Development and evaluation of fully automated demand response in large facilities

Piette, Mary Ann; Sezgen, Osman; Watson, David S.; Motegi, Naoya; Shockman, Christine; Hope, Laurie ten

doi:10.2172/840331

Cited by 73 publications

(43 citation statements)

References 4 publications

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“…For example, the performance metric "zone temperature" uses data from only one data stream, but the performance metric "zone thermal comfort" uses data from numerous data streams that include zone temperature, zone humidity ratio, air velocity, and occupant clothing level. Most important, this generic formula is independent of datum source, so where relevant, it will process measured data from a building, predicted data generated by a whole building simulation model, and utility provider data such as dynamic tariffs in an identical manner [34]. This generic approach enables identical processing of data from different sources and facilitates a one-to-one comparison between measured and predicted data.…”

Section: Scenario-modelling Methodsmentioning

confidence: 99%

“…With relevant data, at the required levels of resolution and presented in an appropriate format, a building manager could optimise operation while accounting for systems performance, thermal loads, building function, and energy performance. However, building managers must have the ability to disaggregate consumption into what is relevant to building function and what is unnecessary waste, especially when utility providers use dynamic pricing strategies [34].…”

Section: Holistic Performance Analysismentioning

confidence: 99%

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Scenario modelling: A holistic environmental and energy management method for building operation optimisation

O’Donnell

Keane

Morrissey

et al. 2013

Energy and Buildings

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Building managers have specific duties and certain outputs that are required of them. Without the necessary data, information, tools, and time, they are unable to adequately meet their organisational goals. Scenario modelling enables explicit and unambiguous coupling of building functions with other pivotal aspects of building operation in a method that specifically considers the education and technical expertise of building managers. This new method captures, transforms, and communicates the complex interdependencies of environmental and energy management in buildings through an easily navigable, holistic, and reproducible checking mechanism that compares actual performance with predicted performance and completes the "plan-docheck-act" cycle for building managers. Most important, the structured nature of this method caters to the diverse profile of building managers, making it applicable for widespread deployment. This paper demonstrates the benefit of using the new method by examining its application to a performance analysis of two existing buildings.

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Section: Scenario-modelling Methodsmentioning

confidence: 99%

Section: Holistic Performance Analysismentioning

confidence: 99%

Scenario modelling: A holistic environmental and energy management method for building operation optimisation

O’Donnell

Keane

Morrissey

et al. 2013

Energy and Buildings

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“…Charges like water heaters, electric radiators, heat pumps, battery EV's, can be controlled, via communication with "energy box" installed in the customers home. [9][10] [11].…”

Section: Commercial Agents Aggregatorsmentioning

confidence: 99%

Risk Analysis and Behavior of Electricity Portfolio Aggregator

Eusebio

Sousa

Neves

2015

IFIP Advances in Information and Communication Technology

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Abstract. The scope of this paper is to adapt the standard mean-variance model of Henry Markowitz theory, creating a simulation tool to find the optimal configuration of the portfolio aggregator, calculate its profitability and risk. Currently, there is a deep discussion going on among the power system society about the structure and architecture of the future electric system. In this environment, policy makers and electric utilities find new approaches to access the electricity market; this configures new challenging positions in order to find innovative strategies and methodologies. Decentralized power generation is gaining relevance in liberalized markets, and small and medium size electricity consumers are also become producers ("prosumers"). In this scenario an electric aggregator is an entity that joins a group of electric clients, customers, producers, "prosumers" together as a single purchasing unit to negotiate the purchase and sale of electricity. The aggregator conducts research on electricity prices, contract terms and conditions in order to promote better energy prices for their clients and allows small and medium customers to benefit improved market prices.

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“…Such high prices might be provided to customers on hot summer days if the electric grid is near capacity (Borenstein 2005). Initial field tests of the DR automation systems began in 2003 with a field study in five buildings (Piette et al 2005). Early research consisted of development and testing of communications technology as well as building controls strategies.…”

Section: Background and Previous Researchmentioning

confidence: 99%

Field demonstration of automated demand response for both winter and summer events in large buildings in the Pacific Northwest

2013

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There are growing strains on the electric grid as cooling peaks grow and equipment ages. Increased penetration of renewables on the grid is also straining electricity supply systems and the need for flexible demand is growing. This paper summarizes results of a series of field test of automated demand response systems in large buildings in the Pacific Northwest. The objective of the research was twofold. One objective was to evaluate the use demand response automation technologies. A second objective was to evaluate control strategies that could change the electric load shape in both winter and summer conditions. Winter conditions focused on cold winter mornings, a time when the electric grid is often stressed. The summer test evaluated DR strategies in the afternoon. We found that we could automate both winter and summer control strategies with the open automated demand response communication standard. The buildings were able to provide significant demand response in both winter and summer events.

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Development and evaluation of fully automated demand response in large facilities

Cited by 73 publications

References 4 publications

Scenario modelling: A holistic environmental and energy management method for building operation optimisation

Scenario modelling: A holistic environmental and energy management method for building operation optimisation

Risk Analysis and Behavior of Electricity Portfolio Aggregator

Field demonstration of automated demand response for both winter and summer events in large buildings in the Pacific Northwest

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