Abstract
A framework is presented to forecast the impact of product specifications on market acceptance, thereby allowing viability assessment of both development projects and policy instruments. The novelty in our approach lies in combining two established fields in research and industry—market diffusion modelling and algorithmic process synthesis—to create a unified decision support framework. Individual steps within the framework are demonstrated and developed for a case study comprising the preliminary design of a hydrogen co-generation plant for domestic use. An agent-based simulation model serves as a virtual market for in-silico assessment of technical specifications to provide decision makers with a tool for better product designs and product regulations depending on the application use case.
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