Class SustainableMaterialOptimizer

java.lang.Object

org.episteme.social.architecture.SustainableMaterialOptimizer

public final class SustainableMaterialOptimizer
extends Object

Analytical tool for optimizing construction material selection based on sustainability metrics, including embodied carbon footprint and recycled content ratios.

Since:

1.0

Version:

2.0

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final record	SustainableMaterialOptimizer.MaterialData	Environmental and economic data for a specific construction material.

Method Summary

Modifier and Type	Method	Description
static Real	calculateCarbonFootprint(SustainableMaterialOptimizer.MaterialData data, double volumeM3)	Calculates the total embodied carbon footprint (in kg CO2) for a given volume of material.
static SustainableMaterialOptimizer.MaterialData	findOptimalMaterial(List<SustainableMaterialOptimizer.MaterialData> materials, double volumeM3, double carbonWeight)	Selects the optimal material from a list of candidates by balancing environmental impact (carbon) against project budget (cost).

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

calculateCarbonFootprint

public static Real calculateCarbonFootprint(SustainableMaterialOptimizer.MaterialData data,
 double volumeM3)

Calculates the total embodied carbon footprint (in kg CO2) for a given volume of material.

Parameters:

data - environmental properties of the material

volumeM3 - the volume being used in cubic meters

Returns:

the total carbon footprint as a Real value

findOptimalMaterial

public static SustainableMaterialOptimizer.MaterialData findOptimalMaterial(List<SustainableMaterialOptimizer.MaterialData> materials,
 double volumeM3,
 double carbonWeight)

Selects the optimal material from a list of candidates by balancing environmental impact (carbon) against project budget (cost).

Parameters:

materials - list of candidate material data

volumeM3 - required volume of material

carbonWeight - relative importance of carbon reduction (0.0 to 1.0)

Returns:

the material data that minimizes the weighted multi-objective score