Applying limited-preemptive scheduling to peak load reduction in smart buildings

Davide Caprino; Marco Luigi Della Vedova; Tullio Facchinetti

doi:10.1109/ETFA.2015.7301454

Applying limited-preemptive scheduling to peak load reduction in smart buildings

Davide Caprino
, Marco Luigi Della Vedova
, Tullio Facchinetti

Università Cattolica del Sacro Cuore

University of Pavia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

The coordination of appliances in a smart building to limit the peak load is one of the common objectives of power load management approaches such as the Demand-Side Management (DSM). The DSM, in turn, is an important research challenge in the field of smart energy systems and smart grids. This paper investigates the use of the limited-preemption scheduling approach to the coordination of a set of household appliances in a smart building. This approach is enabled by the application of a real-time scheduling framework to manage the activation of electric loads. The limited-preemption technique aims to reduce the number of stop/restart operations applied to interruptible devices, while ensuring the same performance in terms of peak load reduction. The original contribution of this paper w.r.t. to previous works on real-time scheduling with limited-preemption is to present some peculiar issues related to preemptions of electric loads and to assess suitability and benefits of this approach when applied to interruptible household appliances. Simulated results show the effectiveness of this method.

Original language	English
Title of host publication	2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)
Pages	1-8
Number of pages	8
DOIs	https://doi.org/10.1109/ETFA.2015.7301454
Publication status	Published - 2015
Event	Emerging Technologies Factory Automation (ETFA), 2015 IEEE 20th Conference on - Luxembourg Duration: 8 Sept 2015 → 11 Sept 2015

Conference

Conference	Emerging Technologies Factory Automation (ETFA), 2015 IEEE 20th Conference on
City	Luxembourg
Period	8/9/15 → 11/9/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

DSM
Demand Side Management
Home appliances
Limited Preemption
Load modeling
Peak Load Shaving
Power demand
Processor scheduling
Real-Time Physical Systems
Real-time systems
Smart Buildings
Thermal loading
Timing
building management systems
demand side management
demand-side management
domestic appliances
electric loads
interruptible devices
interruptible household appliances
limited-preemption scheduling approach
peak load reduction
power generation scheduling
power load management approaches
real-time scheduling framework
smart buildings
smart energy systems
smart grids

Access to Document

10.1109/ETFA.2015.7301454

Cite this

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title = "Applying limited-preemptive scheduling to peak load reduction in smart buildings",

abstract = "The coordination of appliances in a smart building to limit the peak load is one of the common objectives of power load management approaches such as the Demand-Side Management (DSM). The DSM, in turn, is an important research challenge in the field of smart energy systems and smart grids. This paper investigates the use of the limited-preemption scheduling approach to the coordination of a set of household appliances in a smart building. This approach is enabled by the application of a real-time scheduling framework to manage the activation of electric loads. The limited-preemption technique aims to reduce the number of stop/restart operations applied to interruptible devices, while ensuring the same performance in terms of peak load reduction. The original contribution of this paper w.r.t. to previous works on real-time scheduling with limited-preemption is to present some peculiar issues related to preemptions of electric loads and to assess suitability and benefits of this approach when applied to interruptible household appliances. Simulated results show the effectiveness of this method.",

keywords = "DSM, Demand Side Management, Home appliances, Limited Preemption, Load modeling, Peak Load Shaving, Power demand, Processor scheduling, Real-Time Physical Systems, Real-time systems, Smart Buildings, Thermal loading, Timing, building management systems, demand side management, demand-side management, domestic appliances, electric loads, interruptible devices, interruptible household appliances, limited-preemption scheduling approach, peak load reduction, power generation scheduling, power load management approaches, real-time scheduling framework, smart buildings, smart energy systems, smart grids, DSM, Demand Side Management, Home appliances, Limited Preemption, Load modeling, Peak Load Shaving, Power demand, Processor scheduling, Real-Time Physical Systems, Real-time systems, Smart Buildings, Thermal loading, Timing, building management systems, demand side management, demand-side management, domestic appliances, electric loads, interruptible devices, interruptible household appliances, limited-preemption scheduling approach, peak load reduction, power generation scheduling, power load management approaches, real-time scheduling framework, smart buildings, smart energy systems, smart grids",

author = "Davide Caprino and \{Della Vedova\}, \{Marco Luigi\} and Tullio Facchinetti",

year = "2015",

doi = "10.1109/ETFA.2015.7301454",

language = "English",

isbn = "978-1-4673-7929-8",

pages = "1--8",

booktitle = "2015 IEEE 20th Conference on Emerging Technologies \& Factory Automation (ETFA)",

note = "Emerging Technologies Factory Automation (ETFA), 2015 IEEE 20th Conference on ; Conference date: 08-09-2015 Through 11-09-2015",

