agentsclimarketplace

Energy simulation

Skill datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/5_DDC_Innovative/energy-simulation

221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code

Install
npx -y skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill energy-simulation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Building energy simulation and analysis for construction. Calculate heating/cooling loads, evaluate envelope performance, optimize HVAC sizing, and ensure energy code compliance.

SKILL.md

19.1 KB, as published. Nobody here has run it

Energy Simulation

Overview

This skill implements building energy simulation and analysis. Calculate thermal loads, evaluate building envelope performance, and optimize systems for energy efficiency and code compliance.

Capabilities:

  • Heating/cooling load calculations
  • Envelope thermal analysis
  • HVAC system sizing
  • Energy code compliance
  • Renewable energy integration
  • Life cycle cost analysis

Quick Start

from dataclasses import dataclass, field
from typing import List, Dict, Optional, Tuple
from enum import Enum
import numpy as np

class WallType(Enum):
    CONCRETE = "concrete"
    BRICK = "brick"
    WOOD_FRAME = "wood_frame"
    STEEL_FRAME = "steel_frame"
    CURTAIN_WALL = "curtain_wall"

@dataclass
class BuildingEnvelope:
    wall_area_m2: float
    wall_u_value: float  # W/m²K
    roof_area_m2: float
    roof_u_value: float
    floor_area_m2: float
    floor_u_value: float
    window_area_m2: float
    window_u_value: float
    window_shgc: float  # Solar Heat Gain Coefficient

@dataclass
class ClimateData:
    location: str
    heating_degree_days: float  # HDD base 18°C
    cooling_degree_days: float  # CDD base 18°C
    design_temp_winter: float
    design_temp_summer: float

def calculate_heat_loss(envelope: BuildingEnvelope, climate: ClimateData,
                       indoor_temp: float = 21) -> float:
    """Calculate design heat loss (W)"""
    delta_t = indoor_temp - climate.design_temp_winter

    # Transmission losses
    wall_loss = envelope.wall_area_m2 * envelope.wall_u_value * delta_t
    roof_loss = envelope.roof_area_m2 * envelope.roof_u_value * delta_t
    floor_loss = envelope.floor_area_m2 * envelope.floor_u_value * delta_t * 0.5  # Ground factor
    window_loss = envelope.window_area_m2 * envelope.window_u_value * delta_t

    total_loss = wall_loss + roof_loss + floor_loss + window_loss

    # Add infiltration estimate (simplified)
    volume = envelope.floor_area_m2 * 3  # Assume 3m height
    infiltration = volume * 0.5 * 0.33 * delta_t  # 0.5 ACH, 0.33 Wh/m³K

    return total_loss + infiltration

# Example
envelope = BuildingEnvelope(
    wall_area_m2=500, wall_u_value=0.35,
    roof_area_m2=200, roof_u_value=0.25,
    floor_area_m2=200, floor_u_value=0.30,
    window_area_m2=100, window_u_value=1.4, window_shgc=0.4
)

climate = ClimateData(
    location="Moscow",
    heating_degree_days=5000,
    cooling_degree_days=300,
    design_temp_winter=-25,
    design_temp_summer=30
)

heat_loss = calculate_heat_loss(envelope, climate)
print(f"Design heat loss: {heat_loss/1000:.1f} kW")

Comprehensive Energy Analysis

Building Thermal Model

from dataclasses import dataclass, field
from typing import List, Dict, Optional, Tuple
from enum import Enum
import numpy as np
from datetime import datetime

@dataclass
class MaterialLayer:
    name: str
    thickness_m: float
    conductivity: float  # W/mK
    density: float  # kg/m³
    specific_heat: float  # J/kgK

    @property
    def resistance(self) -> float:
        """Thermal resistance R (m²K/W)"""
        return self.thickness_m / self.conductivity if self.conductivity > 0 else 0

