Igie, Uyioghosa - Associate SupervisorThe aim of this work is the techno-economic and environmental risk analysis
(TERA) of the Trans-Saharan Gas Pipeline on gas turbine compressor stations.
A pipeline project encompasses many aspects, viz., choice of compressor station
location, power of each compressor station, compressor station availability,
pipeline sizing, and it includes socioeconomic impacts. Therefore, this research
considered the impacts of engine availability, compressor station location, and
socioeconomic impact in the TERA for pipelines while optimising for the lowest
lifecycle cost.
The pipeline and gas compressor modules were evaluated considering
segmented pipe length, elevation, and station location ambient temperature
variation at varying flow conditions. The design and off-design points
performance of the selected gas turbine models were simulated using
Turbomatch to obtain essential performance data required for the techno socio-
economic analysis. The unit availability was evaluated based on a developed
local maintenance schedule and failure rate retrieved from literature studies. The
analysis considered the social impacts and benefits of compressor station
locations. A scenario-based techno socio-economic analysis was performed to
show the sensitivities of the compressor station and pipeline systems to social
and technical aspects of the project in terms of social benefits and availabilities.
The economic model was developed based on social benefit algorithms and the
variation in compressor station location ambient temperatures at varying flow
conditions.
Results show compressor station system availabilities of 0.2542, 0.4657, and
0.9926 with corresponding lifecycle costs of 22.22billion,23.05 billion, and
$24.11 billion assuming a 15% discount rate for scenarios 1, 2, and 3,
respectively. An increase in availability leads to a corresponding increase in the
lifecycle cost estimate. The employment and road benefit ratios would increase
by a factor of 10 and reciprocal of new locations. This ratio is for every 10 km
decrease in the distance at each station location. Results show the significance
of the modelling and optimisation approaches utilised in this research for
compressor station locations optimisation of the integrated pipeline TERA. This
will guide decision-makers on the ultimate selection of engine configurations that
will give the optimum lifecycle cost and socio-economic benefits at the optimised
station locations.Petroleum Technology Development Fund (PTDF)PhD in Aerospac
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