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Solar Radiation Studies

Environmental Performance Simulation (EPS) | 2022 
Simulation Studies | (MSSD) Carnegie Mellon University 
Tools: Rhino, Grasshopper, Climate Studio & Ladybug Plugins| Type of Work: Teamwork

This study aims to be able to conduct a set of manual parametric analyses using the computational tools (Rhino-Grasshopper ClimateStudio with EnergyPlus engine) by varying physical (geometric) and thermo-physical properties of building components and systems and evaluate subsequent effects on the thermal performance of an architectural space. Further, “spatial comfort analysis” was used for quantification and graphical representation of occupants’ thermal comfort in indoor building spaces.

Baseline model-2.png

 Building  Case Model in Los Angeles

Capture.PNG

In this assignment, we explored the thermal properties of the assigned office unit located in Los Angeles. For thermal performance simulation, the model is constructed by separated surfaces instead of a close polysurface. We mapped the hourly temperature analysis, spatial thermal comfort analysis, hourly heat gains and losses, and hourly heating & cooling energy analysis. Then we carried whole building performance analysis for the baseline building. From these baseline settings, we did design iterations for a mechanical system with various COPs to find the most suitable heating-cooling system.

Baseline Hourly Temperature Analysis

Components and simulation results for an extremely cold week in an open office

Components and simulation results for an extremely cold week in an open office

Baseline Spatial Thermal Comfort Analysis

4b-Spatial Thermal Comfort ANalysis.png

Open office extreme cold & extreme hot week hourly temperature (degree C)

Baseline Hourly Heat Gains & Losses Analysis

4c-Total Heat Loss+Gain.png

The data was collected on 21st Jan for Heat Loss & 21st July for Heat gain, and then graphed to segregate the Total Heat Loss and Heat gain by different components

Baseline Mapping Loads Data onto Thermal Zone Geometries

4e- Mapping the Simulation Results .png
Open Office-Core_View-1.png

The above workflow maps the Thermal Load Data onto the
Thermal zones of the given Geometry

Baseline Heating & Cooling Energy Consumption Analysis

4d- Heating & Cooling Energy Consumption.png

The above workflow shows the Total Annual Heating & Cooling Energy Consumption by the baseline model and then graphed into Monthly Energy Consumption

Baseline Whole-Building Environmental Performance Analysis

4f-WHole Building Energy Consumption.png

Performance of the Whole Building along with Monthly Disaggregated EUI

Report:

The attached document will provide a detailed description of the above analysis and results.

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©2023 by Sayali Lamne

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