{ "schemaVersion": "1.0", "item": { "slug": "lifecycle-carbon-calculator", "name": "Lifecycle Carbon Calculator", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/datadrivenconstruction/lifecycle-carbon-calculator", "canonicalUrl": "https://clawhub.ai/datadrivenconstruction/lifecycle-carbon-calculator", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/lifecycle-carbon-calculator", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=lifecycle-carbon-calculator", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/lifecycle-carbon-calculator" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/lifecycle-carbon-calculator", "agentPageUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent", "manifestUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent.json", "briefUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Overview", "body": "Calculate embodied carbon (EC) and lifecycle carbon emissions for construction materials, assemblies, and projects. Support sustainable design decisions and carbon reduction targets." }, { "title": "Business Case", "body": "Carbon calculation supports:\n\nRegulatory Compliance: Meet carbon reporting requirements\nGreen Certifications: LEED, BREEAM, Living Building Challenge\nDesign Optimization: Choose lower-carbon alternatives\nSustainability Goals: Track progress toward net-zero" }, { "title": "Technical Implementation", "body": "from dataclasses import dataclass, field\nfrom typing import List, Dict, Any, Optional\nfrom enum import Enum\nimport pandas as pd\n\nclass LifecycleStage(Enum):\n A1_A3 = \"Product Stage (A1-A3)\" # Raw materials, transport, manufacturing\n A4 = \"Transport to Site (A4)\"\n A5 = \"Construction (A5)\"\n B1_B7 = \"Use Stage (B1-B7)\" # Maintenance, repair, replacement\n C1_C4 = \"End of Life (C1-C4)\" # Demolition, transport, disposal\n D = \"Beyond Lifecycle (D)\" # Reuse, recycling potential\n\n@dataclass\nclass MaterialCarbon:\n material_id: str\n name: str\n category: str\n unit: str\n carbon_a1_a3: float # kgCO2e per unit\n carbon_a4: float\n carbon_a5: float\n carbon_b: float\n carbon_c: float\n carbon_d: float # Usually negative (credit)\n density: float # kg/m³ if applicable\n source: str\n epd_url: str = \"\"\n\n@dataclass\nclass AssemblyCarbon:\n assembly_id: str\n name: str\n materials: List[Dict[str, Any]]\n total_carbon: float\n carbon_by_stage: Dict[str, float]\n\n@dataclass\nclass ProjectCarbon:\n project_id: str\n name: str\n gross_area: float\n assemblies: List[AssemblyCarbon]\n total_embodied_carbon: float\n carbon_per_area: float\n carbon_by_stage: Dict[str, float]\n carbon_by_category: Dict[str, float]\n benchmark_comparison: Dict[str, Any]\n\nclass LifecycleCarbonCalculator:\n \"\"\"Calculate lifecycle carbon for construction.\"\"\"\n\n # Sample material carbon data (kgCO2e per unit)\n DEFAULT_MATERIALS = {\n 'concrete_30mpa': MaterialCarbon(\n material_id='C30', name='Concrete 30MPa', category='Concrete',\n unit='m³', carbon_a1_a3=300, carbon_a4=5, carbon_a5=2,\n carbon_b=0, carbon_c=10, carbon_d=-20, density=2400,\n source='EPD Database'\n ),\n 'concrete_40mpa': MaterialCarbon(\n material_id='C40', name='Concrete 40MPa', category='Concrete',\n unit='m³', carbon_a1_a3=350, carbon_a4=5, carbon_a5=2,\n carbon_b=0, carbon_c=10, carbon_d=-20, density=2400,\n source='EPD Database'\n ),\n 'steel_rebar': MaterialCarbon(\n material_id='REBAR', name='Steel Reinforcing Bar', category='Steel',\n unit='kg', carbon_a1_a3=1.99, carbon_a4=0.05, carbon_a5=0.02,\n carbon_b=0, carbon_c=0.05, carbon_d=-0.5, density=7850,\n source='WorldSteel EPD'\n ),\n 'steel_structural': MaterialCarbon(\n material_id='STEEL', name='Structural Steel', category='Steel',\n unit='kg', carbon_a1_a3=1.55, carbon_a4=0.05, carbon_a5=0.03,\n carbon_b=0, carbon_c=0.05, carbon_d=-0.8, density=7850,\n source='AISC EPD'\n ),\n 'timber_clt': MaterialCarbon(\n material_id='CLT', name='Cross-Laminated Timber', category='Timber',\n unit='m³', carbon_a1_a3=-500, carbon_a4=10, carbon_a5=5,\n