Arts & Humanities Instructional Building Noah J. Ashbaugh Construction Management 2006.
INSTRUCTIONAL MODULES DEMONSTRATING BUILDING … · INSTRUCTIONAL MODULES DEMONSTRATING BUILDING...
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INSTRUCTIONAL MODULES DEMONSTRATING BUILDING ENERGY ANALYSIS USING A BUILDING INFORMATION MODEL
Module 3: Simulation and Data Analysis
Christian Daniel Douglass
Industrial and Enterprise Systems Engineering
December 1, 2010
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Module Summary
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In this module:
• Ecotect is used to perform early design studies regarding weather, heating/cooling loads, and heat gains/losses.
• Ecotect and DesignBuilder are used in conjunction to find the optimal solar orientation and passive design strategy.
• DesignBuilder/EnergyPlus are used to simulate the effect of adding various energy conservation measures (ECMs) to a baseline design.
Module 3: Simulation and Data Analysis
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Running Simulations in Ecotect
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Ecotect’s analysis tools are accessed under the Calculate and Tools headings in the program’s main menu. The Calulate menu provides a number of different analysis tools focused on lighting, shading, solar access, acoustics, and thermal effects.
The Tools menu includes weather and solar analysis tools which provide detailed site information for a given weather file.
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Running Simulations in DesignBuilder
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DesignBuilder provides heating and cooling design tools, used to size building HVAC equipment, as well as detailed energy simulations. The energy simulations use EnergyPlus as the calculation engine.
The simulation dialog box, shown here, allows users to enter the time period over which the simulation will take place. Data can be outputted in intervals ranging from one year to under one hour. Simulation timesteps range from one per hour to one every five minutes.
Module 3: Simulation and Data Analysis
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Weather Analysis – Ecotect
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A weather analysis performed in Ecotect indicates the type of environment in which the building exists.
The wind frequency diagrams show that most wind is encountered from the south/southwest. The comparison of heating to cooling degree hours, shown in red and blue respectively, indicate a strongly heating-dominated climate.
Module 3: Simulation and Data Analysis
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Heating & Cooling Loads – Ecotect
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A monthly heating and cooling load calculation for the building shows that the heating load does significantly outweigh the cooling load. Here the shades of green inside each bar represent the individual contributions from the living area, kitchen/restroom, and bedroom areas of the building.
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Ecotect - Heat Gains & Losses
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Knowing the source of heat gains and losses can indicate where design efforts should be focused. Here it is shown that heat losses through the building envelope due to conduction and infiltration (shown in red and green, respectively) dominate the internal heat gains contributed by appliances, lighting, and occupants (shown in blue).
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Orientation Study – Ecotect
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A solar radiation study is performed in Ecotect to provide an early indication of the building’s optimal orientation with respect to the sun. It is hypothesized that this orientation will maximize passive solar gains through the large glazed areas, so long as the overhangs provide adequate shading in the warmer months. A detailed simulation can then be performed in DesignBuilder to confirm the orientation with the lowest energy requirement.
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Orientation Study – Ecotect
N
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A top view of the building shows its initial orientation with respect to the four cardinal directions. This orientation is defined to have an offset of 0°.
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Orientation Study – Ecotect
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The direction of north is then offset every 30°, simulating the effect of changing the building’s orientation to the sun.
The following slides show the average daily solar radiation on building faces for varying orientations.
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0°
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30°
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60°
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90°
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120°
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150°
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180°
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210°
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240°
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270°
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300°
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330°
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Best Orientation Estimate
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The 120 degree orientation is shown to have greater amounts of radiation on the private space glazing as compared to the 150 and 180 degree orientations, but less radiation than both on the public space glazing. Conversely, the 180 degree orientation provides the greatest radiation on the public space glass, but the lowest radiation of the three for the private space.
120°
150°
180°
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Best Orientation Estimate
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The 150 degree orientation is shown to provide benefits of both the 120 and 180 degree orientations, and thus is chosen as the estimate for the best orientation.
120°
150°
180°
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Orientation – DesignBuilder
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The same orientation study is performed in DesignBuilder. The figure to the left shows annual heating and cooling energy used by the building at each solar orientation.
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Orientation – DesignBuilder
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A close-up of the two graphs indicate the minimum and maximum points. Note that the vertical axis scale of the heating graph is an order of magnitude greater than that of the cooling. It is shown that the optimal orientation for heating energy is 150°, the same result suggested by Ecotect. The optimal cooling energy orientation is located at 300°, where the glazing would face away from the sun.
Module 3: Simulation and Data Analysis
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Orientation – DesignBuilder
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The heating load dominates the cooling load, and the building’s optimal solar orientation is 150°.
