Domestic energy management methodology for optimizing efficiency in Smart Grids

Albert Molderink; Vincent Bakker; M.G.C. Bosman; Johann L. Hurink; Gerardus Johannes Maria Smit

doi:10.1109/PTC.2009.5281849

Domestic energy management methodology for optimizing efficiency in Smart Grids

Albert Molderink
, Vincent Bakker
, M.G.C. Bosman
, Johann L. Hurink
, Gerardus Johannes Maria Smit

Discrete Mathematics and Mathematical Programming

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

150 Citations (Scopus)

1127 Downloads (Pure)

Abstract

Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.

Original language	Undefined
Title of host publication	IEEE Bucharest Power Tech Conference
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Print)	978-1-4244-2234-0
DOIs	https://doi.org/10.1109/PTC.2009.5281849
Publication status	Published - 9 Oct 2009
Event	IEEE Bucharest PowerTech, 2009 - Bucharest, Romania Duration: 28 Jun 2009 → 2 Jul 2009

Publication series

Name
Publisher	IEEE

Conference

Conference	IEEE Bucharest PowerTech, 2009
Period	28/06/09 → 2/07/09
Other	28 June - 2 July 2009

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

METIS-264060
Demand Side Management
IR-68163
EWI-16143
Energy
Micro-generation
Distributed Generation
Smart Grid

Access to Document

10.1109/PTC.2009.5281849

Cite this

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title = "Domestic energy management methodology for optimizing efficiency in Smart Grids",

abstract = "Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.",

keywords = "METIS-264060, Demand Side Management, IR-68163, EWI-16143, Energy, Micro-generation, Distributed Generation, Smart Grid",

author = "Albert Molderink and Vincent Bakker and M.G.C. Bosman and Hurink, \{Johann L.\} and Smit, \{Gerardus Johannes Maria\}",

note = "10.1109/PTC.2009.5281849 ; IEEE Bucharest PowerTech, 2009 ; Conference date: 28-06-2009 Through 02-07-2009",

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doi = "10.1109/PTC.2009.5281849",

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T1 - Domestic energy management methodology for optimizing efficiency in Smart Grids

AU - Molderink, Albert

AU - Bakker, Vincent

AU - Bosman, M.G.C.

AU - Hurink, Johann L.

AU - Smit, Gerardus Johannes Maria

N1 - 10.1109/PTC.2009.5281849

PY - 2009/10/9

Y1 - 2009/10/9

N2 - Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.

AB - Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached.

KW - METIS-264060

KW - Demand Side Management

KW - IR-68163

KW - EWI-16143

KW - Energy

KW - Micro-generation

KW - Distributed Generation

KW - Smart Grid

U2 - 10.1109/PTC.2009.5281849

DO - 10.1109/PTC.2009.5281849

M3 - Conference contribution

SN - 978-1-4244-2234-0

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PB - IEEE

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