Reshaping the Netload of Buildings with PV Considering Ramping and Carbon

This research modeled and analyzed the total change in CO 2 emissions of a medium sized commercial office building under varying weather conditions, solar energy levels, and subject to optimal control of HVAC systems. Data from previous research provided load profiles for the building under various weather conditions including sunny, cloudy, ramp-up, and ramp-down weather days; these variations included solar photovoltaic (PV) penetration levels of 0, 50, 100, 150, and 200 percent of the building peak load. Changes in the hourly load as a result of additional solar energy or optimization were calculated by comparing the following: a building with no solar energy and no optimization to one with varied levels of solar energy and no optimization, and buildings with the same solar energy level with optimization to those without optimization. The differences in the load profile can be multiplied by hourly summer marginal emission factor estimates to determine the total changes in emissions for each condition. Results showed that the addition of solar panels reduced the amount of CO 2 emissions when compared to the load profile of a building without solar energy. However, when a building utilizes solar energy and is optimized, the amount of CO 2 emissions increases when compared to the load profile of a building with the same amount of solar energy. Though, the decrease in emissions due to solar energy use is consistently more than the increase in emissions due to optimization. Understanding how these emission levels are affected by these variables

Monday Poster Session
Nina Dupes
Related Conference Themes
Built Environment
Electricity Generation