Spinning Reserve from Hotel Load Response

Kirby, Brendan; Kueck, J.D.; Laughner, Theo; Morris, Keith

doi:10.1016/j.tej.2008.11.004

Cited by 41 publications

(26 citation statements)

References 2 publications

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“…The increasing penetration of variable and uncertain renewable generation has led to a greater need for AS and flexibility products [38] and certain types of DR are well-placed to provide some of these services [39,40]. Coupled with this is the fact that AS are, in general, difficult to provide and thus the prices paid for AS provision can be considerable.…”

Section: Ancillary Servicesmentioning

confidence: 99%

Challenges and barriers to demand response deployment and evaluation

2015

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Section: Ancillary Servicesmentioning

confidence: 99%

Challenges and barriers to demand response deployment and evaluation

2015

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“…The status of power balance is usually represented by the power frequency of the grid. Therefore, the power management for power imbalance is the process of maintaining a stable power frequency (e.g., 50 or 60 Hz; Kirby et al 2008). Operating reserves are the essential backups for recovering the frequency drop.…”

Section: Power Management For Power Imbalance Issuementioning

confidence: 99%

Building power demand response methods toward smart grid

2014

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Smart grid has been drawing attention particularly when renewable generations are integrated. In order to ensure high power reliability and energy efficiency in an electrical grid, research and application has been conducted at power supply side to solve the grid critical issues: peak load and power imbalance. However, as the major end-users at power demand side, buildings can also play a significant and cost-effective role by making use of their power demand responses. Different demand response programs (e.g., timeand incentive-based) have been developed and applied for encouraging the end-users to change their energy usage behaviors expected by the grid. Generally, buildings are able to limit and/or shift the power demands according to their own considerations under the specific incentives. A comprehensive review on the building power demand response methods is still missing, although research and application has been investigated and conducted on power demand aspects concerning the building system configuration and the control strategies of power demand optimization. This article, therefore, presents a comprehensive review on the strategies, impacts, and benefits of building power demand response in a grid to systematically evaluate and make better use of their demand response potentials. The possibility of developing proper building power demand response strategies for offline and online applications of the smart grid is also discussed.

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“…Due to strict requirement in terms of response time and availability period, provision of grid support service by buildings need control strategies that are speedy with very low information latency [4], [6]. Droop based frequency control for various load groups may thus be preferable; this approach uses net frequency deviations from established reference to distribute load changes across systems in stable manner [7].…”

Section: Responsivenessmentioning

confidence: 99%

“…In summer which is the focus period of the study up to 90% of the building energy is attributed to electricity for most countries in Central Europe [2], [3]. There are five common categories of services that buildings may offer to the grid [4]: energy efficiency, price response, peak shaving, reliability response or regulation response. Reliability and regulation response services from building based loads is a fairly recent conceptualisation and 1 Smart electrical grids are defined as upgradable electricity network with enabled multi-directional communication between sources, loads and components often occurring at low voltage regions [1] is still under experimentation; in addition, they are associated with obstacles in form of legislative barriers and enormous number of generation sources required to deliver meaningful service [5].…”

Section: Introductionmentioning

confidence: 99%