Efficient Energy Mix Model for Households in Dar es Salaam

Authors

  • Nuhu Nihamba Department of Chemical and Process Engineering, College of Engineering and Technology, University of Dar es Salaam, P. O. Box 35131, Dar es Salaam, Tanzania.
  • Neema Msuya Department of Chemical and Process Engineering, College of Engineering and Technology, University of Dar es Salaam, P. O. Box 35131, Dar es Salaam, Tanzania.
  • Abraham K Temu Department of Chemical and Process Engineering, College of Engineering and Technology, University of Dar es Salaam, P. O. Box 35131, Dar es Salaam, Tanzania.

DOI:

https://doi.org/10.4314/tjs.v51i1.10

Abstract

The study analyses energy consumption in Dar es Salaam and assesses a range of energy sources, including solar power, liquefied petroleum gas (LPG), grid electricity, charcoal, firewood, and natural gas. By analysing the characteristics, costs, and benefits of each energy source, the study proposes an optimal household energy mix that enhances energy security, minimizes environmental impact, and reduces costs. Secondary data on existing energy practices were collected, and various energy mix scenarios were simulated using optimization techniques such as combined heat and power (CHP) systems and load-following strategies to ensure optimal performance while maintaining energy sustainability. Implementing this optimized energy mix model reduces household energy expenses by integrating cost-effective energy carriers and efficient technologies. Households benefit from lower electricity and fuel costs through the use of affordable and sustainable energy sources such as solar power and natural gas. Additionally, demand-side management strategies, like load following, help minimize peak-time energy costs and enhance efficiency. Furthermore, the model encourages investment in local energy infrastructure such as photovoltaic systems and natural gas pipelines networks, fostering economic opportunities like installing solar panel and distribution, job growth through technological innovation in energy efficiency solutions, and reduced dependency on traditional energy sources.

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Published

2025-04-14

Issue

Section

Physical Sciences