Energy Efficiency for European Sport Facilities

In this project, it developed an ontology-based framework for energy management in buildings. We divide the functional architecture of a building energy management system into three interconnected modules that include building management system (BMS), benchmarking (BMK), and evaluation & control (ENC) modules. The BMS module is responsible for measuring several useful environmental parameters, as well as real-time energy consumption of the building. The BMK module provides the necessary information required to understand the context and cause of building energy efficiency or inefficiency, and also the information which can further differentiate normal and abnormal energy consumption in different scenarios. The ENC module evaluates all the information coming from BMS and BMK modules, the information is contextualized, and finally the cause of energy inefficiency/abnormality and mitigating control actions are determined. Methodology to design appropriate ontology and inference rules for various modules is also discussed. With the help of actual data obtained from three different rooms in a commercial building in Singapore, a case study is developed to demonstrate the application and advantages of the proposed framework.

SportE2: Energy Efficiency for European Sport Facilities (Ref: 260124, total cost: € 4,664,310)

Principle Investigator: Prof. Haijiang LI

Team members: Dr. Chunfeng Yang; Dr. Ioan Petri; Dr. Baris Yuce, Dr. Bejay Jayan

Official Project Websie: http://www.sporte2.eu/

EU news: http://www.euronews.com/2013/04/08/burn-fat-not-energy/

SportE2 optimization core - watch the video

SportE2 user interfaces - watch the video

SportE2 Product Data Sheet

Relevant Publications:

1. Petri I, Li H, Rezgui Y, Yang C, Yuce B, Jayan B, A HPC based cloud model for real time energy optimization, Enterprise Information Systems, Impact Factor: 9.2 (the world No1 computer science journals in 2012 JCR Science Edition report), 2014 (sponsored by SportE2 EU FP7 project),
2. Petri I, Li H, Rezgui Y, Yang, B. Yuce, B, Jayan B, A Modular optimization model for reducing energy consumption in large scale building facilities, Renewable & Sustainable Energy Reviews, Impact Factor: 6.6 (sponsored by SportE2 EU FP7 project),
3. Yang C, Li H, Rezgui Y, Petri I, Yuce B; Chen B, Jayan B, High Throughput Computing based Distributed Genetic Algorithm for Building Energy Consumption Optimization, Energy and Buildings, IF: 3.2, DOI: 10.1016/j.enbuild.2014.02.053, 2014 (sponsored by SportE2 EU FP7 project),
4. Yuce B, Li H, Rezgui Y, Petri I, Jayan B, Yang C, An Indoor Swimming Pool Case Study: Utilizing Artificial Neural Network Prediction to Achieve Better Energy Saving and Comfort Level, Energy and Buildings, IF: 3.2, 2014 (sponsored by SportE2 EU FP7 project),
5. Jaya B, Li H, Rezgui Y, An ontological approach to intelligent energy management in districts, EG-ICE 2014, Cardiff
6. Petri I, Li H, Rezgui Y, Parallel computing for supporting complex energy simulation and optimisation, Sustainable Design and Manufacturing 2014, Cardiff
7. Ioan Petri, Omer Rana, Javier Diaz-Montes, Mengsong Zou, Tom Beach, Haijiang Li and Yacine Rezgui, In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud, The International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing, Barcelona, Spain, 27-29 August 2014
8. Ioan Petri1, Omer Rana3, Yacine Rezgui1, Haijiang Li, Cloud based Building Data Analytics, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014, USA
9. Li H, Rezgui Y, Holistic approach for optimum building energy management, EG-ICE, 2013, Vienna, Austria
10. Li H, Pieter de Wilde, Yaqub Rafiq, A methodology of using High Power Computing for building energy simulation, EG-ICE 2011, The Netherland, (2011)
11. Rezgui Y, Wilson I, Li H, Promoting sustainability awareness thought energy engaged virtual communities of construction stakeholders, 11th IFIP Conference on Virtual Enterprises, PRO-VE 2010, France, DOI: 10.1007/978-3-642-15961-9_16
12. Li H, Rezgui Y, Miles JC, Wilson I, Low carbon ontology development using information retrieval techniques, 8th European Conference on product and Process Modelling, Cork, Ireland, 2010 , (2010), DOI: 10.1201/b10527-37