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Hone Worksheets

 
Optimisation worksheets provides a link between the problem domain and the optimisation algorithm. With the aid of prepared worksheets, the user will gain the opportunity to undertake a several optimisation studies. The readily available studies accessible to the user are as follow:
 
1.       Minimising Conditioning Energy and Maximising Comfort
2.       Optimising Humidity Levels for Comfort and System’s Energy
 
Tutorial Model
The selected tutorial model is a generic multi-storey office building compromised of open plan offices, meeting rooms, recirculation areas and toilets.
The office building is accurately modelled to effectively illustrate the utilisation of the different preconfigured worksheets for optimisation studies in the physical world. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Utilising the Worksheets for Optimisation Studies
The process of utilising the templates first involves the use of Elements to create the parameter rules and variables. The process of exploiting the worksheets is efficient and only requires the use of the Hone Tool as the objectives and variables are predefined. The preconfigured worksheets can be utilised by adhering to the following steps.
 
Undertaking an Optimisation Study using the Parametric Tool
Within Hone, click on Open Optimisation Project and select the worksheet desired for the study. The worksheet will be in a .moop format. 
 
 
Once the optimisation worksheet is selected, the user will be presented with a preconfigured worksheet and the user can now prepare the worksheet to run a study on the desired model:
 
1.        Start with selecting the Apache Input File of the model (APR)
 
2.        The design parameters are pre-set, but if the user desires to alter the bounds of the variables, this can be done at ease by inputting the preferred values.
 
3.        We highly advise to revise the Simulation setting to ensure that the appropriate amount of Apache simulations to run in parallel are suitable for the user’s machine.
 
        
Click on ‘Start’ to begin the optimisation study.