OptiMAS examines energy flow distribution within buildings and building complexes through model-based data analysis; non-intrusive sensors are attached to hydraulic lines and heat supply systems in order to monitor, analyze and finally optimize existing buildings independent of climatisation systems and their automatisation components.

Motivation and aim

Building systems often run for years in less than optimal operating conditions and thus cause huge operating costs and waste  resources. Except for when a system fails completely (e.g. a room is no longer heated) optimization issues often go unnoticed. Energy services, e.g. energy savings contracting, require both the quantification of increases in efficiency and the identification of optimization options as well as the savings such measures yield. Monitoring the energy flow distribution is expected to optimize a building‘s operation and lower ist primary energy demand.


The detailled economical and spatial as well as time stamped energy flow log in hydraulic networks is one key OptiMAS innovation. It is attained by using rather few non-invasive sensors attached to hydraulic lines and directly attached to heat transfer systems such as radiators or surface heating or cooling elements.´The sensor data analysis is achieved through a model-based approach that aims to completely infere energy flow distribution, which allows a semi-automated localization of any possible optimization potential.

Expected results

The sensor business wants to create the basis for using low-cost non-invasive sensors both for temperature and flow rate metering. The model-based energy flow definition is characterized by requiring very few metering points/sensors on one hand and a detailled quantification on the other. Thermically activated storage mass is registered in order to accommodate any future use of buildings as energy storage carriers for volatile PV or wind energy. The OptiMAS-approach potentially allows registering and localizing optimization potentials of single buildings, compounds and even city quarters and securing top-notch energy and resource efficiency by simply adjusting system paramenters. OptiMAS can be used in a modular manner to determine energy efficiency, to optimize overall energy consumption and to lower systems‘ life cycle costs.

Duration: 10/2016 - 03/2019

Funding agencies, research & cooperation partners

Funding agency

Research partners

Project team and project manager

Project manager

Project team

Christian Seidl

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