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Elements of Passive Solar Design
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Several design elements work together to effectively use the sun’s own energy for passive heating. These design elements include properly-sized glazing, overhangs to block out unwanted summer sun, and thermal mass to capture and release heat in the winter. DesignBuilder can be used to quantify the benefits of a good passive solar design, while Ecotect can be used to help explain benefits through visualization.
Large fireplace provides thermal mass
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Elements of Passive Solar Design
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First, a solar ray analysis is used in Ecotect to visualize the impact of passive solar design elements in the winter and summer months. Next, a solar orientation study is performed in DesignBuilder with and without the effects of roof overhangs and large thermal mass in the living area.
Large fireplace provides thermal mass
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Passive Solar Design – Ecotect
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This is the sun’s relative position to the building on July 28th at 12:00pm.
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Passive Solar Design – Ecotect
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This is its position on December 28th at 12:00pm.
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Building with overhangs, December 28, 12:00 pm
Passive Solar Design – Ecotect
Module 3: Simulation and Data Analysis
The low angle of the sun in December allows solar rays into the living area space, even with roof overhangs.
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Building without overhangs, December 28, 12:00 pm
Passive Solar Design – Ecotect
Module 3: Simulation and Data Analysis
Without roof overhangs, the living space receives even more solar ray penetration.
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Passive Solar Design – Ecotect
Module 3: Simulation and Data Analysis
An interior view of the building shows the thermal mass’s ability to capture and store heat during the winter months.
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Building with overhangs, July 28, 12:00 pm
Passive Solar Design – Ecotect
Module 3: Simulation and Data Analysis
In the summertime, the roof overhangs effectively block solar rays from entering the living space.
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Building without overhangs, July 28, 12:00 pm
Passive Solar Design – Ecotect
Module 3: Simulation and Data Analysis
Without overhangs, the sun’s rays are able to enter the living area, heating the space during the cooling period of the year.
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Passive Solar Design – DesignBuilder
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Thermal mass and no overhangs provide the best solution for reducing heating energy.
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However, no overhangs significantly increase annual cooling energy.
Passive Solar Design – DesignBuilder
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The combination of overhangs and mass work together to provide the lowest annual energy use at the optimal solar orientation.
Passive Solar Design – DesignBuilder
Module 3: Simulation and Data Analysis
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ECM Analysis – DesignBuilder
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Using DesignBuilder and EnergyPlus, the impact of design changes associated with the following building elements are explored:
• wall insulation
• roof insulation
• glazing
• lighting
• major appliances
• HVAC and water heating systems
Module 3: Simulation and Data Analysis
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Envelope Insulation
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The baseline wall insulation, R-19 fiberglass insulation is compared to R-19 fiberglass in combination with varying thicknesses of expanded polystyrene (EPS) and extruded polystyrene (XPS) rigid insulation.
Wall Roof
Similarly, varying thickness of rigid foam insulation are added to the roof. The flat design aesthetic of the roof limits the number of practical choices.
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Glazing
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Window U-values and solar heat gain coefficients from DesignBuilder’s window library
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Electric Loads
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Source: http://www.energystar.gov
Appliances
Lighting
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HVAC and Hot Water
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HVAC and hot water systems meeting minimum energy codes are compared to high efficiency and Energy Star units.
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ECM Simulation Results
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Simulation results shown for both individual ECMs and a combination of ECMs (“Combined measures”).
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ECM Economic Analysis
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The net present value of implemented ECMs is given for various time horizons. For the combined measures, it was assumed that the decision maker wanted ECMs to meet a payback period of 10 years.
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ECM Economic Analysis
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The combined measures include upgraded wall insulation (fiberglass batting with 2” EPS), double-pane argon windows, upgraded HVAC and hot water systems, and all CFL lighting.
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Conclusions and Recommendations
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• A building energy analysis workflow that leverages existing data from a building information model can be successfully implemented.• Some data quality issues were experienced during data export and import, but all issues were able to be resolved.• The features of the BIM workflow that added the most value and saved the most time were: the ability to export building geometry, the ability to define thermal zones, and the ability to use material take-offs for cost estimation. • A desirable feature would be the ability to impart material construction and operational schedules to the BIM. In the author’s point of view, this would be the next logical place to save time and add value.• Two energy models based on the BIM data were used to evaluate the energy performance of an existing residential building.
• The simulation results showed a 15% difference in heating and cooling energy between best case and worst case passive solar design strategies. • An analysis of seven ECMs resulted in a 21% energy savings over a baseline design, assuming a 10-year payback horizon.
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Appendix – ECM Savings Assumptions
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• Cost of energy is based on forecasted national averages in 2008 dollars (see right) from the U.S. Energy Information Administration (http://www.eia.doe.gov/oiaf/forecasting.html).
• A real discount rate of 3% is assumed for net present value calculations.
• Incremental costs were calculated using the RS Means 2010 Construction Data book and www.energystar.gov.
Module 3: Simulation and Data Analysis