carbon_b=0, carbon_c=50, carbon_d=-100, density=500,\n source='AWC EPD'\n ),\n 'gypsum_board': MaterialCarbon(\n material_id='GYP', name='Gypsum Board 12.5mm', category='Finishes',\n unit='m²', carbon_a1_a3=3.2, carbon_a4=0.2, carbon_a5=0.1,\n carbon_b=0, carbon_c=0.3, carbon_d=-0.1, density=10,\n source='EUROGYPSUM EPD'\n ),\n 'insulation_mineral': MaterialCarbon(\n material_id='INS_MW', name='Mineral Wool Insulation', category='Insulation',\n unit='m³', carbon_a1_a3=45, carbon_a4=2, carbon_a5=1,\n carbon_b=0, carbon_c=5, carbon_d=-2, density=40,\n source='EURIMA EPD'\n ),\n 'glass_double': MaterialCarbon(\n material_id='GLASS', name='Double Glazed Unit', category='Glazing',\n unit='m²', carbon_a1_a3=35, carbon_a4=1, carbon_a5=0.5,\n carbon_b=0, carbon_c=2, carbon_d=-5, density=25,\n source='Glass for Europe EPD'\n ),\n 'aluminum': MaterialCarbon(\n material_id='ALU', name='Aluminum Profile', category='Metals',\n unit='kg', carbon_a1_a3=8.0, carbon_a4=0.1, carbon_a5=0.05,\n carbon_b=0, carbon_c=0.1, carbon_d=-4.0, density=2700,\n source='EAA EPD'\n ),\n }\n\n # Building type benchmarks (kgCO2e/m²)\n BENCHMARKS = {\n 'Office': {'typical': 500, 'good': 350, 'best': 200},\n 'Residential': {'typical': 400, 'good': 280, 'best': 150},\n 'Retail': {'typical': 450, 'good': 320, 'best': 180},\n 'Industrial': {'typical': 350, 'good': 250, 'best': 150},\n 'Healthcare': {'typical': 700, 'good': 500, 'best': 350},\n }\n\n def __init__(self):\n self.materials: Dict[str, MaterialCarbon] = dict(self.DEFAULT_MATERIALS)\n self.assemblies: Dict[str, AssemblyCarbon] = {}\n\n def add_material(self, material: MaterialCarbon):\n \"\"\"Add or update a material.\"\"\"\n self.materials[material.material_id] = material\n\n def calculate_material_carbon(self, material_id: str, quantity: float,\n stages: List[LifecycleStage] = None) -> Dict:\n \"\"\"Calculate carbon for a material quantity.\"\"\"\n if material_id not in self.materials:\n raise ValueError(f\"Unknown material: {material_id}\")\n\n material = self.materials[material_id]\n\n if stages is None:\n stages = list(LifecycleStage)\n\n carbon_by_stage = {}\n total = 0\n\n for stage in stages:\n if stage == LifecycleStage.A1_A3:\n carbon = material.carbon_a1_a3 * quantity\n elif stage == LifecycleStage.A4:\n carbon = material.carbon_a4 * quantity\n elif stage == LifecycleStage.A5:\n carbon = material.carbon_a5 * quantity\n elif stage == LifecycleStage.B1_B7:\n carbon = material.carbon_b * quantity\n elif stage == LifecycleStage.C1_C4:\n carbon = material.carbon_c * quantity\n elif stage == LifecycleStage.D:\n carbon = material.carbon_d * quantity\n else:\n carbon = 0\n\n carbon_by_stage[stage.value] = carbon\n total += carbon\n\n return {\n 'material_id': material_id,\n 'material_name': material.name,\n 'quantity': quantity,\n 'unit': material.unit,\n 'total_carbon': total,\n 'carbon_by_stage': carbon_by_stage\n }\n\n def create_assembly(self, assembly_id: str, name: str,\n components: List[Dict]) -> AssemblyCarbon:\n \"\"\"Create an assembly from multiple materials.\"\"\"\n total_carbon = 0\n carbon_by_stage = {stage.value: 0 for stage in LifecycleStage}\n material_details = []\n\n for comp in components:\n material_id = comp['material_id']\n quantity = comp['quantity']\n\n result = self.calculate_material_carbon(material_id, quantity)\n total_carbon += result['total_carbon']\n\n for stage, carbon in result['carbon_by_stage'].items():\n carbon_by_stage[stage] += carbon\n\n material_details.append({\n 'material': result['material_name'],\n 'quantity': quantity,\n 'unit': result['unit'],\n 'carbon': result['total_carbon']\n })\n\n assembly = AssemblyCarbon(\n assembly_id=assembly_id,\n name=name,\n materials=material_details,\n total_carbon=total_carbon,\n carbon_by_stage=carbon_by_stage\n )\n\n self.assemblies[assembly_id] = assembly\n return assembly\n\n def calculate_project_carbon(self, project_id: str, project_name: str,\n gross_area: float, building_type: str,\n quantities: List[Dict]) -> ProjectCarbon:\n \"\"\"Calculate total project carbon.