India aims to meet its growing power demands through the expansion of its renewable energy capacity. This warrants a strong transmission infrastructure to integrate and evacuate renewable energy, as a transmission network acts as the backbone of power systems to transfer power from generation stations to load centres. As the country works towards this mission, a thorough transmission network analysis is needed to design a power evacuation scheme and assess technical feasibility. CSTEP supports transmission utilities to strengthen their transmission infrastructure and integrate a higher share of renewable energy to provide a reliable supply.

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Zero energy buildings: Decarbonising India by tapping the sun

Net Zero Energy Buildings (NZEBs) - 100% energy-efficient, sustainable buildings - can be a game changer, not only for India’s building sector, but also for the energy sector. NZEBs have lower energy demand than that of conventional buildings and produce at least as much energy as they consume in a year, through onsite renewable energy technologies. NZEBs are commonly grid-connected to save battery costs. This allows them to draw electricity at night and during cloudy days, and return an equivalent amount of electricity to the local grid on sunny days.

Workshop on GHG Platform India: Energy and Industries

The GHG Platform – India is a collective civil-society initiative providing an independent estimation and analysis of India’s greenhouse gas (GHG) emissions. The platform currently hosts national estimates for GHG emissions from 2007–2012 during the first phase of the project. As a part of study CSTEP & CEEW organised a workshop on January 24, 2017.

CSP: a long-term solar technology

In the race to achieve India’s National Solar Mission (NSM) targets, one important solar technology is slowly disappearing. Concentrated Solar Power (CSP), a solar thermal-based technology for power generation, which showed considerable technical potential, is being sidelined. It is losing out due to economics compared to its rival, solar photovoltaics (PV).

Energy-Efficient Irrigation Pumps

Karnataka is the second most arid state in India, after Rajasthan. The decline in rainfall in recent years has seen an increased reliance on groundwater for fulfilling agricultural water needs in Karnataka. This requires significant power consumption because a majority of irrigation pump (IP) sets, used to pump groundwater, are electrical. Most of the existing pump sets operate at a very low efficiency, leading to a high electricity consumption for the same unit of productivity.

Dedicated Feeders for IPs Using Solar-Based Generation

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 the state DISCOMs. The Government has attempted several initiatives to reduce this loss. One option being followed is segregation of domestic and agricultural feeders. The feeder separation provides an opportunity for use of solar energy to supply electricity to agricultural feeders.

Energy-Efficient Irrigation Pumps

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.

Estimation of Hourly Direct Normal Irradiance (DNI) for 22 Stations in India (Revised)

Concentrated Solar Power (CSP) plants require Direct Normal Solar Irradiance (DNI) data for both design and operation. The availability of DNI data, especially with closer time intervals, until 2010-12 was scarce. However, the India Meteorological Department (IMD) published a Typical Meteorological Year (TMY) data on Global Horizontal Irradiance (GHI) and Diffuse Horizontal Irradiance (DHI). The study developed a methodology to use these GHI and DHI data and arrive at DNI.