D. ceeded, the increasing of H2 production can no longer compensate for the growing of five.two. TRNSYS Model Validation absorbed energy. To evaluate the economic and transient power overall performance selection of existing density As a consequence, the cell need to normally operate inside a specificof the proposed program, a dynamic an optimal operation. For values environment is performed. linear field with the to achievesimulation performed in TRNSYS of this parameter out of your Benefits are shown polarization curve, the conversion efficiency is very low. Moreover, when the temperature on the cell is also high, the degradation from the cell occurs significantly more quickly. The selected present density range for the SOFC is in between 400 and 1400 mA/cm2, whereas for the SOEC, it is300100 mA/cm2. By suggests with the design parameters from the cell, it is actually achievable to decide the selection of electric power that can be supplied by the PV field or demanded by the load. 5.2. TRNSYS Model ValidationEnergies 2021, 14,To evaluate the economic and transient energy efficiency with the proposed technique, a dynamic simulation performed in TRNSYS atmosphere is performed. Benefits are shown right here and discussed on daily, monthly, and yearly basis. The tool returns the timedependent behavior ofdaily, monthly, and yearly basis. The tool returns the time-dependent here and discussed around the technique for any 1-year operation. For sake of brevity, the following sections will analyze only a 1-year operation. For sake of brevity, theparametricsections will behavior in the system for one representative day. Moreover, a following analysis on the hydrogen 1 representative day. Moreover, optimal configurationon the hydrogen proposed analyze only storage is performed to evaluate the a parametric evaluation of system. is performed to evaluate the optimal configuration with the proposed program. storage5.2.1. Everyday Final Orotidine Formula results 5.two.1. Daily Final results Figure 7 shows the dynamic outcome in the transient simulation for the 31st of July, Figure 7 shows the dynamic outcome from the transient simulation for the 31st of July, selected as a representative selected as a representative day to discuss the dynamic trends.13 ofDynamic final results Figure 7. Dynamic results for the electricity transient evaluation.Here, the plot clearly shows the exceptional misalignment between the production, Here, the plot clearly shows the outstanding misalignment among the PVPV producPel,PV , el,PV, along with the electric demand, Pel,LOAD. is justified by the fact that a that a residential tion, Pand the electric demand, Pel,LOAD. ThisThis is justified by the fact residential electric load is load is regarded. around the on the 1 hand, the peaks with the demand mostly take place electric regarded as. Actually, Actually, one hand, the peaks from the demand mainly occur in the very first hours of the morning, between 8:00 8:00 and 10:00, and the evening, among 16:00 in the 1st hours with the morning, betweenand 10:00, and the evening, among 16:00 and 18:00. However, the solar MK-1903 Formula radiation is maximum during the central hours in the and 18:00. However, the solar radiation is maximum throughout the central hours of day. Therefore, this misalignment promotes the the H2 production in the central hours of the the day. Hence, this misalignment promotes H2 production inside the central hours of your day, among ten:00 and and 16:00. The compression function, P , is , is zero when the the electricday, involving 10:00 16:00. The compression perform, Pel,compel,compnot not zero when electricity is su.