}

TY - GEN

T1 - Applying limited-preemptive scheduling to peak load reduction in smart buildings

AU - Caprino, Davide

AU - Della Vedova, Marco Luigi

AU - Facchinetti, Tullio

PY - 2015

Y1 - 2015

N2 - The coordination of appliances in a smart building to limit the peak load is one of the common objectives of power load management approaches such as the Demand-Side Management (DSM). The DSM, in turn, is an important research challenge in the field of smart energy systems and smart grids. This paper investigates the use of the limited-preemption scheduling approach to the coordination of a set of household appliances in a smart building. This approach is enabled by the application of a real-time scheduling framework to manage the activation of electric loads. The limited-preemption technique aims to reduce the number of stop/restart operations applied to interruptible devices, while ensuring the same performance in terms of peak load reduction. The original contribution of this paper w.r.t. to previous works on real-time scheduling with limited-preemption is to present some peculiar issues related to preemptions of electric loads and to assess suitability and benefits of this approach when applied to interruptible household appliances. Simulated results show the effectiveness of this method.

AB - The coordination of appliances in a smart building to limit the peak load is one of the common objectives of power load management approaches such as the Demand-Side Management (DSM). The DSM, in turn, is an important research challenge in the field of smart energy systems and smart grids. This paper investigates the use of the limited-preemption scheduling approach to the coordination of a set of household appliances in a smart building. This approach is enabled by the application of a real-time scheduling framework to manage the activation of electric loads. The limited-preemption technique aims to reduce the number of stop/restart operations applied to interruptible devices, while ensuring the same performance in terms of peak load reduction. The original contribution of this paper w.r.t. to previous works on real-time scheduling with limited-preemption is to present some peculiar issues related to preemptions of electric loads and to assess suitability and benefits of this approach when applied to interruptible household appliances. Simulated results show the effectiveness of this method.

KW - DSM

KW - Demand Side Management

KW - Home appliances

KW - Limited Preemption

KW - Load modeling

KW - Peak Load Shaving

KW - Power demand

KW - Processor scheduling

KW - Real-Time Physical Systems

KW - Real-time systems

KW - Smart Buildings

KW - Thermal loading

KW - Timing

KW - building management systems

KW - demand side management

KW - demand-side management

KW - domestic appliances

KW - electric loads

KW - interruptible devices

KW - interruptible household appliances

KW - limited-preemption scheduling approach

KW - peak load reduction

KW - power generation scheduling

KW - power load management approaches

KW - real-time scheduling framework

KW - smart buildings

KW - smart energy systems

KW - smart grids

KW - DSM

KW - Demand Side Management

KW - Home appliances

KW - Limited Preemption

KW - Load modeling

KW - Peak Load Shaving

KW - Power demand

KW - Processor scheduling

KW - Real-Time Physical Systems

KW - Real-time systems

KW - Smart Buildings

KW - Thermal loading

KW - Timing

KW - building management systems

KW - demand side management

KW - demand-side management

KW - domestic appliances

KW - electric loads

KW - interruptible devices

KW - interruptible household appliances

KW - limited-preemption scheduling approach

KW - peak load reduction

KW - power generation scheduling

KW - power load management approaches

KW - real-time scheduling framework

KW - smart buildings

KW - smart energy systems

KW - smart grids

UR - http://hdl.handle.net/10807/70515

U2 - 10.1109/ETFA.2015.7301454

DO - 10.1109/ETFA.2015.7301454

M3 - Conference contribution

SN - 978-1-4673-7929-8

SP - 1

EP - 8

BT - 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)

T2 - Emerging Technologies Factory Automation (ETFA), 2015 IEEE 20th Conference on

Y2 - 8 September 2015 through 11 September 2015

ER -

Applying limited-preemptive scheduling to peak load reduction in smart buildings

Abstract

Conference

UN SDGs

Keywords

Access to Document

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