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Paper Abstract and Keywords
Presentation 2022-01-27 14:15
A model for estimating solar power generation at the urban area level considering the buildings facade
Ryo Nakazato, Shinji Yokogawa, Haruhisa Ichikawa (UEC), Tomohito Ushirokawa, Takashi Takeda (NTT FACILITIES, INC.) EE2021-38
Abstract (in Japanese) (See Japanese page) 
(in English) We focus on renewable energies, which are important for reducing greenhouse gas emissions, and examine the solar power generation potential of photovoltaic power generation, which is one of the main power generation methods in urban areas. In this study, in order to estimate the amount of photovoltaic power generation, we constructed a 3D model of a city using aviation LiDAR data and basic map information, and simulate to estimate the amount of solar power generation when all the building tops and all the walls except windows are utilized in the model. In addition, a linear prediction model was created to estimate the total amount of power generated by utilizing the building facade surface of all buildings in the area by extracting the features that indicate the layout shape of the urban area from the urban 3D model.
Keyword (in Japanese) (See Japanese page) 
(in English) Photovoltaic power generation / solar radiation on the wall / model to estimate the amount of photovoltaic power generation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 359, EE2021-38, pp. 42-47, Jan. 2022.
Paper # EE2021-38 
Date of Issue 2022-01-20 (EE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EE2021-38

Conference Information
Committee EE  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EE 
Conference Code 2022-01-EE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A model for estimating solar power generation at the urban area level considering the buildings facade 
Sub Title (in English)  
Keyword(1) Photovoltaic power generation  
Keyword(2) solar radiation on the wall  
Keyword(3) model to estimate the amount of photovoltaic power generation  
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1st Author's Name Ryo Nakazato  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Shinji Yokogawa  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Haruhisa Ichikawa  
3rd Author's Affiliation The University of Electro-Communications (UEC)
4th Author's Name Tomohito Ushirokawa  
4th Author's Affiliation NTT FACILITIES, INC. (NTT FACILITIES, INC.)
5th Author's Name Takashi Takeda  
5th Author's Affiliation NTT FACILITIES, INC. (NTT FACILITIES, INC.)
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Speaker Author-1 
Date Time 2022-01-27 14:15:00 
Presentation Time 25 minutes 
Registration for EE 
Paper # EE2021-38 
Volume (vol) vol.121 
Number (no) no.359 
Page pp.42-47 
#Pages 6 
Date of Issue 2022-01-20 (EE) 

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