5th Computational Methods and Ocean Technology (COTech 2026)

Session

Computational Intelligence for Power Systems

CT08

Not scheduled

KE E-102 (University of Stavanger, Norway)

66. AI based optimal design of concentrated solar power plant integrating thermal energy storage system in Hurghada, Egypt

Ms Nahla Hussien (Egyptian Chinese University)

Paper Contribution

The increase in demand for electricity all over the world has driven great interest in Concentrated Solar Power (CSP) technologies integrated with Thermal Energy Storage (TES) systems. This paper offers an ideal design approach for a CSP solar field with AI assistance, aiming for a nominal power production of 100 MW in Hurghada, Egypt’s climatic conditions. To determine the optimal design...

38. Data-Driven Performance Assessment and Forecasting of Solar Water Heaters using Artificial Intelligence Techniques

Dr Mohammad Mansouri (Department of Energy and Petroleum Engineering, University of Stavanger, Kjell Arholms gate 41, 4021 Stavanger, Norway. Energy and Modelling Division, NORCE Research, Professor Olav Hanssens vei 15, 4021 Stavanger, Norway.)

Paper Contribution

Solar water heating systems (SWHS) provide a convenient means of reducing energy consumption for both residential and commercial applications, space conditioning and domestic hot water production. Although physics-based models accurately describe thermal systems’ behavior and performance, they require system parameters and heat transfer mechanisms knowledge, making them complex and...

91. Decentralized AI-Driven Flexibility for Transformer-Constrained Industrial Energy Communities

Merkebu Zenebe Degefa (University of Stavanger)

Paper Contribution

This study investigates whether decentralised, AI-driven flexibility agents can collectively reduce transformer peak load in an industrial park, even when each agent has no real-time knowledge of aggregate transformer loading or co-located consumers' actions. A two-stage simulation framework is used. First, a centralised day-ahead linear programme (LP) solves the joint scheduling problem for...

104. Modelling Power-System Flexibility under High Renewable Penetration: A System Dynamics Case Study of Germany

Sarah Mashhadi (UiO)

Paper Contribution

The increasing penetration of variable renewable energy introduces new challenges for balancing electricity supply and demand and maintaining sufficient flexibility in power systems. This study applies System Dynamics modelling to investigate how increasing shares of wind and solar generation affect the behaviour of the German electricity system.

A quantitative model of the German...

99. Traceable GenAI-Assisted Evidence-to-Decision Workflow for Low-Carbon Affordable Housing: A Matched-Process Pilot in Stavanger

Darmarajan Chinasamy (University of Cape Town)

Paper Contribution

This study compares an AI-assisted workflow with a researcher-applied manual policymaker-style workflow, rather than an independently replicated policymaker process, for structuring scenario-based decisions on low-carbon material uptake in Stavanger affordable housing. An exploratory matched-process case study applied both modes to the same seven-document corpus, housing archetype, three...