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Solar Power and Batteries Have Been Keeping Europe's Grid Stable

1 week 2 days ago
AleRunner writes: "Solar has been doing the 'heavy lifting' to help Europe meet its energy needs amid a string of blistering heatwaves," Euronews tells us. Meanwhile, as Europe's energy demands rise with the heat, jellyfish have been causing shutdowns and reduced power output at multiple reactors at French nuclear plants, as we already discussed. Euronews reports: A new analysis from energy think-tank Ember found that solar output in European countries rose by up to 17 percent on heatwave days in June and July. Researchers say that this helped power the grid as electricity demand increased by as much as a quarter on hot days. Heatwaves often trigger a spike in electricity consumption due to the sudden need for cooling, mainly from energy-intensive air conditioning (A/C) units. The International Energy Agency (IEA) estimates that space cooling, which is mostly A/C units and fans, consumed around seven percent of the world's electricity in 2022. Even in countries where A/C ownership is low, countries experience energy demand spikes when scorching temperatures hit. During the early summer heatwaves of 2025, France, for example, recorded an evening electricity peak that was 25 percent above the off-season average due to air conditioning. Ember's analysis found that during the late-June heatwave this summer, daily electricity demand rose byup to 28 percent in Italy, 23 percent in Hungary, 14 percent in France and 13 percent in Spain compared with pre-heatwave days. It says as heatwave-driven demand increased, solar was the only major power source to perform "better than usual." Compared with other days in June and July, average daily solar generation during the heatwaves was 17 percent higher in France and Hungary, five percent higher in Spain and the same in Italy.

Read more of this story at Slashdot.

BeauHD

Floating Along

1 week 2 days ago

Today's submitter John F. was migrating data from a Microsoft platform to a Microsoft platform, using Microsoft tools. Absolutely nothing could go wrong, right?

Right?

A few years ago, I was working on a migration. We had sold part of our business, and so we had to extract a whole bunch of customer documents and metadata to provide to the buyer. The documents were stored in SharePoint on-premises, so the first step was extracting the metadata and storing it in a SQL Server database.

A colleague had used Microsoft's ETL tool SSIS to get the process started, and it generated a database schema. But after taking over, I wanted to change to PowerShell for greater control. For speed reasons, I decided to use System.Data.SqlClient.SqlBulkCopy, and getting that going required making sure my PowerShell script had all the correct data types.

One of our fields was the customer number. Customer numbers were up to 10 digits, but the first two were usually 0. Now, I prefer storing customer numbers as text, but someone in the distant past thought, This is a number, and SharePoint has a Number field, so I will use that.

Under the hood, Number fields in SharePoint are actually Doubles. Using a Double to store something exact like a customer number is not really ideal, but double-precision is absolutely enough to represent 10 digit numbers accurately. So what went wrong?

Well, remember we used SSIS to create the original table schema in SQL Server. I then used this table schema to write my script. But it turns out that in SQL Server world, the double-precision type is called float. If you want single-precision, you have to say float(24). I didn't know this, and so when I saw the SQL Server column as a float, I entered float as the corresponding .Net type in my script.

Oops.

So numbers came out of SharePoint as double. They were then converted to float before being inserted into SQL Server. Almost all records were fine, but large customer numbers had their last few digits changed. Testers didn't notice, but fortunately someone picked it up in the full load. We had to generate a list of changed numbers to patch the data after the fact.

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Ellis Morning