The increasing global population was demanded for more consumption of electricity. In Malaysia, it was reported that 17,790 megawatts (MW) was consumed in October 2017 due to high demand. The peak reading recorded is 0.011% increase compared to demand on April 2016 (17,788 MW). Following this, more transmission tower lines need to be developed to generate more electricity. Land acquisition is the main issue for constructing the new transmission tower because it requires a large area to set it up. The idea of optimization on the existing transmission tower helps in reducing cost for constructing the new structure. The aim of this study is to develop an optimal design of the transmission tower. A 275 kV transmission tower model is used in this study for analyzing and optimizing by using linear static and p-delta analysis. This optimization method is done by reducing tower members as well as increasing size of member’s element. A design calculation for modification and arrangement of the transmission tower members is referred to manual guidelines of EN1993-3-1 and ASCE 10-97. Two alternatives are being prepared to produce an optimal design and result shows that a reduction percentage in term of reduced number of bar members can be saved up to 34 %.

Transmission route selection needs to determine in order to have the best route for the transmission line. This paper presents a few alternative transmission line routes together by using cost path analysis application, minimizing and avoiding propose new located tower in landslide hazard area. The conventional route planning method usually only take into considerations of topographical such as gradient and curvature. This method unable to sustain the environment. This study can take into consideration of many factors that related to Environmental Sensitive Area (ESA) such as prone to landslide area, forestry area, land cover and land use. Different influence factor that assign to the weightage will resulted to different output of the suitability map. This study will have used nine Environmental Sensitive Area (ESA) factors, and using three difference influence factors that will optimize the result of the suitability map.

The use of Building Information Modelling (BIM) has been widely practised. In this paper, the method of Terrestrial Laser Scanning (TLS) and 3D modelling is done before analyse using BIM. This study aims to analyse the energy consumption of PMU building by using BIM in order to have a better designed project as well as to lower risk and better predictability of outcomes. It discusses studies integrated with the design method, on the use of Building Information Modeling (BIM) to build performance simulations. As for the outcome, cooling load and energy consumption analysis are presented in this study.