\"\"\"\n assemblies = []\n total_carbon = 0\n carbon_by_stage = {stage.value: 0 for stage in LifecycleStage}\n carbon_by_category = {}\n\n for qty in quantities:\n if 'assembly_id' in qty:\n # Use predefined assembly\n if qty['assembly_id'] in self.assemblies:\n assembly = self.assemblies[qty['assembly_id']]\n multiplier = qty.get('multiplier', 1)\n scaled_carbon = assembly.total_carbon * multiplier\n\n assemblies.append(AssemblyCarbon(\n assembly_id=assembly.assembly_id,\n name=assembly.name,\n materials=assembly.materials,\n total_carbon=scaled_carbon,\n carbon_by_stage={k: v * multiplier for k, v in assembly.carbon_by_stage.items()}\n ))\n total_carbon += scaled_carbon\n\n elif 'material_id' in qty:\n # Direct material\n result = self.calculate_material_carbon(\n qty['material_id'], qty['quantity']\n )\n total_carbon += result['total_carbon']\n\n for stage, carbon in result['carbon_by_stage'].items():\n carbon_by_stage[stage] += carbon\n\n # Track by category\n material = self.materials[qty['material_id']]\n cat = material.category\n carbon_by_category[cat] = carbon_by_category.get(cat, 0) + result['total_carbon']\n\n # Calculate metrics\n carbon_per_area = total_carbon / gross_area if gross_area > 0 else 0\n\n # Compare to benchmarks\n benchmark = self.BENCHMARKS.get(building_type, self.BENCHMARKS['Office'])\n benchmark_comparison = {\n 'carbon_per_area': carbon_per_area,\n 'typical_benchmark': benchmark['typical'],\n 'good_benchmark': benchmark['good'],\n 'best_benchmark': benchmark['best'],\n 'vs_typical': (carbon_per_area / benchmark['typical'] - 1) * 100,\n 'rating': self._get_rating(carbon_per_area, benchmark)\n }\n\n return ProjectCarbon(\n project_id=project_id,\n name=project_name,\n gross_area=gross_area,\n assemblies=assemblies,\n total_embodied_carbon=total_carbon,\n carbon_per_area=carbon_per_area,\n carbon_by_stage=carbon_by_stage,\n carbon_by_category=carbon_by_category,\n benchmark_comparison=benchmark_comparison\n )\n\n def _get_rating(self, carbon: float, benchmark: Dict) -> str:\n \"\"\"Get rating based on benchmark comparison.\"\"\"\n if carbon <= benchmark['best']:\n return 'A (Best Practice)'\n elif carbon <= benchmark['good']:\n return 'B (Good Practice)'\n elif carbon <= benchmark['typical']:\n return 'C (Typical)'\n else:\n return 'D (Above Typical)'\n\n def compare_alternatives(self, base_project: ProjectCarbon,\n alternatives: List[Dict]) -> pd.DataFrame:\n \"\"\"Compare carbon of design alternatives.\"\"\"\n comparisons = [{\n 'Option': 'Base Design',\n 'Total Carbon (tCO2e)': base_project.total_embodied_carbon / 1000,\n 'Carbon/m² (kgCO2e)': base_project.carbon_per_area,\n 'vs Base': '0%',\n 'Rating': base_project.benchmark_comparison['rating']\n }]\n\n for alt in alternatives:\n project = self.calculate_project_carbon(\n alt['id'], alt['name'], alt['gross_area'],\n alt.get('building_type', 'Office'), alt['quantities']\n )\n\n change = (project.total_embodied_carbon - base_project.total_embodied_carbon) / base_project.total_embodied_carbon * 100\n\n comparisons.append({\n 'Option': alt['name'],\n 'Total Carbon (tCO2e)': project.total_embodied_carbon / 1000,\n 'Carbon/m² (kgCO2e)': project.carbon_per_area,\n 'vs Base': f'{change:+.1f}%',\n 'Rating': project.benchmark_comparison['rating']\n })\n\n return pd.DataFrame(comparisons)\n\n def suggest_reductions(self, project: ProjectCarbon) -> List[Dict]:\n \"\"\"Suggest carbon reduction opportunities.