Abstract

Occupant behavior is recognized as a major source of discrepancy between simulated and actual energy consumption. This study investigates the uncertainty of energy and economic performance of manual solar shades for the south facade. A developed stochastic model for manual solar shades based on a discrete-time Markov chain method was constructed in Building Controls Virtual Test Bed (BCVTB) for co-simulation with EnergyPlus. The stochastic shade model was compared with deterministic models concerning energy savings potential and life cycle economic performance at different building scales (i.e., from a single room to a whole building). The results show that annual energy uncertainty, due to occupant behavior, on manual shades can be neglected at the building level, whereas for sizing heating equipment, energy uncertainty should be considered. The payback period for manual shades is about 10 years and, in general, a larger building has a higher economic performance. Comparative analysis shows that there is a relatively big performance overestimation or underestimation by commonly used deterministic models in building simulation tools, and thus may lead to a biased economic analysis or even an inappropriate design decision when comparing different energy-saving measures.

Highlights

  • A few researchers [21,22] simulated building energy performance by considering different occupant behaviors, the energy uncertainty resulting from manual shades alone cannot be directly obtained from these studies since they only gave the overall impact of different occupant behaviors

  • A more general shade behavior model, based on widely used manual shades in China, was developed by [1] using the Markov Chain method and this model has been coupled with simulation tools for predicting energy performance of manual shades

  • Using the above fitting analysis, the distribution of predicted energy demand can be determined and the Monte Carlo analysis can be conducted by sampling from these normal distributions to determine energy uncertainty, which can be calculated as follows using the coefficient of variation index [20]: CV

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Summary

Importance of Solar Shading Devices

Solar shading devices represent one of the most important bioclimatic components and are popular strategies used by designers to improve façade performance. The use of solar shading systems presents a crucial aspect in improving energy efficiency in buildings. Among different types of shading, movable solar shading devices play a critical role in balancing various aspects of indoor environmental quality, such as daylight levels, discomfort glare, view to outside, privacy, and thermal comfort. They are widely used in buildings either manually operated or motorized controlled by the building automation system. The prediction of energy performance of manual shades should take into account behavior characteristics, to have a better estimate of the energy savings and economic performance of manual shades (such as life cycle payback periods of manual shades)

Literature Review
Limitations
Literature
Research Gaps
The Stochastic Model of Manual Solar Shades
Energy Performance
Number of Repeated Simulations
Economic Analysis
Comparison of Behavior Models with Deterministic Models
Uncertainty of Shade Control
Economic Performance
Full Text
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