Implementation of demand-side management in the building end-use sector can be achieved by different measures: building envelope retrofit, equipment efficiency improvements, system control optimisation and demand response schemes. Although there have been several successful roll-outs of demand response schemes in buildings to date, most have focused on the management of electrical end-use loads. Recently, there has been a recognition by energy policy makers for the need for better energy flexibility analysis methodologies in the building end-use sector, i.e., the ability to optimise electrical demand response measures in conjunction with other energy vectors (e.g., gas, district systems), hybrid energy conversion systems (e.g., combined heat and power (CHP), tri-generation, hybrid systems, etc.) and thermal storage.
In particular, where multi-energy options are available and hybrid energy conversion systems are utilised, greater energy flexibility opportunities will exist, with an enhanced ability to shape the demand while also reducing user impact. The overall aim of this WP is to develop real-time flexibility and optimisation strategies for improved demand-side utilisation of integrated electricity, gas and district systems in commercial/institutional buildings.
Towards Standardising Market-Independent Indicators for Quantifying Energy Flexibility in Buildings
2020; Energy and Buildings; Anjukan Kathirgamanathan, Thibault Péan, Kun Zhang, Mattia De Rosa, Jaume Salom, Michaël Kummert, Donal P. Finn
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
2020; BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Japan; A Kathirgamanathan, K Twardowski, E Mangina, DP Finn
Optimising Supply Chain Logistics System Using Data Analytics Techniques
2019; INTSYS 2019 – the 3rd EAI International Conference on Intelligent Transport Systems, Portugal; Eleni Mangina, Pranav Kashyap Narasimhan, Mohammad Saffari, and Ilias Vlachos
Feature Assessment in Data-driven Models for Unlocking Building Energy Flexibility
2019; 16th IBPSA International Conference & Exhibition Building Simulation 2019, Italy; Kathirgamanathan A, De Rosa M, Mangina E, Finn D.P
Application of Intelligent Algorithms for Residential Building Energy Performance Rating Prediction
2019; 16th IBPSA International Conference & Exhibition Building Simulation 2019, Italy; Usman Ali, Mohammad Haris Shamsi, Fawaz Alshehri, Eleni Mangina and James O’Donnell
Quantification and characterization of energy flexibility in the residential building sector
2019; 16th IBPSA International Conference & Exhibition Building Simulation 2019, Italy; A. Bampoulas, M. Saffari, F. Pallonetto, M. de Rosa, E. Mangina, D. P. Finn
Economic assessment of flexibility offered by an optimally controlled hybrid heat pump generator: a case study for residential building
2018; ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association, Italy; D'Ettorre F, de Rosa M, Conti P, Schito E, Testi D, Finn D.
Unlocking Energy Flexibility in Commercial Buildings through Data-Driven Techniques
2018; Irish Postgraduate Research Conference, Ireland; Anjukan Kathirgamanathan, Donal Finn
Aggregation of Energy Flexibility of Commercial Buildings
2018; eSIM 2018, IBPSA Canada, Canada; Kathirgamanathan, A., De Rosa, M., Mangina, E and Finn, D. P.
Flexibility assessment of a combined heat-power system (CHP) with energy storage under real-time energy price market framework
2018; Thermal Science and Engineering Progress; De Rosa, M., Carragher, M., Finn, D.P.
Data-Driven Predictive Control for Commercial Buildings with Multiple Energy Flexibility Sources
2020; 2020 Building Performance Analysis Simbuild Virtual Conference, United States of America; Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina and Donal P. Finn
Towards Robustness of Data-Driven Predictive Control for Building Energy Flexibility Applications
2020; Building Simulation and Optimization 2020, United Kingdom (excluding Northern Ireland); Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina and Donal P. Finn
On the assessment and control optimisation of demand response programs in residential buildings
2020; Renewable and Sustainable Energy Reviews; Pallonetto F, De Rosa M, D’Ettorre F, Finn D
Mapping the energy flexibility potential of single buildings equipped with optimally-controlled heat pump, gas boilers and thermal storage
2019; Sustainable Cities and Society; D'Ettorre F, De Rosa M, Conti P, Testi D, Finn D
Multi-objective optimisation of an active distribution system using normalised normal constraint method
2019; IEEE PowerTech 2019, Italy; M. Saffari, M.S. Misaghian, M. Kia, V. Vahidinasab, D. Flynn, M. Lofti, M. Shafie-khah, J.P.S. Catalão
Investment analysis of gas-turbine combined heat and power systems for commercial buildings under different climatic and market scenarios
2019; Energy Conversion and Management; M. Carragher, M. De Rosa, A. Kathirgamanathan, D.P. Finn
Next Generation Building and District Metrics to Enable Energy Systems Integration
2016; CLIMA 2016: 12th REHVA World Congress, Denmark; Beagon, P., Warren, J., Finn, D. and O'Donnell, J.
Insights Series Paper 6: Simulation and data-driven tools for buildings energy optimisation
2020; Insights Series; Mohammad Saffari et al