\"\"\"\n suggestions = []\n\n # Analyze by category\n if 'Concrete' in project.carbon_by_category:\n concrete_carbon = project.carbon_by_category['Concrete']\n if concrete_carbon > project.total_embodied_carbon * 0.3:\n suggestions.append({\n 'category': 'Concrete',\n 'current_carbon': concrete_carbon,\n 'suggestion': 'Consider low-carbon concrete (GGBS/PFA replacement)',\n 'potential_reduction': '20-40%',\n 'impact': concrete_carbon * 0.3\n })\n\n if 'Steel' in project.carbon_by_category:\n steel_carbon = project.carbon_by_category['Steel']\n if steel_carbon > project.total_embodied_carbon * 0.2:\n suggestions.append({\n 'category': 'Steel',\n 'current_carbon': steel_carbon,\n 'suggestion': 'Specify high recycled content steel',\n 'potential_reduction': '10-25%',\n 'impact': steel_carbon * 0.2\n })\n\n # Benchmark-based suggestions\n if project.benchmark_comparison['vs_typical'] > 0:\n suggestions.append({\n 'category': 'Overall',\n 'current_carbon': project.total_embodied_carbon,\n 'suggestion': 'Project exceeds typical benchmark - review high-carbon elements',\n 'potential_reduction': f\"{abs(project.benchmark_comparison['vs_typical']):.0f}%\",\n 'impact': project.total_embodied_carbon * abs(project.benchmark_comparison['vs_typical']) / 100\n })\n\n return sorted(suggestions, key=lambda x: -x['impact'])\n\n def generate_report(self, project: ProjectCarbon) -> str:\n \"\"\"Generate carbon assessment report.\"\"\"\n lines = [\"# Embodied Carbon Assessment Report\", \"\"]\n lines.append(f\"**Project:** {project.name}\")\n lines.append(f\"**Gross Area:** {project.gross_area:,.0f} m²\")\n lines.append(f\"**Assessment Date:** {pd.Timestamp.now().strftime('%Y-%m-%d')}\")\n lines.append(\"\")\n\n # Summary\n lines.append(\"## Carbon Summary\")\n lines.append(f\"- **Total Embodied Carbon:** {project.total_embodied_carbon/1000:,.0f} tCO2e\")\n lines.append(f\"- **Carbon Intensity:** {project.carbon_per_area:,.0f} kgCO2e/m²\")\n lines.append(f\"- **Rating:** {project.benchmark_comparison['rating']}\")\n lines.append(\"\")\n\n # By lifecycle stage\n lines.append(\"## Carbon by Lifecycle Stage\")\n for stage, carbon in project.carbon_by_stage.items():\n if carbon != 0:\n pct = carbon / project.total_embodied_carbon * 100\n lines.append(f\"- {stage}: {carbon/1000:,.1f} tCO2e ({pct:.1f}%)\")\n lines.append(\"\")\n\n # By category\n lines.append(\"## Carbon by Material Category\")\n for cat, carbon in sorted(project.carbon_by_category.items(), key=lambda x: -x[1]):\n pct = carbon / project.total_embodied_carbon * 100\n lines.append(f\"- {cat}: {carbon/1000:,.1f} tCO2e ({pct:.1f}%)\")\n lines.append(\"\")\n\n # Benchmark\n lines.append(\"## Benchmark Comparison\")\n bc = project.benchmark_comparison\n lines.append(f\"- Project: {bc['carbon_per_area']:.0f} kgCO2e/m²\")\n lines.append(f\"- Typical: {bc['typical_benchmark']} kgCO2e/m²\")\n lines.append(f\"- Good Practice: {bc['good_benchmark']} kgCO2e/m²\")\n lines.append(f\"- Best Practice: {bc['best_benchmark']} kgCO2e/m²\")\n lines.append(\"\")\n\n # Reduction opportunities\n suggestions = self.suggest_reductions(project)\n if suggestions:\n lines.append(\"## Reduction Opportunities\")\n for sug in suggestions[:5]:\n lines.append(f\"\\n### {sug['category']}\")\n lines.append(f\"- **Suggestion:** {sug['suggestion']}\")\n lines.append(f\"- **Potential Reduction:** {sug['potential_reduction']}\")\n lines.append(f\"- **Impact:** {sug['impact']/1000:,.1f} tCO2e\")\n\n return \"\\n\".join(lines)" }, { "title": "Quick Start", "body": "# Initialize calculator\ncalc = LifecycleCarbonCalculator()\n\n# Calculate project carbon\nproject = calc.calculate_project_carbon(\n project_id=\"PROJ-001\",\n project_name=\"Office Building\",\n gross_area=5000,\n building_type=\"Office\",\n quantities=[\n {'material_id': 'concrete_40mpa', 'quantity': 1500}, # m³\n {'material_id': 'steel_rebar', 'quantity': 150000}, # kg\n {'material_id': 'steel_structural', 'quantity': 200000},\n {'material_id': 'gypsum_board', 'quantity': 8000}, # m²\n {'material_id': 'glass_double', 'quantity': 1200}, # m²\n ]\n)\n\nprint(f\"Total Carbon: {project.total_embodied_carbon/1000:,.0f} tCO2e\")\nprint(f\"Carbon Intensity: {project.carbon_per_area:,.0f} kgCO2e/m²\")\nprint(f\"Rating: {project.benchmark_comparison['rating']}\")\n\n# Get reduction suggestions\nsuggestions = calc.suggest_reductions(project)\nfor sug in suggestions:\n print(f\"- {sug['category']}: {sug['suggestion']}\")\n\n# Generate full report\nreport = calc.generate_report(project)\nprint(report)" }, { "title": "Dependencies", "body": "pip install pandas" } ], "body": "Lifecycle Carbon Calculator for Construction\nOverview\n\nCalculate embodied carbon (EC) and lifecycle carbon emissions for construction materials, assemblies, and projects. Support sustainable design decisions and carbon reduction targets.