@dataclass
class WallAssembly:
    name: str
    layers: List[MaterialLayer]
    inside_surface_resistance: float = 0.13  # m²K/W
    outside_surface_resistance: float = 0.04

    @property
    def total_resistance(self) -> float:
        return (self.inside_surface_resistance +
                sum(layer.resistance for layer in self.layers) +
                self.outside_surface_resistance)

    @property
    def u_value(self) -> float:
        return 1 / self.total_resistance if self.total_resistance > 0 else 0

@dataclass
class Window:
    name: str
    u_value: float
    shgc: float
    visible_transmittance: float = 0.6
    frame_fraction: float = 0.2

@dataclass
class Zone:
    zone_id: str
    name: str
    floor_area_m2: float
    volume_m3: float
    occupancy: int
    lighting_power_density: float  # W/m²
    equipment_power_density: float  # W/m²
    ventilation_rate: float  # L/s per person
    setpoint_heating: float = 21
    setpoint_cooling: float = 24

@dataclass
class BuildingGeometry:
    zones: List[Zone]
    walls: List[Dict]  # {zone, orientation, area, assembly}
    windows: List[Dict]  # {zone, orientation, area, window_type}
    roofs: List[Dict]  # {zone, area, assembly}
    floors: List[Dict]  # {zone, area, assembly, is_ground}

class ThermalCalculator:
    """Calculate building thermal loads"""

    # Standard climate data (simplified)
    CLIMATE_DB = {
        'moscow': {
            'hdd': 5000, 'cdd': 300,
            'design_winter': -25, 'design_summer': 30,
            'latitude': 55.75
        },
        'new_york': {
            'hdd': 2500, 'cdd': 800,
            'design_winter': -12, 'design_summer': 33,
            'latitude': 40.71
        },
        'dubai': {
            'hdd': 50, 'cdd': 3000,
            'design_winter': 15, 'design_summer': 45,
            'latitude': 25.20
        }
    }

    def __init__(self, building: BuildingGeometry, location: str):
        self.building = building
        self.location = location.lower()
        self.climate = self.CLIMATE_DB.get(self.location, self.CLIMATE_DB['moscow'])

    def calculate_design_heating_load(self) -> Dict:
        """Calculate design heating load for each zone"""
        delta_t = 21 - self.climate['design_winter']
        results = {}

        for zone in self.building.zones:
            # Transmission losses
            wall_loss = 0
            window_loss = 0
            roof_loss = 0
            floor_loss = 0

            for wall in self.building.walls:
                if wall['zone'] == zone.zone_id:
                    u_value = wall['assembly'].u_value
                    wall_loss += wall['area'] * u_value * delta_t

            for window in self.building.windows:
                if window['zone'] == zone.zone_id:
                    window_loss += window['area'] * window['window_type'].u_value * delta_t

            for roof in self.building.roofs:
                if roof['zone'] == zone.zone_id:
                    u_value = roof['assembly'].u_value
                    roof_loss += roof['area'] * u_value * delta_t

            for floor in self.building.floors:
                if floor['zone'] == zone.zone_id:
                    u_value = floor['assembly'].u_value
                    factor = 0.5 if floor.get('is_ground', False) else 1.0
                    floor_loss += floor['area'] * u_value * delta_t * factor

            # Infiltration
            infiltration_loss = zone.volume_m3 * 0.5 * 0.33 * delta_t

            # Ventilation (if mechanical)
            ventilation_loss = zone.occupancy * zone.ventilation_rate * 1.2 * delta_t

            total = wall_loss + window_loss + roof_loss + floor_loss + infiltration_loss + ventilation_loss

            results[zone.zone_id] = {
                'zone_name': zone.name,
                'wall_loss_w': wall_loss,
                'window_loss_w': window_loss,
                'roof_loss_w': roof_loss,
                'floor_loss_w': floor_loss,
                'infiltration_w': infiltration_loss,
                'ventilation_w': ventilation_loss,
                'total_w': total,
                'total_kw': total / 1000,
                'w_per_m2': total / zone.floor_area_m2
            }

