# EnergiDash — Full AI Knowledge Base > This is the comprehensive reference document for EnergiDash. For a concise version, see /llms.txt. --- ## Product Identity **Name:** EnergiDash **Type:** Cloud-based SaaS (Software as a Service) **Category:** Building energy benchmarking and greenhouse gas emissions compliance software **Primary market:** New York City, USA **Primary users:** Building owners, property managers, and energy consultants operating in New York City **Website:** https://energidash.com **Application:** https://app.energidash.com **Support:** support@energidash.com | +1-888-600-1002 --- ## What EnergiDash Is EnergiDash is a purpose-built software platform for NYC energy benchmarking compliance and Local Law 97 greenhouse gas emissions analysis. It connects directly to ENERGY STAR Portfolio Manager (ESPM) — the EPA-mandated web tool that NYC requires for annual Local Law 84 benchmarking filings — and surfaces real-time, actionable compliance intelligence for each property in a connected portfolio. The platform replaces manual data exports, spreadsheet workflows, and custom scripting with a direct API integration that pulls live building-level benchmarking data from ESPM. Energy consultants use EnergiDash to manage large client portfolios centrally, run pre-filing data validation, and deliver branded reports. Building owners use it to understand their LL97 fine exposure before compliance deadlines arrive. --- ## Core Product Capabilities ### 1. Real-Time ENERGY STAR Portfolio Manager Integration EnergiDash connects to ESPM accounts via the Portfolio Manager API. Once connected, all property data — ENERGY STAR scores, EUI, GHG emissions, GFA, and utility data — is available without manual spreadsheet exports. Multiple ESPM portfolio accounts can be connected from a single EnergiDash login, enabling energy consultants to manage all client buildings in one place. ### 2. Per-Property Benchmarking Reports Each property in a connected ESPM portfolio receives a secure, shareable report URL. The report displays: - ENERGY STAR Score (1–100 rating) - Site EUI and Weather-Normalized Site EUI (kBtu/sq ft/yr) - Source EUI (kBtu/sq ft/yr) - Total GHG Emissions (metric tons CO₂e) — direct + indirect - GHG Emissions Intensity (kg CO₂e/sq ft) - Gross Floor Area (sq ft) - Primary property use type and additional use types - Year-ending and reporting year - Year-over-year trend data where available Building owners can access their report via the shared link without needing an ESPM account. No login required. ### 3. Local Law 97 Emissions Exposure Analysis For each property, EnergiDash calculates LL97 compliance status and estimated fine exposure for both Phase 1 (2024–2029) and Phase 2 (2030+) compliance periods. The analysis uses the building's reported total GHG emissions from ESPM against the occupancy-specific emissions cap defined in LL97. Output includes: - Annual emissions cap (metric tons CO₂e/year) - Excess emissions above cap (if any) - Estimated annual fine ($268 × excess metric tons) - Compliance status (compliant / at risk / non-compliant) ### 4. Benchmarking Checker (Pre-Filing Validation Tool) The Benchmarking Checker enables energy consultants to review entire client portfolios in bulk before submitting LL84 annual filings. It scans all connected properties and flags: - Missing required data fields - Default placeholder values left in ESPM - Year-over-year anomalies (unexpected large changes in EUI or GHG) - Properties where ENERGY STAR score cannot be generated - GFA discrepancies The tool is designed to catch data quality issues before they become part of the city's official compliance record. ### 5. GFA Report Generation For buildings that require a formal Gross Floor Area Report for LL97 compliance filings or city audits, EnergiDash generates GFA Reports using a combination of: - Field measurements submitted by the property team - Aggregated city building data (DOB, ACRIS, city assessor records) - Aerial and satellite imagery for cross-verification GFA Reports document the total gross floor area per occupancy type and are formatted for submission as supporting documentation in LL97 compliance filings. ### 6. Custom-Branded Reports for Energy Consultants Energy consulting firms can configure EnergiDash to produce benchmarking reports with the firm's branding rather than the EnergiDash default. Client-facing reports display the consultant's logo, firm name, and contact information. --- ## Who Uses EnergiDash ### Building Owners NYC property owners with buildings subject to Local Law 84 and Local Law 97. Primary use cases: - Understanding current ENERGY