BED – Balancing Energy Demands with Buildings

Ausgleich des Energieverbrauchs mit Gebäuden

Due to the increasing use of energy-efficient buildings and modern technologies used in them, primary energy demand steadily shifts from the direct use of fossil primary energy sources for several processes such as heating, to the indirect use by electrical power consumption(for example, compression heat pumps, ventilation). The result is higher base loads and in some cases increased peak loads, something that can also be reflected in the increased energy load of the buildings. This increase signals also the increase of the so-called “Energy-Plus Buildings”.

All the above have as a consequence the steady increase of decentralized energy production. The decentralized energy production is subject to availability and due to the complexity of the distribution and supply networks is only partially predictable.  Therefore, new concepts in the operation management and planning of the building management technology must be found in order to reduce the maximum supply and ensure a stable and high-quality power supply.

This project addresses the prime question regarding to what extend the load profiles can be smoothed (peak shaving) and controlled by means of new control strategies in the thermal and thus the electrical operation of functional buildings. An assessment of the possible energy saving and the associated CO2 reduction is carried out by changing the load profile. The building or a building group is upgraded to an active consumer in the electrical network.

BED - Ausgleich des Energieverbrauchs mit Gebäuden

BED – Balancing Energy Demands with Buildings

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About Lampros Fotiadis

Lampros Fotiadis MEng, MBA, was born in 1980 in Greece. His passion for engineering led him to receive his Engineer’s degree (MEng equivalent) from the Electrical and Computer Engineering school of the Aristotle University (Greece) in 2004. During his studies, he specialised in Electronics and Computer Engineering. In his diploma thesis, he simulated and implemented a multi-zone fuzzy-logic heating system using a real-time reconfigurable System-on-Chip. Pursuing a holistic approach to solving engineering problems, he successfully earned an MBA degree from the University of Macedonia (Greece) in 2006 and his master thesis examined the relation between European environmental policies and the European Energy market. He worked as an expert IT and Physical security consultant for more than 10 years and his expertise include system design and requirement analysis, system integration and product management. His recent areas of interests are Data Science, Machine Learning, Autonomous Driving and Smart Grids. Since February 2017 he is working as project member at the Institute of Computer Technology in the Energy&IT Group, where he is especially contributing know-how as IT and physical security consultant in the areas of smart grids and industry 4.0.
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