The proposed Project has one (1) block of 421 MW (gross capacity) combined cycle gas turbine known as Block 2, comprising of a F-class gas turbine (GT) and a triple-pressure steam turbine (ST). The CCGT plant will utilise natural gas as the main fuel source to generate electricity and diesel as secondary fuel.

The CCGT block will include a bypass stack and diverter damper which will be installed between the GT exhaust plenum and the inlet of the heat recovery steam generator (HRSG). When the diverter damper is in the ‘open’ position, the exhaust gas will be diverted through the bypass stack into the atmosphere, bypassing the steam system (including HRSG and steam turbine), allowing the GT to be operated in open cycle mode.

A multi-disciplined team of sector-specific specialists gathered data and conducted field studies on all aspects of the physical, biological and social environment, documenting the current situation and highlighting the core environmental issues.

The key project elements were:

• Numerical modelling on the thermal plume generated from the power plant using the well-established MIKE 21 software suite. Hydrodynamic modelling of tides and currents using MIKE 21 HD module was done. The model provides the basis for simulation such as sediment transport, thermal recirculation and chlorine dispersion.
• Dispersion Modelling conducted with the USEPA’s AERMOD model (Version 07026) and one year of meteorological data generated by the AERMET, the meteorological processor for AERMOD). Two emission scenarios were considered. When there is no pollution control system in place and when appropriate pollution control measures are in place. Air pollutants that were assessed were particulate matter up to 10 microns (PM10), sulphur dioxide (SO2) and nitrogen dioxide (NO2). 
• An assessment was made on the potential impact from the wastewater (thermal plume) generated. Water pollution in terms of soil erosion and sedimentation during site clearing and preparation was also assessed.
• Impacts due to noise were assessed at different stages of the Project. Noise prediction model (Cadna-A) was used to determine acceptable rates of noise attenuation based on the methodology of free field decay. The software was used to plot noise contours showing the extent of noise spread and potential impacts on nearby receptors.
• Quantitative Risk Assessment (QRA) that identify possible major accident hazard in the proposed project associated with the handling and storage of hazardous and flammable materials on site.