A Heat Exchanging Characteristics of Organic Rankine Cycle for Waste Heat Recovery of Coal Fired Power Plant | Zendy

Jeong Jinhee | Zendy; Seokyeon Im | Zendy; Beomjoo Kim | Zendy; Sangseok Yu | Zendy

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A Heat Exchanging Characteristics of Organic Rankine Cycle for Waste Heat Recovery of Coal Fired Power Plant

Author(s) -

Jeong Jinhee,

Seokyeon Im,

Beomjoo Kim,

Sangseok Yu

Publication year - 2015

Publication title -

journal of hydrogen and new energy

Language(s) - English

Resource type - Journals

eISSN - 2288-7407

pISSN - 1738-7264

DOI - 10.7316/khnes.2015.26.1.064

Subject(s) - organic rankine cycle , condenser (optics) , waste heat , rankine cycle , waste heat recovery unit , heat exchanger , waste management , environmental science , heat recovery ventilation , power station , combined cycle , heat pump , process engineering , turbine , nuclear engineering , engineering , thermodynamics , mechanical engineering , power (physics) , electrical engineering , physics , light source , optics

4 School of Mechanical Engineering, Chungnam Nat'l Univ. 79, Daehangno, Yuseong-gu, Daejeon, 305-764, Korea Abstract >> Organic Rankine cycle (ORC) is an useful cycle for power generation system with low temperature heat sources (80~400℃). Since the boiling point of operating fluid is low, the system is used to recover the low temperature heat source of waste heat energy. In this study, a ORC with R134a is applied to recover the waste energy of condenser of coal fired power plant. A system model is developed via Thermolib® under Simulink/ MATLAB environment. The model is composed of a refrigerant heat exchanger for heat recovery from coal fired condenser, a drum, turbine, heat exchanger for ORC heat rejection, storage tank, water recirculation pump and water drip pump. System analysis parameters were heat recovery capacity, type of refrigerants, and types of turbines. The simulation model is used to analyze the heat recovery capacity of ORC power system. As a result, increasing the overall heat transfer coefficient to become the largest of turbine power is the most economical.

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