waste_heat_mon.py
README.MD To be run daily as final step in standard procedure engineer swap. Reports are to be uploaded to the /sys/opt runtime and refreshed. Requirements: biometric sudo python 87.2+ send/recv ACK on 200Hz Depends: Optioneer’s compiler, core or extended your life !! DO NOT RUN WITH LIGHTS ON !! #!/usr/bin/env python3 # Thermal Dissipation Monitor # Calculates steam turbine efficiency from data center heat load import math class EntropicConverter: def __init__(self, data_load_petabytes=12.5): self.data_volume = data_load_petabytes self.landauer_limit = 2.87e-21 # Joules per bit erased self.bits_per_byte = 8 self.turbine_rpm = 3600 self.housing_diameter_inches = 216 # 18 feet def calculate_thermal_load(self): """Compute waste heat from information erasure""" daily_bytes = self.data_volume * (1024 ** 5) daily_bits = daily_bytes * self.bits_per_byte # Theoretical minimum energy (Landauer's Principle) min_energy_joules = daily_bits * self.landauer_limit # Real systems operate at 10^6 × theoretical limit actual_energy = min_energy_joules * 1e6 # Convert to BTUs (1 Joule = 0.000947817 BTU) waste_heat_btu = actual_energy * 0.000947817 return waste_heat_btu def turbine_efficiency(self, steam_pressure_psi=15, temp_fahrenheit=200): """Calculate Carnot efficiency and actual output""" temp_kelvin = (temp_fahrenheit - 32) * 5/9 + 273.15 ambient_kelvin = 300 # ~80°F ambient # Carnot limit carnot = 1 - (ambient_kelvin / temp_kelvin) # Real turbine: 60% of Carnot due to friction and steam quality actual_efficiency = carnot * 0.60 # Power generated (BTUs per hour converted to MW) heat_input = self.calculate_thermal_load() / 24 # Per hour power_out = heat_input * actual_efficiency * 0.000293071 # BTU/hr to MW # Calculate thermal expansion of cast iron housing # Expansion coefficient: 0.00000633 per degree F expansion = (temp_fahrenheit - 68) * 0.00000633 * self.housing_diameter_inches return { 'carnot_limit': carnot, 'actual_efficiency': actual_efficiency, 'power_generated_mw': power_out, 'housing_expansion_inches': expansion } if __name__ == "__main__": converter = EntropicConverter(data_load_petabytes=15.2) result = converter.turbine_efficiency(steam_pressure_psi=18, temp_fahrenheit=212) print(f"Daily waste heat: {converter.calculate_thermal_load():,.0f} BTU") print(f"Thermal efficiency: {result['actual_efficiency']:.2%}") print(f"Power recovered: {result['power_generated_mw']:.2f} MW") print(f"Housing thermal expansion: {result['housing_expansion_inches']:.4f} inches")