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Energy saving and management techniques in an office buiilding

Kotsolakis Spyridon

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Summary

In the European Union, the building sector accounts for 40% of total energy consumption(Energy Statistics - an Overview - Statistics Explained, 2021). In Greece, the percentages are similar, but the consumption increases for buildings constructed before 1980. About 35% of buildings in Greece are older than 50 years old, making them energy-intensive(Απογραφή Κτιρίων 2011 - ELSTAT, 2015.). Due to their age, lack of adequate insulation, and outdated heating and cooling systems, significant amounts of energy are wasted annually.Additionally, climate change and the energy crisis have skyrocketed electricity prices, pushing more households and businesses into energy poverty. As a result, the need for energy efficiency in buildings has become more pressing than ever before.The complex licensing framework discourages many property owners from implementing energy-saving measures, and tenants are unable to take the risk for interventions in buildings they do not own.My thesis titled "Techniques for Energy Efficiency and Management in Office Buildings" aims to highlight energy-saving and management techniques through the installation of modern heating/cooling systems, the use of mechanical ventilation with heat recovery, the installation of LED lighting, and smart building control systems using KNX. With the help of collected data, we intend to demonstrate the energy savings that can be achieved in an old building through electro-mechanical interventions, aiming for nearly zero-energy consumption targets.To achieve this, proper recording of parameters affecting the energy model and accurate analytical design of the building were necessary. The building was modeled using energy analysis software (OpenStudio), and with the help of the data, the model was parameterized to reflect reality. Two different assumptions were made after parameterizing the building.The first assumption pertained to the initial state before the implementation of the interventions to estimate the achieved energy savings. The second assumption involved the optimal scenario of fully insulating the building envelope to record the best possible results that could be achieved.

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