It explores strategies for minimizing environmental impact, reducing carbon footprints, and ensuring long-term energy efficiency in transmission systems.
EDM and ASCE Contributions
o "Sustainability Approach with Resiliency Planning in Transmission Line Engineering" by Ajay Mallik, PE , and Sangita Mallik, ENV SP (ASCE): This research emphasized resiliency planning and its importance in transmission infrastructure, especially for projects like SunZia that are designed to handle extreme weather conditions and grid instability. o "Why Source Inspection is Critical for Transmission Structures" (TSDOS): This paper reinforced the importance of source inspection in ensuring that all components, especially critical transmission structures, meet the highest standards for quality and safety. It directly impacted SANPEC’s quality assurance practices on the SunZia project, ensuring that all materials met rigorous specifications. o "Consideration of Socio-Economic Values in Transmission Line Engineering" (TSDOS): This research highlights the importance of considering socio-economic factors in transmission projects, particularly in terms of community engagement, job creation, and economic uplift. SunZia’s project actively incorporated these factors to ensure local benefits were maximized, particularly in the American Southwest.
Innovative Solutions and Ongoing Research
o "Innovative Solutions for Placement of Strain Gauges on Lattice Towers" (TSDOS-2022): This paper outlined advanced techniques for strain gauge placement on lattice towers , a crucial innovation that allowed SANPEC to monitor the structural integrity of SunZia’s transmission towers continuously. o "The Challenges for Successful EPC Transmission Projects" (Platts Transmission Forum-2010): This work identified key challenges in executing large EPC (Engineering, Procurement, and Construction) projects, providing SANPEC with insights into effective project management, risk mitigation, and process optimization, ensuring SunZia’s success.
AI-Powered Innovation
o AI in Grid Management : Leveraging AI to optimize energy flow and forecast energy demand in real-time was a game-changer for SunZia. SANPEC applied machine learning algorithms to predict system behaviors, allowing for dynamic
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