Demand side management using setpoint control and pv systems

Raza, Syed Mohammad Meesam
The turn of the 21st century has seen a positive change in the attitude towards sustainable energy. The focus on awareness and implementation of renewable energy has improved. However, it is also important to study the energy usage. Demand Side Management (DSM) and Demand Response (DR) are not new ideas. They were introduced during the 1970s when the world was rife with energy crises. However, with population growth, increased dependence on electricity and introduction of renewable energy, these ideas are more relevant than ever. One of the biggest problems energy systems face is their efficiency. DSM and DR provide a viable solution to increase energy efficiency by reducing the peak demand and improving the demand and supply. HVAC systems generally prove to be the highest consumers of electricity. In this study, the efficiency of cooling systems is improved by setting the setpoint temperature based on an adaptive thermal comfort model in Middle East Technical University Northern Cyprus Campus and its effect on the demand is studied. The cases considered are based on the setpoint being controlled at all times, setpoint control on a schedule, setpoint control when demand peaks and setpoint control based on when demand exceeds an aggregate forecasted demand. Furthermore, this is employed in conjunction with PV systems with net metering to shift loads to periods with lower demand from the grid to improve grid stability. It is found that when setpoint is controlled at all times, energy consumption from cooling systems is cumulatively reduced by 55.7% for May, July, September and October with a minimum peak demand decrease of 1.55% for October, while when setpoint control is employed only when demand rises above the aggregate forecasted demand, the energy consumption by cooling systems is reduced by 30.3% cumulatively for May, July, September and October with a minimum peak demand decrease of 1.55% for October. Furthermore, with the cooling system improvements and PV system load shift, the peak demand reduction increases to 10.46% for October. Moreover, for winters, which have a comparatively higher rise in peaks, due to lower demand during the day, load shifting using PV decreases the peak demand by 25%, 18% and 14% for November, December and January respectively.


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Citation Formats
S. M. M. Raza, “Demand side management using setpoint control and pv systems,” M.S. - Master of Science, Middle East Technical University, 2021.