OPTIMising the energy USe in cities with
smart decision support system
(OPTIMUS)
ICT Smartcities 2013 FP7-SMARTCITIES-2013
Objective ICT-2013.6.4 Optimising
Energy Systems in Smart Cities
Small or medium scale focused
research project (STREP)
Kick Off Meeting
POLITECNICO DI TORINO
(POLITO)
Vincenzo Corrado
Alfonso Capozzoli
Athens
October 23,24 2013
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
WP2 – Data Sources & Architecture of OPTIMUS DSS
Logical structure
Task 2.2
Design and development
of weather forecasting
data capturing module
Task 2.3
Task 2.6
Design and development
of energy production
capturing module
Task 2.1
Design and architecture
of OPTIMUS DSS
Design and development
of de-centralized data
capturing module
Task 2.5
Task 2.4
Design and development
of energy prices data
capturing module
Design and development
of social media/mining
data capturing module
WP2 – Data Sources & Architecture of OPTIMUS DSS
Timing
Year 1
M1
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 decentralized 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
M2
M3
M4
M5
M6
M7
M8
M9
M10
M11
M12
M13
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
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
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.
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
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.