Citation: Fiona Bénard-Sora, Jean-Philippe Praene, Yatina Calixte. Assess the local electricity consumption: the case of Reunion island through a GIS based method[J]. AIMS Energy, 2018, 6(3): 436-452. doi: 10.3934/energy.2018.3.436
[1] | EDF (2013) Il était une fois les réglementations thermiques. Available from: https://travaux.edf.fr/construction-et-renovation/la-reglementation-thermique-2012/il-etait-une-fois-les-reglementations-thermiques. |
[2] | JORF (1996) LOI n° 96-1236 du 30 décembre 1996 sur l'air et l'utilisation rationnelle de l'énergie (1). Available from: https://www.legifrance.gouv.fr/affichTexte.do?cidTexte= JORFTEXT000000381337&categorieLien=id. |
[3] | JORF (2005) Loi n° 2005-781 du 13 juillet 2005 de programme fixant les orientations de la politique énergétique. Available from: https://www.legifrance.gouv.fr/affichTexte.do?cidTexte= JORFTEXT000000813253&categorieLien=id. |
[4] | JORF (2010) LOI n° 2010-788 du 12 juillet 2010 portant engagement national pour l'environnement (1). Available from: https://www.legifrance.gouv.fr/affichTexte.do?cidTexte= JORFTEXT000022470434&categorieLien=id. |
[5] | JORF (2015) LOI n° 2015-992 du 17 août 2015 relative à la transition énergétique pour la croissance verte (1). Available from: https://www.legifrance.gouv.fr/affichTexte.do?cidTexte= JORFTEXT000031044385&categorieLien=id. |
[6] | Cheng MY, Chiu KC, Lien LC, et al. (2016) Economic and energy consumption analysis of smart building–MEGA house. Build Environ 100: 215–226. doi: 10.1016/j.buildenv.2016.02.023 |
[7] | ADEME. Climat, Air et Energie, Chiffres clés; 2013. |
[8] | Durable CGaD. Repères-Ciffres clés de l'environnement; 2015; Paris. |
[9] | Ma JJ, Du G, Zhang ZK, et al. (2017) Life cycle analysis of energy consumption and CO2 emissions from a typical large office building in Tianjin, China. Build Environ 117: 36–48. doi: 10.1016/j.buildenv.2017.03.005 |
[10] | Blom I, Itard L, Meijer A (2011) Environmental impact of building-related and user-related energy consumption in dwellings. Build Environ 46: 1657–1669. doi: 10.1016/j.buildenv.2011.02.002 |
[11] | Parshall L, Gurney K, Hammer SA, et al. (2010) Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States. Energ Policy 38: 4765–4782. doi: 10.1016/j.enpol.2009.07.006 |
[12] | Réunion OE. Bilan énergétique Ile de La Réunion 2015; 2016. |
[13] | Amado M, Poggi F, Amado AR (2016) Energy efficient city: A model for urban planning. Sustain Cities Soc 26: 476–485. doi: 10.1016/j.scs.2016.04.011 |
[14] | Bénard-Sora F, Praene JP (2016) Territorial analysis of energy consumption of a small remote island: Proposal for classification and highlighting consumption profiles. Renew Sust Energ Rev 59: 636–648. doi: 10.1016/j.rser.2016.01.008 |
[15] | Mungwe J, Mandelli S, Colombo E (2016) Community pico and micro hydropower for rural electrification: experiences from the mountain regions of Cameroon. AIMS Energy 4: 190–205. doi: 10.3934/energy.2016.1.190 |
[16] | Dornan M (2015) Reforms for the expansion of electricity access and rural electrification in small island developing states. AIMS Energy 3: 463–479. doi: 10.3934/energy.2015.3.463 |
[17] | Wolf F, Surroop D, Singh A, et al. (2016) Energy access and security strategies in small island developing states. Energ Policy 98: 663–673. doi: 10.1016/j.enpol.2016.04.020 |
[18] | Alhamwi A, Medjroubi W, Vogt T, et al. (2017) GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas. Appl Energ 191: 1–9. doi: 10.1016/j.apenergy.2017.01.048 |
