Modeling and optimization of a binary geothermal power plant

被引：84

作者：

Ghasemi, Hadi ^{[1
]}

Paci, Marco ^{[2
]}

Tizzanini, Alessio ^{[2
]}

Mitsos, Alexander ^{[1
]}

机构：

[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA

[2] ENEL Ingn & Innovaz SpA, Area Tecn Ric, I-56122 Pisa, Italy

来源：

ENERGY | 2013年 / 50卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Geothermal energy; Organic Rankine cycle; Optimization; Binary plant; ORGANIC RANKINE-CYCLE; WORKING FLUIDS; TEMPERATURE; DESIGN; ORC; SELECTION; RECOVERY;

D O I：

10.1016/j.energy.2012.10.039

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A model is developed for an existing organic Rankine cycle (ORC) utilizing a low temperature geothermal source. The model is implemented in Aspen Plus (R) and used to simulate the performance of the existing ORC equipped with an air-cooled condensation system. The model includes all the actual characteristics of the components. The model is validated by approximately 5000 measured data in a wide range of ambient temperatures. The net power output of the system is maximized. The results suggest different optimal operation strategies based on the ambient temperature. Existing literature claims that no superheat is optimal for maximum performance of the system; this is confirmed only for low ambient temperatures. For moderate ambient temperatures (T-amb >= 1.7 degrees C) superheat maximizes net power output of the system. The value of the optimal superheat increases with increasing ambient temperature. The optimal operation boosts the total power produced in a year by 9%. In addition, a simpler and semi-analytic model is developed that enables very quick optimization of the operation of the cycle. Based on the pinch condition at the condenser, a simple explicit formula is derived that predicts the outlet pressure of the turbine as a function of mass flow rate of working fluid. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：412 / 428

页数：17

共 29 条

[1] Multicomponent working fluids for organic rankine cycles (ORCs) [J].