The Company's announcement of 8 March 2018 stated that invitations had been sent to NLC India Limited (NLCIL) and NMDC Limited (NMDC) to visit Australia in late April, early May.
NLCIL and NMDC have now confirmed acceptance of the invitation and, subject to Visa application requirements, intend to arrive in Australia between 29 April and 6 May.
Further updates will be provided in due course.
When applied to lignite and some sub-bituminous coals, the Coldry beneficiation process produces a black coal equivalent (BCE) in the form of pellets. Coldry pellets have equal or superior energy value to many black coals and produce lower CO2 emissions than raw lignite.
The MATMOR process has the potential to revolutionise primary iron making.
MATMOR is a simple, low cost, low emission production technology, utilising the patented MATMOR retort, which enables the use of cheaper feedstocks to produce primary iron.
About the India R&D Project
The India project is aimed at advancing the Company's Coldry and Matmor technologies to demonstration and pilot scale, respectively, on the path to commercial deployment.
ECT has partnered with NLC India Limited and NMDC Limited to jointly fund and execute the project.
NLC India Limited is India's national lignite authority, largest lignite miner and largest lignite-based electricity generator.
NMDC Limited is India's national iron ore authority.
About Environmental Clean Technologies Ltd
Environmental Clean Technologies Limited (ASX:ECT) is in the business of commercialising leading-edge coal and iron making technologies, which are capable of delivering financial and environmental benefits.
We are focused on advancing a portfolio of technologies, which have significant market potential globally.
ECT's business plan is to pragmatically commercialise these technologies and secure sustainable, profitable income streams through licencing and other commercial mechanisms.
Environmental Clean Technologies Ltd
Environmental Clean Technologies Ltd (ASX:ECT) Technology Commercialisation Strategy and Revenue Model Overview