Evaluation of BMTC Initiatives on Modal Share

Submitted by devaditya@cstep.in on Sun, 02/24/2019 - 16:28

CSTEP evaluated the impact of Bangalore Metropolitan Transport Corporation's (BMTC) initiatives on the modal share of public transport, in a study for the Government of Karnataka. The aim of the study was to assess measures that could increase the modal share of public buses in Bengaluru. The study also suggested strategies for revenue generation from chartered/dedicated bus services and land monetisation.

Energy-Efficient Irrigation Pumps

Submitted by devaditya@cstep.in on Sun, 02/24/2019 - 16:05

The study assessed the feasibility of replacing 5 lakh inefficient irrigation pumpsets (IPs) with energy-efficient IP sets across five Electricity Supply Companies (ESCOMs) in Karnataka. Pilot studies revealed that the efficiency of existing IP sets was less than 30%. The efficiency of current energy-efficient IP sets range from 35%-55%, providing huge potential for energy-savings on replacement. By replacing 5 lakh IP sets, GoK could save about INR 900 crore from subsidy outlays every year.

Karnataka's Energy Mix: Computational Model for Energy Planning

Submitted by devaditya@cstep.in on Sun, 02/24/2019 - 15:51

The Government of India has ambitious targets of achieving 175 GW of renewable energy by 2022. As of March 2017, Karnataka's renewable energy capacity share stood at around 35% (out of 20 GW of the installed generation capacity mix). This is expected to increase as the state (KREDL) aims to have 6.86 GW of solar and 4.9 GW of wind generation capacity by FY19. 

Feasibility of Supplying Dedicated Agricultural Feeders with Solar Power in Karnataka

Submitted by devaditya@cstep.in on Sun, 02/24/2019 - 15:45

The agricultural sector in Karnataka accounts for 39% of the state’s electricity (~21,344 MU). This is provided for free, or at heavily subsidised rates, to farmers. Moreover, electricity is not metered. This has led to an estimated revenue loss of INR 9,295 crore for state DISCOMs. The Government has attempted several initiatives to reduce this loss, one of them being segregation of domestic and agricultural feeders.

Using AI to Achieve Development Goals

Submitted by devaditya@cstep.in on Sat, 02/23/2019 - 18:55

The developmental challenges faced by India are too big to be solved by the conventional linear approach. Artificial intelligence (AI) is seen as the next disruptive technology. The increase in computation power and development of innovative algorithms have made possible hitherto unthinkable applications such as self-driving cars and humanoid robots - as well as daily life applications such as the predictive prompt of search engines, and purchase recommendations provided by e-commerce sites.

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