Carbon Footprint Measurement and Reporting

Module: Sustainable Tech | Difficulty: Premium

Carbon Intensity

Scope 1, 2, 3 Emissions

Comparison

Python Implementation

import numpy as np

class EmissionTracker:
    def __init__(self):
        self.factors = {'coal': 1.0, 'gas': 0.45, 'solar': 0.03, 'wind': 0.02, 'hydro': 0.01}

    def grid_carbon_intensity(self, generation_mix):
        total = sum(generation_mix.values())
        return sum(gen * self.factors[fuel] for fuel, gen in generation_mix.items()) / total

    def reduction_pathway(self, current, target_year, rate):
        years = target_year - 2024
        pathway = np.zeros(years + 1)
        pathway[0] = current
        for i in range(1, years + 1):
            pathway[i] = pathway[i-1] * (1 - rate)
        return pathway

    def science_based_target(self, scope1_2, scope3, warming=1.5):
        rates = {1.5: 0.42, 2.0: 0.25}
        r = rates[warming]
        return {'scope1_2': scope1_2 * r, 'scope3': scope3 * r * 0.6, 'year': 2030}

Research Insight: Real-time carbon intensity tracking enables consumers to reduce carbon footprints by 10-20%.