@inproceedings{25481,
  author = {Michael Stadler and Chris Marnay and Nicholas DeForest and Joseph H Eto and Gonçalo Cardoso and Andrea A Mammoli and Hans Barsun and Richard Burnett and David Klapp and Judy Lai},
  title = {Web-Based Economic and Environmental Optimization of Microgrids},
  abstract = {<p>Even as distributed generation and distributed energy resources (DER) become a more appealing option to meeting building electricity, heat, and cooling demands, the process of selecting the appropriate equipment mix remains as a complex and time-consuming obstacle. This is the motivation behind Lawrence Berkeley National Laboratory's (LBNL) development of WebOpt, a flexible web-based software as service (SaaS) approach for optimizing the selection and operation of DER equipment, and running the Distributed Energy Resources Customer Adoption Model (DER-CAM), the optimization platform that supports it. DER-CAM solves energy systems for microgrids [1], [2] (e.g. combined heat and power (CHP) or electric storage) holistically, taking into account service levels for multiple building end-uses, including heating, cooling and electricity. Given an individual microgrid's hourly energy requirements, available technologies and the economic environment as defined by tariff structure, DER-CAM finds the economically or environmentally optimal combination of equipment to install and an optimal schedule to operate it [3], [4].</p>},
  year = {2012},
  journal = {2012 IEEE PES Innovative Smart Grid Technologies Conference},
  month = {01/2012},
  address = {Washington Marriott Wardman Park, Washington D.C., USA},
  doi = {10.1109/ISGT.2012.6175750},
  language = {eng},
}