Design to Value: the importance of data and analytics in building design and construction

Cost and Performance Requirements for Flexible Advanced Nuclear Plants in Future U.S. Power Markets.

We know this is happening in the US right now, where a major manufacturer is developing new products for a specific DC owner..Recent news on the release of open-source DeepSeek and its impact on the share price of Nvidia suggests that there may be some striation in the market..

Design to Value: the importance of data and analytics in building design and construction

Some AI models, though not in the leading peloton, are close behind and more cost-effective.These applications may place lower demands on processing and cooling and hold a lower facility price point.. Everyone in the room agreed that standing still is not an option..Some believe that we’re reaching the edges of technological development in cooling, certainly from current supply chains.

Design to Value: the importance of data and analytics in building design and construction

There are other cooling technologies (e.g.some developed for the defunct space shuttle programme), but these are currently 100x the cost.

Design to Value: the importance of data and analytics in building design and construction

This rise in density is driving DCs to be all about the utilities, with processing space representing a very small percentage of each development.. With both a rapidly evolving technological marketplace and long project lead times, the same dilemma between customers and infrastructure builders about the timings of decision making is amplified..

The developer needs decisions as early as possible to design, secure power, step through regulatory hurdles and source long-lead components; while the customers want to be able to wait as long as possible to read the market.Better information for planning officers:.

As for architects, digitisation is about giving them access to more and better information on which to base their decisions, and creating more time in which to make them.Making these decisions is why people become planners in the first place..

If architects are using 3D models, why would planners use 2D drawings and not those models?When daylight tracking is measurable and predictable (if complex), why would planners be checking the architects’ sums, armed with a calculator, when a ‘digital app’ could do this more efficiently?