Research

Topic: Energy Intelligence

Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business activities can be understood, changed, and reinvented to better support sustainable practices. Significant technical challenges exist in terms of information management, cross-domain data integration, leveraging real-time data, and assisting users to interpret the information to optimize energy usage. Under this topic, we research architectural approaches to overcome these challenges using a Dataspace, Linked Data, and Complex Event Processing.

Topic: Linking Building Data

Within the operational phase buildings are now producing more data than ever before, from energy usage, utility information, occupancy patterns, weather data, etc. In order to manage a building holistically it is important to use knowledge from across these information sources. However, many barriers exist to their interoperability and there is little interaction between these islands of information. Under this topic we investigate linking data from different sources using Linked Data Technology. Linked data technology leverages the existing open protocols and W3C standards of the Web architecture for sharing structured data on the web. Linked data can be used as an enabling technology for the management of building data services. Our objective is to create an integrated well-connected graph of relevant information for managing a building.

Topic: Data Centre Energy Efficiency

Power usage within a Data Center (DC) goes beyond the direct power needs of servers to include networking, cooling, lighting and facilities manage- ment. Data centers range from closet-sized operations, drawing a few kilowatts (kW), to mega-sized facilities, consuming tens of megawatts (MWs). In almost all cases, independent of size there exists significant potential to improve both the economic and environmental bottom line of data centers by improve their energy efficiency, however a number of challenges exist. In this context, we investigate applicable maturity models, which offer comprehensive value-based method for organizing, evaluating, planning, and improving the energy efficiency of mature data centers.

Topic: Linked dataspace for Energy Intelligence (LEI)

Under this topic, we investigate the use of technologies such as dataspace, linked data and complex event processing to meet the challenges for real-time holistic enterprise energy management. The realization of a dataspace using linked data as the enabling technology creates a Linked Dataspace that supports the co- existence of heterogeneous data with an incremental approach to interoperability using web-based standards. The inclusion of Complex Event Processing with Semantic Sensor Networks provides support for real-time processing of dynamic and background data for energy situation awareness. These technologies have been combined within a single architecture called the Linked dataspace for Energy Intelligence (LEI) that can be used to build energy management applications.

Topic: Sustainable ICT Maturity

Sustainable ICT (SICT) can develop solutions that offer benefits both internally in IT and across the extended enterprise. However, because the field is new and evolving, few guidelines and best practices are available. There is a need to improve the SICT behaviours, practices and processes within organizations to deliver greater value from SICT. To address the issue, a consortium of leading organizations from industry, the nonprofits sector, and academia decided to develop a framework for systematically assessing and improving SICT capabilities.
The SICT Capability Maturity Framework (SICT-CMF) gives organizations a vital tool to manage their sustainability capability. The framework provides a comprehensive value-based model for organizing, evaluating, planning, and managing SICT capabilities. Using the framework, organizations can assess the maturity of their SICT capability and systematically improve capabilities in a measurable way to meet the sustainability objectives including reducing environmental impacts and increasing profitability. The core of SICT-CMF is a maturity model for SICT which provides a management system with associated improvement roadmaps that guide senior IT and business management in selecting strategies to continuously improve, develop, and manage the sustainable IT capability.

Topic: Linked Water Data for Water Information Management

The management of water consumption is hindered by low general awareness and absence of precise historical and contextual information. Effective and efficiency management of water resources requires a holistic approach considering all the stages of water usage. A decision support tool for water management services requires access to a number of different data domains and different data providers. The design of next-generation water information management systems poses significant technical challenges in terms of information management, integration of heterogeneous data, and real-time processing of dynamic data. Linked Data is a set of web technologies that enables integration of different data sources. Under this topic, we investigate the usage of Linked Data technologies in the Water Management domain.