Several proprietary industrial symbiosis software tools have been developed, however, without long term financial commitments these endeavors fall short of creating generalizable and sustainable tools. The recent development of virtual globes such as Google Earth (GE), an information service that provides imagery and three dimensional data depicting the entire physical earth, provides an opportunity to use a new sustainable method of navigating information to save energy and use materials more efficiently in the real world. To test this open source methodology, a data set was used from the Department of Environmental Protection in Pennsylvania, which has mandated reporting the location of disposal and type of residual waste from sources producing more than one ton per month. This data set was integrated into the GE interface to identify and quantify opportunities for materials and energy efficiency improvements. This investigation found that virtual globes coupled with open source waste information can be used to: 1) reduce embodied transport energy by reducing distances to recycling facilities, 2) choose end of life at recycling facilities rather than landfills, and 3) establish industrial symbiosis and eco-industrial parks on known by-product synergies. For one waste category, a potential 70% reduction in ton-kilometers was identified by simply observing closer disposal locations than currently utilized; similar reductions are achievable in other categories. It is concluded that the open source sharing of information in virtual globes provide a means to identify economically and environmentally beneficial opportunities for waste management if the data have been made available.

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Process design, structuring the real‐time program for the CLC, was one of the difficult aspects of Safeguard software development. Initially, there were no significant guidelines or criteria. In the course of the project, basic process‐design rules were developed and significant experience was acquired. Some techniques that emerged are the use of short‐running, asynchronous tasks; overlays to minimize storage requirements; and multiple storing of programs to minimize processor queuing.