The Estimation of Greenhouse Gas Reductions from Renewable Energy (Photovoltaic, Wind Power) : A Case Study in Korea

2020 ◽  
Vol 29 (7) ◽  
pp. 729-737
Author(s):  
Jaehyung Jung ◽  
Kiman Kim
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gas ◽  
Wind Power

Nickel sulfides for electrocatalytic hydrogen evolution under alkaline conditions: a case study of crystalline NiS, NiS2, and Ni3S2 nanoparticles

2016 ◽  
Vol 6 (4) ◽  
pp. 1077-1084 ◽  
Author(s):  
Nan Jiang ◽  
Qing Tang ◽  
Meili Sheng ◽  
Bo You ◽  
De-en Jiang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Power ◽  
Hydrogen Evolution ◽  
Water Splitting ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Alkaline Conditions ◽  
And Storage

Electrocatalytic water splitting to produce H2 plays an important role in the capture, conversion, and storage of renewable energy sources, such as solar energy and wind power.

scholarly journals Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark

2012 ◽  
Vol 95 (1) ◽  
pp. 197-224 ◽  
Author(s):  
Elias Sanz-Casado ◽  
J. Carlos Garcia-Zorita ◽  
Antonio Eleazar Serrano-López ◽  
Birger Larsen ◽  
Peter Ingwersen
Keyword(s):  
Renewable Energy ◽  
Wind Power ◽  
Energy Research

scholarly journals GIS-based optimization – achieving Austria’s 2030 wind energy target

2021 ◽  
Author(s):  
Robert Gaugl ◽  
Thomas Klatzer ◽  
Udo Bachhiesl ◽  
Sonja Wogrin ◽  
Stefan Jodl
Keyword(s):  
Renewable Energy ◽  
Wind Power ◽  
National Parks ◽  
Historical Data ◽  
Cellular Level ◽  
Regional Level ◽  
Power Capacity ◽  
Exponential Increase ◽  
Average Wind

AbstractIn this paper, we take a look at Austria’s renewable energy targets established in the Renewable Energy Expansion Act (EAG), aiming to annually generate an additional 10 TWh of wind power by 2030. We conduct a GIS (geographic information system)-based analysis to determine average wind power density in Austria on a cellular level while considering prohibited regions, such as national parks, where building wind turbines might not be allowed. The calculated expansion potential for all remaining regions of Austria is allocated to the closest corresponding transmission nodes. Furthermore, we suggest an optimization algorithm to geographically distribute the expansion of wind power capacity to applicable transmission nodes. Finally, we conduct a case study to validate the algorithm using historical data on expansion and utilize it to predict an annual scenario for wind power expansion from 2021 to 2030 on a regional level. The total expansion required to achieve the goal of 10 TWh is assessed to be 4 GW based on predefined full load hours while assuming an exponential increase in annually added capacity (from 250 MW in 2021 to 590 MW in 2030).

Sign in / Sign up

Export Citation Format

Share Document