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Solar Potential Mapping Solution for RTPV (Roof Top Photovoltaics)
Enhancing India’s Renewable Energy Capacity through effective visualization of Solar Roof Top Potential

Innovative approaches are imperative to achieve India’s ambitious Renewable Energy Target capacity of 40 GW from its currently achieved capacity of 5.88 GW . This can be done by effectively enhancing the potential of renewable energy resources in India. Towards this end, solar photovoltaics power can effectively be harnessed given the high possibility of its scalability in the Indian subcontinent.

For effective implementation of Roof Top Photovoltaics (RTPV) that profits individual building owners and the state power generation and distribution departments, the first step is to accurately identify and document the actual solar roof top potential -. Aerial LiDAR survey comes handy here. It helps to capture the rooftops in 3-dimensions and provides accurate 3D Spatial Data of the rooftops of the entire city. The HD photographs captured as part of LiDAR survey provide effective visualization supporting in asset documentation for the state electricity departments and the building owners.

Geokno’s in house developed Solar Roof Top Potential Application is capable of processing high precision LiDAR data to help identify shadow free areas on roof tops. This enables the user to place the solar panels in a manner that maximizes the solar energy utilization potential, thereby providing a cost effective and maximum usable roof top solution for installing RTPV.

  • Consumers can identify their rooftop potential to install RTPV and benefit from a quick ROI

  • State Electricity Departments can quantify the effective Solar Roof Top Potential of the entire city

  • Localized generation and consumption eases storage and can be used during non-solar hours

  • Third party companies can provide power generation to the building owners and sell the remaining to state electricity departments through a power-purchase agreement

  • Renewable energy helps reduce power generation from fossil fuel and thermal power plants, thereby reducing the carbon footprint.

Geokno India’s Solar Potential Mapping Tool Solution for RTPV

Our 5-point methodology

  • Calculates sun positions (azi , ele) over the entire year (365 x 13).

  • Shadow analysis for every hour of sun position.

  • Calculates annual direct insolation (includes cloud cover effect).

  • Calculates annual diffuse insolation using sun view factor.

Solar Potential Mapping Solution for RTPV (Roof Top Photovoltaics)
  • Gives hourly, daily, monthly and annual total insolation values.

Leveraging the power of 3D Virtualization for accurate alignment design of India’s first bullet train project

In the year 2022, India plans to roll out its first bullet train and will join the elite group of countries. A greenfield project spread over 508 Km stretch between Mumbai and Ahmedabad was envisaged to be completed within a period of 4 years.

Bullet Train Project requires a high accuracy, final location survey (FLS) data and NHSRCL was entrusted the herculean task of completing the entire project in 4 years. Heavily populated areas like Mumbai, Ahmedabad and Vadodara along with ghat sections, creeks and the challenges to enter certain areas due to local issues along with the project time frame were the challenges which made NHSRCL to choose Aerial LiDAR in preference over competing technologies.

Choosing the right vendor for carrying out FLS using Aerial LiDAR for this prestigious Bullet Train Project of National importance was the challenge for NHSRCL. Geokno India Pvt. Ltd., was their chosen vendor to execute the LiDAR survey.

Geokno, completed the project within a record period of 3 months and provided all the needed deliverables like bare earth Digital Elevation Model in 1mx1m grid, seamless ortho photographs of the entire stretch, 3-D topography map in 1:2000 scale, contours of 50 cm intervals, cross sections, plan and profile needed for this project. Hydrology survey was undertaken and data provided.

NHSRCL teams were highly appreciative of Geokno, for the data delivered with a vertical accuracy of 39 mm and a horizontal accuracy between 93 to 100 mm. All this in 3 months whereas this process normally takes 10-12 months using traditional methods, thereby providing quality and also saving time and money.

Telangana airborne LiDAR
Solving inter-state water disputes & efficient irrigation in the states of Telangana-Maharashtra using Aerial LiDAR

The iconic project of solving the inter-state water disputes was carried out with data-driven insights from the LiDAR technology. The information collected helped in reducing water wastage and channelising the river to the states of Telangana and Maharashtra. The Kaleshwaram project initiated by the honourable Chief Minister of Telangana has laid the base for irrigation facilities that in turn make way for water availability for both the states.

LiDAR scanning was the sought-after method for topographical scanning as large areas of land had to be mapped for identifying the exact location of submergence for the two states. Additionally, LiDAR opened scope for avoiding human errors involved with manual surveying.

The Aerial LiDAR from Geokno was used to map about 100 to 200 square Kms of area per day. Moreover, a Heil-mapper aerial LiDAR was introduced to complete 3700 sqKms of area scanning. Nearly 4000 SqKms of area was mapped in the phase 2 of the project in a record time of 4 months. The data captured are highly accurate with the ability to scan in areas below vegetation and through the canopies. The extensive information forms the base of the irrigation planning and design with insights from the 3D visualization of the land.

Extension to solving the river dispute, multiple irrigation projects have been opened up benefitting many farmers enhancing their socioeconomic status. Also, 50,000 acres of land in the tribal and backward regions of Maharashtra has been irrigated which has improved livelihood for many people.

Aerial LiDAR for Mizoram State roads
LiDAR engineering for road transportation in Mizoram for improving socioeconomic status.

The core state road network in Mizoram required a complete revamp due to connectivity problems from the mainland, especially covered with mountainous terrain and rugged plains. The major concern is that it is hampering trade and development across the region. LiDAR technology has enabled accurate data collection even from inaccessible terrains that have helped in systematic planning of roadway projects.

Funded by the World Bank, the objective was to rebuild the entire road network in Mizoram, with seamless connection to the neighbouring countries like Nepal, Bangladesh, etc. This opened up multiple opportunities for trade and investment, improving the socioeconomic status of the people and the state.

Geokno’s LiDAR system contributes to the mission by sourcing reliable & highly accurate data in real-time for enhanced decision making. With regions of Mizoram covered with dense greenery around the area, advanced remote scanning helps overcome the challenges of the topography & climatic conditions.

Planning of road design of about 284 Kms was supported with the topographical survey through thick forests. Using the LiDAR reduced the time of the planning and implementation drastically.