Scissa was procedure in Section 4.3. The iteration curve was shown in Figure 9, exactly where the abscissa was the number of iterations and the ordinate was the convergence residual inin the optimizathe quantity of iterations as well as the ordinate was the convergence residual the optimization tion approach ofobjective function. It canIt can bethat, right after 253 iterations plus the optimization method of the the objective function. be observed observed that, right after 253 iterations plus the optimization final results would be the operating expense of your solvedof the solved creating cluster was final results are obtained, obtained, the operating price building cluster was 11,471.97 , and 11,471.97 , along with the average comfort level was 98 . the average comfort level was 98 .Figure 9. Iterative curve. Figure 9. Iterative curve.five.2.two. Efficiency Analysis of Energy Management five.two.two. Efficiency Analysis of Power Management So as to verify the effectiveness on the energy management technique of building In order PRAS and heating pipe network based management approach of creating clusters withto verify the effectiveness of the energyon the i-d diagram proposed within the clusters two scenarios for comparativenetwork basedset up, as follows: proposed within the write-up, with PRAS and heating pipe evaluation were around the i-d diagram article, two scenarios for comparative analysis were set up, of creating clusters with PRAS S1: Heat Tasisulam Apoptosis balance AAPK-25 MedChemExpress calculation and power management as follows: and heating pipe network determined by the i-d diagram; S2: Heat balance calculation and power management of constructing clusters with PRAS and heating pipe network devoid of thinking about i-d diagram. Exactly where S1 was the technique proposed in Section four, and S2 was the energy management with the constructing cluster only for the set temperature of 23 C without the need of indoor air conditioning by way of the i-d diagram. The energy management fees of S1 and S2 are shown in Table 3.Table 3. Comparison of creating cluster power management results in unique scenarios. Outcome F Sk BEE F S1 11,480.48 97.91 22.30 11,480.48 S3 11,666.45 100 22.60 11,666.Based on Table three, compared with S2, the total operating expense of S1 was lowered by 1.59 , which was a lot more economical with regards to energy consumption. Although the averageSensors 2021, 21,11 ofcomfort of S1 was lowered to 97.91 inside the allowable array of user comfort. It may be observed that the heat balance calculation and energy management of creating clusters with PRAS and heating network determined by the i-d diagram have been beneficial to reduce the operation price of constructing clusters although making certain the average comfort. Nonetheless, the creating energy efficiency of S2 was 0.3 higher than that of S1, primarily since the user comfort of S2 was one hundred , the energy output on the numerator of your energy efficiency formula for S2 was greater than that for S1, the optimization purpose was the lowest price, and the natural gas energy input in denominator was increased, so the developing power efficiency of S2 was slightly enhanced compared with S1. five.two.three. Power Management Scheme The indoor temperature management of three buildings in the building cluster was shown in Figure 10. The indoor heating load obtained by calculating the heat balance depending on the i-d diagram was shown in Figure 11. It might be observed from Figure 10 that the indoor temperature settings of the three buildings fluctuate up and down around 23 C, which was because the comfort of users and HI had been utilized in energy management, and the indoor temperature settings were adjust.
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