Improvement of Thermal Utilization of ORC Low Temperature Flue Gas of Non-azeotropic Mixture Based on Microscopic Technology

  • Rong He, Xinling Ma, Tan Wu et al.
Keywords: Bilevel Programming; non Azeotropic Refrigerant; Organic Rankine Cycle (ORC); Microscopic Techniques


With the increasing pressure of energy shortage and environmental pollution in China, low-temperature industrial waste heat is widely used in building materials, metallurgy, chemical industry and light industry. Converting the heat stored into electricity has become an important means of energy conservation and emission reduction. Aiming at the master-slave relationship between platform parameters and customization parameters in product family planning, a bi-level product family planning model is established. The upper level model carries out the decision of the platform parameters, and the lower level model is used to solve the customization parameters of variant products. It is an effective way to improve energy efficiency and reduce environmental pollution by converting the heat energy of low temperature waste heat into electric energy. Due to the limitation of temperature level, the efficiency of low-temperature waste heat power generation system is congenitally insufficient. It can only be optimized from the aspects of cycle mode, working medium optimization, operation parameters and so on to improve its economy. Scanning near-field optical microscopy (SNOM) and surface plasmon resonance (SPR) were used to study the surface plasmon resonance (SPR) of gold films. A novel Kretschmann type surface plasmon resonance coupling device with unique structure was designed and built. Meanwhile, the preparation method of surface plasmon with thickness gradient was designed. After the upper platform parameters are assigned, each sub-programming can be solved under certain conditions without the platform parameters. The polynomial response surface method is used to fit the optimal value function of the lower level programming, and the bi-level mathematical model is transformed into a single-level model. Genetic algorithm is used to optimize the solution within the constraints to determine the platform parameters and customized parameters. Taking the design optimization of reel family as an example, the validity of the method and model is verified. The lower temperature level of the waste heat restricts the conversion efficiency of the conventional steam power cycle. In this paper, the organic Rankine cycle (ORC) system is used to recover and utilize industrial waste heat. The composition ratio of non-azeotropic mixtures and the operating conditions of ORC are discussed. In this paper, the thermal economy of the system at constant heat source temperature is studied. The influencing factors, optimization variables and the thermal economy of the system under design and off-design conditions are compared.