Abstract
The emergence of automation and smart power management systems pave to create a better energy management system. Measuring energy savings and potential reduction of peak demand in a building due to adjustment of AHU (Air Handling Unit) setpoint during working hours is critical for ideal demand-side allocations. Since Air Handling Units are one of the major energy consuming system in a building. This has been a great challenge given too many variable physical characteristics and AHU system thermal dynamics in commercial buildings. Based on the building model, developed and authenticate against measured power consumption data from a smart energy meter, this project deals with how energy savings and peak demand reduction potentials of a building are impacted by AHU, setpoint changes during a working period. It is of the utmost necessity to make a prototype for an existing AHU in order to minimize wastage of power in older buildings without any major renovation. This can be achieved by making the existing system into a closed loop system by our model prototype.
Highlights
In order to better manage the energy demand and increase building energy efficiency, and intelligent building should offer a smart approach in order to reduce power usage and work efficiently
Without reducing the size of the equipment and the design, a secondary side voltage of the temperature sensor. Another method is about multi input and multi output (MIMO), that is MIMO approach for analyses and control system designs [2]
The simulation results show that during high outdoor temperature are expected to achieve a predictable percentage of daily energy savings and peak load reduction when Air Handling Unit (AHU) set is taken into consideration
Summary
In order to better manage the energy demand and increase building energy efficiency, and intelligent building should offer a smart approach in order to reduce power usage and work efficiently. Filters are used to filter the air before it is conditioned.Air Handling Unit (AHU) is one of the major power consuming load in a building by reducing the known required task of the AHU system the energy can be saved. This could be achieved by reducing the working hours’ usage and by shutting down the Fan Coil Unit (FCU) when the setpoint has been reached. This prototype consists of a power and energy measurement system which helps to save energy by measuring and storing how much energy consumed per day. We could analyze the data from energy meter to optimize the energy need of the load or we could upgrade/replace with energy efficient load
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