Welcome to SEDS

What is SEDS?

SEDS is the Stochastic Energy Deployment System. SEDS is a long-range model of the US energy markets. It is designed to explore how the US energy economy will evolve in response to the development of new energy technologies, including renewable sources of energy and improvements in energy efficiency. It simulates whether and how markets adopt new technologies depending on their costs and performance relative to competing technologies. It uses projections of how R&D may improve the performance of new technologies over time. It enables analysts to explore the effects of policies designed to accelerate development and adoption of energy sources with lower carbon emissions and that reduce dependence on imported oil -- such as cap-and-trade or carbon taxes and other incentives for renewable energies. It also evaluates the effects of R&D.

SEDS is being developed by a consortium of national labs under leadership of the National Renewable Energy Laboratory (NREL), with support of DOE Office of Energy Efficiency and Renewable Energy (EERE).

SEDS is being developed with a commercially available modeling software, Analytica, designed to facilitate the development of stochastic models (click for more information on  Analytica[www.lumina.com]).

Contact Emily Newes of the Strategic Energy Analysis Center (SEAC) for more information.

Objectives of SEDS

The Objectives of SEDS include that it should be:

  • Simple, relative to NEMS, for example, so that you can make changes and perform multiple runs in minutes rather than hours.
  • Transparent, so that you can easily review it and scrutinize its structure and assumptions
  • Flexible, so that you can easily modify the model, and insert or replace modules.
  • Comprehensive, so that it covers all energy technologies that are now or may soon be important contributors to the US energy/economics, including fossil and renewable resources, and main demand sectors.
  • Capable of representing risk and uncertainty explicitly using probability distributions and Monte Carlo (or Latin Hypercube) to analyze uncertainties efficiently
  • Open source, meaning that anyone can access SEDS models easily, to download, review, run, and modify. Ultimately, we hope that many people will want to use, review, and improve SEDS, creating an ecosystem of modelers who build on each others work.

SEDS Modules

SEDS Model Review

Developers Only

If you are a SEDS developer and want permission to edit pages, follow these instructions. First, you need to  register and setup a username and password and give your email address. This will give you access to read the wiki site but not to edit it. For editing privileges, the best method is to email James Milford (James_Milford@… and include your case-sensitive username, which will allow him to grant you editing permissions.

  • Access to this page is restricted to developers
!! All results included in this site are PRELIMINARY and are posted for illustrative purposes.