Browsing by Author "Kiliccote, S."
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Item Advanced Control Technologies and Strategies Linking Demand Response and Energy Efficiency(Energy Systems Laboratory (http://esl.tamu.edu), 2005) Kiliccote, S.; Piette, M. A.Item Autimated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR(Energy Systems Laboratory (http://esl.tamu.edu), 2013) Kim, J. J.; Yin, R.; Kiliccote, S.; Environmental Energy Tech Division, Lawrence Berkeley National LaboratoryOpen Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of demand response signals, and control methods. Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management and demand response capabilities of two commercial buildings in New York City. Preliminary results reveal that providing machine-readable prices to commercial buildings can facilitate both demand response participation and continuous energy cost savings. Hence, efforts should be made to develop more sophisticated algorithms for building control systems to minimize customer's utility bill based on price and reliability information from the electricity grid.Item Chilled Water Thermal Storage System and Demand Response at the University of California at Merced(Energy Systems Laboratory (http://esl.tamu.edu), 2009-11) Granderson, J.; Dudley, J. H.; Kiliccote, S.; Piette, M. A.University of California at Merced is a unique campus that has benefited from intensive efforts to maximize energy efficiency, and has participated in a demand response program for the past two years. Campus demand response evaluations are often difficult because of the complexities introduced by central heating and cooling, non-coincident and diverse building loads, and existence of a single electrical meter for the entire campus. At the University of California at Merced, a two million gallon chilled water storage system is charged daily during off-peak price periods and used to flatten the load profile during peak demand periods, further complicating demand response scenarios. The goal of this research is to study demand response savings in the presence of storage systems in a campus setting. First, University of California at Merced is described and its participation in a demand response event during 2008 is detailed. Second, a set of demand response strategies were pre-programmed into the campus control system to enable semi-automated demand response during a 2009 event, which is also evaluated. Finally, demand savings results are applied to the utility’s DR incentives structure to calculate the financial savings under various DR programs and tariffs.Item Summary of the 2006 Automated Demand Response Pilot(Energy Systems Laboratory (http://esl.tamu.edu), 2007) Piette, M.; Kiliccote, S.; Lawrence Berkeley National Laboratory, Berkeley, CaliforniaThis paper discusses the specific concept for, design of, and results from a pilot program to automate demand response with critical peak pricing. California utilities have been exploring the use of critical peak pricing (CPP) to help reduce peak day summer time electric loads. CPP is a form of price-responsive demand response. This Automated Critical Peak Pricing (Auto-CPP) project from 2006 draws upon three years of previous research and demonstrations from the years of 2003, 2004, and 2005. The purpose of automated demand response (DR) is to improve the responsiveness and participation of electricity customers in DR programs and lower overall costs to achieve DR. Auto-CPP is a form of automated demand response (Auto-DR).