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Heat Transfer Research
Импакт фактор: 0.404 5-летний Импакт фактор: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Печать: 1064-2285
ISSN Онлайн: 2162-6561

Выпуски:
Том 50, 2019 Том 49, 2018 Том 48, 2017 Том 47, 2016 Том 46, 2015 Том 45, 2014 Том 44, 2013 Том 43, 2012 Том 42, 2011 Том 41, 2010 Том 40, 2009 Том 39, 2008 Том 38, 2007 Том 37, 2006 Том 36, 2005 Том 35, 2004 Том 34, 2003 Том 33, 2002 Том 32, 2001 Том 31, 2000 Том 30, 1999 Том 29, 1998 Том 28, 1997

Heat Transfer Research

DOI: 10.1615/HeatTransRes.2014007185
pages 369-382

DYNAMIC MULTIOBJECTIVE OPTIMIZATION OF A COMPRESSOR-DRIVEN ADSORPTION SYSTEM BY ITERATIVE DYNAMIC PROGRAMMING

Mingxin Lyu
School of Energy and Power Engineering, Shandong University, Jinan 250061, China; School of Mechanical Engineering, Tianjin University, Tianjin 300192, China
Zhen Dong
School of Energy and Power Engineering, Shandong University, Jinan 250061, China
Yanhua Lai
School of Energy and Power Engineering, Shandong University, Jinan 250061, China

Краткое описание

A compressor-driven adsorption refrigeration system that uses graphite-BaCl2 composite adsorbent/ammonia as a working pair has been investigated through dynamic optimization. The main purposes of this work were to obtain the optimal volume flow rate profile with the optimal cycle time and to improve the COP and SCP of this system simultaneously. A general dynamic multiobjective optimization mathematical model has been presented, and then shrinked to a single goal dynamic optimization problem by the weighted sum method. Because the cycle time was not specified, a normalized time variable was introduced and the cycle time was divided into a set of time stages of variable length. In order to solve this mathematical model, the iterative dynamic programming algorithm was adopted by a parallel program, and the effectiveness of this algorithm has also been verified. The optimal volume flow rate firstly keeps its maximum, and then drops to a relatively moderate value which rises slowly with time and reaches its minimum at the end of the cycle. As the weight of COP increases, the optimal volume flow rate control profile approaches the lower bounds and the optimal cycle time gradually gets longer.


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