Ambient Intelligence based monitoring and energy efficiency optimisation system

Juhani Heilala; Krzysztof Klobut; Tapio Salonen; Pekka Siltanen; Reino Ruusu; Ljubisa Urosevic; Philip Reimer; Alberto Arminjo; Mikel Sorli; Tomaz Fatur; Ziga Gantar; Andreas Jung

doi:10.1109/ISAM.2011.5942349

Ambient Intelligence based monitoring and energy efficiency optimisation system

Juhani Heilala
, Krzysztof Klobut
, Tapio Salonen
, Pekka Siltanen
, Reino Ruusu
, Ljubisa Urosevic
, Philip Reimer
, Alberto Arminjo
, Mikel Sorli
, Tomaz Fatur
, Ziga Gantar
, Andreas Jung

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

14 Citations (Scopus)

Abstract

The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (on-line) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

Original language	English
Title of host publication	Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	6
ISBN (Electronic)	978-1-61284-343-8 , 978-1-61284-343-8
ISBN (Print)	978-1-61284-342-1
DOIs	https://doi.org/10.1109/ISAM.2011.5942349
Publication status	Published - 2011
MoE publication type	A4 Article in a conference publication
Event	2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 - Tampere, Finland Duration: 25 May 2011 → 27 May 2011

Conference

Conference	2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
Abbreviated title	ISAM 2011
Country/Territory	Finland
City	Tampere
Period	25/05/11 → 27/05/11

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

Keywords

energy user paramters
energy efficiency
manufacturing process

Access to Document

10.1109/ISAM.2011.5942349

Cite this

Heilala, J., Klobut, K., Salonen, T., Siltanen, P., Ruusu, R., Urosevic, L., Reimer, P., Arminjo, A., Sorli, M., Fatur, T., Gantar, Z., & Jung, A. (2011). Ambient Intelligence based monitoring and energy efficiency optimisation system. In Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISAM.2011.5942349

@inproceedings{45ad3c06809a40a19bda4f9ce20a0213,

title = "Ambient Intelligence based monitoring and energy efficiency optimisation system",

abstract = "The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (on-line) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.",

keywords = "energy user paramters, energy efficiency, manufacturing process",

author = "Juhani Heilala and Krzysztof Klobut and Tapio Salonen and Pekka Siltanen and Reino Ruusu and Ljubisa Urosevic and Philip Reimer and Alberto Arminjo and Mikel Sorli and Tomaz Fatur and Ziga Gantar and Andreas Jung",

note = "Project: 23620 ; 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, ISAM 2011 ; Conference date: 25-05-2011 Through 27-05-2011",

year = "2011",

doi = "10.1109/ISAM.2011.5942349",

language = "English",

isbn = "978-1-61284-342-1 ",

booktitle = "Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Heilala, J, Klobut, K, Salonen, T, Siltanen, P, Ruusu, R, Urosevic, L, Reimer, P, Arminjo, A, Sorli, M, Fatur, T, Gantar, Z & Jung, A 2011, Ambient Intelligence based monitoring and energy efficiency optimisation system. in Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers, 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011, Tampere, Finland, 25/05/11. https://doi.org/10.1109/ISAM.2011.5942349

Ambient Intelligence based monitoring and energy efficiency optimisation system. / Heilala, Juhani; Klobut, Krzysztof; Salonen, Tapio et al.
Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium . IEEE Institute of Electrical and Electronic Engineers, 2011.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Ambient Intelligence based monitoring and energy efficiency optimisation system

AU - Heilala, Juhani

AU - Klobut, Krzysztof

AU - Salonen, Tapio

AU - Siltanen, Pekka

AU - Ruusu, Reino

AU - Urosevic, Ljubisa

AU - Reimer, Philip

AU - Arminjo, Alberto

AU - Sorli, Mikel

AU - Fatur, Tomaz

AU - Gantar, Ziga

AU - Jung, Andreas

N1 - Project: 23620

PY - 2011

Y1 - 2011

N2 - The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (on-line) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

AB - The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (on-line) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.

KW - energy user paramters

KW - energy efficiency

KW - manufacturing process

U2 - 10.1109/ISAM.2011.5942349

DO - 10.1109/ISAM.2011.5942349

M3 - Conference article in proceedings

SN - 978-1-61284-342-1

BT - Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011

Y2 - 25 May 2011 through 27 May 2011

ER -

Ambient Intelligence based monitoring and energy efficiency optimisation system

Abstract

Conference

UN SDGs

Keywords

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