Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)

Virtual Building Medol to Predict Hourly Cooling Load for District Buildings in Urban Planning

Authors
Xiang Yuan, Wei-Ding Long
Corresponding Author
Xiang Yuan
Available Online December 2016.
DOI
10.2991/icsd-16.2017.115How to use a DOI?
Keywords
Cooling load; Prediction; Energy planning; Regulatory index; Building; district
Abstract

Load prediction is the basis work of district energy planning. Establishing simulation models is a valid method for hourly cooling load. Considering regulatory indexes of buildings play a bridge role between single buildings and the district in urban regulatory planning, the paper discusses relationships of hourly cooling loads between single buildings and the district. The paper builds a virtual building model whose distribution of hourly cooling loads per unit volume is the same as that of superposition of all single buildings in the district. Parameter values of simulation model for the virtual building can been determined by buildings in the district with specific regulations. In the stage of urban regulatory planning, virtual building parameter values can deduced from regulatory indexes. At last, the process of establishing the method with regulatory indexes is proposed in the paper.

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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Volume Title
Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/icsd-16.2017.115
ISSN
2352-5401
DOI
10.2991/icsd-16.2017.115How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiang Yuan
AU  - Wei-Ding Long
PY  - 2016/12
DA  - 2016/12
TI  - Virtual Building Medol to Predict Hourly Cooling Load for District Buildings in Urban Planning
BT  - Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)
PB  - Atlantis Press
SP  - 523
EP  - 531
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsd-16.2017.115
DO  - 10.2991/icsd-16.2017.115
ID  - Yuan2016/12
ER  -