Carbon emissions from power sector in Pakistan and opportunities to mitigate those

Many developing countries are acutely vulnerable to global climate changes. Pakistan ranks amongst the top of those nations where vulnerability index due to climate changes is very high. Though many of these are not major contributors to the Green House Gases (GHGs) emissions, yet they have adequate potential to mitigate GHGs in various sectors. The power sector, for instance, is one of the major contributors to GHGs in Pakistan and has prospects of abating GHGs by undertaking alternative and improving measures. The GHG contribution from grid connected power plants can be estimated through baseline emissions factor. This paper has calculated this baseline emission factor by determining annual fossil fuel consumption in the grid connected power plants, their net efficiencies, energy outputs and carbon emissions from each fuel source. The data in this regard has been collected from Pakistan Energy Year Book published in 2009, 2010 and 2011 and through related government agencies. The tools, procedures and methodologies of Intergovernmental Panel on Climate Change (IPCC) and United Nations Framework Convention on Climate Change (UNFCCC) are followed in this regard. The paper has calculated that the weighted average baseline emissions factor for power sector in Pakistan is 0.566 tCO(2)/MWh (tons of carbon dioxide per megawatt hour) for wind and solar power projects and 0.478 tCO(2)/MWh for hydro power projects excluding Karachi Electric Supply Company (KESC) grid and 0.606 tCO(2)/MWh for wind and solar power projects and 0.505 tCO(2)/MWh for hydro by including KESC grid. This baseline emissions factor is also a determinant of the amount of Certified Emission Reductions (CERs) that can be accrued by implementing clean Alternative and Renewable Energy (ARE) projects. The amount of CERs generated by an ARE project also have the prospects to earn the carbon revenue streams. The paper has also suggested measures for mitigating grid emissions. (C) 2014 Elsevier Ltd. All rights reserved.