\n\nBusiness Case\n\nCarbon calculation supports:\n\nRegulatory Compliance: Meet carbon reporting requirements\nGreen Certifications: LEED, BREEAM, Living Building Challenge\nDesign Optimization: Choose lower-carbon alternatives\nSustainability Goals: Track progress toward net-zero\nTechnical Implementation\nfrom dataclasses import dataclass, field\nfrom typing import List, Dict, Any, Optional\nfrom enum import Enum\nimport pandas as pd\n\nclass LifecycleStage(Enum):\n A1_A3 = \"Product Stage (A1-A3)\" # Raw materials, transport, manufacturing\n A4 = \"Transport to Site (A4)\"\n A5 = \"Construction (A5)\"\n B1_B7 = \"Use Stage (B1-B7)\" # Maintenance, repair, replacement\n C1_C4 = \"End of Life (C1-C4)\" # Demolition, transport, disposal\n D = \"Beyond Lifecycle (D)\" # Reuse, recycling potential\n\n@dataclass\nclass MaterialCarbon:\n material_id: str\n name: str\n category: str\n unit: str\n carbon_a1_a3: float # kgCO2e per unit\n carbon_a4: float\n carbon_a5: float\n carbon_b: float\n carbon_c: float\n carbon_d: float # Usually negative (credit)\n density: float # kg/m³ if applicable\n source: str\n epd_url: str = \"\"\n\n@dataclass\nclass AssemblyCarbon:\n assembly_id: str\n name: str\n materials: List[Dict[str, Any]]\n total_carbon: float\n carbon_by_stage: Dict[str, float]\n\n@dataclass\nclass ProjectCarbon:\n project_id: str\n name: str\n gross_area: float\n assemblies: List[AssemblyCarbon]\n total_embodied_carbon: float\n carbon_per_area: float\n carbon_by_stage: Dict[str, float]\n carbon_by_category: Dict[str, float]\n benchmark_comparison: Dict[str, Any]\n\nclass LifecycleCarbonCalculator:\n \"\"\"Calculate lifecycle carbon for construction.\"\"\"\n\n # Sample material carbon data (kgCO2e per unit)\n DEFAULT_MATERIALS = {\n 'concrete_30mpa': MaterialCarbon(\n material_id='C30', name='Concrete 30MPa', category='Concrete',\n unit='m³', carbon_a1_a3=300, carbon_a4=5, carbon_a5=2,\n carbon_b=0, carbon_c=10, carbon_d=-20, density=2400,\n source='EPD Database'\n ),\n 'concrete_40mpa': MaterialCarbon(\n material_id='C40', name='Concrete 40MPa', category='Concrete',\n unit='m³', carbon_a1_a3=350, carbon_a4=5, carbon_a5=2,\n carbon_b=0, carbon_c=10, carbon_d=-20, density=2400,\n source='EPD Database'\n ),\n 'steel_rebar': MaterialCarbon(\n material_id='REBAR', name='Steel Reinforcing Bar', category='Steel',\n unit='kg', carbon_a1_a3=1.99, carbon_a4=0.05, carbon_a5=0.02,\n carbon_b=0, carbon_c=0.05, carbon_d=-0.5, density=7850,\n source='WorldSteel EPD'\n ),\n 'steel_structural': MaterialCarbon(\n material_id='STEEL', name='Structural Steel', category='Steel',\n unit='kg', carbon_a1_a3=1.55, carbon_a4=0.05, carbon_a5=0.03,\n carbon_b=0, carbon_c=0.05, carbon_d=-0.8, density=7850,\n source='AISC EPD'\n ),\n 'timber_clt': MaterialCarbon(\n material_id='CLT', name='Cross-Laminated Timber', category='Timber',\n unit='m³', carbon_a1_a3=-500, carbon_a4=10, carbon_a5=5,\n carbon_b=0, carbon_c=50, carbon_d=-100, density=500,\n source='AWC EPD'\n ),\n 'gypsum_board': MaterialCarbon(\n material_id='GYP', name='Gypsum Board 12.5mm', category='Finishes',\n unit='m²', carbon_a1_a3=3.2, carbon_a4=0.2, carbon_a5=0.1,\n carbon_b=0, carbon_c=0.3, carbon_d=-0.1, density=10,\n source='EUROGYPSUM EPD'\n ),\n 'insulation_mineral': MaterialCarbon(\n material_id='INS_MW', name='Mineral Wool Insulation', category='Insulation',\n unit='m³', carbon_a1_a3=45, carbon_a4=2, carbon_a5=1,\n carbon_b=0, carbon_c=5, carbon_d=-2, density=40,\n source='EURIMA EPD'\n ),\n 'glass_double': MaterialCarbon(\n material_id='GLASS', name='Double Glazed