“How can different infrastructures be interdependent without any direct connection?”
Infrastructures can be interdependent in numerous ways. However, one of the most subtle forms is through cause and effect, in which the consequences of one infrastructure failure will carry over into another one. Take for example the 2018 Northern California Wildfires. When the fallen transmission line caused a fire, the smoke that swept into the Bay Area caused the air pollution levels to skyrocket. This made people rush to the hardware stores to purchase protective masks, emptying stocks within hours. Through Logical Interdependence, the supply of gas masks was contingent on the fire resilience in Northern California.
Systematic Risk Assessment
“How can we assess risk on the systematic scale?”
Risk assessment can be done for a wide variety of topics. But if one wants to apply it on a high-level, such as analyzing power-plants or bridges, then one will need to apply Systematic Risk Assessment, which can be much more challenging than component level risk analysis.
How Engineering Simulations Can Save Companies a lot of Money
“How can engineering simulations save companies a lot of money?”
Before the ascent of computers, most engineering modeling had to be done with physical experiments. These were arduous, costly, and prone to failure. But with the invention of simulation, companies can now simulate their designs’ performance without having to actually build it. This is How Engineering Simulation Can Save Companies a lot of Money.
Why Renewable Energy would be a Great Investment for Indonesia
“Why should Indonesia invest more in renewable energy?”
Indonesia is a nation whose size is only matched by its diversity. An archipelago comprising of 17,000 islands with over 242 million people speaking over 300 different languages, it truly is a behemoth to behold. Currently, Indonesia generates around 84% of its energy from fossil fuel resources. But increasing its portfolio of renewable energy could be greatly beneficial to it.
- Ideal Climate for Renewable Energy
Being a chain of islands near the equator in the Southern Pacific Ocean, Indonesia has a great opportunity to tap into solar and offshore wind energy.
Since Indonesia is composed of a series of islands which are subject to typhoons, having a more distributed energy mix would be very helpful. Islands can generate their own electricity, microgrids can kick on during storms (something that would also be helpful to places with similar geography like Puerto Rico)
- Lower Pollution
Air pollution causes a myriad of public health problems which dampen the national economy. By switching to renewable energy this issue can be averted.
And these are just some of the reasons why Indonesia should switch to Renewable Energy!
How Accurate Weather Prediction can Help Grid Resiliency
“How can weather forecasts help stabilize the grid?”
Weather forecasts have become apart of our daily lives. But did you know that they can also help with grid resiliency? By being able to forecast the future, we can obtain how large our cooling loads will have to be. And with this knowledge, we can get ancillary reserves ready when the time comes. This way, Accurate Weather Prediction can Help Grid Resiliency!
Renewable vs Zero Carbon Energy Resources
“Is there a difference between a renewable energy resource and a zero carbon one?”
Renewable energy is often tied to the idea of having zero carbon emissions. But not all net carbon zero energy resources are renewable. Some like Nuclear is run off elements with finite supply but do not add any more CO2 to the atmosphere. This is the prime difference Renewable and Zero Carbon Energy Resources, with the former meaning that the original source is replenishable and the latter meaning the use of this energy source does not (directly) contribute to climate change. This little piece of knowledge is vital for making policy decisions, where we might have to compare the trade-offs between the viability of renewables and meeting climate goals.
Quasi-static Time Series
“How can we work with time-dependent and discrete data?”
Distributed Energy Resources can have many different discrete processes that are time dependent such as solar panels producing usable current and batteries absorbing energy. And sometimes these time-dependent processes might actually have multiple different time periods. Since normal analysis is too difficult to integrate with this, we can use something called Quasi-static Time Series to quantify our data.