A new thinking for renewable energy model: Remote sensing-based renewable energy model

Shifeng Wang, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Christian Schill, Barbara Koch

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


This paper mainly focuses on the two issues through remote sensing: assessment of the renewable energy potential and integration of the renewable energy model. Three methods for assessing the renewable energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of renewable energy potential, which is the first vital step to develop renewable energy model. The paper then first presents three integrations of the renewable energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Original languageEnglish
Pages (from-to)778-786
Number of pages9
JournalInternational Journal of Energy Research
Issue number8
Early online date26 Jan 2009
Publication statusPublished - 25 Jun 2009
Externally publishedYes


EU project. Grant Number: GOCE 037063


  • Integrations with remote sensing
  • Remote sensing
  • Renewable energy model
  • Renewable energy potential

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology


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