Optimization of heating control in existing buildings
Authors
Danes, Gica ; Zabusova, Diana ; Milenkova, Kremena Bozhidarova
Term
4. Term
Education
Publication year
2017
Pages
91
Abstract
Denne masterafhandling undersøger, hvordan varmekontrol i eksisterende bygninger kan optimeres for at reducere energiforbrug og samtidig opretholde et acceptabelt indeklima. Arbejdet fokuserer på styringsstrategier som vejrkompensering og nat-sænkningsdrift, betydningen af overdimensionerede radiatorer samt balancering og pumpedrift. Metoden omfatter en teknisk gennemgang af kontrol- og overvågningsudstyr (bl.a. flowmålere, temperaturfølere, termostatiske radiatorventiler og cirkulationspumper), analyse af forskellige kontroltilstande og en detaljeret casestudie i en skolebygning. I casestudiet er der gennemført en målekampagne med energimålere og indeklimamålere samt programmerbare termostater, efterfulgt af dataanalyse af termisk komfort og energiforbrug (herunder TRV-indstillinger, sammenligning af frem- og returløbstemperaturer, natligt flow, ventilutætheder og uopdaget flow). Bygningen er desuden modelleret og kalibreret i IDA ICE for at vurdere effekten af forskellige styringsstrategier og estimere potentielle energibesparelser. Afhandlingen diskuterer potentialer og driftsmæssige udfordringer ved optimeret varmekontrol; konkrete kvantitative resultater fremgår dog ikke af det gengivne uddrag.
This master’s thesis examines how heating control in existing buildings can be optimized to reduce energy use while maintaining acceptable indoor comfort. The work focuses on control strategies such as weather compensation and night setback, the impact of oversized radiators, and issues of system balancing and pump operation. The methodology includes a technical review of control and monitoring devices (e.g., flow meters, temperature sensors, thermostatic radiator valves, and circulation pumps), analysis of control modes, and a detailed case study in a school building. The case study features a measurement campaign with energy and indoor climate meters and programmable thermostats, followed by analysis of thermal comfort and energy consumption (including TRV set points, supply/return temperature comparisons, nighttime flow, valve leakage, and undetected flow). The building is also modeled and calibrated in IDA ICE to assess the effects of different control strategies and estimate potential energy savings. The thesis discusses opportunities and operational challenges of optimized heating control; specific quantitative findings are not available in the provided excerpt.
[This summary has been generated with the help of AI directly from the project (PDF)]
Keywords
Documents