Page 32 - SD_NG_BC

This is a SEO version of SD_NG_BC. Click here to view full version

« Previous Page Table of Contents Next Page »

26 Downstream Natural Gas Copyright © 2014 by SDTC

Input Data and Assumptions

Data and assumptions used to calculate GHG and CAC emission reductions are summarized in Table 12.

Table 12: Technology Bin Data and Assumptions Used in the Power Generation Vision Statement Calculations

Technology Bin Description Value

More efficient natural gas generators Improvement in generator efficiency by 2030. 10% Emissions control technologies – operating conditions or downstream emissions management

Reduction in CAC emissions intensity by 2030. 10%

Carbon capture and storage Market uptake of CCS, 2025-2030. It is expected that regardless of the

regulatory context for CCS, some carbon capture will occur on its own economic merits driven by enhanced oil recovery.

5%

6.5 Transportation

Based on the prevailing market trends and input from key stakeholders, the following Vision Statement has been derived for the transportation sub-sector in Canada.

Transportation Sub-Sector Vision Statement

By the year 2030, commercialization of new technologies in the transportation sub-sector in Canada will:

• achieve GHG emissions reductions of 6.8 Mt-CO 2 e per year from the business as usual emissions projection;

• achieve annual CAC emission reductions of 56 kt-NO x , 11 kt-SO x , 1.8 kt-PM, 5.9 kt-VOCs, and 129 kt-CO.

A graphical representation of the Vision Statement is shown in Figure 19 for GHG emissions.

Figure 19: Transportation Sub-Sector Vision Statement, GHG Emissions

2015 2020 2025 2030

Year

240

245

250

255

260

265

270

275

280

Business as Usual

Transportation

Page 32 - SD_NG_BC

This is a SEO version of SD_NG_BC. Click here to view full version

« Previous Page Table of Contents Next Page »