Pritish Dey Sarkar

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  • Evaluation Metric 1: Estimating Value by Floor Area

1) First analyzed with various combinations of height and rotational parameters of the building.

2) Rotational parameter was incorporated to evaluate the valuation.

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3) Various testing nodes are introduced.

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4) Computed value based on the values at each levels and values depending on the rotations.

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  • Evaluation Metric 2: Estimating Solar Potential - All Building Surfaces

1) Setting up of different input and testing node parameters.

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2) Cumulative, Average, and Peak Insolation values were incorporated to evaluate the building.

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3) Setting up of weather and time, and giving grid spacing.

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4) Evaluating total cumulative insolation.

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  • Optimization Criteria

The outputs obtained are summarized in the excel sheet below, and top 3 recommended designs identified are marked.

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  • Criteria for selection

The obtained plot of Value by Floor Area vs Cumulative Total Insolation is as follows:

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According to multi-objective optimization, the best value for minimum of value by floor area and with maximum insolation would lie on the blue line shown above. Now, the 3 points chosen on this line is because they belong to the mid range.

Out of these 3 points, the optimum design chosen is:

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Reason: It had the lowest cost with the maximum slope on the curve between Value by Floor Area vs Cumulative Total Insolation. Maximum slope ensures minimum of value by floor area and with maximum insolation.

  • Implementation of Optimum design

1) The input of optimum design dimensions is given to panelize the building.

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2) The appearance of the panels is adjusted.

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  • Output
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