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Adoption and Diffusion of Micro-Grids in Italy. An Analysis of Regional Factors Using Agent-Based Modelling

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  • Francesco Pasimeni

    (University of Sussex - Science and Technology Policy Research Unit (SPRU))

Abstract

The Italian electricity system, based on a centralized grid, presents important inefficiencies in the transmission infrastructure and is highly import-dependent. At the same time, it has a high renewable potential. These three aspects might encourage Italy to shift from the traditional centralized grid to a new decentralized electricity system by adopting Micro-Grids (MGs). This transition, however, has not yet started. This work aims to study the possible scenarios of adoption and diffusion of MGs in Italy, by analysing the influence of regional factors, the potential role of subsidies and people’s attitude. An agent-based model is formulated in order to simulate the diffusion of MGs as a function of those characteristics and to analyse which policies could facilitate the adoption of MGs in the country. The results show the high dependence of the diffusion process on regional factors (electricity demand, renewable potential and population). Moreover, the model confirms that subsidies can encourage the diffusion (mainly when they are regional-based rather than national-based) and that a higher “green” attitude by users can accelerate the diffusion of MGs in Italy.

Suggested Citation

  • Francesco Pasimeni, 2017. "Adoption and Diffusion of Micro-Grids in Italy. An Analysis of Regional Factors Using Agent-Based Modelling," SPRU Working Paper Series 2017-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
  • Handle: RePEc:sru:ssewps:2017-09
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    References listed on IDEAS

    as
    1. Jiayi, Huang & Chuanwen, Jiang & Rong, Xu, 2008. "A review on distributed energy resources and MicroGrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2472-2483, December.
    2. Siddiqui, Afzal S. & Maribu, Karl, 2009. "Investment and upgrade in distributed generation under uncertainty," Energy Economics, Elsevier, vol. 31(1), pages 25-37, January.
    3. Karger, Cornelia R. & Hennings, Wilfried, 2009. "Sustainability evaluation of decentralized electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 583-593, April.
    4. McMichael, Megan & Shipworth, David, 2013. "The value of social networks in the diffusion of energy-efficiency innovations in UK households," Energy Policy, Elsevier, vol. 53(C), pages 159-168.
    5. Markard, Jochen & Truffer, Bernhard, 2006. "Innovation processes in large technical systems: Market liberalization as a driver for radical change?," Research Policy, Elsevier, vol. 35(5), pages 609-625, June.
    6. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 67-116.
    7. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    8. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
    9. Sauter, Raphael & Watson, Jim, 2007. "Strategies for the deployment of micro-generation: Implications for social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2770-2779, May.
    10. Marco Valente, 2008. "Laboratory for Simulation Develpment - LSD," LEM Papers Series 2008/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
    12. Hansla, Andre & Gamble, Amelie & Juliusson, Asgeir & Garling, Tommy, 2008. "Psychological determinants of attitude towards and willingness to pay for green electricity," Energy Policy, Elsevier, vol. 36(2), pages 768-774, February.
    13. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    14. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    15. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    16. Nelson, Richard R. & Winter, Sidney G., 1993. "In search of useful theory of innovation," Research Policy, Elsevier, vol. 22(2), pages 108-108, April.
    17. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    18. Faber, Albert & Valente, Marco & Janssen, Peter, 2010. "Exploring domestic micro-cogeneration in the Netherlands: An agent-based demand model for technology diffusion," Energy Policy, Elsevier, vol. 38(6), pages 2763-2775, June.
    19. Alanne, Kari & Saari, Arto, 2006. "Distributed energy generation and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(6), pages 539-558, December.
    20. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," SciencePo Working papers Main hal-03461262, HAL.
    21. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.
    22. Dennis E. Smallwood & John Conlisk, 1979. "Product Quality in Markets Where Consumers are Imperfectly Informed," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(1), pages 1-23.
    23. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Distributed multi-generation: A comprehensive view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 535-551, April.
    24. Higgins, Andrew & Paevere, Phillip & Gardner, John & Quezada, George, 2012. "Combining choice modelling and multi-criteria analysis for technology diffusion: An application to the uptake of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1399-1412.
    25. Reinhard Madlener & Christiane Schmid, 2003. "Adoption and Diffusion of Decentralised Energy Conversion Technologies: The Success of Engine Co-Generation in Germany," Energy & Environment, , vol. 14(5), pages 627-662, September.
    26. Asmus, Peter, 2001. "The War against Terrorism Helps Build the Case for Distributed Renewables," The Electricity Journal, Elsevier, vol. 14(10), pages 75-80, December.
    27. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    28. Chester, Lynne, 2010. "Conceptualising energy security and making explicit its polysemic nature," Energy Policy, Elsevier, vol. 38(2), pages 887-895, February.
    29. Rosenberg, Nathan, 1969. "The Direction of Technological Change: Inducement Mechanisms and Focusing Devices," Economic Development and Cultural Change, University of Chicago Press, vol. 18(1), pages 1-24, Part I Oc.
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    Cited by:

    1. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.

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    Keywords

    Micro-grids; Agent-based model; Innovation diffusion;
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