光照资源富集区太阳能集中供热系统容量配置及热网管径协同设计优化研究

针对常规太阳能供热系统优化设计中太阳集热供热站设计与供热管网设计相互分离，供热管网热传输过程中热损失难以精准计算的问题，建立太阳能集中供热系统容量配置及热网管径协同优化模型，以系统全生命周期成本最小为优化目标，采用遗传算法求解，并通过具体算例与常规优化方法以及工程设计方法的计算结果进行对比分析。结果表明，利用协同优化模型进行太阳能集中供热系统设计，能够有效避免设计系统太阳能保证率偏小以及供热管网比摩阻不满足规范要求的现象。针对具体算例，当太阳能保证率由50%增至100%时，系统最优最低供水温度从60℃降至45℃；随着太阳能保证率的升高，系统单位太阳集热器面积所匹配的储热水箱体积增大，而系统供热管网管径保持不变。

EQUIPMENT CAPACITY AND HEATING NETWORK PIPE DIAMETER OPTIMIZATION OF CENTRALIZED SOLAR HEATING SYSTEM IN AREAS ABUNDANT WITH SOLAR ENERGY RESOURCES

Present studies usually optimize the design of solar heating station and the heating network respectively in the optimization design of centralized solar heating systems. In this study, a joint model to simultaneously optimize the equipment capacity and heating network pipe diameter of the centralized solar heating system, with the optimization objective of minimization of life cycle cost, is established and solved by genetic algorithm. The results are analyzed and compared with the conventional method and engineering method through an exemplified case, which show that1） the joint optimization model could avoid the low solar fraction and high heating pipe resistance that do not meet the requirement; 2） the optimal minimum water supply temperature decreases from 60 ℃ to 45 ℃ as the solar fraction increases from 50% to 100%; 3） with the increase of solar fraction, the ratio of the water tank volume to solar collector area increases, while the pipe diameter of the heating network remains unchanged.