Performance Assessment of Solar Energy Powered Pre cooling Strategies in Office Building - Engineering Assignment Help

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Assignment Task

Results: Interpretation 
You should interpret the results correctly. Patterns and trends should be recognised where appropriate. All sources of error and limitations of experimental/simulation/fieldwork/case study should be identified correctly. There should be no gap in the interpretation of the results.
results: Analysis and Discussion 
Results are thoroughly and logically discussed meeting the project objectives. The results are nicely linked with the literature. The analysis demonstrates an excellent understanding of all elements of the research, a high level of independent thought and critical thinking.
All results must be discussed in tables and graphs briefly also shows the simulation results with results

For each of the design condition, you need to show Site data, Comfort (temperature, humidity, fangerpmv), Cooling Load, System Profile, Cooling and Total energy Consumption related data. Run the simulation and show the data as follows:
• Comfort (temperature, humidity, fangerpmv) should only be shown for Summer and Winter weeks In hourly distribution
• Site data, Cooling Load, System Profile (chiller etc) related information  can be shown in Summer and Winter Season (hourly / daily distribution) and Annual (monthly distribution)
• Cooling and Total energy Consumption related data related information should be shown Summer and Winter Season (daily distribution) and Annual (monthly distribution)
You may consider extracting the data from the software and plot in excel; and discuss all the results in details in word.
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Methodology
Firstly you need to create base model ofmultistory office building
• In first strategy, we consider the office will start working at 8 am and we start system at 6 am and this will be 2 hours intervalsolar pre -cooling strategy and the temperature we have to consider temperature is 19, 20, 21 degree Celsius and separately applying these temperature for results
• Another one, we start office working at 8am and we start cooling system at 7 am and this will be 1-hour interval strategy. The temperature is considered is 19, 20, 21 degree Celsius. and separately applying these temperatures for results
• The solar energy used for these strategies.

• The Design-Builder software will be used for the implementation phase of the project.. All the data is based on the design-based simulation process. The pre-cooling strategies will be applied in the design-builder. Also, it will be for the Australian climate zones likeQueensland,

1.3 Research Questions
• How can the energy-saving potential be achieved through solar pre-cooling and pre-heating strategies? Are there any associated implications with these strategies? 
• How much conventional grid energy can be saved using solar pre-cooling and pre-heating strategies?
• Is time for the precooling is selected appropriately for identifying the effectiveness of the strategies in dealing with high peak energy requirements at the start of the day?

Objectives
• To assess the impact of the solar pre-cooling system in diverse climate conditions
• To identify the demand energy-saving potential of solar in the pre-cooling of commercial buildings.
• To assess thermal comfort under pre-cooling strategies.
To determine the role of solar energy in pre-cooling service and associated energy and environmental

 

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