Building standards groups, including ASHRAE, are focusing on the decarbonization of buildings beyond traditional energy efficiency measures, given the building sector's significant contribution of global GHG emissions. A key concern is the accurate estimation of GHG emissions during building operations. Many rely on annual averaged emission factors (AEFs), but their adequacy in real-time is questioned. This study analyzes GHG emissions from a building's demand-controlled ventilation (DCV)strategy, comparing various methodologies to the benchmark Consumption-based Hourly Emission Factors (CHEFs).A supplementary examination in the research touched upon discrepancies between the ASHRAE Standard 228 values and Canadian government data, specifically regarding Ontario’s AEF. The DCV experiment resulted in an 18% reduction in both predicted energy use and GHG emissions. Traditional models display significant inconsistencies in mirroring real-time emissions, with AEFs misjudging GHG savings by an alarming 61%. Intriguingly, Time of Use (ToU) models, despite providing further granularity, still differ from actual emissions during dynamic operations recording errors of 64% and 56%. This underscores the pressing need for models that are both temporally aligned and adaptable. Future endeavors should concentrate on crafting real-time, predictive emissions models to better mirror building operations' environmental impact.
| File Size : | 1
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, 4.3 MB |
| Note : | This product is unavailable in Russia, Belarus |
| Number of Pages : | 9 |
| Product Code(s) : | D-CH-24-C049 |
| Published : | 2024 |