[19] | Li C (2017) GIS for Urban Energy Analysis. Reference Module in Earth Systems and Environmental Sciences. |
[20] | Man SW, Zhu R, Liu Z, et al. (2016) Estimation of Hong Kong's solar energy potential using GIS and remote sensing technologies. Renew Energ 99: 325–335. doi: 10.1016/j.renene.2016.07.003 |
[21] | Nematollahi O, Kim KC (2017) A feasibility study of solar energy in South Korea. Renew Sust Energ Rev 77: 566–579. doi: 10.1016/j.rser.2017.03.132 |
[22] | Yushchenko A, Bono AD, Chatenoux B, et al. (2017) GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa. Renew Sust Energ Rev 81: 2088–2103. |
[23] | Mentis D, Hermann S, Howells M, et al. (2015) Assessing the technical wind energy potential in Africa a GIS-based approach. Renew Energ 83: 110–125. doi: 10.1016/j.renene.2015.03.072 |
[24] | Cristea C, Jocea AF (2016) GIS Application for wind energy. Energ Procedia 85: 132–140. doi: 10.1016/j.egypro.2015.12.283 |
[25] | Cavazzi S, Dutton AG (2016) An offshore wind energy geographic information system (OWE-GIS) for assessment of the UK's offshore wind energy potential. Renew Energ 87: 212–228. doi: 10.1016/j.renene.2015.09.021 |
[26] | Jangid J, Bera AK, Joseph M, et al. (2016) Potential zones identification for harvesting wind energy resources in desert region of India? A multi criteria evaluation approach using remote sensing and GIS. Renew Sust Energ Rev 65: 1–10. |
[27] | Anwarzai MA, Nagasaka K (2017) Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis. Renew Sust Energ Rev 71: 150–160. doi: 10.1016/j.rser.2016.12.048 |
[28] | Vasileiou M, Loukogeorgaki E, Vagiona DG (2017) GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece. Renew Sust Energ Rev 73: 745–757. doi: 10.1016/j.rser.2017.01.161 |
[29] | Quan SJ, Li Q, Augenbroe G, et al. (2015) A GIS-based energy balance modeling system for urban solar buildings. Energ Procedia 75: 2946–2952. doi: 10.1016/j.egypro.2015.07.598 |
[30] | Mutani G, Delmastro C, Gargiulo M, et al. (2016) Characterization of building thermal energy consumption at the urban scale. Energ Procedia 101: 384–391. doi: 10.1016/j.egypro.2016.11.049 |
[31] | Tornay N, Schoetter R, Bonhomme M, et al. (2017) GENIUS: A methodology to define a detailed description of buildings for urban climate and building energy consumption simulations. Urban Climate 20: 75–93. doi: 10.1016/j.uclim.2017.03.002 |
[32] | Palme M, Inostroza L, Villacreses G, et al. (2017) From urban climate to energy consumption. Enhancing building performance simulation by including the urban heat island effect. Energ Buildings 145: 107–120. |
[33] | Jiang Y, Gu P, Chen Y, et al. (2017) Modelling household travel energy consumption and CO2 emissions based on the spatial form of neighborhoods and streets: A case study of Jinan, China. Computers, Environment and Urban Systems. |
[34] | Lu H, Liu G (2014) Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting. Appl Energ 131: 297–306. doi: 10.1016/j.apenergy.2014.06.036 |
[35] | Yamamura S, Fan L, Suzuki Y (2017) Assessment of urban energy performance through integration of BIM and GIS for smart city planning. Procedia Eng 180: 1462–1472. doi: 10.1016/j.proeng.2017.04.309 |
[36] | Niu S, Pan W, Zhao Y (2015) A BIM-GIS integrated web-based visualization system for low energy building design. Procedia Eng 121: 2184–2192. doi: 10.1016/j.proeng.2015.09.091 |
[37] | ADEME. Bâtiment, Edition 2013, Chiffres Clés; 2013. |