Unit', category='Glazing',\n unit='m²', carbon_a1_a3=35, carbon_a4=1, carbon_a5=0.5,\n carbon_b=0, carbon_c=2, carbon_d=-5, density=25,\n source='Glass for Europe EPD'\n ),\n 'aluminum': MaterialCarbon(\n material_id='ALU', name='Aluminum Profile', category='Metals',\n unit='kg', carbon_a1_a3=8.0, carbon_a4=0.1, carbon_a5=0.05,\n carbon_b=0, carbon_c=0.1, carbon_d=-4.0, density=2700,\n source='EAA EPD'\n ),\n }\n\n # Building type benchmarks (kgCO2e/m²)\n BENCHMARKS = {\n 'Office': {'typical': 500, 'good': 350, 'best': 200},\n 'Residential': {'typical': 400, 'good': 280, 'best': 150},\n 'Retail': {'typical': 450, 'good': 320, 'best': 180},\n 'Industrial': {'typical': 350, 'good': 250, 'best': 150},\n 'Healthcare': {'typical': 700, 'good': 500, 'best': 350},\n }\n\n def __init__(self):\n self.materials: Dict[str, MaterialCarbon] = dict(self.DEFAULT_MATERIALS)\n self.assemblies: Dict[str, AssemblyCarbon] = {}\n\n def add_material(self, material: MaterialCarbon):\n \"\"\"Add or update a material.\"\"\"\n self.materials[material.material_id] = material\n\n def calculate_material_carbon(self, material_id: str, quantity: float,\n stages: List[LifecycleStage] = None) -> Dict:\n \"\"\"Calculate carbon for a material quantity.\"\"\"\n if material_id not in self.materials:\n raise ValueError(f\"Unknown material: {material_id}\")\n\n material = self.materials[material_id]\n\n if stages is None:\n stages = list(LifecycleStage)\n\n carbon_by_stage = {}\n total = 0\n\n for stage in stages:\n if stage == LifecycleStage.A1_A3:\n carbon = material.carbon_a1_a3 * quantity\n elif stage == LifecycleStage.A4:\n carbon = material.carbon_a4 * quantity\n elif stage == LifecycleStage.A5:\n carbon = material.carbon_a5 * quantity\n elif stage == LifecycleStage.B1_B7:\n carbon = material.carbon_b * quantity\n elif stage == LifecycleStage.C1_C4:\n carbon = material.carbon_c * quantity\n elif stage == LifecycleStage.D:\n carbon = material.carbon_d * quantity\n else:\n carbon = 0\n\n carbon_by_stage[stage.value] = carbon\n total += carbon\n\n return {\n 'material_id': material_id,\n 'material_name': material.name,\n 'quantity': quantity,\n 'unit': material.unit,\n 'total_carbon': total,\n 'carbon_by_stage': carbon_by_stage\n }\n\n def create_assembly(self, assembly_id: str, name: str,\n components: List[Dict]) -> AssemblyCarbon:\n \"\"\"Create an assembly from multiple materials.\"\"\"\n total_carbon = 0\n carbon_by_stage = {stage.value: 0 for stage in LifecycleStage}\n material_details = []\n\n for comp in components:\n material_id = comp['material_id']\n quantity = comp['quantity']\n\n result = self.calculate_material_carbon(material_id, quantity)\n total_carbon += result['total_carbon']\n\n for stage, carbon in result['carbon_by_stage'].items():\n carbon_by_stage[stage] += carbon\n\n material_details.append({\n 'material': result['material_name'],\n 'quantity': quantity,\n 'unit': result['unit'],\n 'carbon': result['total_carbon']\n })\n\n assembly = AssemblyCarbon(\n assembly_id=assembly_id,\n name=name,\n materials=material_details,\n total_carbon=total_carbon,\n carbon_by_stage=carbon_by_stage\n )\n\n self.assemblies[assembly_id] = assembly\n return assembly\n\n def calculate_project_carbon(self, project_id: str, project_name: str,\n gross_area: float, building_type: str,\n quantities: List[Dict]) -> ProjectCarbon:\n \"\"\"Calculate total project carbon.\"\"\"\n assemblies = []\n total_carbon = 0\n carbon_by_stage = {stage.value: 0 for stage in LifecycleStage}\n carbon_by_category = {}\n\n for qty in quantities:\n if 'assembly_id' in qty:\n # Use predefined assembly\n if qty['assembly_id'] in self.assemblies:\n assembly = self.assemblies[qty['assembly_id']]\n multiplier = qty.get('multiplier', 1)\n scaled_carbon = assembly.total_carbon * multiplier\n\n assemblies.append(AssemblyCarbon(\n assembly_id=assembly.assembly_id,\n name=assembly.name,\n materials=assembly.materials,\n total_carbon=scaled_carbon,\n carbon_by_stage={k: v * multiplier for k, v