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Prieto, P., Briede, J. C., Beghelli, A., Canessa, E., & Barra, C. (2020). I like it elegant: imprinting personalities into product shapes. Int. J. Des. Creat. Innov., 8(1), 5–20.
Abstract: The ability of designing personality-based products is key for their successful launch in the market, since customers prefer products that have a similar personality to their own. However, the creative process designers use to imprint a given personality into a product is still a ?black-box? and lengthy process that requires expertise and successive customer validation. The research challenge here is how to systematize the creative process of defining new geometries of a product with an intended personality. Due to the complexity of this challenge, the focus of this paper is solely about the process of defining the shape of a product with a given personality. A 5-step systematic method to extract and define the key form aspects of a specific personality is defined to do this. The use of the method is exemplified by developing a shape which is representative of an elegant personality and its suitability is tested using questionnaires answered by both design and non-design trained people. Results show that customers better recognize the personality imprinted on the object when the steps of the proposed method are fully complied with. This work will assist designers with the creative process of product form definition.
Keywords: Design methodology; concept generation; inspiration
Area: ESCI
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Zhang, H. L., Baeyens, J., Degreve, J., & Caceres, G. (2013). Concentrated solar power plants: Review and design methodology. Renew. Sust. Energ. Rev., 22, 466–481.
Abstract: Concentrated solar power plants (CSPs) are gaining increasing interest, mostly as parabolic trough collectors (PTC) or solar tower collectors (STC). Notwithstanding CSP benefits, the daily and monthly variation of the solar irradiation flux is a main drawback. Despite the approximate match between hours of the day where solar radiation and energy demand peak, CSPs experience short term variations on cloudy days and cannot provide energy during night hours unless incorporating thermal energy storage (TES) and/or backup systems (BS) to operate continuously. To determine the optimum design and operation of the CSP throughout the year, whilst defining the required TES and/or BS, an accurate estimation of the daily solar irradiation is needed. Local solar irradiation data are mostly only available as monthly averages, and a predictive conversion into hourly data and direct irradiation is needed to provide a more accurate input into the CSP design. The paper (i) briefly reviews CSP technologies and STC advantages; (ii) presents a methodology to predict hourly beam (direct) irradiation from available monthly averages, based upon combined previous literature findings and available meteorological data; (iii) illustrates predictions for different selected STC locations; and finally (iv) describes the use of the predictions in simulating the required plant configuration of an optimum STC. The methodology and results demonstrate the potential of CSPs in general, whilst also defining the design background of STC plants. (C) 2013 Elsevier Ltd. All rights reserved.
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