分布式热电联产系统装机容量及运行策略分析

A distributed combined heating and power (CHP) system is an advanced energy system which is close to end users. The selection of system configuration, capacity and operation strategy has an important impact on energy saving, environmental protection and economics of the system. This research took a building as an example and analyzed the characteristics of the thermal and electric loads using real time data. At the same time, two different configurations were constructed for the CHP system using respectively a micro-turbine and an internal-combustion engine as the power source, and corresponding variable-condition energy balance models were established. Furthermore, the influence of the power unit capacity on the economics, energy saving and environmental protection of the office building was discussed under different operation strategies, such as Following Thermal Load and Following Electric Load, operating under varying operating conditions and rated operation, with and without heat storage, 24-hour continuous operation and early rising and late stopping. Meanwhile, a multi-objective evaluation index was used to evaluate the benefits of the system under different installed capacities and operation strategies, and a chaotic particle swarm optimization algorithm was introduced to find the maximum comprehensive benefits of the system. The results showed that the economic, energy-saving and environmental protection performance of the office building with the CHP system was better than the traditional single function model, and the enhancements were 22.85%, 17.45% and 25.06%, respectively.