Shore to Ship Power for Mombasa Port Possibilities and Challenges

  • Karue C Nyanguthii Kenya Ports Authority
  • D Murage Jomo Kenyatta University of Agriculture and Technology
  • C M Muriithi Technical University of Kenya


Control of air pollution from docked ships is one challenge that ports encounter in their effort to reduce operational environmental impact. Ship-to-shore power has been identified as one technology to reduce emissions by at least 90% in harbour areas as given by International Convention for the Prevention of Pollution from Ships (MARPOL). As an international best practice of a green port, installation of shore power technology for Port of Mombasa should be considered. To implement shore power technology, a detailed analysis of existing power system should be done to determine the effect of the topology of the connection and the effect the system will have on the stability of the grid. This paper develops an aggregate load model in MATLAB of electrical ship loads to be applied in carrying out the analysis of the impact of connecting shore power at Mombasa on the voltage stability of the on shore grid. An induction motor model is developed by aggregation of induction motor loads. Lighting and other non-motor loads are represented as a constant power static model. The model parameters are developed using a component based approach, whereby data is collected from shipping lines for ships docking in Mombasa port. The starting characteristics is analysed and found to be consistent with the expected load characteristics of a mainly inductive motor load. The paper concludes that the existing shore-side supply has the capacity to take up the full load of a ship, including direct on line starting of on-board motors. The results will be used for a load flow study to determine the effect of such an installation on the voltage stability of the on shore grid.
Jun 13, 2016
How to Cite
NYANGUTHII, Karue C; MURAGE, D; MURIITHI, C M. Shore to Ship Power for Mombasa Port Possibilities and Challenges. Proceedings of Sustainable Research and Innovation Conference, [S.l.], p. 150-157, june 2016. ISSN 2079-6226. Available at: <>. Date accessed: 25 june 2018.


Load Modelling; Aggregation; Shore-to-Ship; Stability