Kanbauk LNG to Power Project
Total Gas and Power Business Services S.A.S., as part of a consortium, intends to provide Myanmar with the best possible technical and economic solution for the integrated Kanbauk LNG to Power Project.
Location of project
Summary of project scope
The Project involves the development of a new Liquefied Natural Gas (LNG) offshore import terminal to supply natural gas to a new power plant to be located near the Yadana Pipeline Centre (PLC) in Kanbauk, Ohnbinkwin village, Yebyu Township, Tanintharyi Region, Myanmar, and evacuate electrical power through an electrical transmission line to Bago Region.
The Union of Myanmar has an economy that is growing at around 7% per year and needs to maintain a high economic growth rate to meet the expectations of the population. Significant energy and infrastructure investment is therefore required. The National Electrification Plan of Myanmar defines the methodology to electrify 100% of the country by 2030.
Since 1992 the TOTAL group has been assisting Myanmar in developing its natural gas resources in the Yadana and related fields, which have accounted for 50% of Myanmar’s total gas supply. TOTAL continues to heavily invest in exploration and production in the country and recognizes it is the supply of natural gas for the generation and supply of electricity that will help facilitate the continued strong economic growth of the country.
Imported liquefied natural gas (LNG) can be the aforementioned natural gas supply. TOTAL is a pioneer and leader in the LNG sector since the 1970s, being present in all areas from production, liquefaction, shipping, supply, regasification and marketing and thus is well placed to identify and deliver a safe and economically viable gas supply via an LNG import solution for Myanmar.
Natural gas to the power plant will be supplied by a Floating Storage and Regasification Unit (FSRU). The FSRU will be located south west of Kanbauk, East of Heinze Islands, in a favourable position due to water depth and protection offered by surrounding islands.
The gas installation is composed of an offshore and onshore pipeline, together with metering facilities, pressure regulation, and tie-in to the power plant.
The Combined Cycle Power Plant (CCPP) of 1.23 GW is intended to be of multi shaft configuration, consisting of two Siemens 8000H class gas turbines with generators, two Siemens heat recovery steam generators (HRSG) and two Siemens steam turbines with generators, connected to each respective condenser. The circulating cooling water is river water cooled by wet cooling tower. The generators shall be connected to a 500kV air insulated switchyard.
The electrical transmission line will run from the power plant to the existing Bago electrical grid with two electrical transformer substations to be located at Kanbauk and in the Mawlamyine region.
Under the Environmental Conservation Law and Rules of the Republic of the Union of Myanmar, the Project is required to undertake two Environmental Impact Assessments (EIAs) for the FSRU and power plant, and one Initial Environmental Examination (IEE) for the electrical transmission line to obtain an Environmental Compliance Certificate (ECC). Environmental Resources Management (ERM) - Hong Kong Limited, and Environment Quality Management (EQM), on behalf of the Project, are currently undertaking these studies, which include baseline surveys and stakeholder engagement activities. The EIAs and IEE will be conducted in accordance with the Myanmar EIA Procedure (2015).
The Project will manage the environmental and social risks identified through the Environmental and Social Management System (ESMS) and prepare an Environmental and Social Management Plan (ESMP). The Project also considers health impacts to local communities from emissions and discharges. Primary environmental baseline surveys for air, noise, surface and ground water quality, soil quality, and terrestrial biodiversity have been undertaken for the ESIA Studies. Air modelling has been conducted to assess the potential stack emissions on local communities. Noise modelling has been conducted to assess the noise levels at the closest sensitive receptors.