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Energies 2022, 15, 1008 tion in SPF2 and a more significant one in SPF3 and SPF4 that led to satisfying concl during the spring anyway. Storage system performance: In order to evaluate the storage system perfor hourly energy analysis of heating, cooling and DHW production using the oper profiles was performed. The results on an annual basis of the analysis of the PCM for heating and DHW in relation to the solar contribution are presented in Table results are shown for the building according to the analysis of the TES tanks for h day (higher electricity tariffs) to night (lower electricity tariffs). The results were ob relation to the solar contribution, and the energy needs shifted from day (higher electricity without influencing the control system and without influencing the PCM in the tariffs) to night (lower electricity tariffs). The results were obtained without influencing the which could contribute to increasing the system’s performance. control system and without influencing the PCM in the BHEs, which could contribute to increasing the system’s performance. 11 of 16 cooling and DHW in relation to the solar contribution, and the energy needs shifte for the building according to the analysis of the TES tanks for heating, cooling and DHW in Table 6. Solar contribution and energy needs shifted from day to night. Table 6. Solar contribution and energy needs shifted from day to night. Solar Solar Fraction Collec- Heating Solar Fraction Heating Needs Cooling Needs S + DHW 10 30.5% Day to Night (Total Solar) 42.3% 44.8% Heating + Shifted Day to Heating Needs Shifted Cooling Needs Solar Collectors 10 Solar Fraction Heating 30.5% tors DHW Night (Total Solar) Solar Fraction Heating Day to Nigh Shifted Day to Night 44.8% 30.3% 30.3% 42.3% In Figure 8, the system’s operation for 3 days in June (cooling mode) is show InFigure8in,tghethseyssete3md’saoyps,earantiiomnpfort3andtayfrsaicntiJouneof(ctohoelicnogomlinogden)eiesdshsocwounl.dDbuerisnhgiftedfro these3days,an(hiimghpeorrtealencttfrriacicttyiotnaroifft)hteocnoigolhintg(lonweeedlsectoruiclidtybteasrhififf)t.edfromday(higher electricity tariff) to night (low electricity tariff). Figure 8. Indicative system operation for three days in June (cooling mode). Other important results regarding the performance of the PCM tanks were related to the amount of energy stored and the energy transfer rate (heating or cooling capacity). Table 7 shows the main characteristics of the PCM tanks. The cooling capacity was higher than the installed capacity of the respective heat pump (18.6 kW), confirming that as long as the PCM tanks had stored energy, they were able to cover all cooling needs even at peak times without any help from the heat pump. The heating capacity was lower than the installed capacity of the respective heat pump (26.3 kW). However, the higher heating capacity installed was only due to the needed cooling capacity, taking into account that in Cyprus, cooling needs are high. The design’s heating capacity was only 17 kW. Even so, the capacity was superior to the tanks. This means that if the tanks were warming up, they may have needed the heat pump support to cover their needs at some peak hours per year. u m a e d h t n mPDF Image | Latent Thermal Energy Storage Application
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