Abstract

Abstract. Concerning energy consumption and monitoring architectures, our goal is to develop a sustainable declarative monitoring architecture for lower energy consumption taking into account the monitoring system itself. Our second is to develop theoretical and practical tools to model, explore and exploit heterogeneous data from various sources in order to understand a phenomenon like energy consumption of smart building vs inhabitants' social behaviours. We focus on a generic model for data acquisition campaigns based on the concept of generic sensor. The concept of generic sensor is centered on acquired data and on their inherent multi-dimensional structure, to support complex domain-specific or field-oriented analysis processes. We consider that a methodological breakthrough may pave the way to deep understanding of voluminous and heterogeneous scientific data sets. Our use case concerns energy efficiency of buildings to understand relationship between physical phenomena and user behaviors. The aim of this paper is to give a presentation of our methodology and results concerning architecture and user-centric tools.

Highlights

  • Over the past decade, popular attention to smart building has increased

  • We focus on a generic model for data acquisition campaigns based on the concept of generic sensor

  • We focus on monitoring system of pervasive environment especially smart buildings

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Summary

Introduction

Popular attention to smart building has increased. Smart building and sustainability are intertwined. 2011 Annual Energy Review of the World Business Council for Sustainable Development announced that in United States, buildings are responsible for 41% of energy consumption of the country. In 2008 energy consumption of buildings in European Union (EU) is 37% of the total energy budget This consumption is higher than the energy consumption of industry and transport which are respectively 28% and 32%. These results should be considered as a warning for the future and show the necessity of monitoring energy consumption of the buildings (EIA, 2011) and (Eichholtz, 2013). WSN environment consists of small, light weight computational devices that are able to communicate over wireless connection channels. These devices are equipped with sensing, processing and communication facilities

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