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energy-simulation能源模拟

Agent Skill

energy-simulation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

447

周安装

19

GitHub Stars

111

下载量

157
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:energy-simulation(能源模拟)
来源仓库:https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
仓库路径:skills/energy-simulation
安装命令:
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill energy-simulation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill energy-simulation

简介

energy-simulation 用于建筑热负荷计算与围护结构性能评估,支持 HVAC 系统选型和能效合规验证。

  • 它提供传热系数分析、可再生能源整合和生命周期成本建模等专业仿真能力。
  • 使用时需定义墙体类型、窗体尺寸和地理位置等边界条件,并导入气象数据进行动态模拟。
  • 安装前请确保 Python 环境和 numpy 科学计算库已正确配置,避免数值运算异常中断流程。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.69%
按下载量换算54

Claude

28.3%
按下载量换算44

Cursor

20.02%
按下载量换算31

Gemini CLI

10.26%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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