Abstract
In this work, a methodology for the design and implementation of a microgrid for supplying electricity to indigenous Mapuche communities in Chile is proposed. The challenge in designing this microgrid lies in making it compatible with a community’s socio-cultural situation, thereby allowing active community participation in all stages of project development. To achieve this, we propose a participatory model of technological innovation that fits in with the local culture. The proposal is based on taking advantage of the communication and energy infrastructure of the microgrid to build a smart farm system to improve the quality of life of Mapuche rural communities. The smart farm consists of a set of technological devices and software applications related to communitarian farm activities that attempt to reduce the gap of information technologies. To demonstrate the potential of the smart farm system, we propose solutions for livestock monitoring and rational water use at the local level since these two applications represent needs expressed by the communities themselves. To develop a harmonious project consistent with the socio-cultural situation of the Mapuche people and to obtain effective community participation in the different stages of the project, we suggest performing a participatory socio-environmental diagnosis to identify the project’s potential and existing initial barriers to its implementation in these communities. Subsequently, we will evaluate its potential impact on the social welfare and development of the communities. This design will result in a participatory project with community management for ensuring its sustainability under a concept of development shared by the community.
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References
Niez, A.: Comparative study on rural electrification policies in emerging economies: key to successful policies. Inf. Pap. p. 118 (2010)
Pereira, M.G., Freitas, M.A.V., da Silva, N.F.: Rural electrification and energy poverty: Empirical evidences from Brazil. Renew. Sustain. Energy Rev. 14(4), 1229–1240 (2010)
Ferrer-Martí, L., Garwood, A., Chiroque, J., Ramirez, B., Marcelo, O., Garfí, M., Velo, E.: Evaluating and comparing three community small-scale wind electrification projects. Renew. Sustain. Energy Rev. 16(7), 5379–5390 (2012)
Alvial-Palavicino, C., Garrido-Echeverría, N., Jiménez-Estévez, G., Reyes, L., Palma-Behnke, R.: A methodology for community engagement in the introduction of renewable based smart microgrid. Energy. Sustain. Dev. 15(3), 314–323 (2011)
Ubilla, K., Jimenez-Estevez, G.A., Hernadez, R., Reyes-Chamorro, L., Hernandez Irigoyen, C., Severino, B., Palma-Behnke, R.: Smart microgrids as a solution for rural electrification: ensuring long-term sustainability through cadastre and business models. IEEE Trans. Sustain. Energy 5(4), 1310–1318 (2014)
Baldwin, E., Brass, J.N., Carley, S., MacLean, L.M.: Electrification and rural development: issues of scale in distributed generation. Wiley Interdiscip. Rev. Energy Environ. 4(2), 196–211 (2015)
Camblong, H., Sarr, J., Niang, A.T., Curea, O., Alzola, J.A., Sylla, E.H., Santos, M.: Micro-grids project, Part 1: Analysis of rural electrification with high content of renewable energy sources in Senegal. Renew. Energy 34(10), 2141–2150 (2009)
Palma-Behnke, R., Ortiz, D., Reyes, L., Jimenez-Estevez, G., Garrido, N.: A social SCADA approach for a renewable based Microgrid - The Huatacondo project. In: 2011 IEEE Power and Energy Society General Meeting, pp. 1–7 (2011)
Leary, J., While, A., Howell, R.: Locally manufactured wind power technology for sustainable rural electrification. Energy Policy 43, 173–183 (2012)
Huayllas, T.E.D.C., Ramos, D.S., Vasquez-Arnez, R.: Microgrid systems: current status and challenges. In: 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, vol. 900, pp. 7–12 (2010)
Stevens, N., Bergey, M.: Wind/Diesel microgrid utility service in desertores islands. In: Microgrid Deployment Workshop (2013)
