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Introduction to Solar Neighborhoods

  • Caroline Hachem-VermetteEmail author
Chapter
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Part of the Green Energy and Technology book series (GREEN)

Abstract

This chapter introduces the general concept of solar neighborhoods. The characteristics of a neighborhood are presented, followed by an overview of energy performance on an urban scale, including energy consumption and potential of renewable energy generation. Impact of neighborhood design on solar energy potential is briefly discussed in this chapter. Specific parameters that influence solar energy access and utilization, such as building design, density and community layout, are briefly introduced. These factors are presented in more detail in Chaps.  7 and  8, with relation to two types of neighborhoods: small-scale residential neighborhood, and mixed-use larger scale neighborhood.

Advanced neighborhood design trends which pose challenges both for research and application are presented. These include Net-zero Energy Neighborhoods and Zero Carbon Emissions Neighborhoods. These are neighborhoods that are closely affected by the potential of their buildings and urban surfaces, to capture and utilize solar energy, while reducing the dependence on fossil-based fuel.

The chapter discusses modeling and simulation methods, as means to study various energy efficiency and solar potential strategies, applied on neighborhood scale.

References

  1. 1.
    Britter R, Hanna S (2003) Flow and dispersion in urban areas. Annu Rev Fluid Mech 35:469–496zbMATHCrossRefGoogle Scholar
  2. 2.
    Srebric J, Heidarinejad M, Liu J (2015) Building neighborhood emerging properties and their impacts on multi-scale modeling of building energy and airflows. Build Environ 91:246–262CrossRefGoogle Scholar
  3. 3.
    Hang J, Li Y (2012) Macroscopic simulations of turbulent flows through high-rise building arrays using a porous turbulence model. Build Environ 49, 41–54CrossRefGoogle Scholar
  4. 4.
    Monteiro CS, Pina A, Cerezo C, Reinhart C, Ferrão P (2017) The use of multi-detail building archetypes in urban energy modelling. Energy Procedia 111:817–825CrossRefGoogle Scholar
  5. 5.
    Zhang X, Lovati M, Vigna I, Widén J, Han M, Gal C, Feng T (2018) A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions. Appl Energy 230:1034–1056CrossRefGoogle Scholar
  6. 6.
    Hachem C (2016) Impact of neighborhood design on energy performance and GHG emissions. J Appl Energy 177:422–434CrossRefGoogle Scholar
  7. 7.
    Monteiro CS, Pina A, Cerezo C, Reinhart C, Ferrão P (2017) The use of multi-detail building archetypes in urban energy modelling. Energy Procedia Google Scholar
  8. 8.
    Ko Y (2013) Urban form and residential energy use: A review of design principles and research findings. J Plan Lit 28(4):327–351CrossRefGoogle Scholar
  9. 9.
    Ratti C, Baker N, Steemers K (2005) Energy consumption and urban texture. Energy Build 37(7):762–776CrossRefGoogle Scholar
  10. 10.
    Rode P, Keim C, Robazza G, Viejo P, Schofield J (2014) Cities and energy: urban morphology and residential heat-energy demand. Environ Plan 41(1):138–162CrossRefGoogle Scholar
  11. 11.
    Christensen C, Horowitz S (2008) Orienting the neighborhood: a subdivision energy analysis tool, ACEEE Summer Study on Energy Efficiency in Buildings Pacific Grove, California, 17–22, AugustGoogle Scholar
  12. 12.
    Reinhart C, Dogan T, Jakubiec JA, Rakha T, Sang A (2013, August). Umi-an urban simulation environment for building energy use, daylighting and walkability. In: 13th conference of international building performance simulation association, Chambery, FranceGoogle Scholar
  13. 13.
    Aydinalp M, Ugursal VI, Fung AS (2004) Modeling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks. Appl Energy 79(2):159–178CrossRefGoogle Scholar
  14. 14.
    Iqbal MT (2004) A feasibility study of a zero energy home in Newfoundland. Renew Energy 29(2):277–289CrossRefGoogle Scholar
  15. 15.
    Vakiloroaya V, Samali B, Fakhar A, Pishghadam K (2014) A review of different strategies for HVAC energy saving. Energy Convers Manag 77:738–754CrossRefGoogle Scholar
