Abstract
Current attempts to resolve ecological problems by only social or technological means clearly have their insufficiencies; otherwise the ecological crisis would not be so obvious. Eco-sound innovations and nature conservation projects are not profitable, because there is no reliable methodology that allows bio- and eco-approaches to contribute to industry and the economy to the full extent. Technology and ecology are often mutually contradictive and mismatching domains: bio- and techno-worlds speak different languages. A methodology for eco-innovation called BioTRIZ is presented in this chapter. BioTRIZ is the only methodology which is fully capable of dealing with contradictions between biology and technology, because its main mechanism is based on revealing conflicting requirements and a win-win resolution. The authors’ 30-year experience in ecology, biomimetic design, and theory of invention led to the formulation of basic axioms and rules for eco-innovation that are presented in this chapter. As an example of the application of these axioms and rules, a case study on eco-innovation is presented: the design of an eco-park that takes into account technological requirements, generates profit, and recovers damaged ecosystems.
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Notes
- 1.
The ecological response to our activity is often sufficiently delayed: this has its own advantages, but an accumulative and postponed reaction can be unexpected and catastrophic.
- 2.
One of the popular trends in contemporary engineering is nanotechnology, which touches another sensitive point on the lowest scale of the graph (Fig. 15.1).
- 3.
Biomimetic engineering is discussed in Sect. 15.2.1 of this chapter.
- 4.
By the way, at this stage CO2 is excluded from the atmosphere, and it is essential in the contemporary global climate situation.
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Bogatyrev, N., Bogatyreva, O. (2014). BioTRIZ: A Win-Win Methodology for Eco-innovation. In: Azevedo, S., Brandenburg, M., Carvalho, H., Cruz-Machado, V. (eds) Eco-Innovation and the Development of Business Models. Greening of Industry Networks Studies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-05077-5_15
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