Research Project Summary Information
Modeling of how large NYS commercial buildings and campuses may optimize energy use with advanced technologies and Smart Grid interactions.(28813)
Today, electricity customers in New York State are presented with price signals, retail supply products and demand response program offerings. More customers are inquiring about innovations like on-site generation, combined heat-and-power, photovoltaic (PV), islanding and microgrid, battery and thermal storage. Severe climatic events have increased awareness regarding the resiliency of facility operations and the value of distributed generation. It is expected that as technologies to manage consumption evolve and improve in performance and cost, New York State commercial and industrial electric customers, in particular, might undertake actions to self optimize (or even co-optimize with others customers) their energy use to minimize their costs and carbon foot prints or increase the resilience of their operations. Many self-optimizing behaviors aimed at lowering demand/delivery and capacity costs and at providing demand response have been observed in New York State. It is feasible that additional self-optimizing behaviors could likely develop including automated curtailment and load shaping, response to day-head hourly prices, participation in “dispatchable” demand response and on-site energy production and storage.
This research seeks to provide a better understanding of how large New York State commercial buildings and campuses may self-optimize their energy use in ways that modify their electricity load profiles. KEMA's (dba DNV KEMA) objective is to better understand the value and costs of select self-optimizing behaviors, explore the capabilities and limitations of enabling technologies (on-site generation, storage, demand response automation, PV, etc.) and examine the likelihood of adoption. The objective is to model and analyze likely behavior of self-optimizing customers enabled by various technologies recognizing the economics of New York State ratepayers and describe potential load profiles changes.
This study will provide a more holistic understanding of likely scenarios of how commercial customers in New York State interpret the myriad of retail and wholesale prices and programs and use new technologies to self-optimize their electricity consumption. It will provide an evaluation of the value propositions facing customers, potential load profile impacts and likelihood of adoption. There is some concern that rapid adoption of technology and self-optimizing behavior, particularly demand response participation in real-time energy, may change the predictable nature of load behaviors resulting in additional cost or instability to the grid. By shedding light on the capabilities and challenges of self-optimizing behaviors and some enabling technologies, this study will benefit ratepayers who are interested in exploring such options and the New York Independent System Operator (NYISO)who could engage such customers as demand-side resources.
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Burlington, MA 01803
NYSERDA Contact Information
R&D - Buildings Research