  16. 16.
    De Boeck L, Verbeke S, Audenaert A, De Mesmaeker L (2015) Improving the energy performance of residential buildings: a literature review. Renew Sustain Energy Rev 52:960–975CrossRefGoogle Scholar
  17. 17.
    Kamel RS, Fung AS, Dash PR (2015) Solar systems and their integration with heat pumps: a review. Energy Build 87:395–412CrossRefGoogle Scholar
  18. 18.
    Natural Resources Canada (NRCan), Office of Energy Efficiency (2008) Heating and cooling with a heat pump. http://oee.nrcan.gc.ca/sites/oee.nrcan.gc.ca/files/pdf/publications/infosource/pub/home/heating-heat-pump/booklet.pdf
  19. 19.
    Natural Resources Canada (NRCan), Office of Energy Efficiency (2009) How a heat recovery ventilator works. http://oee.nrcan.gc.ca/residential/personal/new-homes/r-2000/standard/how-hrv-works.cfm?attr=4
  20. 20.
    Xue X, Wang S, Sun Y, Xiao F (2014) An interactive building power demand management strategy for facilitating smart grid optimization. Appl Energy 116:297–310CrossRefGoogle Scholar
  21. 21.
    Braun JE (2003) Load control using building thermal mass. J Sol Energy Eng 125(3):292–301CrossRefGoogle Scholar
  22. 22.
    Kemp WH (2006) The renewable energy handbook: a guide to rural energy independence, off-grid and sustainable living. Aztech Press, Tamworth, ONGoogle Scholar
  23. 23.
    Pelland S, Poissant Y (2006) An evaluation of the potential of building integrated photovoltaics in Canada. In: 31st annual conference of the solar energy society of Canada (SESCI). Aug 20–24th, Montréal, CanadaGoogle Scholar
  24. 24.
    Loonen R, Trčka M, Cóstola D, Hensen J (2013) Climate adaptive building shells: state-of the-art and future challenges. Renew Sustain Energy Rev 25:483–493CrossRefGoogle Scholar
  25. 25.
    Rogers JC, Simmons EA, Convery I, Weatherall A (2008) Public perceptions of opportunities for community-based renewable energy projects. Energy Policy 36(11):4217–4226CrossRefGoogle Scholar
  26. 26.
    Cuthbert R, Pan F, Nieminen K, Friedrich K, Wilkinson D, Cotton JS (2013) A solar PV-thermal energy design optimization study of a building footprint limited net-zero energy facility. ASHRAE Trans 119(1):188–202Google Scholar
  27. 27.
    Gavioli S, Seynhaeve J, Bartosiewicz Y (2012) Dynamic simulation of an ejector-based cooling system for residential solar air-conditioning. In: ASME 2012 international mechanical engineering congress and exposition (IMECE2012), 2012.  https://doi.org/10.1115/imece2012-88867
  28. 28.
    Hemidi A, Seynhaeve J, Bartosiewicz Y (2008) Designing and rating a Tritherm solar ejector system for residential cooling. An energetic and exergetic evaluation. In: 1st international conference on solar heating, cooling and buildings-EUROSUN 2008, Lisbon, Portugal, du 07/10/2008 au 10/10/2008Google Scholar
  29. 29.
    Rae C, Bradley F (2012) Energy autonomy in sustainable communities—a review of key issues. Renew Sustain Energy Rev 16(9):6497–6506CrossRefGoogle Scholar
  30. 30.
    Walker G, Simcock N, Smith SJ (2012) Community energy systems. In: Smith SJ (ed) International encyclopedia of housing and home, 1st edn. pp 194–198CrossRefGoogle Scholar
  31. 31.
    Debbarma M, Sudhakar K, Baredar P (2017) Thermal modeling, exergy analysis, performance of BIPV and BIPVT: a review. Renew Sustain Energy Rev 73:1276–1288CrossRefGoogle Scholar
  32. 32.
    Jelle PB (2016) Building integrated photovoltaics: a concise description of the current state of the art and possible research pathways. Energies 9:21–51CrossRefGoogle Scholar
  33. 33.
    Gu Y, Zhang X, Myhren JA, Han M, Chen X, Yuan Y (2018) Techno-economic analysis of a solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method. Energy Convers Manage 165:8–24CrossRefGoogle Scholar
  34. 34.
    Shukla AK, Sudhakar K, Baredar P (2017) Recent advancement in BIPV product technologies: a review. Energy Build 140:188–195CrossRefGoogle Scholar
  35. 35.
    Yan Y, Qian Y, Sharif H, Tipper D (2012) A survey on smart grid communication infrastructures: motivations, requirements and challenges. IEEE Commun Surv Tutor 15(1):5–20CrossRefGoogle Scholar
