Thermal-economic optimization of a distributed multi-generation energy system - A case study of Beijing

被引：123

作者：

Li, HW ^{[1
]}

Nalim, R

Haldi, PA

机构：

[1] Purdue Univ, Dept Engn Mech, W Lafayette, IN 47907 USA

[2] Purdue Univ, Sch Engn & Technol, Dept Mech Engn, Indianapolis, IN 46202 USA

[3] Swiss Fed Inst Technol, Lab Energy Syst, CH-1015 Lausanne, Switzerland

来源：

APPLIED THERMAL ENGINEERING | 2006年 / 26卷 / 07期

关键词：

thermal-economic optimization; distributed multi-generation; NPV;

D O I：

10.1016/j.applthermaleng.2005.09.005

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A simultaneous consideration of the thermodynamic, economic and emission criteria regarding both CO2 and NOx emissions of a distributed combined heating, cooling and power generation (tri-generation) system in an urban residential area in Beijing has been realized through thermo-economic optimization. Technologies such as gas turbine, internal combustion engine, absorption chiller and gas boiler are considered as options of the plant optimum configuration. System Net Present Value (NPV) is taken as the objective to be maximized. The presented mixed integer and non-linear programming (MINLP) problem is solved by a Genetic Algorithms (GAs) optimizer. The optimal plant configurations are found with the consideration of system configuration, design and operation under different economic and environmental legislation contexts. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：709 / 719

页数：11

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