Design, validation and structural analysis of photovoltaic plants
Wind, connections, foundations and assembly: where the structural risks of a photovoltaic plant arise and how to address them in design, during construction and after a failure in operation.
ATEX Study: Smart Prevention and Industrial Strategy in Explosion-Risk Environments
In industrial environments where explosive atmospheres may form—due to the presence of gases, vapors, mists, or combustible dusts—conducting an ATEX study is not only a legal requirement but also a strategic practice to protect people, ensure operational continuity, minimize environmental impact, and strengthen corporate image. A systematic evaluation of these risks allows companies to anticipate […]
Photovoltaic Revamping: Key Steps to Renew and Extend the Lifespan of Your Installations
The exponential growth of the photovoltaic sector in recent decades has led to the progressive aging of many existing plants. This is where photovoltaic revamping comes into play—an essential process for renewing and revitalizing photovoltaic installations. This presents a crucial challenge: ensuring the integrity of the structures on which solar panels are installed, guaranteeing that […]
Leak Prevention in Hydrogen Systems: A Comprehensive Approach to Industrial Safety
Safety in hydrogen installations is a critical aspect in the modern energy industry. Throughout history, numerous incidents have demonstrated the serious consequences that can result from leaks in high-pressure systems, especially when dealing with flammable gases such as hydrogen, which have been recorded (h2tools.org) and analysed in detail forming a database of causes and lessons […]
Changes in the evaluation of buckling protection ASME VIII div 2 edition 2023
One of the changes introduced in the latest edition of the ASME VIII Div 2 standard has been the way to assess protection against buckling failure when designing by analysis. Section 5.4 of the standard has been completely rewritten since the validation method proposed in previous editions was not reliable in the case of plastic […]
Revolutionizing the Industry: The Power of Integrating Machine Learning and the Digital Twin with Advanced Simulation
Machine Learning(ML) or automatic learning is a branch of artificial intelligence that allows computers to learn autonomously and perform certain actions or tasks without the need for specific programming. This is achieved through the development of algorithms that enable pattern learning and, consequently, decision-making. Figure 1: Machine Learning Workflow The concept of machine learning emerged […]