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ease
features
design
support

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Description

Carbonhound is an advanced platform for carbon management that automates every aspect of the emissions reporting process, encompassing data collection, calculations, reduction strategies, and stakeholder communications for Scope 1, 2, and 3 emissions. The platform enhances data entry efficiency through direct connections with utilities, which cover 98% of North American providers, along with bulk upload options and real-time data synchronization, thereby reducing manual entry mistakes and maintaining current emissions data. By utilizing automated calculation methods that comply with ISO 14064 and the GHG Protocol, Carbonhound provides users with reliable, audit-ready information, visual dashboards, and customizable reports designed for various frameworks such as CDP, SBTi, B Corp, and CBAM. Users are empowered to establish reduction targets, initiate projects using templates developed in collaboration with industry specialists, and mitigate any remaining emissions by purchasing verified carbon credits. Additionally, the option to consult with a network of experts is available for those seeking further professional support. This comprehensive approach ensures that organizations not only track their carbon footprint effectively but also actively engage in meaningful sustainability efforts.

Description

The Generating Availability Data System (GADS) program, managed by the North American Electric Reliability Corporation (NERC), stands as the global benchmark for outage data reporting and tracking within the power generation sector. Currently, over 590 electric generating companies across North America are mandated to submit their power plant outage data to NERC through the GADS framework. Additionally, numerous international firms are adopting this program for their data collection and analytical needs. In response to the industry's demand for robust and user-friendly tools to gather GADS data, Guidehouse has developed the MicroGADS Gold program. This software adheres strictly to NERC and IEEE 762 standards, ensuring consistency in GADS data reporting and analysis, which in turn aids in generating reliable statistics and reports. Furthermore, MicroGADS Gold is designed to meet all obligatory reporting standards for data submission to NERC, making it an essential tool for compliance in the industry. By leveraging this software, companies can enhance their operational efficiency while maintaining the highest standards of data integrity.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform

Integrations

Google Cloud Platform

Pricing Details

$600 per year
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Carbonhound

Founded

2021

Country

Canada

Website

carbonhound.com

Vendor Details

Company Name

Navigant Consulting

Website

guidehouse.com/-/media/www/site/insights/energy/2017/en_microgads_br_0517-v5.pdf

Product Features

Emissions Management

Allowance Management
Automatic CO2 Calculation
Emission Inventory
Emission Reduction Planning
Emissions Monitoring
Emissions Trading
Frequency-Based Tasks
Permit Level Maintenance
Risk Management

Product Features

Energy Management

Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization

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