        return results

    def calculate_design_cooling_load(self) -> Dict:
        """Calculate design cooling load for each zone"""
        delta_t = self.climate['design_summer'] - 24
        results = {}

        for zone in self.building.zones:
            # Transmission gains
            transmission_gain = 0
            for wall in self.building.walls:
                if wall['zone'] == zone.zone_id:
                    u_value = wall['assembly'].u_value
                    # Apply sol-air temperature correction for orientation
                    sol_air_delta = delta_t + self._get_sol_air_correction(wall['orientation'])
                    transmission_gain += wall['area'] * u_value * sol_air_delta

            # Window solar gains
            solar_gain = 0
            for window in self.building.windows:
                if window['zone'] == zone.zone_id:
                    shgc = window['window_type'].shgc
                    irradiance = self._get_solar_irradiance(window['orientation'])
                    solar_gain += window['area'] * shgc * irradiance

            # Window conduction
            window_conduction = 0
            for window in self.building.windows:
                if window['zone'] == zone.zone_id:
                    window_conduction += window['area'] * window['window_type'].u_value * delta_t

            # Internal gains
            lighting_gain = zone.floor_area_m2 * zone.lighting_power_density
            equipment_gain = zone.floor_area_m2 * zone.equipment_power_density
            people_gain = zone.occupancy * 75  # W per person sensible

            # Ventilation
            ventilation_gain = zone.occupancy * zone.ventilation_rate * 1.2 * delta_t

            total = (transmission_gain + solar_gain + window_conduction +
                    lighting_gain + equipment_gain + people_gain + ventilation_gain)

            results[zone.zone_id] = {
                'zone_name': zone.name,
                'transmission_gain_w': transmission_gain,
                'solar_gain_w': solar_gain,
                'window_conduction_w': window_conduction,
                'lighting_gain_w': lighting_gain,
                'equipment_gain_w': equipment_gain,
                'people_gain_w': people_gain,
                'ventilation_gain_w': ventilation_gain,
                'total_w': total,
                'total_kw': total / 1000,
                'w_per_m2': total / zone.floor_area_m2
            }

        return results

    def _get_sol_air_correction(self, orientation: str) -> float:
        """Get sol-air temperature correction by orientation"""
        corrections = {
            'north': 0, 'south': 8, 'east': 4, 'west': 6,
            'northeast': 2, 'northwest': 3, 'southeast': 6, 'southwest': 7
        }
        return corrections.get(orientation.lower(), 3)

    def _get_solar_irradiance(self, orientation: str) -> float:
        """Get design solar irradiance W/m² by orientation"""
        # Simplified peak values
        irradiance = {
            'north': 150, 'south': 450, 'east': 350, 'west': 350,
            'northeast': 200, 'northwest': 200, 'southeast': 400, 'southwest': 400
        }
        return irradiance.get(orientation.lower(), 300)

HVAC System Sizing

class HVACSizer:
    """Size HVAC systems based on loads"""

    def __init__(self, calculator: ThermalCalculator):
        self.calculator = calculator

    def size_heating_system(self, safety_factor: float = 1.15) -> Dict:
        """Size heating system"""
        heating_loads = self.calculator.calculate_design_heating_load()

        total_load = sum(z['total_kw'] for z in heating_loads.values())
        sized_capacity = total_load * safety_factor

        # Recommend system type
        if sized_capacity < 15:
            system_type = "Split system heat pump"
        elif sized_capacity < 50:
            system_type = "Packaged rooftop unit"
        elif sized_capacity < 200:
            system_type = "Central boiler with radiators"
        else:
            system_type = "Central plant with multiple boilers"

        return {
            'total_load_kw': total_load,
            'sized_capacity_kw': sized_capacity,
            'safety_factor': safety_factor,
            'recommended_system': system_type,
            'zone_loads': heating_loads
        }

    def size_cooling_system(self, safety_factor: float = 1.1) -> Dict:
        """Size cooling system"""
        cooling_loads = self.calculator.calculate_design_cooling_load()

        total_load = sum(z['total_kw'] for z in cooling_loads.values())
        sized_capacity = total_load * safety_factor

