Linked energy data: Enabling monitoring and decision support for improved energy management

Abstract

This paper shows how the European Odysseus project [6] reduces energy/CO2 by improved decision making based on multi-level, semantic, energy configuration/monitoring data fully based on open standards (W3C Linked Data approach / Semantic Web technology) and an open source semantic server (Apache Marmotta) implementing those standards. Keywords-Linked Data, Energy Management, Monitoring I. THE EUROPEAN ODYSSEUS PROJECTOdysseus stands for Open Dynamic System for Saving Energy in Urban Spaces, an ongoing European FP7 project in the scope of "Energy-positive Neighbourhoods". The project coordinator TNO, the largest Dutch R&D institute, is also leading the energy modelling aspects complemented by the domain modelling by partner PRIVA, the leading Dutch energy solution provider for green houses and the built environment. CSTB, a French R&D institute is responsible for the software implementations supported by Global Rosetta, a Spanish IT consultant and Advanticsys an expert in monitoring systems. Dissemination is managed by the Italian ESoCE Net and pilots are performed for the cities of Manchester and Rome.Main goal of the project is ("bad" or non-renewable) energy/CO 2 reduction via awareness/monitoring and tactical/operational decision support that is economically feasible and not compromising peoples functions and comfort levels, in short: a sustainable solution ( fig. 1). Fig. 1. Sustainable solution Reducing energy consumption can be typically accomplished via (in that order) (fig. 2): • Reduction of energy demand • Using renewable energy resources, and • Improve the efficiency of the energy usage Odysseus focusses on the third bullet especially via improved decision making in the design and operational phases on Neighbourhood, Entity/Building and Device level. (fig. 3).Fig. 2.Measure type to reduce energy

FUSE-IT: Enhancing critical site supervision with cross-domain key performance indicators

“…In [3], the authors develop an approach of Linked Data to manage cross-domain data integration (data input come from different sources). The goal is to overcome interoperability problem, to drive the management of scenario according to a Business Process Model [4] and to use real-time scenarios for Complex Event processing [5], [6]. The work of [5] particularly illustrates the potential of cross-domain approaches in scenario modeling demonstrating the benefit of leveraging on different information silos within organizations and demonstrates the benefits of optimization.…”