PERENCANAAN PENANGKAL PETIR DI GEDUNG SEKOLAH TINGGI TEKNOLOGI PEKANBARU

The installation of lightning rods is very necessary for office buildings, buildings, towers so that humans and equipment inside the building are protected from the danger of lightning strikes. This study plans a good lightning rod to be installed in the Pekanbaru Technology High School building by knowing the values ​​of lightning strike density, lightning strike distance, the level of building hazard estimates, determining the area that attracts lightning strikes, determining the number of lightning strikes per year, and determining the radius. protection against lightning strikes. The results of the research that has been carried out, in the Pekanbaru Technological School (STTP) building with a building length of 32.50 m, a building width of 22.50 m, and a building height of 18.00 m. obtained the value of lightning density N_g=35,3602 km²/year, area of ​​attraction for lightning strikes A_e=15,827.49 m², the number of lightning strikes N_d=0,559/year, has level III protection with E=082, area of ​​radius A_x=174.885.44 m², So to be safer from lightning strikes, the STTP building using an electrostatic lightning rod is enough to use 1 finial with a length of 2 m.

Study on Improvement of Lightning Damage Detection Model for Wind Turbine Blade

There have been many reports of damage to wind turbine blades caused by lightning strikes in Japan. In some of these cases, the blades struck by lightning continue to rotate, causing more serious secondary damage. To prevent such accidents, it is a requirement that a lightning detection system is installed on the wind turbine in areas where winter lightning occurs in Japan. This immediately stops the wind turbine if the system detects a lightning strike. Normally, these wind turbines are restarted after confirming soundness of the blade through visual inspection. However, it is often difficult to confirm the soundness of the blade visually for reasons such as bad weather. This process prolongs the time taken to restart, and it is one of the causes that reduces the availability of the wind turbines. In this research, we constructed a damage detection model for wind turbine blades using machine learning based on SCADA system data and, thereby, considered whether the technology automatically confirms the soundness of wind turbine blades.

Serendipity: the myth of delayed lightning strikes

The serendipity-based creativity process in their conceptual development papers has been particularly appealing for me due to its power to harness unexpectedly useful information as a strategic advantage in business operations, technological innovations, and scientific discoveries. Their metaphor for the serendipity process resembles the radar technology for detecting fast-flying objects. Nonetheless, others refer to it as "lightning strikes". So I call it a serendipity strike.

Serendipity: the myth of delayed lightning strikes

The serendipity-based creativity process in their conceptual development papers has been particularly appealing for me due to its power to harness unexpectedly useful information as a strategic advantage in business operations, technological innovations, and scientific discoveries. Their metaphor for the serendipity process resembles the radar technology for detecting fast-flying objects. Nonetheless, others refer to it as "lightning strikes". So I call it a serendipity strike.

A universal severity classification for natural disasters

The magnitude of a disaster’s severity cannot be easily assessed because there is no global method that provides real magnitudes of natural disaster severity levels. Therefore, a new universal severity classification scheme for natural disasters is developed and is supported by data. This universal system looks at the severity of disasters based on the most influential impact factor and gives a rating from zero to ten: Zero indicates no impact and ten is a worldwide devastation. This universal system is for all types of natural disasters, from lightning strikes to super-volcanic eruptions and everything in between, that occur anywhere in the world at any time. This novel universal severity classification system measures, describes, compares, rates, ranks, and categorizes impacts of disasters quantitatively and qualitatively. The severity index is useful to diverse stakeholder groups, including policy makers, governments, responders, and civilians, by providing clear definitions that help convey the severity levels or severity potential of a disaster. Therefore, this universal system is expected to avoid inconsistencies and to connect severity metrics to generate a clear perception of the degree of an emergency; the system is also expected to improve mutual communication among stakeholder groups. Consequently, the proposed universal system will generate a common communication platform and improve understanding of disaster risk, which aligns with the priority of the Sendai Framework for Disaster Risk Reduction 2015–2030. This research was completed prior to COVID-19, but the pandemic is briefly addressed in the discussion section.