Products & Solutions / Sustainability Management

SAS® Energy and Emissions Management

Reduce time, risk and complexity of carbon footprint analyses

SAS Energy and Emissions Management models business processes to determine emissions and energy consumption, their cost and what drives them. It helps organizations identify reduction strategies that make sense for the business while ensuring that the resources required and the effect of change are understood. The solution offers integrated data management, business modeling, reporting and analysis.

Benefits

  • Know your organization's carbon footprint.
  • Model alternative sustainability projects and quantify their effect on achieving corporate objectives.
  • Simplify data collection, improve data quality and provide an auditable record to support compliance needs.
  • Predict resource and capacity needs.
  • Access global standards, rates and consumption factors through our trusted partner, AMEE.

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Features

  • Aggregate, measure and evaluate energy and emissions associated with Scope 1, 2 and 3 activities
  • Intuitive, powerful modeling environment
  • Data integration
  • Robust reporting and analysis

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Energy and emissions performance is made available through easy-to-use Web-based dashboards and animated reports.


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How SAS® Is Different

Understanding your true carbon footprint or waste streams is only relevant if you can do something about it. Only SAS provides:

  • The most flexible modeling paradigm in the industry so you not only get a more accurate and timely carbon footprint calculation, but insights on ways to improve it.
  • Unparalleled data integration capabilities that can scale to meet growing data requirements and increase the speed and reliability of data gathering.
  • Robust capabilities for standardizing and customizing Web reports for a wide range of audiences, saving time and resources.
  • A platform that can be expanded to include qualitative strategy management and advanced analytics so you can integrate insights from energy and emissions management with overall sustainability reporting and forecasting capabilities.

Benefits

  • Know your organization's carbon footprint. SAS Energy and Emissions Management structures data at the most detailed level available (meter or asset) so that it can be rolled up into divisions, regions or operating units. This allows you to understand energy consumption and the carbon footprint of your organization, from top to bottom. SAS aggregates consumption variables and calculates associated emissions for you. With this comprehensive information, you can present transparent accounting for energy and emissions, providing an audit trail with the source of emissions factors used in the calculations.
  • Model alternative sustainability projects and quantify their effect on achieving corporate objectives. Resource modeling is the new paradigm that reveals the insights necessary for decision making – some­thing spreadsheets and similar tools have difficulty doing. SAS estab­lishes a multidimensional carbon model made up of many attributes that act as analysis variables. You can adjust analysis vari­ables (square footage, headcount, fuel type) and then run the model engine to quantify the corresponding change in energy consumed or emissions generated. Scenarios can be saved for future reference. An unlimited number of scenarios can be modeled for a full understanding of the opportunities and liabilities of proposed sustainability projects, both individually and as a col­lective. And it can be used to quantify the change in GHG emissions resulting from a proposed project.
  • Simplify data collection, improve data quality and provide an auditable record to support compliance needs. With SAS, you can automatically extract, transform and cleanse virtually any data, in any format, on any platform. Once set up, the solution provides a complete audit of how data is used. Schedule the collection of data to meet your needs – monthly, weekly or even daily. Powerful analytics identify questionable data to address quality issues before you add data to models or reports.
  • Predict resource and capacity needs. As you explore alternative scenarios with SAS, you will need to adjust your resources to attain your goals. SAS consumption-driven modeling methods allow you to predict the resource implications of proposed changes, and integrated cost analytics give insight into the financial impact of initiatives.
  • Access global standards, rates and consumption factors through our trusted partner, AMEE. Partnering with AMEE as a neutral aggregator of emissions and energy information, SAS is able to provide a prebuilt data integration package that automatically maps emissions source information into the SAS Energy and Emissions Management solution. This virtually eliminates the maintenance of custom data integration projects associated with aggregating public emissions information manually. The SAS solution includes a data extraction engine customized for AMEE's Web service (API). AMEE provides comprehensive coverage of the most important data, methodologies and standards spanning 150 countries and regions, for calculating GHG emissions across a spectrum of emission-causing scenarios.