  36. 36.
    Koirala BP, Koliou E, Friege J, Hakvoort RA, Herder PM (2016) Energetic communities for community energy: a review of key issues and trends shaping integrated community energy systems. Renew Sustain Energy Rev 56:722–744CrossRefGoogle Scholar
  37. 37.
    O’Dwyer E, Pan I, Acha S, Shah N (2019) Smart energy systems for sustainable smart cities: current developments, trends and future directions. Appl Energy 237:581–597CrossRefGoogle Scholar
  38. 38.
    Koirala B, Chaves Ávila J, Gómez T, Hakvoort R, Herder P (2016) Local alternative for energy supply: performance assessment of integrated community energy systems. Energies 9(12):981CrossRefGoogle Scholar
  39. 39.
    Huang P, Sun Y (2019) A clustering based grouping method of nearly zero energy buildings for performance improvements. Appl Energy 235:43–55CrossRefGoogle Scholar
  40. 40.
    Harvey LD (2010) Energy and the new reality 2: carbon-free energy supply. RoutledgeGoogle Scholar
  41. 41.
    Zahedi A (2011) Maximizing solar PV energy penetration using energy storage technology. Renew Sustain Energy Rev 15(1):866–870CrossRefGoogle Scholar
  42. 42.
    van der Schoor T, Scholtens B (2016, February) Community energy: a critical review of the literature. In: Dynamics of energy, mobility and demand (DEMAND) conference 2016: what energy is for-the making and dynamics of demandGoogle Scholar
  43. 43.
    Chmutina K, Goodier CI (2014) Alternative future energy pathways: assessment of the potential of innovative decentralised energy systems in the UK. Energy Policy 66:62–72CrossRefGoogle Scholar
  44. 44.
    Geelen D, Reinders A, Keyson D (2013) Empowering the end-user in smart grids: recommendations for the design of products and services. Energy Policy 61:151–161CrossRefGoogle Scholar
  45. 45.
    Vigna I, Pernetti R, Pasut W, Lollini R (2018) New domain for promoting energy efficiency: energy flexible building cluster. Sustain Cities Soc 38:526–533CrossRefGoogle Scholar
  46. 46.
    Chatzipoulka C, Compagnon R, Nikolopoulou M (2016) Urban geometry and solar avail-ability on façades and ground of real urban forms: using London as a case study. Sol Energy 138:53–66.  https://doi.org/10.1016/j.solener.2016.09.005CrossRefGoogle Scholar
  47. 47.
    Steemers K (2003) Energy and the city: density, buildings and transport. Energy Build 35(1):3–14CrossRefGoogle Scholar
  48. 48.
    Knowles RL (1981) Sun rhythm form. The MIT Press, Cambridge, MassachusettsGoogle Scholar
  49. 49.
    Ewing R, Rong F (2008) The impact of urban form on US residential energy use. Hous Policy Debate 19(1):1–30CrossRefGoogle Scholar
  50. 50.
    Kaza N (2010) Understanding the spectrum of residential energy consumption: A quantile regression approach. Energy policy 38(11):6574–6585CrossRefGoogle Scholar
  51. 51.
    Macdonald RW, Griffiths RF, Hall DJ (1998) An improved method for the estimation of surface roughness of obstacle arrays. Atmos Environ 32(11):1857–1864CrossRefGoogle Scholar
  52. 52.
    Ko Y, Radke JD (2014) The effect of urban form and residential cooling energy use in Sacramento, California. Environ Plan 41(4):573–593CrossRefGoogle Scholar
  53. 53.
    Li C, Song Y, Kaza N (2018) Urban form and household electricity consumption: a multilevel study. Energy Build 158:181–193CrossRefGoogle Scholar
  54. 54.
    Hachem C, Fazio P, Athienitis A (2013) Solar optimized residential neighborhoods: evaluation and design methodology. Sol Energy 95:42–64CrossRefGoogle Scholar
  55. 55.
    Littlefair PJ (2000) Environmental site layout planning: solar access, microclimate and passive cooling in urban areas. BRE publicationsGoogle Scholar
  56. 56.
    Cheng V, Steemers K, Montavon M, Compagnon R (2006) Urban form, density and solar potential (No. CONF)Google Scholar
  57. 57.
    Oteman M, Wiering M, Helderman JK (2014) The institutional space of community initiatives for renewable energy: a comparative case study of the Netherlands, Germany and Denmark. Energy Sustain Soc 4(1):11CrossRefGoogle Scholar
  58. 58.
    La Roche PM (2017) Carbon-neutral architectural design. CRC PressGoogle Scholar
