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PROPOSIÇÃO DE MEDIDOR INTELIGENTE RESIDENCIAL A PROPOSAL OF A RESIDENTIAL SMART METER

Cavalcante, Caroline Gobbo Sá; Capella, Caroline; Lacroix, Loïc; Fettermann, Diego; , ;

Article:

As tecnologias IoT possibilitam aos produtos novas funcionalidades transformando-os em “produtos inteligentes”. Entre as oportunidades apresentadas pela literatura para aplicação dessas tecnologias está o desenvolvimento de medidores inteligentes residenciais. Este trabalho tem por objetivo o desenvolvimento de uma pesquisa de mercado para um medidor inteligente com arquitetura modular para medir energia, água, gás em residências. Foi realizada uma pesquisa de mercado com a técnica Análise Conjunta Baseada em Escolhas em uma amostra de 202 potenciais clientes da região metropolitana de Florianópolis. Os principais resultados indicam que os potenciais clientes deste dispositivo atribuem maior importância para controle de energia e água, e o acesso às informações de consumo por meio de aplicativo. Também, identificou-se que os potenciais usuários são menos sensíveis ao preço do dispositivo, sendo que as mulheres e os consumidores de imóveis mais econômicos estão dispostos a pagar um preço mais pela implementação do medidor inteligente em suas residências.

Article:

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Palavras-chave: Internet das Coisas; IoT; Desenvolvimento de produto; Pesquisa de Mercado,

