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ICT Smartcities 2013 FP7-SMARTCITIES-2013 Kick Off Meeting Athens October 23,24 2013 OPTIMising the energy USe in cities with smart decision support system.

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Presentation on theme: "ICT Smartcities 2013 FP7-SMARTCITIES-2013 Kick Off Meeting Athens October 23,24 2013 OPTIMising the energy USe in cities with smart decision support system."— Presentation transcript:

1 ICT Smartcities 2013 FP7-SMARTCITIES-2013 Kick Off Meeting Athens October 23,24 2013 OPTIMising the energy USe in cities with smart decision support system (OPTIMUS) Objective ICT-2013.6.4 Optimising Energy Systems in Smart Cities Small or medium scale focused research project (STREP) POLITECNICO DI TORINO (POLITO) Vincenzo Corrado Alfonso Capozzoli

2 WP2 – Data Sources & Architecture of OPTIMUS DSS Objectives -Design the overall architecture and features of the OPTIMUS DSS -Define the data sources -Develop the respective software modules for the data capturing and modelling - weather forecasting module - de-centralized sensor-based module - social media/mining module - energy prices module - renewable energy production module

3 WP2 – Data Sources & Architecture of OPTIMUS DSS Logical structure Task 2.1 Design and architecture of OPTIMUS DSS Task 2.6 Design and development of energy production capturing module Task 2.2 Design and development of weather forecasting data capturing module Task 2.3 Design and development of de-centralized data capturing module Task 2.4 Design and development of social media/mining data capturing module Task 2.5 Design and development of energy prices data capturing module

4 WP2 – Data Sources & Architecture of OPTIMUS DSS Timing Year 1 M1M2M3M4M5M6M7M8M9M10M11M12M13 WP2 Data Sources & Architecture of OPTIMUS DSS Task 2.1 Design & Architecture of OPTIMUS DSS Task 2.2 Design and development of weather forecasting data capturing module Task 2.3 Design and development of de- centralized data capturing module Task 2.4 Design and development of social media/mining data capturing module Task 2.5 Design and development of energy prices data capturing module Task 2.6 Design and development of energy production data capturing module

5 WP2 – Data Sources & Architecture of OPTIMUS DSS Actions -Task 2.1: Design and architecture of OPTIMUS DSS – POLITO -Task 2.2: Design and development of weather forecasting data capturing module – D’APOLLONIA -Task 2.3: Design and development of de-centralized data capturing module – POLITO -Task 2.4: Design and development of social media/mining data capturing module – NTUA -Task 2.5: Design and development of energy prices data capturing module – TECNALIA -Task 2.6: Design and development of energy production data capturing module – LA SALLE

6 WP2 – Data Sources & Architecture of OPTIMUS DSS Task 2.1: Design and architecture of OPTIMUS DSS The purpose of this Task is to define the overall architecture of OPTIMUS DSS It includes: -The DSS architecture design -The development of procedures for the analysis of the data monitored and correlation among these data -The development of optimization criteria to be used for energy demand forecasting - short-term energy load forecasting - long-term energy demand forecasting

7 WP2 Tasks Description Task 2.2 – Design and development of weather forecasting data capturing module Task Leader: D’Appolonia Description: Assessment of the most reliable weather forecasting platforms. Identification of the set of possible sources that will be used for the module. Design of the module based on:  cross check between the sources, spotting the most likely weather condition hour by hour with the highest degree of accuracy;  a database of historical trends for comparison with real time weather forecasting;  daily updates recording the actual weather data;  possibility to make accurate models of energy demand and of the consequent behaviors of the energy consumers, for the coming days. Deliverables: D2.2 Weather forecasting data capturing module, due at M13.

8 Static data -building dimensions; -building materials; -building destination; -occupancy; -appliances consuming electricity; -instrumentations. Dynamic data (from sensors) -indoor temperature from thermostat; -indoor humidity from psychrometers; -electricity consumption from counters; -natural gas consumption from counters; -thermal flows from calorimeters or other flow meters; -occupancy from presence detectors. WP2 – Data Sources & Architecture of OPTIMUS DSS Task 2.3: De-centralized data capturing module The purpose of this Task is to develop the module for the capture of building data


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