carbon sci

sci.py

import streamlit as st

# App title
st.title('EcoOptimizer Carbon Footprint Calculator')

# Introduction
st.write('''
This tool calculates the Software Carbon Intensity (SCI) for EcoOptimizer, 
an AI-powered energy management system for commercial buildings by EcoTech Solutions.
''')

# Inputs with default values from the case study
st.header('Input the following details:')
E = st.number_input('Energy consumed per transaction (E in kWh):', value=0.05, format="%.2f")
I = st.number_input('Carbon intensity of the energy (I in kg CO₂e per kWh):', value=0.4, format="%.2f")
M = st.number_input('Embodied carbon of the hardware (M in kg CO₂e):', value=200.0, format="%.2f")
R = st.number_input('Functional unit (Transactions processed per 1,000):', value=1000, format="%d")

# Calculation Button
if st.button('Calculate Software Carbon Intensity (SCI)'):
    days_in_service_life = 365 * 3  # 3 years
    daily_E = E * (R / 1000)  # Daily energy consumption for R transactions
    daily_emissions = daily_E * I  # Daily operational emissions
    daily_embodied_emissions = M / days_in_service_life  # Daily share of embodied carbon
    SCI = daily_emissions + daily_embodied_emissions
    st.subheader('Calculated SCI:')
    st.write(f'{SCI:.3f} kg CO₂e per day for {R} transactions')
    st.write('This measurement provides insight into the carbon footprint of your software, aiding in identifying areas for improvement and reduction.')
else:
    st.write('Enter the values and click calculate.')