We are thrilled to announce the launch of DDLG (Dynamic Density using Localised Gradients), our latest feature for LNG vehicles. This groundbreaking technology revolutionizes LNG monitoring, providing unparalleled accuracy in tracking consumption while taking into account LNG venting and enhancing energy efficiency. By precisely measuring fuel fillings and vented quantities, fleets can now make informed decisions to optimize operations and improve their bottom line. Join the LNG revolution and unlock the potential of cleaner fuel vehicles with DDLG.
Intangles Lab Pvt. Ltd., a leading Digital Twin solution provider, has launched its new feature for LNG vehicles, Dynamic Density using Localised Gradients (DDLG). This technology has been developed to empower vehicle owners and operators with accuracy in tracking fuel consumption and enhancing energy efficiency.
LNG, a cryogenic fuel known for its unique handling and storage requirements, requires precise monitoring. The fluid inside the thermally insulated tanks exists in both liquid and vapour forms at temperatures as low as -160°C. To maintain optimal pressure levels, the excess vapour needs to be vented out. This process, referred to as venting, can be automated through pneumatic valves or performed manually during refilling operations. However, accurately assessing LNG fuel efficiency has been a major challenge, as existing tracking systems only consider the burnt fuel injected and overlook the quantity vented out, resulting in a lack of transparency.
DDLG is a game-changing solution from Intangles. Its state-of-the-art ML-driven algorithms offer precise tracking of fuel refilling as well as the exact measurement of fuel vented out. By incorporating these crucial data points, LNG vehicle owners and operators gain a significantly more accurate estimation of fuel efficiency, allowing for enhanced visibility into the operational costs associated with cleaner fuel vehicles. Traditionally, LNG tanks have level sensors that measure volume, while billing is typically based on weight (kgs). Hence, accurately measuring the mass of fuel filled and vented out becomes critical. Adding to the complexity, the density of fuel inside cryogenic tanks varies with ambient conditions.
Leveraging cutting-edge machine learning algorithms, Intangles dynamically derives density to provide precise measurements of LNG fillings in kilograms. This enables an accurate estimation of energy efficiency in kilometers per kilogram (km/kg), offering unparalleled insights into the vehicle’s performance over time. With this advanced tool, LNG vehicle owners and operators can make well-informed decisions about their operations, ultimately leading to improved bottom-line results.
“At Intangles, our commitment lies in revolutionizing how LNG vehicle owners and operators track fuel consumption and improve energy efficiency. The launch of Dynamic Density using Localised Gradients (DDLG) represents a significant milestone in our mission to deliver innovative and pragmatic solutions that drive sustainable growth. This groundbreaking technology empowers our clients to gain precise insights into their fuel efficiency, make informed decisions, and maximize their operational efficiency,” Aman Singh, Co-founder and Head of Analytics, Intangles, said.
Intangles is dedicated to delivering innovative and pragmatic solutions that enable fleets to operate more efficiently and sustainably. DDLG represents a paradigm shift for LNG vehicle owners and operators, the company said.