Based On The Energy Efficiency Of The Theory Of Energy Management Systems Management Software Development,

HVAC is widely used in intelligent buildings currently. With the serious consumption of energy resources in the world, the energy consumed in large building is focused on by more and more people. It is of importance to improve energy efficiency and reduce energy consumption in intelligent buildings. At present, building energy saving is studied by a great of corporations and academes. For example, building automation systems (BAS) are widely employed in public intelligent buildings to monitor and control the operation of HVAC, elevators, etc by energy saving strategies, which make progress in energy savings. However, because the building consists of HVAC, elevators, lights, water and so on, it is not perfect that BAS carry out energy saving strategy by detecting and controlling device respectively in whole buildings and lack of systemic concept. Therefore a new automatic system is required to provide the reasonable analysis of building energy consumption and distribute the energy based on monitoring majority of different devices.Based on the efficiency of energy transmission and energy usage, a new method of measurement and evaluation of building energy efficiency is described in this paper. A lot of building energy management strategies are investigated in order to reduce the energy consumption in large public buildings. The probability and the principle of building energy efficiency management systems are systematically introduced based on the energy efficiency theory.Firstly, A new concept of energy efficiency is proposed in detail by analyzing the existent energy management systems. The evaluation of energy efficiency is composed of energy transmission efficiency and energy usage efficiency. And building energy usage efficiency is connected with modes of operation and management. The energy conversation of usage energy is implemented not only by advanced technologies but also by energy distributions.Secondly, An energy management system is designed and applied to intelligent public buildings by combining the data fusion algorithm with data mining technology. Data fusion algorithm which helps to improve the computational precision is used to analyze majority of collected and monitored data, evaluate and assess the objects, and make reasonable decisions. Data mining technology is employed to find the relationship among collected data from sensors. Then a new energy distributing and scheduling algorithm are provided.Finally, The center management software of energy saving system is developed based on Microsoft.NET platform. The management system communicates with data collecting systems distributed in the buildings by Ethernet. And the collected data is moved into database and displayed by report forms and curves to direct the energy distribution.In order to testify the feasibility of the concept and function of the designed system, the energy saving management system is applied to an official building. The tested results show that the energy consumption is obviously reduced by the designed system in the intelligent building. Compared with the existent energy systems, the designed systems not only calculate the energy transmission efficiency but also flexibly calculate the energy usage efficiency to assess the building energy consumption in terms of a whole system. And it proves that the new point on energy efficiency and energy saving is feasible.