If we liken this to the owner’s manual provided with a new car, for example, a responsible owner will maintain their car’s service history, and if the modified car is sold, this service history adds value to the transaction, complementing and updating the owner’s manual. Accurate, up-to-date as-built asset information will similarly add value when it is used in due diligence processes in property transactions, for example.
Moreover, data about the physical asset will be augmented by additional information gathered during its performance. Such approaches are common in other fields. For example, Formula One racing cars now generate huge amounts of data from every race to help teams fine-tune performance. And Rolls-Royce jet engines don’t just generate enormous power, sensors within the engines generate huge amounts of data that Rolls-Royce uses to improve engine reliability and fuel economy for its TotalCare customers.
Similarly, in the built environment, data can be routinely collected from, say, an office building showing its energy use, temperature, humidity, lighting, equipment use, etc, over time. Such real-time data will provide constantly updated information for post-occupancy evaluation; BIM can thus be used by the owner-operator to evaluate actual energy efficiency, monitor the building’s life cycle costs, and optimise its cost efficiency.
So BIM will also be invaluable to ‘repeat clients’ in informing and improving future design, construction and operation of similar facilities. Similarly, it will provide designers with actual data about the performance of the built assets they devised, rather than them relying on assumptions and forecasts.