Multi Objective Optimization on the Design of A Forced Circulation Solar Hot Water System

DOI

10.2991/icsd-16.2017.123How to use a DOI?

Keywords

Solar water heating system; Multi-objective optimization; Genetic algorithm; Solar collector area; Solar energy guarantee rate

Abstract

According to the purpose of energy saving and low cost, a set of optimization design method is put forward for designing a forced circulation solar hot water system which can meet the need for all hot water loads. A digital model of solar water heating system is constructed in which the relationship between guarantee rates of solar energy and total system costs is considered. And multi-objective optimization model for the system is established. Using MATLAB genetic algorithm toolbox the objective model is optimized and solved. Pareto no dominated solution sets for multi objective function are analyzed, and the optimum area of its collector was obtained.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qing-Long Kong
AU  - Feng-Xiang Zhu
AU  - Zheng Chang
AU  - Yin-Qi Feng
AU  - Yuan Li
PY  - 2016/12
DA  - 2016/12
TI  - Multi Objective Optimization on the Design of A Forced Circulation Solar Hot Water System
BT  - Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)
PB  - Atlantis Press
SP  - 558
EP  - 561
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsd-16.2017.123
DO  - 10.2991/icsd-16.2017.123
ID  - Kong2016/12
ER  -