Home » Solutions: DSS

The OPTIMUS package consists of a number of ICT tools, in order to provide an integrated solution for energy managers. Click one to find out more.

OPTIMUS DSS is the core element of OPTIMUS package. It aims to support energy managers, to optimise the energy performance of buildings, by applying short-term action plans, suggested by a Decision Support System (DSS).

 

DSS

The developed system brings together the following components:

 

Data capturing modules
The modules responsible for collecting data from five different sources: weather forecasts, de-centralized sensor-based, occupants’ feedback, energy prices and renewable energy production.
Semantic framework
Collected data is integrated under the semantic framework and sent to the DSS engine for further processing, using semantic web technologies. 
DSS engine 
The part of the software responsible for applying inference rules (for more detail see factsheet here) and energy models and forecasting variables in order to suggest possible action plans to the users. 
The DSS interface
The interface is the dashboard that the city and/or building energy manager uses to communicate with the OPTIMUS DSS. For more detail, see factsheet here.
 

The Optimus DSS offers the following Action Plans.


Occupancy Action Plan

 

Scheduling and management of the occupancy: It aims at the reduction of the building energy consumption by changing the location of building occupants. This way, a minimum number of thermal zones can be used and the consumption can be reduced by turning off the heating/cooling system in the unoccupied zones.

 

Set Point Action Plan

 

Scheduling the set-point temperature: Based on the application of two inference rules, this Action Plan is aimed to adjust the indoor temperature set-point by taking into consideration, respectively, thermal comfort as submitted by the building users (using the TCV web application), and the adaptive comfort concept. The target is to optimize energy use, while maintaining comfort levels in accepted ranges.

 

Heating Action Plan

 

Scheduling the ON/OFF of the heating system: Based on three inference rules, it aims at the optimization of the boost time of the heating system taking into account the forecasting of the indoor air temperature and the occupancy levels of the building.

 

PV Maintenance Action Plan

 

Scheduling the photovoltaic (PV) maintenance: Scheduling the photovoltaic (PV) maintenance. It aims at the detection of the need for maintenance of the PV system, alerting the user to check if corrective actions are necessary. This facilitates the identification of PV malfunctioning.

 

PV Buy/Sell Action Plan

 

Scheduling the sale/consumption of the electricity produced through the PV system: Optimization of selling/self-consumption of electricity produced by a PV system considering different scenarios of energy market (green strategy, finance strategy and peak strategy).

 

Energy Cost Optimization Action Plan

 

Scheduling the operation of heating and electricity systems towards energy cost optimization: The main goal of the action plan is to schedule the operation of the thermal and electricity systems (PV production, CHP systems, electricity storage, the Grid and the boilers) of an energy network towards energy cost reduction.

 

Air-side Economizer Action Plan

 

Management of the air side Economizer: It involves scheduling of the amount of outdoor air to be used for cooling the indoor environment, in order to reduce or eliminate the need for mechanical cooling when favorable conditions occur, using air-side economizer technology.

 

 

For more information on the DSS, the prediction models, and the DSS interface, please see our factsheets.

To make an inquiry about applying the DSS in your premises, feel free to contact us.