Carbon mitigation potential of the airport-based solar PV plants in the Indian context

Author(s):  
S. Sreenath ◽  
K. Sudhakar ◽  
A. F. Yusop
2012 ◽  
Vol 14 ◽  
pp. 1421-1426 ◽  
Author(s):  
K. Sudhakar ◽  
M. Rajesh ◽  
M. Premalatha

2021 ◽  
pp. 101686
Author(s):  
Andres Seidel ◽  
Nadine May ◽  
Edeltraud Guenther ◽  
Frank Ellinger

Author(s):  
Indu K. Murthy ◽  
Rakesh Tiwari ◽  
G.T. Hegde ◽  
M. Beerappa ◽  
Kameswar Rao ◽  
...  

Purpose – The purpose of this study is to estimate carbon mitigation impacts of project activities in a community forestry project in Andhra Pradesh, India. Measurement and quantification of carbon stocks, monitoring of these stocks over time and projections using models is necessary for assessing the climate change mitigation potential or impacts of all forest development and conservation projects. Design/methodology/approach – In this study, multiple mitigation assessment methods and models were used to estimate the carbon mitigation impacts – PROCOMAP, TARAM and CATIE, by adopting a three-tier approach similar to Intergovernmental Panel on Climate Change (IPCC) Guidelines. Findings – There are differences in mitigation potential estimates across models as well as across tiers. The study highlights the strength and weaknesses and/or limitations and advantages of adopting the different approaches and their applicability for estimating mitigation potential of a forestry project. The same could be adopted for a future Reducing Emissions from Deforestation and Forest Degradation (REDD) regime also, given countries may not have the necessary technical capacity and data needed during the post-2012 REDD scheme. While countries with advanced data, technical and research capabilities could use models or, in other words, adopt the Tier-3 approach, countries with data and technical limitations, as in India, could adopt a Tier-2 or Tier-1 approach to begin with. Research limitations/implications – The limitations and advantages of use of the multiple mitigation models is addressed. Originality/value – This work would help understand use of three mitigation models by prospective students and researchers and also the data needs and limitations for use of these models.


2020 ◽  
Author(s):  
Mona Reiss ◽  
Andy Krause ◽  
Anja Rammig

<p>Current scenarios assume that in addition to a rapid reduction in greenhouse gas emissions, land-based carbon mitigation will also be necessary to achieve the targets of the Paris Climate Agreement. Possible measures are increased carbon sequestration via planting new forests, the cultivation of bioenergy crops, possibly in combination with carbon capture and storage (BECCS), or increasing the carbon storage of existing forests. However, currently available scenarios that are in line with IPCC storylines (SSPs, Shared Socioeconomic Pathways and RCPs, Representative Concentration Pathways) usually have  a global  perspective, while in practice mitigation projects have to be realized regionally or locally. Here, we investigate the carbon mitigation potential via alternative management of Bavarian ecosystems using an ecosystem model with an explicit representation of climate impacts and land management. Bioenergy cultivation on existing agricultural land has a larger mitigation potential than reforestation only if combined with carbon capture and storage (BECCS).  The mitigation potential in the forestry sector via alternative management is limited (converting coniferous into mixed forests, nitrogen fertilization) or even negative (suspending wood harvest) due to decreased carbon storage in product pools and associated substitution effects. Overall, the potential for land-based mitigation in Bavaria is limited because the majority of current agricultural lands will still be needed for food production and the forestry sector offers only small per-area carbon mitigation potentials.</p>


2014 ◽  
Vol 21 (3) ◽  
pp. 391-402 ◽  
Author(s):  
Pooja Pal ◽  
Himangana Gupta ◽  
Deepak Kapur

2009 ◽  
Vol 12 (5) ◽  
pp. 579-582 ◽  
Author(s):  
N. L. Panwar ◽  
Hemant Y Shrirame ◽  
B. R. Bamniya

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