , particle (ecology) , materials science , energy balance , particle size , chemical reactor , chemical engineering , nuclear engineering , chemistry , thermodynamics , composite material , chromatography , engineering , power (physics) , physics , oceanography , geology
Thermochemical energy storage is one of the process which is capable of both short term and long term energy storage. Incorporating this storage method with solar energy is important when we considering seasonal or long term thermal energy storage. Thermochemical energy storage uses chemical reactions to store and release the energy. The charging or storage temperature of the thermochemical material (TCM), porosity of the reactor bed, concentration of reactants etc. are some of the important factors which affects the storage and release of the energy of a TCM. In this work we investigate the energy release from MgSO4 by modelling the hydration reaction of MgSO4 in a packed bed reactor with continuous flow of moist air through the bed. It is observed that the parameters such as porosity of the reactor bed, mass flow rate of moist air, particle diameter, concentration of water vapour etc. play an important role on the energy release from the TCM. Thaguchi method is used to optimize these parameters. The porosity of the reactor bed and the particle size of the TCM are found to be crucial in energy release.