in assembly.carbon_by_stage.items()}\n ))\n total_carbon += scaled_carbon\n\n elif 'material_id' in qty:\n # Direct material\n result = self.calculate_material_carbon(\n qty['material_id'], qty['quantity']\n )\n total_carbon += result['total_carbon']\n\n for stage, carbon in result['carbon_by_stage'].items():\n carbon_by_stage[stage] += carbon\n\n # Track by category\n material = self.materials[qty['material_id']]\n cat = material.category\n carbon_by_category[cat] = carbon_by_category.get(cat, 0) + result['total_carbon']\n\n # Calculate metrics\n carbon_per_area = total_carbon / gross_area if gross_area > 0 else 0\n\n # Compare to benchmarks\n benchmark = self.BENCHMARKS.get(building_type, self.BENCHMARKS['Office'])\n benchmark_comparison = {\n 'carbon_per_area': carbon_per_area,\n 'typical_benchmark': benchmark['typical'],\n 'good_benchmark': benchmark['good'],\n 'best_benchmark': benchmark['best'],\n 'vs_typical': (carbon_per_area / benchmark['typical'] - 1) * 100,\n 'rating': self._get_rating(carbon_per_area, benchmark)\n }\n\n return ProjectCarbon(\n project_id=project_id,\n name=project_name,\n gross_area=gross_area,\n assemblies=assemblies,\n total_embodied_carbon=total_carbon,\n carbon_per_area=carbon_per_area,\n carbon_by_stage=carbon_by_stage,\n carbon_by_category=carbon_by_category,\n benchmark_comparison=benchmark_comparison\n )\n\n def _get_rating(self, carbon: float, benchmark: Dict) -> str:\n \"\"\"Get rating based on benchmark comparison.\"\"\"\n if carbon <= benchmark['best']:\n return 'A (Best Practice)'\n elif carbon <= benchmark['good']:\n return 'B (Good Practice)'\n elif carbon <= benchmark['typical']:\n return 'C (Typical)'\n else:\n return 'D (Above Typical)'\n\n def compare_alternatives(self, base_project: ProjectCarbon,\n alternatives: List[Dict]) -> pd.DataFrame:\n \"\"\"Compare carbon of design alternatives.\"\"\"\n comparisons = [{\n 'Option': 'Base Design',\n 'Total Carbon (tCO2e)': base_project.total_embodied_carbon / 1000,\n 'Carbon/m² (kgCO2e)': base_project.carbon_per_area,\n 'vs Base': '0%',\n 'Rating': base_project.benchmark_comparison['rating']\n }]\n\n for alt in alternatives:\n project = self.calculate_project_carbon(\n alt['id'], alt['name'], alt['gross_area'],\n alt.get('building_type', 'Office'), alt['quantities']\n )\n\n change = (project.total_embodied_carbon - base_project.total_embodied_carbon) / base_project.total_embodied_carbon * 100\n\n comparisons.append({\n 'Option': alt['name'],\n 'Total Carbon (tCO2e)': project.total_embodied_carbon / 1000,\n 'Carbon/m² (kgCO2e)': project.carbon_per_area,\n 'vs Base': f'{change:+.1f}%',\n 'Rating': project.benchmark_comparison['rating']\n })\n\n return pd.DataFrame(comparisons)\n\n def suggest_reductions(self, project: ProjectCarbon) -> List[Dict]:\n \"\"\"Suggest carbon reduction opportunities.\"\"\"\n suggestions = []\n\n # Analyze by category\n if 'Concrete' in project.carbon_by_category:\n concrete_carbon = project.carbon_by_category['Concrete']\n if concrete_carbon > project.total_embodied_carbon * 0.3:\n suggestions.append({\n 'category': 'Concrete',\n 'current_carbon': concrete_carbon,\n 'suggestion': 'Consider low-carbon concrete (GGBS/PFA replacement)',\n 'potential_reduction': '20-40%',\n 'impact': concrete_carbon * 0.3\n })\n\n if 'Steel' in project.carbon_by_category:\n steel_carbon = project.carbon_by_category['Steel']\n if steel_carbon > project.total_embodied_carbon * 0.2:\n suggestions.append({\n 'category': 'Steel',\n 'current_carbon': steel_carbon,\n 'suggestion': 'Specify high recycled content steel',\n 'potential_reduction': '10-25%',\n 'impact': steel_carbon * 0.2\n })\n\n # Benchmark-based suggestions\n if project.benchmark_comparison['vs_typical'] > 0:\n suggestions.append({\n 'category': 'Overall',\n 'current_carbon': project.total_embodied_carbon,\n 'suggestion': 'Project exceeds typical benchmark - review high-carbon elements',\n 'potential_reduction': f\"{abs(project.benchmark_comparison['vs_typical']):.0f}%\",\n 'impact': project.total_embodied_carbon * abs(project.benchmark_comparison['vs_typical']) / 100\n })\n\n return sorted(suggestions, key=lambda x: -x['impact'])\n\n def generate_report(self, project: ProjectCarbon) -> str:\n \"\"\"Generate carbon assessment report.