@article{3422,
  keywords = {Power system planning, Dispersed storage and generation, Power system economics, Cogeneration, Building management systems, Cooling, Cost optimal control, Buildings, Optimization methods, Distributed control},
  author = {Chris Marnay and Giri Venkataramanan and Michael Stadler and Afzal S Siddiqui and Ryan M Firestone and Bala Chandran},
  title = {Optimal Technology Selection and Operation of Commercial-Building Microgrids},
  abstract = {<p>The deployment of small ( \&lt; 1-2 MW ) clusters of generators, heat and electrical storage, efficiency investments, and combined heat and power (CHP) applications (particularly involving heat-activated cooling) in commercial buildings promises significant benefits but poses many technical and financial challenges, both in system choice and its operation; if successful, such systems may be precursors to widespread microgrid deployment. The presented optimization approach to choosing such systems and their operating schedules uses Berkeley Lab{\textquoteright}s Distributed Energy Resources Customer Adoption Model (DER-CAM), extended to incorporate electrical and thermal storage options. DER-CAM chooses annual energy bill minimizing systems in a fully technology-neutral manner. An illustrative example for a hypothetical San Francisco hotel is reported. The chosen system includes one large reciprocating engine and an absorption chiller providing an estimated 11\% cost savings and 8\% carbon emission reductions under idealized circumstances.</p>},
  year = {2008},
  booktitle = {IEEE Transactions on Power Systems},
  journal = {IEEE Transactions on Power Systems},
  series = {IEEE Transactions on Power Systems},
  volume = {23},
  number = {3},
  pages = {975-982},
  month = {08/2008},
  issn = {0885-8950},
  doi = {10.1109/TPWRS.2008.922654},
  language = {eng},
}