  59. 59.
    Gupta R, Garrigan C (2013, July) Developing and testing a global common carbon metric approach for measuring energy use and greenhouse gas emissions from building operations. In: Integrated approaches to sustainable building: developing theory and practice through international collaboration and learning. Proceedings of sustainable building and construction conference, pp 3–5Google Scholar
  60. 60.
    Nässén J, Holmberg J, Wadeskog A, Nyman M (2007) Direct and indirect energy use and carbon emissions in the production phase of buildings: an input–output analysis. Energy 32(9):1593–1602CrossRefGoogle Scholar
  61. 61.
    Swan LG, Ugursal VI (2009) Modeling of end-use energy consumption in the residential sector: a review of modeling techniques. Renew Sustain Energy Rev 13(8):1819–1835CrossRefGoogle Scholar
  62. 62.
    Hachem C, Athienitis A, Fazio P (2011) Parametric investigation of geometric form effects on solar potential of housing units. Sol Energy 85(9):1864–1877CrossRefGoogle Scholar
  63. 63.
    Huber J, Nytsch-Geusen C (2011, November) Development of modeling and simulation strategies for large-scale urban districts. In: Proceedings of building simulation, vol 2011, pp 1753–1760Google Scholar
  64. 64.
    Goretzki P (2013) GOSOL–Solarbüro für energieeffiziente Stadtplanung. http://www.gosol.de/index.html
  65. 65.
    Peckham RJ (1990) Shadowpack–P.C. version 2-0 user’s guideGoogle Scholar
  66. 66.
    Rich P, Hetrick W, Saving S (1995) Modeling topographic influences on solar radiation: a manual for the SOLARFLUX Model. Los Alamos, NMCrossRefGoogle Scholar
  67. 67.
    Skelion (2013) Skelion 5.0.7 user’s guideGoogle Scholar
  68. 68.
    Ecotect (2010) Autodesk ECOTECT analysisGoogle Scholar
  69. 69.
    Carneiro C, Morello E, Desthieux G, Golay F (2010) Urban environment quality indicators: application to solar radiation and morphological analysis on built area. In: Advances in visualization, imaging and simulation, pp 141–148Google Scholar
  70. 70.
    Hofierka J, Zlocha M (2012) A new 3-D solar radiation model for 3-D city models. Trans GIS 16(5), 681–690CrossRefGoogle Scholar
  71. 71.
    Jakubiec JA, Reinhart CF (2013) A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations. Sol Energy 93, 127–143CrossRefGoogle Scholar
  72. 72.
    Chow A, Fung A, Li S (2014) GIS modeling of solar neighborhood potential at a fine spatiotemporal resolution. Buildings 4(2):195–206CrossRefGoogle Scholar
  73. 73.
    Freitas S, Catita C, Redweik P, Brito MC (2015) Modelling solar potential in the urban environment: state-of-the-art review. Renew Sustain Energy Rev 41:915–931CrossRefGoogle Scholar
  74. 74.
    Knowles RL (2003) The solar envelope: its meaning for energy and buildings. Energy Build 35(1):15–25MathSciNetCrossRefGoogle Scholar
  75. 75.
    Morello E, Ratti C (2009) Sunscapes: “Solar envelopes” and the analysis of urban DEMs. Comput Environ Urban Syst 33(1):26–34CrossRefGoogle Scholar
  76. 76.
    Capeluto IG, Shaviv E (1997) Modeling the design of urban fabric with solar rights considerations. In: Proceedings of the ISES 1997 solar world congress. Taejon, Korea, pp 148–160Google Scholar
  77. 77.
    Compagnon R (2004) Solar and daylight availability in the urban fabric. Energy Build 36(4):321–328CrossRefGoogle Scholar
  78. 78.
    Kämpf JH, Montavon M, Bunyesc J, Bolliger R, Robinson D (2010) Optimisation of buildings’ solar irradiation availability. Sol Energy 84(4):596–603CrossRefGoogle Scholar
  79. 79.
    Baker N, Steemers K (2003) Energy and environment in architecture: a technical design guide. Taylor & FrancisGoogle Scholar
  80. 80.
    Remmen P, Lauster M, Mans M, Fuchs M, Osterhage T, Müller D (2018) TEASER: an open tool for urban energy modelling of building stocks. J Build Perform Simul 11(1):84–98CrossRefGoogle Scholar
  81. 81.
    Basarkar M, Pang X, Wang L, Haves P, Hong T (2011) Modeling and simulation of HVAC faults in EnergyPlus (No. LBNL-5564E). Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Architecture, Planning and LandscapeUniversity of CalgaryCalgaryCanada

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