Uttar Pradesh Floats Tender for 16 MW of Rooftop Solar on Government Buildings
The last date for bid submission is September 23, 2019
The Uttar Pradesh New and Renewable Energy (UPNEDA) has issued a tender for 16 MW of grid-interactive rooftop solar projects for captive use (Capex Mode) atop various government buildings across the state.
The last date for the submission of the bid is September 23, 2019.
The scope of work includes design, manufacture, supply, erection, testing, and commissioning, including comprehensive warranty maintenance for five years.
Interested bidders can submit the bids in three categories. Part A includes a bid for 1-10 kW capacity (1.2 MW), from 11-100 kW (10 MW) is for Part B, and for Part C, bidders should bid for projects of 101-500 kW capacity (4.8 MW).
The eligibility criteria demand that the bidder be a registered manufacturer of solar photovoltaic (PV) cells or modules conforming to international standards or the bidder be a PV system integrator who has installed or commissioned solar PV projects totaling 120 kW for category A, 1,000 kW for category B, and 480 kW for category C. Also, they must have installed at least a project with capacity not less than 5 kW for category A, 50 kW for category B and 100 kW for category C.
The overall average turnover of the bidder in the last three financial years should be at least ₹19 million (~$266,000) for category A, ₹144 million (~$2 million) for category B, and ₹64 million (~$890,000) for category C.
According to the tender, the earnest money deposit (EMD) for category A is ₹600,00 (~$8,335), for category B, it is ₹4.8 million (~$6,6678), and ₹2.1 million (~$29,172) for category C.
The solar PV modules used in the installation need to be of crystalline solar PV technology, manufactured in India. The solar cells used in the modules also have to be made in India.
Previously, Mercom had reported that UPNEDA had announced a tender to install 25 MW grid-connected rooftop solar photovoltaic projects atop government and semi-government buildings in the state under the RESCO model.