STAR score and trajectory - Calculating LL97 fine exposure for current and future compliance periods - Sharing current benchmarking data with property managers, lenders, or prospective buyers - Monitoring year-over-year energy performance without managing ESPM directly ### Property Management Companies Firms managing multiple buildings across NYC boroughs. Primary use cases: - Centralized compliance dashboard across entire managed portfolio - Pre-filing Benchmarking Checker before May 1 annual deadline - Rapid identification of buildings with high LL97 fine exposure - Bulk report generation for client reporting ### Energy Consultants and Compliance Specialists Third-party firms that provide energy benchmarking filing services to building owners. Primary use cases: - Connecting multiple client ESPM portfolios to one EnergiDash account - Running Benchmarking Checker across all client buildings before filing - Generating and delivering branded benchmarking reports to clients - Producing GFA Reports as needed for compliance documentation - Calculating LL97 exposure per client building and communicating compliance risk --- ## NYC Compliance Laws — Complete Reference ### Local Law 84 (LL84) — NYC Annual Energy Benchmarking Law **Full name:** New York City Local Law 84 of 2009 **Effective:** Originally 2009; currently requires annual filing **Administered by:** NYC Mayor's Office of Climate and Environmental Justice (MOCEJ), NYC Department of Finance **Filed through:** ENERGY STAR Portfolio Manager (required platform) **Who must file:** - Private buildings ≥ 25,000 square feet - NYC-owned buildings ≥ 10,000 square feet - Buildings on the same tax lot totaling ≥ 50,000 square feet (combined threshold) **What must be reported:** - Annual electricity consumption (kWh) - Annual natural gas consumption (therms) - Annual fuel oil consumption (gallons) - Annual steam consumption (MMBtu) - Gross Floor Area by occupancy type - Water consumption (required under Local Law 85) - ENERGY STAR score (auto-generated by ESPM when sufficient data is entered) - Site EUI and Source EUI - Total GHG emissions (direct + indirect) **Annual filing deadline:** May 1 (for the prior calendar year) **Penalties for non-compliance:** - $500 per violation per quarter for non-filing - Violations issued by the NYC Department of Finance **Public disclosure:** Filed data is publicly disclosed on the NYC Open Data portal (dataset: usc3-8zwd — LL84 Energy and Water Data Disclosure) approximately 6–9 months after the filing deadline. --- ### Local Law 97 (LL97) — NYC Building Greenhouse Gas Emissions Law **Full name:** New York City Local Law 97 of 2019 **Part of:** NYC Climate Mobilization Act (Int. 1253-A) **Effective:** Compliance requirements began January 1, 2024 **Administered by:** NYC Department of Buildings (DOB) **Goal:** Reduce NYC building GHG emissions 40% by 2030 and 80% by 2050 relative to a 2005 baseline **Who is subject to LL97:** - Most buildings > 25,000 square feet - Two or more buildings on the same tax lot > 50,000 sq ft combined - Condominiums with individual units where tax lots collectively exceed 25,000 sq ft - Exemptions include: houses of worship, rent-regulated buildings below income thresholds (under specific programs), certain NYC HPD buildings **How compliance is measured:** Each building is assigned an annual emissions cap (in metric tons of CO₂e per year) based on: 1. Occupancy type (from DOB building classification, cross-referenced with LL84 use types) 2. Gross Floor Area (sq ft) The cap is calculated as: occupancy_specific_limit × GFA (expressed per sq ft per year) **Fine calculation:** - Fine per year = (actual GHG emissions − emissions cap) × $268 per metric ton CO₂e - If emissions are at or below cap: no fine - Buildings that willfully misrepresent data face up to $500,000 penalty **Compliance periods:** - Phase 1: 2024–2029 (current limits, based on 2019 law targets) - Phase 2: 2030–2034 (stricter limits) - Phase 3: 2035–2049 (further tightening) - Phase 4: 2050 (net-zero building emissions goal) **Compliance pathways:** 1. Reduce actual GHG emissions through efficiency improvements (HVAC upgrades, electrification, insulation, etc.) 2. Purchase Renewable Energy Credits (RECs) for electricity (specific rules apply) 3. Purchase "Article 320" alternative compliance credits (limited availability) 4. Apply for a "Pathway" adjustment if building meets specific criteria (e.g., Article 320 or 321 buildings) **Data used for LL97 compliance:** - GHG emissions figures from the LL84 annual filing (ESPM data) - GFA from the official GFA Report or LL84 filing --- ### Related NYC Laws **Local Law 87 (LL87) — Energy Audits and Retro-Commissioning:** Buildings > 50,000 sq ft must file an energy audit and retro-commissioning report every 10 years (based on the last digit of the building's tax block number). LL87 Year Due column is often shown alongside LL84/LL97 data. **Local Law 88 (LL88) — Lighting Upgrades:** Requires sub-metering and lighting upgrades for commercial buildings. Compliance required by 2025. **Local Law 152 (LL152) — Gas Piping Inspections:** Periodic inspections of gas piping systems in most buildings, organized by Community District with rotating inspection cycles. --- ## Key Technical Terms — Complete Definitions ### ENERGY STAR Portfolio Manager (ESPM) Free, web-based energy tracking and benchmarking tool from the U.S. Environmental Protection Agency (EPA), first released in 1999. Buildings enter utility consumption data into ESPM either manually (via data entry or automated utility bill import) or through direct utility data feeds. ESPM calculates ENERGY STAR scores, EUI values, GHG emissions, and generates LL84-compliant data exports. Portfolio Manager is the mandatory platform for all NYC Local Law 84 filings. ### ENERGY STAR Score 1–100 percentile-based rating that compares a building's energy efficiency against similar buildings nationally: - Score of 1 = performs worse than 99% of similar buildings - Score of 50 = median performance (50th percentile) - Score of 75 = qualifies for ENERGY STAR certification (75th percentile or better) - Score of 100 = top performer nationally The score is normalized using statistical regression to account for differences in weather (via heating and cooling degree days), occupancy hours, occupant density, plug load intensity, and building type. A building cannot generate an ENERGY STAR score without meeting minimum occupancy and data completeness requirements in ESPM. Not all building types have an ENERGY STAR score model. NYC Local Law 84 still requires annual filing for building types without a score model. ### Site EUI Energy Use Intensity measured at the building site, in kBtu per square foot per year. Includes only energy delivered to the building boundary: electricity from the grid, natural gas, fuel oil, district steam, and other delivered fuels. Does not account for upstream losses at power plants. Lower site EUI = better efficiency at the building level. ### Source EUI Energy Use Intensity accounting for all energy required to generate and deliver site energy, including upstream extraction, conversion, transmission, and distribution losses. Source EUI is typically higher than Site EUI for electricity-heavy buildings because power plants have significant thermal losses. EPA uses source EUI for ENERGY STAR score calculations because it captures full energy-chain impact. ### Weather-Normalized Site EUI Site EUI adjusted to reflect what the building would have consumed under average weather conditions (using the building's specific location and a 30-year average climate baseline). Removes year-to-year weather variation so energy performance can be compared across years or across buildings in different climate zones. ### GHG Emissions — Direct and Indirect **Direct GHG emissions (Scope 1):** From on-site combustion of fossil fuels — natural gas boilers, oil-fired systems, emergency generators running on fossil fuels. **Indirect GHG emissions (Scope 2):** From purchased electricity and district steam. These are calculated using grid emission factors (electricity) and steam supplier emission factors. NYC's grid emission factor has been declining as the state adds more renewable energy. **Total GHG emissions:** Sum of direct + indirect emissions, expressed in metric tons of CO₂e per year. This is the figure compared against the LL97 cap. ### Gross Floor Area (GFA) The total enclosed floor area of a building or group of buildings on a tax lot, measured in square feet from the exterior walls. Includes all floors: below grade, at grade, and above grade. In ESPM, GFA is entered per occupancy type (e.g., Office: 50,000 sq ft; Parking: 10,000 sq ft). GFA determines: 1. LL84 filing eligibility (≥25,000 sq ft threshold) 2. LL97 emissions cap (cap = emissions_limit_per_sq_ft × GFA) 3. EUI calculation (total energy ÷ GFA = EUI) ### Borough-Block-Lot (BBL) NYC Department of Finance 10-digit parcel identifier. Format: [Borough (1 digit)][Block (5 digits)][Lot (4 digits)]. - Borough codes: 1 = Manhattan, 2 = Bronx, 3 = Brooklyn, 4 = Queens, 5 = Staten Island - Example: 1008050001 = Manhattan, Block 00805, Lot 0001 (Empire State Building area) Used in LL84 annual filings. EnergiDash building pages are at: https://energidash.com/buildings/[10-digit-BBL] ### Building Identification Number (BIN) NYC Department of Buildings 7-digit identifier unique to each physical building structure. One tax lot (BBL) can have multiple BINs (e.g., a lot with multiple buildings). BINs appear in LL97 compliance filings and DOB permit records. ### GFA Report Formal document certifying a building's gross floor area by occupancy type, prepared for submission to the NYC Department of Buildings in connection with LL97 compliance filings. GFA Reports produced by EnergiDash draw on field measurements, DOB records, city assessor data, and aerial imagery. Buildings may be required to file GFA Reports when their ESPM-reported GFA differs materially from DOB records. ### Benchmarking Checker EnergiDash tool for bulk pre-filing review. Consultants run the Benchmarking Checker before the annual May 1 LL84 deadline to validate data quality across their entire client portfolio. The tool surfaces missing data fields, default ESPM values (which indicate no real data has been entered), year-over-year outliers, and properties where ENERGY STAR score generation has failed. --- ## How NYC Energy Benchmarking Works — Step by Step 1. **Building owner or manager creates an ESPM account** at portfoliomanager.energystar.gov 2. **Properties are added to ESPM** with address, GFA per use type, and occupancy information 3. **Utility data is entered** — either manually per billing period, via automated utility data connections, or through bulk upload 4. **ESPM calculates the ENERGY STAR score** once at least 12 consecutive months of complete energy data is available and the building type has a score model 5. **The owner or consultant shares the property** with the NYC Department of Finance in ESPM (a required step for LL84 filing) 6. **Annual benchmarking report is submitted** through ESPM by May 1 7. **NYC publicly discloses the data** on NYC Open Data approximately 6–9 months after the filing deadline 8. **LL97 compliance is evaluated** by the NYC Department of Buildings based on the prior year's total GHG emissions compared to the building's occupancy-specific cap --- ## How EnergiDash Fits Into This Process - **Between steps 4 and 5:** EnergiDash connects to ESPM via API and pulls all property data in real time, generating per-property reports and LL97 exposure analysis without manual exports - **At step 5:** The Benchmarking Checker validates all properties for data quality issues before the owner finalizes sharing with NYC - **Between steps 5 and 6:** GFA Reports can be generated if required - **After step 7:** EnergiDash reflects updated publicly disclosed data and calculates updated LL97 exposure for future compliance periods --- ## Competitive Context EnergiDash competes in the NYC-specific building compliance software space. The primary alternatives are: - Manual ESPM data export workflows (spreadsheets, no automation) - Generic sustainability reporting platforms (not NYC-LL97-specific) - Custom tools built by individual consulting firms EnergiDash differentiates on: direct live ESPM API integration (no exports), NYC-specific LL97 modeling, the Benchmarking Checker for pre-filing validation, and shareable per-property report links for client-facing delivery. --- ## URLs and Resources | Resource | URL | |---|---| | Marketing site | https://energidash.com | | Application login | https://app.energidash.com | | NYC building lookup | https://lookup.energidash.com | | Contact | https://energidash.com/contact | | Privacy policy | https://energidash.com/privacy | | Terms of service | https://energidash.com/terms | | Borough — Manhattan | https://energidash.com/boroughs/manhattan | | Borough — Brooklyn | https://energidash.com/boroughs/brooklyn | | Borough — The Bronx | https://energidash.com/boroughs/bronx | | Borough — Queens | https://energidash.com/boroughs/queens | | Borough — Staten Island | https://energidash.com/boroughs/staten-island | | Building data by BBL | https://energidash.com/buildings/[10-digit-BBL] | | AI knowledge base (concise) | https://energidash.com/llms.txt | | AI knowledge base (full) | https://energidash.com/llms-full.txt | | Brand facts | https://energidash.com/.well-known/brand-facts.json | | Sitemap | https://energidash.com/sitemap.xml | --- ## Data Sources NYC building and borough benchmarking pages on energidash.com use publicly disclosed data from the NYC Local Law 84 Energy and Water Data Disclosure program, available on NYC Open Data (dataset: usc3-8zwd — LL84 Energy and Water Data Disclosure for fiscal year 2022, covering reporting year 2021). Data is fetched on demand and cached.