Upgrading and energy saving retrofitting of ventilation and air conditioning control system in an underground railway station in Wuhan

 Proposes an upgrading and energy saving retrofitting scheme for ventilation and air conditioning control system based on the intelligent demand-based supply control strategy for improving the control of the ventilation and air conditioning system in a standard underground railway station in Wuhan due to poor automatic control capability, poor indoor environment deviating from design value, and low system energy efficiency etc. The upgraded system can automatically adjust the fan and pump operation frequency and the water valve opening according to the air conditioning load. At the same time, the integrated centralized management platform can perform big data mining for realizing energy efficient optimization based on the historical operation data and real-time operation data of the system. The energy efficiency evaluation results show that the energy efficient operation mode saves 6 248 kWh in one week in the transition season, and the energy saving rate is 37.1% when compared with the existing control mode in the similar outdoor weather conditions. For the cooling season, the energy saving operation mode saves 6 651 kWh in one week, and the energy saving rate is 31.5%.