Feasibility study of a solar PV system for a Foundry entity

Talent Duma, Oliver Dzobo, Bonani Seteni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Load shedding and electricity tariff increases have significant implications for industrial consumers. It disrupts their system operations and increases electricity costs. To address these challenges, companies are exploring demand-side solutions. These solutions aim to enhance energy security, reduce energy costs, and promote environmental sustainability. In this paper a case study of a metal casting entity in South Africa is considered. The entity is considering the installation of a solar PV system on its rooftop. Such a system generates electricity from sunlight and can offset a significant portion of a company's energy consumption. System Advisor Model (SAM) was used to design and model the solar PV systems. It helps assess the feasibility of the solar project, predict energy generation, and estimate cost savings. The results show that the optimal solution is a 547 kWdc solar PV system which is expected to have energy cost savings of approximately 46% for the company. The installation of the solar PV systems is seen as a viable solution for South African businesses looking to reduce energy costs and enhance energy security. These measures align with the broader global trend of transitioning to cleaner and more sustainable energy sources.

Original languageEnglish
Title of host publicationPMAPS 2024 - 18th International Conference on Probabilistic Methods Applied to Power Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350372786
DOIs
Publication statusPublished - 2024
Event18th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2024 - Auckland, New Zealand
Duration: 24 Jun 202426 Jun 2024

Publication series

NamePMAPS 2024 - 18th International Conference on Probabilistic Methods Applied to Power Systems

Conference

Conference18th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2024
Country/TerritoryNew Zealand
CityAuckland
Period24/06/2426/06/24

Keywords

  • cost savings
  • electricity bill
  • energy savings
  • Solar PV system

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Computational Mechanics
  • Electrical and Electronic Engineering
  • Statistics and Probability

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