Minimizing the Energy Consumption for Heating: Airforced Systems OÜ Case Study
Name
Martin Posselt Munck
Abstract
As the share of heating, ventilation and air condition (HVAC) in total energy consumption is high and ever-increasing, it is important to try to reduce the energy consumption of these systems. While much of the energy efficiency can be attained through insulating housing or creating more efficient HVAC systems, control systems hold potential for savings as well.
The process of creating a proof of concept model for HVAC optimization is described, as well as the system's preliminary results. By combining local weather forecasts with logged historical data, it is possible to selectively avoid cooling in the afternoon. By preparing for cold nights, it is possible to postpone or fully avoid spending energy on heating.
The process of creating a proof of concept model for HVAC optimization is described, as well as the system's preliminary results. By combining local weather forecasts with logged historical data, it is possible to selectively avoid cooling in the afternoon. By preparing for cold nights, it is possible to postpone or fully avoid spending energy on heating.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Chinmaya Kumar Dehury, PhD
Defence year
2021