2017
DOI: 10.1016/j.proeng.2017.10.170
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Sustainable Building Design Based on the Second Order Probability Approach

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Cited by 5 publications
(4 citation statements)
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“…Carlo simulation is the most straightforward approach for propagating aleatory and epistemic uncertainty in a different manner. This method is also named the second-order probability, double loop, two-stage, 2-D Monte Carlo, or nested Monte Carlo method [70,141,142]. The outer loop simulates epistemic uncertainty, whereas the inner loop represents aleatory uncertainty.…”
Section: Two-dimensional (2-d) Montementioning
confidence: 99%
“…Carlo simulation is the most straightforward approach for propagating aleatory and epistemic uncertainty in a different manner. This method is also named the second-order probability, double loop, two-stage, 2-D Monte Carlo, or nested Monte Carlo method [70,141,142]. The outer loop simulates epistemic uncertainty, whereas the inner loop represents aleatory uncertainty.…”
Section: Two-dimensional (2-d) Montementioning
confidence: 99%
“…Note that other performance measures can be also used for this method, such as overheating risk in natural ventilation buildings. [6,8], [7,9] 0.3, 0.7 [6,7], [7,8] 0.4, 0.6…”
Section: A Case Study Of Building Energy Modelmentioning
confidence: 99%
“…The equipment peak value has two discontinues intervals [13,15] and [16,17], which leads to significant jumps of CBF and CPF in Figure 7a and Figure 7b. The overlapping intervals from lighting peak values ( [6,8] and [7,9]) also have important influence on carbon emissions. In case B (Table 2), the intervals for equipment and lighting equipment gains become more continuous by combining the opinions from two experts.…”
Section: Annual Heating Energymentioning
confidence: 99%
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