Authors:
Boris Shishkov
1
;
Martijn Warnier
2
and
Marten van Sinderen
3
Affiliations:
1
IICREST / TBM – Delft University of Technology, Netherlands
;
2
TBM – Delft University of Technology, Netherlands
;
3
IS – University of Twente, Netherlands
Keyword(s):
Green household; Home energy management; Autonomic computing; Context-aware computing
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Information Engineering Methodologies
;
Information Systems Analysis and Specification
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Concepts and Information Integration Tools
;
Modeling Formalisms, Languages and Notations
;
Modeling of Distributed Systems
;
Requirements Analysis And Management
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
Conventional energy sources are becoming scarce and with no (eco-friendly) alternatives deployed at a large scale, it is currently important finding ways to better manage energy consumption. We propose in this paper ICT-related solution directions that concern the energy consumption management within a household. In particular, we consider two underlying objectives, namely: (i) to minimize the energy consumption in households; (ii) to avoid energy consumption peaks for larger residential areas. The proposed solution directions envision a service-oriented approach that is used to integrate ideas from Autonomic Computing and Context-aware Computing: the former influences our considering a selective on/off powering of thermostatically controlled appliances, which allows for energy redistribution over time; the latter influences our using context information to analyze the energy requirements of a household at a particular moment and based on this information, appliances can be powered d
own. Household-internally, this can help adjusting energy consumption as low as it can be with no violation of the preferences of residents. Area-wise, this can help avoiding energy consumption peaks. It is expected thus that such an approach can contribute to the reduction of home energy consumption in an effective and user-friendly way. Our proposed solution directions are not only introduced and motivated but also partially elaborated through a small illustrative example
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