Fast, S.: A Habermasian analysis of local renewable energy deliberations. J. Rural Stud. 30, 86–98 (2013)
Walker, G., Cass, N.: Carbon reduction, ‘the public’ and renewable energy: engaging with socio-technical configurations. Area 39(4), 458–469 (2007)
United Nations Development Programme, Towards an “Energy Plus” Approach for the Poor: An Agenda for Action for Asia and the Pacific, Bangkok, Thailand (2012)
Olivares, D.E., Mehrizi-Sani, A., Etemadi, A.H., Cañizares, C.A., Iravani, R., Kazerani, M., Hajimiragha, A.H., Gomis-Bellmunt, O., Saeedifard, M., Palma-Behnke, R., Jiménez-Estévez, G.A., Hatziargyriou, N.D.: Trends in microgrid control. IEEE Trans. Smart Grid 5(4), 1905–1919 (2014)
Green, T.C., Prodanović, M.: Control of inverter-based micro-grids. Electr. Power Syst. Res. 77(9), 1204–1213 (2007)
Esparcia, J.: Innovation and networks in rural areas. an analysis from European innovative projects. J. Rural Stud. 34, 1–14 (2014)
University of New England, “SMART Farm,” (2015). http://www.une.edu.au/about-une/academic-schools/school-of-science-and-technology/research/smart-farm. Accessed 01 June 2015
Taylor, K., Griffith, C., Lefort, L., Gaire, R., Compton, M., Wark, T., Lamb, D., Falzon, G., Trotter, M.: Farming the web of things. IEEE Intell. Syst. 28(6), 12–19 (2013)
Hwang, D.-H., Shin, M.-S.: IT convergence technology in plant growing for low-carbon green industry. J. Korea Soc. IT Serv. 11(4), 123–134 (2012)
Scherr, S.J., Shames, S., Friedman, R.: From climate-smart agriculture to climate-smart landscapes, pp. 1–15 (2012)
Kenny, G.: Adaptation in agriculture: lessons for resilience from eastern regions of New Zealand. Clim. Change 106(3), 441–462 (2011)
Nadimi, E.S., Søgaard, H.T., Bak, T., Oudshoorn, F.W.: ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass. Comput. Electron. Agric. 61(2), 79–87 (2008)
Huircán, J.I., Muñoz, C., Young, H., Von Dossow, L., Bustos, J., Vivallo, G., Toneatti, M.: ZigBee-based wireless sensor network localization for cattle monitoring in grazing fields. Comput. Electron. Agric. 74(2), 258–264 (2010)
Ripoll-Bosch, R., Díez-Unquera, B., Ruiz, R., Villalba, D., Molina, E., Joy, M., Olaizola, A., Bernués, A.: An integrated sustainability assessment of mediterranean sheep farms with different degrees of intensification. Agric. Syst. 105(1), 46–56 (2012)
Waller, R.M.: Ground Water and the Rural Homeowner (1994)
Konikow, L.F., Bredehoeft, J.D.: Ground-water models cannot be validated. Adv. Water Resour. 15(1), 75–83 (1992)
Walker, G., Devine-Wright, P., Hunter, S., High, H., Evans, B.: Trust and community: exploring the meanings, contexts and dynamics of community renewable energy. Energy Policy 38(6), 2655–2663 (2010)
Bengoa, J.: Historia del pueblo Mapuche, 5th edn. Ediciones Sur, Santiago, Chile (1996)
Zhang, X., Chen, Z.D.: The design and simulation of a smart farm system based on ultra narrow band communication. Appl. Mech. Mater. 427–429, 1398–1401 (2013)
Llanos, J., Sáez, D., Palma-Behnke, R., Núñez, A., Jiménez-Estévez, G.: Load profile generator and load forecasting for a renewable based microgrid using self organizing maps and neural networks. In: IEEE World Congress on Computational Intelligence, p. 8 (2012)
Acknowledgements
This work has been partially supported by FONDEF ID14I10063 project “Design and Implementation of an Experimental Prototype of Microgrid for Mapuche Communities”. Also, this paper has been partially supported by Complex Engineering Systems Institute (CONICYT – PIA – FB0816).
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Vargas, C. et al. (2019). Methodology for Microgrid/Smart Farm Systems: Case of Study Applied to Indigenous Mapuche Communities. In: Corrales, J., Angelov, P., Iglesias, J. (eds) Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II. AACC 2018. Advances in Intelligent Systems and Computing, vol 893. Springer, Cham. https://doi.org/10.1007/978-3-030-04447-3_6
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