This attached PDF report is from the U.S. Energy Information Administration (EIA) , showing a cost comparison of different ways to generate electricity in the United States. The cost estimates are specifically for power plants entering service in 2030. EIA picked 2030 because it's the earliest year by which all the technologies considered (including slow-to-build ones like nuclear) could realistically come online. So it's a single snapshot year, not a multi-year projection. That said, the costs are levelized over a 30-year cost recovery period, meaning they spread the plant's lifetime costs across 30 years of operation , but the plant itself starts in 2030. The main idea is the Levelized Cost of Electricity (LCOE) . It's a single number (in dollars per megawatt-hour) that represents the total cost of building and running a power plant over its lifetime. This reports this way compares very different technologies like nuclear, natural gas, wind, and solar . The LCOE is the headline metric, but the report actually compares 3 things : 1. LCOE : the cost to build and run the plant 2. LACE : the value the plant provides to the grid (revenue potential) 3. Value-Cost Ratio (LACE / LCOE) : whether the plant is worth building Very useful report for my work, and was shared with many energy professionals . Have a download.

Just sharing an article on job security for software engineering and this also applies to energy (which is becoming a major demand for software engineers/ data scientists). Many people say that with AI there will be no need for software engineers in the future, including software engineering in energy, finance, etc. According to official sources, companies are actually increasing demand for software engineering, including energy. "Companies are expanding their software budgets and increasing engineer headcounts, a Bank of America survey found. The long-term outlook for the job appears strong, too. Software developer employment will grow 15% by 2034, the Bureau of Labor Statistics projects." "IBM, for example, is tripling entry-level hiring in the United States, including software developers." Source: https://edition.cnn.com/2026/04/08/tech/ai-software-developer-jobs

I was at a conference, and this is a presentation by a China Analyst, Climate Energy Finance at a conference on Australia–China green economy cooperation. Key points are: - China dominates global clean energy and clean tech manufacturing, holds ~40% of global solar, leads global EV sales (2.4 million in Q1 2025, +36% YoY), and controls over 80% of global manufacturing capacity across 11 clean-tech supply chain segments (solar, batteries, critical minerals processing). - China is Australia's #1 trade partner and offers the world's lowest-cost, most advanced clean tech. - Government needs to build an enabling environment through a future-oriented national China strategy, bilateral decarbonisation agreements, clearer foreign investment rules

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Sharing an experience about Real Options . So , I recently worked using Real Options . I implemented this approach at a large energy company in their trading division, and it's honestly one of the most widely used tools when you're dealing with assets like power plants, or long-term supply contracts. The idea is simply apply the theory . Real Option is the right, but not the obligation, to make a business decision in the future. In energy trading, almost every physical asset is essentially a bundle of options. I worked on a gas-fired power plant, which is really an option to convert gas into electricity whenever the spread between the two prices is profitable, and to shut down when it isn't. I also worked on gas storage units. A gas storage is an option to buy when prices are low and sell when they're high. If you price these assets without accounting for that flexibility, you'll consistently undervalue them and miss good trades, or overpay because you didn't realise the optionality you were buying. I am sharing one part of a source I had used to build some models. It is extremely good to know what real options is .