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Application of Monte Carlo-based predictive stochastic model for energy efficiency retrofit in building clusters

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Sep 26, 2025

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Figure 1.

The composition of the building energy information model
The composition of the building energy information model

Figure 2.

Gibbs sampling
Gibbs sampling

Figure 3.

Doodle model
Doodle model

Figure 4.

Traditional residential life cycle cost
Traditional residential life cycle cost

Figure 5.

Ecological residential full life cycle cost
Ecological residential full life cycle cost

Figure 6.

Ecological residential full life cycle cost
Ecological residential full life cycle cost

Figure 7.

Ecological residential full life cycle cost
Ecological residential full life cycle cost

Figure 8.

Analysis of energy saving measures based on Bayesian energy model
Analysis of energy saving measures based on Bayesian energy model

Figure 9.

Energy consumption comparison results
Energy consumption comparison results

Figure 10.

Comparison of LSBESR database and the actual energy saving rate
Comparison of LSBESR database and the actual energy saving rate

Figure 11.

Energy consumption and energy consumption
Energy consumption and energy consumption

Figure 12.

Comparison of simulation results with actual observations
Comparison of simulation results with actual observations

Energy saving investment recovery period

Cost of construction cost Average energy saving investment recovery period The energy efficient investment returns 90% of the number
5100 9 year 10 year
5200 12 year 13 year
5300 25 year 26 year

Fixed information input parameters table of 15 retrofit buildings

Primary energy consumption Post-renovation energy consumption Floor area Layer height h0(m) Ka(m) a(m) (k+1)/k h0/a h0/h
Building 1 8.56E+13 6.85E+13 113973 54 4 92 22 1.2 0.16 0.02
Building 2 6.33E+13 5.2E+13 68119 32 4 115 17 1.18 0.15 0.06
Building 3 4.89E+13 4.36E+13 53417 28 4 302 61 1.21 0.04 0.03
Building 4 3.8E+13 2.95E+13 44806 9 4 159 22 1.14 0.14 0.08
Building 5 1.33E+13 1E+13 20007 22 4 42 22 1.5 0.15 0.04
Building 6 1.05E+13 7.95E+13 20690 21 4 51 20 1.4 0.16 0.05
Building 7 3.96E+13 3.12E+13 103368 32 4 82 39 1.53 0.06 0.02
Building 8 2.95E+13 2.65E+13 55414 43 4 59 22 1.3 0.16 0.01
Building 9 2.01E+13 1.45E+13 31809 22 4 66 24 1.3 0.17 0.05
Building 10 1.88E+13 1.52E+13 53983 39 4 82 17 1.25 0.14 0.04
Building 11 1.32E+13 1.11E+13 26881 20 4 52 19 1.37 0.16 0.03
Building 12 9.9E+13 6.95E+13 23695 25 4 47 23 1.46 0.16 0.02
Building 13 9.23E+13 7.58E+13 30833 32 4 50 21 1.4 0.14 0.03
Building 14 6.21E+13 5.22E+13 17629 22 4 44 22 1.47 0.13 0.06
Building 15 9.55E+13 8.13E+13 284633 30 4 398 299 1.75 0 0.03

The monthly use of a building is based on the number of electricity

Pretransformation Retrofitting
2018 2019 2020 2021 2022 2023
January 148 118 162 121 111 96
February 98 135 98 107 98 88
march 109 172 91 86 91 77
April 20 55 61 51 60 51
may 75 43 73 57 54 51
June 87 80 79 74 60 62
July 108 99 105 88 73 82
August 135 103 111 79 87 83
September 80 80 70 83 68 61
October 67 61 63 58 53 42
November 60 56 58 41 43 51
December 130 110 106 117 91 67
Total 1117 1112 1077 962 889 811

Cost comparison

Housing type Cost of construction cost Final assembly Standard deviation Confidence interval(95%)
Ecology 5100 544322 1989 (540802,547936)
Ecology 5200 554158 1936 (550815,557855)
Ecology 5300 564251 1922 (560933,567811)
Tradition 5000 595582 4969 (585904,605372)
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English