\"\"\"\n lines = [\"# Embodied Carbon Assessment Report\", \"\"]\n lines.append(f\"**Project:** {project.name}\")\n lines.append(f\"**Gross Area:** {project.gross_area:,.0f} m²\")\n lines.append(f\"**Assessment Date:** {pd.Timestamp.now().strftime('%Y-%m-%d')}\")\n lines.append(\"\")\n\n # Summary\n lines.append(\"## Carbon Summary\")\n lines.append(f\"- **Total Embodied Carbon:** {project.total_embodied_carbon/1000:,.0f} tCO2e\")\n lines.append(f\"- **Carbon Intensity:** {project.carbon_per_area:,.0f} kgCO2e/m²\")\n lines.append(f\"- **Rating:** {project.benchmark_comparison['rating']}\")\n lines.append(\"\")\n\n # By lifecycle stage\n lines.append(\"## Carbon by Lifecycle Stage\")\n for stage, carbon in project.carbon_by_stage.items():\n if carbon != 0:\n pct = carbon / project.total_embodied_carbon * 100\n lines.append(f\"- {stage}: {carbon/1000:,.1f} tCO2e ({pct:.1f}%)\")\n lines.append(\"\")\n\n # By category\n lines.append(\"## Carbon by Material Category\")\n for cat, carbon in sorted(project.carbon_by_category.items(), key=lambda x: -x[1]):\n pct = carbon / project.total_embodied_carbon * 100\n lines.append(f\"- {cat}: {carbon/1000:,.1f} tCO2e ({pct:.1f}%)\")\n lines.append(\"\")\n\n # Benchmark\n lines.append(\"## Benchmark Comparison\")\n bc = project.benchmark_comparison\n lines.append(f\"- Project: {bc['carbon_per_area']:.0f} kgCO2e/m²\")\n lines.append(f\"- Typical: {bc['typical_benchmark']} kgCO2e/m²\")\n lines.append(f\"- Good Practice: {bc['good_benchmark']} kgCO2e/m²\")\n lines.append(f\"- Best Practice: {bc['best_benchmark']} kgCO2e/m²\")\n lines.append(\"\")\n\n # Reduction opportunities\n suggestions = self.suggest_reductions(project)\n if suggestions:\n lines.append(\"## Reduction Opportunities\")\n for sug in suggestions[:5]:\n lines.append(f\"\\n### {sug['category']}\")\n lines.append(f\"- **Suggestion:** {sug['suggestion']}\")\n lines.append(f\"- **Potential Reduction:** {sug['potential_reduction']}\")\n lines.append(f\"- **Impact:** {sug['impact']/1000:,.1f} tCO2e\")\n\n return \"\\n\".join(lines)\n\nQuick Start\n# Initialize calculator\ncalc = LifecycleCarbonCalculator()\n\n# Calculate project carbon\nproject = calc.calculate_project_carbon(\n project_id=\"PROJ-001\",\n project_name=\"Office Building\",\n gross_area=5000,\n building_type=\"Office\",\n quantities=[\n {'material_id': 'concrete_40mpa', 'quantity': 1500}, # m³\n {'material_id': 'steel_rebar', 'quantity': 150000}, # kg\n {'material_id': 'steel_structural', 'quantity': 200000},\n {'material_id': 'gypsum_board', 'quantity': 8000}, # m²\n {'material_id': 'glass_double', 'quantity': 1200}, # m²\n ]\n)\n\nprint(f\"Total Carbon: {project.total_embodied_carbon/1000:,.0f} tCO2e\")\nprint(f\"Carbon Intensity: {project.carbon_per_area:,.0f} kgCO2e/m²\")\nprint(f\"Rating: {project.benchmark_comparison['rating']}\")\n\n# Get reduction suggestions\nsuggestions = calc.suggest_reductions(project)\nfor sug in suggestions:\n print(f\"- {sug['category']}: {sug['suggestion']}\")\n\n# Generate full report\nreport = calc.generate_report(project)\nprint(report)\n\nDependencies\npip install pandas" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/datadrivenconstruction/lifecycle-carbon-calculator", "publisherUrl": "https://clawhub.ai/datadrivenconstruction/lifecycle-carbon-calculator", "owner": "datadrivenconstruction", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator", "downloadUrl": "https://openagent3.xyz/downloads/lifecycle-carbon-calculator", "agentUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent", "manifestUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent.json", "briefUrl": "https://openagent3.xyz/skills/lifecycle-carbon-calculator/agent.md" } }