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Projects: Projects for Investigator
Reference Number EP/M506709/1
Title Energy Management System incorporating Integrated Retrofit Decision Model (EMSIRDecMo)
Status Completed
Energy Categories Energy Efficiency(Residential and commercial) 80%;
Other Power and Storage Technologies(Electricity transmission and distribution) 20%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 100%
UKERC Cross Cutting Characterisation Sociological economical and environmental impact of energy (Environmental dimensions) 10%;
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 10%;
Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 80%;
Principal Investigator Dr S Nanukuttan
No email address given
Planning, Architecture and Civil Engineering
Queen's University Belfast
Award Type Standard
Funding Source EPSRC
Start Date 01 August 2014
End Date 31 July 2016
Duration 24 months
Total Grant Value £156,862
Industrial Sectors Energy
Region Northern Ireland
Programme Energy : Energy
 
Investigators Principal Investigator Dr S Nanukuttan , Planning, Architecture and Civil Engineering, Queen's University Belfast (99.999%)
  Other Investigator Professor PAM Basheer , Planning, Architecture and Civil Engineering, Queen's University Belfast (0.001%)
Web Site
Objectives
Abstract Real-time data provided by the existing cloud-based EnerGenius Energy Management System ('EMS') includes minute-byminute gas, electricity, electrical circuit, oil consumption/tank level, temperature and relative humidity. EMSIRDecMo will develop and integrate a robust DECISION TOOL for predicting the outcomes of a wide spectrum of energy-related buildingretrofit actions (key outcome 1). The tool will also assess actual outturns against target, supporting early corrective action. Real-time data provided by the existing cloud-based EnerGenius Energy Management System ('EMS') includes minute-byminute gas, electricity, electrical circuit, oil consumption/tank level, temperature and relative humidity. EnerGenius features an excellent User Interface ('UI'), which will now evolve its landlord-centric modules. Initially focused on social landlords, the decision tool will use iterative outcome-based parameterisation overlaid on laboratory-derived data.EMSIRDecMo will also derive a TEMPERATURE DECAY RATE for a property; an outcome-based indicator of overall insulation effectiveness: a key statistic for both landlord and occupant (key outcome 2). Finally, existing sophisticated EnerGenius user control features will be enhanced to support both local and remote DEMAND SIDE MANAGEMENT (DSM) tools to reduce energy costs and improve grid performance (key outcome 3). These DSM tools will use aggregated domestic electrical loads, particularly electrical domestic water heating, to develop income streams from Transport System Operators (TSOs). Load shifting and frequency management will represent distinct revenue streams
Publications (none)
Final Report (none)
Added to Database 30/10/14