        # Convert to tons
        capacity_tons = sized_capacity / 3.517

        # Recommend system type
        if capacity_tons < 5:
            system_type = "Split system DX"
        elif capacity_tons < 20:
            system_type = "VRF system"
        elif capacity_tons < 100:
            system_type = "Chilled water with AHUs"
        else:
            system_type = "Central chiller plant"

        return {
            'total_load_kw': total_load,
            'total_load_tons': capacity_tons,
            'sized_capacity_kw': sized_capacity,
            'sized_capacity_tons': capacity_tons * safety_factor,
            'safety_factor': safety_factor,
            'recommended_system': system_type,
            'zone_loads': cooling_loads
        }

    def estimate_annual_energy(self) -> Dict:
        """Estimate annual energy consumption"""
        climate = self.calculator.climate

        heating_loads = self.calculator.calculate_design_heating_load()
        cooling_loads = self.calculator.calculate_design_cooling_load()

        total_heating_load = sum(z['total_kw'] for z in heating_loads.values())
        total_cooling_load = sum(z['total_kw'] for z in cooling_loads.values())

        # Simplified degree-day calculation
        # Heating energy = load * HDD * 24 / delta_t_design
        delta_t_heating = 21 - climate['design_winter']
        heating_kwh = total_heating_load * climate['hdd'] * 24 / delta_t_heating / 1000

        delta_t_cooling = climate['design_summer'] - 24
        cooling_kwh = total_cooling_load * climate['cdd'] * 24 / delta_t_cooling / 1000 if delta_t_cooling > 0 else 0

        # Apply efficiency factors
        heating_fuel_efficiency = 0.9  # Gas boiler
        cooling_cop = 3.5  # Chiller COP

        heating_consumption = heating_kwh / heating_fuel_efficiency
        cooling_consumption = cooling_kwh / cooling_cop

        return {
            'heating_load_kw': total_heating_load,
            'cooling_load_kw': total_cooling_load,
            'annual_heating_kwh': heating_kwh,
            'annual_cooling_kwh': cooling_kwh,
            'heating_fuel_kwh': heating_consumption,
            'cooling_electricity_kwh': cooling_consumption,
            'total_hvac_energy_kwh': heating_consumption + cooling_consumption
        }

Energy Code Compliance

@dataclass
class EnergyCodeRequirements:
    code_name: str
    climate_zone: str
    wall_u_max: float
    roof_u_max: float
    floor_u_max: float
    window_u_max: float
    window_shgc_max: float
    lighting_lpd_max: float  # W/m²

class ComplianceChecker:
    """Check energy code compliance"""

    CODES = {
        'ASHRAE_90.1_2019_4A': EnergyCodeRequirements(
            code_name="ASHRAE 90.1-2019",
            climate_zone="4A",
            wall_u_max=0.45,
            roof_u_max=0.27,
            floor_u_max=0.32,
            window_u_max=2.0,
            window_shgc_max=0.40,
            lighting_lpd_max=9.0
        ),
        'IECC_2021_5A': EnergyCodeRequirements(
            code_name="IECC 2021",
            climate_zone="5A",
            wall_u_max=0.35,
            roof_u_max=0.20,
            floor_u_max=0.30,
            window_u_max=1.7,
            window_shgc_max=0.40,
            lighting_lpd_max=8.5
        )
    }

    def __init__(self, code_key: str):
        self.requirements = self.CODES.get(code_key)
        if not self.requirements:
            raise ValueError(f"Unknown code: {code_key}")

    def check_envelope(self, building: BuildingGeometry) -> Dict:
        """Check envelope compliance"""
        results = {
            'code': self.requirements.code_name,
            'climate_zone': self.requirements.climate_zone,
            'compliant': True,
            'issues': []
        }