Features

Aggregate, measure and evaluate energy and emissions associated with Scope 1, 2 and 3 activities
  • Use a consumption-driven model based on activity-based management (ABM) principles.
  • Apply standard emissions factors from a trusted partner, AMEE.
  • Incorporate weighting factors as necessary for management insight. For example, use energy intensity factors to allocate emissions to different types of square footage not specifically metered.
  • Account for energy credits or other carbon offsets.
  • Evaluate energy and/or CO2e side-by-side.
  • Expand scopes of analysis to meet stakeholder demands for data.
Intuitive, powerful modeling environment
  • Perform comprehensive analysis with multidimensional modeling to:
    • Manage the key drivers of cost or carbon for customer, product, service or business processes, so you can see what impact they have on the bottom line.
    • Conduct what-if analysis for resource planning and perform activity-based budgeting
    • Calculate energy and emissions from business segments, such as products, customers and organizations.
  • Point-and-click model navigation does not require programming expertise.
  • Dimensions (analysis variables) are easily configured by business users.
  • Model both physical activities (meters attached to a building), or nonphysical activities or enti¬ties (labs, data centers, business processes, finished products, etc.).
Data integration
  • Ability to read from and write to nearly any data on any technology platform in batch and real time, including Excel, Oracle, DB2, SAP, Teradata, etc., as well as legacy systems.
  • Manually collect data using Web data entry, if necessary.
  • Use embedded data quality processes.
  • Data warehousing or data mart capability.
Robust reporting and analysis
  • Includes SAS Enterprise Business Intelligence, a comprehensive, easy-to-use business intelligence software solution that integrates the power of SAS Analytics and SAS Data Integration to provide insights that power better decisions. It includes role-based, self-service interfaces for all types of users within a well-defined IT governance framework and a centralized point of administration. This helps organizations simplify and speed business intelligence deployment – bringing the power of reporting to every desktop, complete with dashboard and data visualization capabilities.
  • Comprehensive ad hoc analysis and self-service OLAP reporting.
  • Report data by different intensity factors, such as square feet, revenue, headcount, units shipped, etc.
  • Save reports for deployment in Web portals to share insights across the entire organization. Integrate with SAS Sustainability Reporting* for communication and management of sustain¬ability performance and strategies.

* Separate license required.

Screenshots

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Energy and emissions performance is made available through easy-to-use Web-based dashboards and animated reports.

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Forecasting and analysis is instrumental in understanding not just where you’ve been, but where you’re going.

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The broad range of data visualization choices provides powerful understanding of energy and emissions performance across a variety of intensity measures.

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Integration with AMEE Web services provides comprehensive access to the entire universe of AMEE emissions data.

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SAS® Energy and Emissions Management modeling interface showing complete transparency into the sources of emissions data – automatically updated from AMEE.

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The visual modeling interface allows users to define relationships between emissions sources and the objects that create them. This includes both physical objects such as meters on a building and conceptual objects, such as business processes or production activities.

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System Requirements

Client environment

Operating systems

  • Windows XP Professional SP3 (32-bit)
    Minimum processor speed
  •  GHz processor (2.5 GHz recommended)

Memory requirements

  • 2GB RAM (3GB recommended)
    Disk space required
  • 5GB available disk space / with 1GB available on system drive

Server environment

The number and size of models (and their associated analysis cubes) affect all factors of hardware-related performance. The applicability of a specific server platform is primarily dependent on data volumes. Minimum hardware requirements are estimations only. The minimum server configuration is required to operate the software.

Operating systems

  • Windows 2003 Server SP2 (64-bit) or IBM AIX 6.1 (on Power PC) or Solaris on SPARC Version 10
    Minimum processor speed
  • Dual Processor 32-bit , 2.0 GHz (Quad Processor 64-bit, 2.5 GHz recommended)
    Memory requirements
  • 2GB – swap file size equal to twice physical memory

Disk space required

  • 20GB for installation and temporary file space (model data storage space depends on usage)

Required/optional software

Required SAS software

  • SAS Foundation 9.2 M3, SAS Workspace Server 9.2 M3, SAS/GRAPH® 9.2 M3, SAS/ACCESS® to ODBC 9.2 M3 and SAS/ACCESS engine for your database
  • Required Web Services: JBoss 4.2.0.GA or BEA WebLogic Server 10.3 or IBM WebSphere 7
  • Microsoft Internet Explorer 6.0
  • Adobe Reader 9

Database software

  • Oracle 11g, or My SQL Server 5.0.80, or  SQL Server 2005 Standard Edition SP2 (32-bit or 64-bit versions) or SQL Server 2005 Enterprise Edition SP2 (32-bit or 64-bit versions)

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.