Smart Domain: Smart Energy

This paper explores how maintenance scheduling for renewable energy company can be digitally transformed. The renewable energy sector, with its vast and dispersed infrastructure, presents unique challenges for efficient maintenance scheduling. Traditional methods often struggle to optimize resource allocation, minimize downtime, and proactively address potential issues. Digital transformation offers a powerful solution to address these challenges and improve overall operational efficiency.Key Strategies for Digital Transformation:According to Li and Wang (2023), Data-Driven Insights can contribute to: IoT Integration: Implement IoT sensors to collect real-time data on equipment performance, environmental conditions, and energy output. Predictive Analytics: Utilize advanced analytics techniques like machine learning and AI to predict equipment failures and optimize maintenance intervals. Alharbi and Alzahrani (2016) further outline the opportunities presented by digitalised workflows which entail: CMMS Implementation: Adopt a Computerized Maintenance Management System (CMMS) to streamline maintenance planning, scheduling, and execution processes. Mobile Solutions: Equip field technicians with mobile devices and apps to access real-time information, submit work orders, and update maintenance records. Remote Monitoring and Control was explored by Wang, Zhang, and Li (2022). Leading to the following learning: Remote Diagnostics: Employ remote monitoring tools to diagnose equipment issues and troubleshoot problems remotely, reducing the need for on-site visits. Remote Control: Implement remote control capabilities to adjust operational parameters and initiate maintenance tasks from a central location. Optimized Scheduling and Resource Allocation can be explored by the following as outlined by Wang, Li, and Yang (2021): AI-Powered Scheduling: Utilize AI algorithms to optimize maintenance schedules based on factors like equipment condition, weather forecasts, and technician availability. Dynamic Resource Allocation: Employ real-time data and predictive analytics to dynamically allocate resources to prioritize critical maintenance tasks. Lee and Kim (2016) emphasized the importance of collaboration and knowledge management which still holds true today: Digital Collaboration Tools: Utilize digital collaboration tools to facilitate communication and knowledge sharing among maintenance teams and experts. Knowledge Management Systems: Implement knowledge management systems to capture and share best practices, lessons learned, and technical documentation. By embracing these digital transformation strategies, EcoTech can significantly improve the efficiency and effectiveness of their maintenance operations, leading to reduced downtime, optimized resource utilization, and enhanced overall system reliability.

The proposal aims to highlight and detail how sustainability plays an impactful and crucial role which can be shaped by short-term scheduling and optimization strategies for hydro-wind-solar hybrid systems for Eskom under the framework developed. Eskom is creating a renewable energy utility solution to assist in delivering on customers’ renewable energy commitments without customers having to procure renewable energy through Power Purchase Agreements (PPAs) or installing its renewable plant requiring large capital costs. “In response to the existential threat to humanity caused by climate change and global warming, the development of renewable energy generation technology has become a crucial decision for countries worldwide in addressing energy issues”(Dawei Zhang, 2024). The dilemma in the spotlight of this proposal is, “How does sustainability influence/or is influenced by short-term scheduling?”. Short-term schedules are processes and initiatives that will have a short-term effect on the system’s performance. The proposed research article will showcase Critical Systems Heuristics (CSH), a Systems Thinking approach, as applied to Eskom’s Operations System. The Systems Heuristics will be guided by the following sub-topics, Sources of Motivation, Sources of Knowledge, Sources of Control & Sources of Legitimacy. This method will suggest a transformation in business operations, transitioning from one process to another. The technique will be utilized to analyze and evaluate the operational framework of the South African power utility. Eskom green energy framework is still under construction and to be finalized but there is research that shows “A hydro–wind–solar hybrid system based on deep learning and nesting algorithm.” (Xi Lu,2023). This argues that digital technology and digital processes will play a crucial role in the successful rollout of the green energy plan. Other concepts regarding how sustainability impacts, short-term scheduling will be discussed are Environmental Impact in terms of resource conservation, Resource Efficiency, Integration of Storage, and how to enhance reliability. Utilizing tools such as SWOT helps Eskom identify its internal strengths and weaknesses, as well as external opportunities and threats. The above constructs a logical argument, demonstrated by a comprehensive understanding of the hydro-wind-solar hybrid energy systems by integrating various viewpoints and information sources