Photovoltaic potential estimation for various surface components of urban residential buildings based on Industry Foundation Classes data-Reference-Cited by-同舟云学术

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Photovoltaic potential estimation for various surface components of urban residential buildings based on Industry Foundation Classes data

Published:2022-08-10 Issue:10 Volume:10 Page:3741-3765
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Lu Xiu¹²³^ORCID,Li Guannan¹²³,Zhou Liangchen¹²³,Hao Lisha³,Lv Guonian¹²³,Lin Bingxian¹²³

Affiliation:

1. Key Laboratory of Virtual Geographic Environment, Ministry of Education Nanjing Normal University Nanjing Jiangsu China

2. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province) Nanjing Jiangsu China

3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing Jiangsu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1253

Reference75 articles.

1. Estimating photovoltaic energy potential from a minimal set of randomly sampled data

2. Quantifying rooftop solar photovoltaic potential for regional renewable energy policy

3. GPU-based roofs' solar potential estimation using LiDAR data

4. Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade

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