        # Check walls
        for wall in building.walls:
            u_value = wall['assembly'].u_value
            if u_value > self.requirements.wall_u_max:
                results['compliant'] = False
                results['issues'].append({
                    'element': f"Wall {wall['zone']} {wall['orientation']}",
                    'actual': u_value,
                    'required': self.requirements.wall_u_max,
                    'issue': 'Exceeds maximum U-value'
                })

        # Check windows
        for window in building.windows:
            u_value = window['window_type'].u_value
            shgc = window['window_type'].shgc

            if u_value > self.requirements.window_u_max:
                results['compliant'] = False
                results['issues'].append({
                    'element': f"Window {window['zone']} {window['orientation']}",
                    'actual': u_value,
                    'required': self.requirements.window_u_max,
                    'issue': 'Exceeds maximum U-value'
                })

            if shgc > self.requirements.window_shgc_max:
                results['compliant'] = False
                results['issues'].append({
                    'element': f"Window {window['zone']} {window['orientation']}",
                    'actual': shgc,
                    'required': self.requirements.window_shgc_max,
                    'issue': 'Exceeds maximum SHGC'
                })

        # Check roof
        for roof in building.roofs:
            u_value = roof['assembly'].u_value
            if u_value > self.requirements.roof_u_max:
                results['compliant'] = False
                results['issues'].append({
                    'element': f"Roof {roof['zone']}",
                    'actual': u_value,
                    'required': self.requirements.roof_u_max,
                    'issue': 'Exceeds maximum U-value'
                })

        return results

    def check_lighting(self, zones: List[Zone]) -> Dict:
        """Check lighting power density compliance"""
        results = {
            'compliant': True,
            'issues': []
        }

        for zone in zones:
            if zone.lighting_power_density > self.requirements.lighting_lpd_max:
                results['compliant'] = False
                results['issues'].append({
                    'zone': zone.name,
                    'actual_lpd': zone.lighting_power_density,
                    'required_max': self.requirements.lighting_lpd_max
                })

        return results

Quick Reference

ComponentGood U-ValueCode Maximum
Wall< 0.25 W/m²K0.35-0.45
Roof< 0.15 W/m²K0.20-0.27
Floor< 0.20 W/m²K0.25-0.32
Window< 1.2 W/m²K1.7-2.0

Resources

  • ASHRAE 90.1: Energy standard for buildings
  • IECC: International Energy Conservation Code
  • EnergyPlus: DOE building simulation
  • DDC Website: https://datadrivenconstruction.io

Next Steps

  • See co2-estimation for carbon analysis
  • See cost-prediction for energy cost modeling
  • See bim-validation-pipeline for model integration

Gives 0 of the 12 instructions most performance cost skills give

Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-06

  • keep skill files under 500 linesin 82 of 803, across 17 files
  • use imperative form in instructionsin 81 of 803, across 10 files
  • draft assertions while test runs are in progressin 75 of 803, across 9 files
  • create two to three realistic test promptsin 74 of 803, across 8 files
  • write skill descriptions to be pushyin 72 of 803, across 7 files
  • save test cases to evals jsonin 72 of 803, across 6 files
  • ask questions about edge cases and input formatsin 71 of 803, across 6 files
  • save timing data immediately when runs completein 70 of 803, across 5 files
  • include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
  • launch all test runs in a single turnin 69 of 803, across 3 files
  • capture intent before writing a skillin 67 of 803, across 1 file
  • import directly instead of barrel filesin 52 of 803, across 15 files

Said here and by no other author read

  • calculate thermal loads
  • evaluate building envelope performance
  • optimize systems for energy efficiency
  • ensure energy code compliance
  • size HVAC systems based on loads

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.