Palavras-chave: -,

DOI: 10.5151/cbgdp2019-57

Referências bibliográficas
  • [1] ALBANI. A.; DOMIGALL. Y.; WINTER. R. Implications of customer value perceptions for the design of electricity efficiency services in times of smart meters. Information Systems and e-Business Management, v. 15, n. 4, p. 825-844, 2017.
  • [2] ASIOLI, D.; NÆS, T.; ØVRUM, A.; ALMLI, V. L. Comparison of rating-based and choice-based conjoint analysis models. A case study based on preferences for iced coffee in Norway. Food Quality and Preference, v. 48, p. 174-184, 2016.
  • [3] BAKSHI, S. Impact of gender on consumer purchase behaviour. Journal of Research in Commerce and Management, v. 1, n. 9, p. 1-8, 2012.
  • [4] BARR, S.; GILG, A. W.; FORD, N. The household energy gap: examining the divide between habitual-and purchase-related conservation behaviors. Energy Policy, v. 33, n. 11, p. 1425-1444, 2005.
  • [5] BUCHANAN, K.; RUSSO, R.; ANDERSON, B. Feeding back about eco-feedback: How do consumers use and respond to energy monitors? Energy Policy, v. 73, p. 138-146, 2014.
  • [6] CALEGARI. L. P.; BARBOSA. J.; MARODIN. G. A.; FETTERMANN. D. C. A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics. Food Research International, v. 109, p. 1-13, 2018.
  • [7] CAUSSADE, S.; DE DIOS ORTÚZAR, J.; RIZZI, L. I.; HENSHER, D. A. Assessing the influence of design dimensions on stated choice experiment estimates. Transportation research part B: Methodological, v. 39, n. 7, p. 621-640, 2005.
  • [8] DARBY. S. Smart metering: what potential for householder engagement?. Building Research & Information, v. 38, n. 5, p. 442-457, 2010. EHRHARDT-MARTINEZ, K.; DONNELLY, K. A.; LAITNER, S. Advanced metering initiatives and residential feedback programs: a meta-review for household electricity-saving opportunities. 2010. FETTERMANN, D. D. C.; CERQUEIRA GUERRA, K.; PATRICIA MANO, A.; DE ALMEIDA MARODIN, G. Uma sistemática para detecção de fraudes em empresas de abastecimento de água. Interciencia, v. 40, n. 2, 2015. FETTERMANN, D. C.; CAVALCANTE, C. G. S.; ALMEIDA, T. D. D.; TORTORELLA, G. L. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, v.35, n.4, 255-268, 201 FORZA. C. Survey research in operations management: a process-based perspective. International journal of operations & production management, v. 22, n. 2, p. 152-194, 2002. GANS, W., ALBERINI, A., LONGO, A. Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland. Energy Economics, v. 36, p. 729-743, 2013. GREEN, P. E.; KRIEGER, A. M.; WIND, Y. Thirty Years of Conjoint Analysis: Reflections and Prospects. Interfaces, v. 31, n. 3, p. 56–73, 2001.
  • [9] HAIR. J. F.; ANDERSON. R. E.; BABIN. B. J.; BLACK. W. C. Multivariate data analysis: A global perspective (Vol. 7): Pearson Upper Saddle River. 2010. ISLAM, K. T.; ISLAM, A. J.; PIDIM, S. R.; HAQUE, A.; KHAN, M. T. H.; MORSALIN. S. A smart metering system for wireless power measurement with mobile application. Proceedings of Electrical and Computer Engineering (ICECE). 2016 9th International Conference on. IEEE. 2016. p. 131-134.
  • [10] KARKI, D.; KALIKI, A.; RUSTAGI, R. P. Zygote: A Framework for Prototyping Smart Devices. Proceedings of Advanced Computing and Communications (ADCOM), 2015 International Conference on. IEEE, 2015. p. 1-6. KAUFMANN, S., KÜNZEL, K., LOOCK, M. Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland. Energy Policy, v. 53, p. 229-239, 2013.
  • [11] KIRITSIS, D. Closed-loop PLM for intelligent products in the era of the Internet of things. Computer-Aided Design, v. 43, n. 5, p. 479-501, 20
  • [12] LIU, A.; MUKHEIBIR, P. Digital metering feedback and changes in water consumption–A review. Resources, Conservation and Recycling, v. 134, p. 136-148, 2018.
  • [13] LLORET, J.; TOMAS, J.; CANOVAS, A.; PARRA, L. An integrated IoT architecture for smart metering. IEEE Communications Magazine, v. 54, n. 12, p. 50-57, 2016.
  • [14] LOUVIERE, J J.; HENSHER, D A.; SWAIT, J. D. Stated choice methods: analysis and applications. Cambridge University Press. 2000.
  • [15] MAHMOODI, J.; PRASANNA. A.; HILLE, S.; PATEL, M. K.; BROSCH, T. Combining “carrot and stick” to incentivize sustainability in households. Energy Policy. v. 123. p. 31-40. 2018.
  • [16] MANI, Z; CHOUK, I. Drivers of consumers’ resistance to smart products. Journal of Marketing Management, v. 33, n. 1-2, p. 76-97, 2017.
  • [17] MOGLES. N.; WALKER. I.; RAMALLO-GONZÁLEZ. A. P.; LEE. J.; NATARAJAN. S.; PADGET. J.; ... O'NEILL. E. How smart do smart meters need to be? Building and Environment. v. 125, p. 439-450, 20
  • [18] NORONHA, A.; MORIARTY, R.; O’CONNELL, K.; VILLA, N. Attaining IoT Value: How to move from connecting things to capturing insights. Cisco, República Tcheca, 2014.
  • [19] NÆS, T.; LENGARD, V.; JOHANSEN, S. B.; HERSLETH, M. Alternative methods for combining design variables and consumer preference with information about attitudes and demographics in conjoint analysis. Food Quality and Preference, v. 21, n. 4, p. 368-378, 2010. POORTINGA, W.; STEG, L.; VLEK, C.; WIERSMA, G. Household preferences for energy-saving measures: A conjoint analysis. Journal of Economic Psychology, v. 24, n. 1, p. 49-64, 2003.
  • [20] PORTER, M. E.; HEPPELMANN, J. E. How Smart, Connected Products are Transforming Competition. Harvard Business Review, v. 92, n. 11, p. 64-88, 2014. SCHULTZ, P. W.; ESTRADA, M.; SCHMITT, J.; SOKOLOSKI, R.; SILVA-SEND, N. Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms. Energy, v. 90, p. 351-358, 2015. SKALSKÁ, H.; FREYLICH, V. Web-bootstrap estimate of area under ROC curve. Austrian journal of statistics, v. 35, n. 2&3, p. 325–330-325–330, 2006. STEWART, R. A.; WILLIS, R. M.; PANUWATWANICH, K.; SAHIN, O. Showering behavioural response to alarming visual display monitors: longitudinal mixed method study. Behaviour & Information Technology, v. 32, n. 7, p. 695-711, 2013.
  • [21] TAKENAKA, T.; YAMAMOTO, Y.; FUKUDA, K.; KIMURA, A.; UEDA, K. Enhancing products and services using smart appliance networks. CIRP Annals-Manufacturing Technology, v. 65, n. 1, p. 397-400, 2016. THAMES, L.; SCHAEFER, D. Software-defined cloud manufacturing for industry 4.0. Procedia CIRP, v. 52, p. 12-17, 2016. VASSILEVA, I.; ODLARE, M.; WALLIN, F.; DAHLQUIST, E. The impact of consumers’ feedback preferences on domestic electricity consumption. Applied Energy, v. 93, p. 575-582, 2012.
  • [22] WEMYSS, D.; CELLINA, F.; LOBSIGER-KÄGI, E.; DE LUCA, V.; CASTRI, R. Does it last? Long-term impacts of an app-based behavior change intervention on household electricity savings in Switzerland. Energy Research & Social Science, v. 47, p. 16-27, 2019.
  • [23] ZEITHAML, V. A. Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, p. 2-22, 1988.
Como citar:

Cavalcante, Caroline Gobbo Sá; Capella, Caroline; Lacroix, Loïc; Fettermann, Diego; , ; "PROPOSIÇÃO DE MEDIDOR INTELIGENTE RESIDENCIAL A PROPOSAL OF A RESIDENTIAL SMART METER", p. 783-795 . In: Anais do 12º Congresso Brasileiro de Inovação e Gestão de Desenvolvimento de Produto. São Paulo: Blucher, 2019.
ISSN 2357-7592, DOI 10.5151/cbgdp2019-57

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