Enhanced District Heating and DER system models are necessary to produce building and district level predictions (Thermal/electric demand, fuel consumption, equipment response), and enable the implementation of energy efficiency-driven or demand response-driven operational strategies. For this purpose, and to be run by MOEEBIUS components (Building Energy Performance Simulation tool, District Dynamic Assessment Engine), several DER models have been developed, which can be divided in load, generation, storage and district heating models. 

The several MOEEBIUS components and complex framework require a data model that enables data management/exchange between all components included in the energy system. With this objective, the MOEEBIUS Common Information Model (CIM) is defined.

MOEEBIUS addresses occupant profiling and occupant’s behaviour as a fundamental factor for the optimization of energy performance at building and district level, through the implementation of a framework that both addresses occupant preferences and is adaptive to the operational patterns of the monitoring area.

The key concept of the MOEEBIUS Living Lab is to turn users from being traditionally considered as merely passive subjects to whom a new product or service is simply proposed, into active players contributing to the co-creation on the development of the proposed MOEEBIUS system. Therefore, several technical and dissemination activities have been carried out in order to implement MOEEBIUS in pilot sites and promote these activities among current and potential stakeholders. 

The MOEEBIUS project consortium met in Belgrade, Serbia (9th-11th May 2017). The meeting was organized by “Beogradske elektrane” (BEOELEK) which is a Public Utility Company responsible for supplying heating and domestic hot water to 300,000 apartments and more than 8,200 office/commercial buildings in Belgrade. BEOELEK provides the MOEEBIUS project with a pilot site for testing the MOEEBIUS Holistic Energy Optimization Framework. Moreover, the company will leverage the MOEEBIUS system in order to contribute to improve prediction quality for the performance of real buildings, and to optimize services offered to customers.

How MOEEBIUS Indoor Air Quality models are designed? What is the most important advantage of MOEEBIUS district heating and DER system models which are necessary to produce building and district level predictions and enable the implementation of energy efficiency-driven or demand response-driven operational strategies? Please read the latest public reports! They include many interesting information not only about our models and technical innovations, but also about buildings in which the most promising MOEEBIUS solutions are tested.