Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

Optimization of renewable power system for a household in the UK

Authors
Chunqiong Miao, Kailiang Teng, Wenyong Deng
Corresponding Author
Chunqiong Miao
Available Online December 2016.
DOI
10.2991/icseee-16.2016.124How to use a DOI?
Keywords
Renewable energy, HOMER software, Optimization.
Abstract

A distributed hybrid renewable energy system for a household is studied and evaluated based on the data of electrical consumption and renewable energy resources. The hybrid system is comprised of a wind turbine, PV arrays, a biodiesel generator, batteries and converters. The aim of this study is to design a renewable energy system with Solar Panels, Wind Turbines, biodiesel generators for a flat in the UK. The economic viability of the proposed hybrid renewable energy system has been analyzed.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/icseee-16.2016.124
ISSN
2352-5401
DOI
10.2991/icseee-16.2016.124How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Chunqiong Miao
AU  - Kailiang Teng
AU  - Wenyong Deng
PY  - 2016/12
DA  - 2016/12
TI  - Optimization of renewable power system for a household in the UK
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 692
EP  - 695
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.124
DO  - 10.2991/icseee-16.2016.124
ID  - Miao2016/12
ER  -