Abstract
The paper is part of the scientific research sector concerning the government of urban transformations in order to promote efficiency and reduction of energy consumption in urban areas. In this study, urban greenspaces (green areas) are proposed as a strategy for cities to achieve both urban sustainability and resilience while addressing the issues of energy reduction and climate change adaptation. The study investigated the microclimate impact of greenspaces on the cooling energy needs of residential buildings in Naples, Italy, given different urban fabric characteristics by coupling the microclimate model ENVI-met with the building energy model EnergyPlus. The charts resulted from the study could represent an useful decision support tool for urban planners and policy-makers to locate and size greenspaces based on their effectiveness in terms of energy consumption reduction. The study found that—in general—a medium-size green area (4900 m2) would reduce the cooling energy consumption by 9.20% which is more than double the effect of a large green area (32,400 m2).
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References
Resilient Cities (2017) Urban resilience. http://www.100resilientcities.org/resources. Accessed 23 Sep 2017
Akbari H, Konopacki S (2005) Calculating energy-saving potentials of heat-island reduction strategies. Energy Policy. https://doi.org/10.1016/j.enpol.2003.10.001
Bouyer J, Inard C, Musy M (2011) Microclimatic coupling as a solution to improve building energy simulation in an urban context. Energy Build. https://doi.org/10.1016/j.enbuild.2011.02.010
Brundtland GH (1987) Our common future: report of the world commission on environment and development. United Nations Comm 4:300. https://doi.org/10.1080/07488008808408783
Bulkeley H, Betsill MM (2005) Rethinking sustainable cities: multilevel governance and the “urban” politics of climate change. Env Polit 14:42–63. https://doi.org/10.1080/0964401042000310178
Corrado V, Ballarini I, Corgnati SP, Dipartimento T (2012) Typology approach for building stock national scientific report on the TABULA activities in Italy
Crawley DB, Hand JW, Kummert M, Griffith BT (2008) Contrasting the capabilities of building energy performance simulation programs. Build Environ 43:661–673. https://doi.org/10.1016/j.buildenv.2006.10.027
Da Silva J, Moench M (2014) City resilience framework. Arup 2014. http://www.seachangecop.org/files/documents/URF_Bo
DesignBuilder (2017) DesignBuilder Help v5.0. https://www.designbuilder.co.uk/helpv5.0/. Accessed 24 Sep 2017
Echevarria Icaza L, Van Der Hoeven F, Van Den Dobbelsteen A (2016) Surface thermal analysis of North Brabant cities and neighbourhoods during heat waves. Tema J L Use, Mobil Environ 9:63–87. https://doi.org/10.6092/1970-9870/3741
EnergyPlus (2017) Testing and validation. https://energyplus.net/testing. Accessed 19 Sep 2017
Fahmy M, El-Hady H, Mahdy M, Abdelalim MF (2017) On the green adaptation of urban developments in Egypt; predicting community future energy efficiency using coupled outdoor-indoor simulations. Energy Build 153:241–261. https://doi.org/10.1016/j.enbuild.2017.08.008
Fumo N (2014) A review on the basics of building energy estimation. Renew Sustain Energy Rev 31:53–60. https://doi.org/10.1016/j.rser.2013.11.040
Gargiulo C, Lombardi C (2016) Urban retrofit and resilience: the challenge of energy efficiency and vulnerability. Tema J L Use, Mobil Environ 9:137–162. https://doi.org/10.6092/1970-9870/3922
Gargiulo C, Tulisi A, Zucaro F (2016) Small green areas for energy saving: effects on different urban settlements. ACE Archit City Environ. https://doi.org/10.5821/ace.11.32.4659
Gargiulo C, Tulisi A, Zucaro F (2017) Chapter 11: climate change-oriented urban green network design: a decision support tool. In: Gakis K, Pardalos P (eds) Network design and optimization for smart cities, world scientific, series on computers and operations research: volume 8, ISBN: 978-981-3200-00-5 (hardcover), ISBN: 978-981-3200-02-9 (ebook), http://www.worldscientific.com/doi/abs/10.1142/9789813200012_0011
Gros A, Bozonnet E, Inard C, Musy M (2016) A new performance indicator to assess building and district cooling strategies. In: Procedia engineering
Grubler A, Bai X, Buettner T, et al (2013) Urban energy systems. Glob Energy Assess Towar a Sustain Futur 1307–1400. https://doi.org/10.4324/9780203066782
Harter G, Sinha J, Sharma A, Dave S (2010) Sustainable urbanization: the role of ICT in city development. Booz Co Inc 1–13
van der Heijden J (2014) Governance for urban sustainability and resilience: responding to climate change and the relevance of the built environment. Edward Elgar, UK
IBPSA-USA (2012) BEMBook wiki: energy modeling methodology (Comparison vs. Prediction). http://bembook.ibpsa.us/index.php/Comparison_vs._Prediction. Accessed 19 Sep 2017
IEA (2013) Transition to sustainable buildings—strategies and opportunities to 2050
ISTAT (2011) Data warehouse of the 2011 population and housing census. http://dati-censimentopopolazione.istat.it
Academies National (2016) Pathways to urban sustainability: challenges and opportunities for the United States. The National Academies Press, Washington, DC
Palombo A, Buonomano A, De Luca G (2012) Relazione specialistica sull’efficienza energetica negli edifici (climatizzazione e acqua calda sanitaria)
Papa R, Gargiulo C, Cristiano M et al (2015) Less Smart More City. Tema J L Use, Mobil Environ 8:159–182. https://doi.org/10.6092/1970-9870/3012
Papa R, Gargiulo C, Zucaro F (2014a) Climate change and energy sustainability. Which innovations in European strategies and plans. Tema J L Use, Mobil Environ. https://doi.org/10.6092/1970-9870/2554
Papa R, Gargiulo C, Zucaro F (2014b) Urban systems and energy consumptions: a critical approach. Tema J L Use, Mobil Environ. https://doi.org/10.6092/1970-9870/2552
Papa R, Gargiulo C, Carpentieri G (2014c) Integrated urban system and energy consumption model: residential buildings. Tema J L Use, Mobil Environ. https://doi.org/10.6092/1970-9870/2473
Papa R, Gargiulo C, Zucaro F (2016) Towards the definition of the urban saving energy model (UrbanSEM). Springer, Berlin, pp 151–175
Pastore L, Corrao R, Heiselberg PK (2017) The effects of vegetation on indoor thermal comfort: the application of a multi-scale simulation methodology on a residential neighborhood renovation case study. Energy Build. https://doi.org/10.1016/j.enbuild.2017.04.022
Roset J, Vidmar J (2013) Evaluation of simulation tools for assessment of urban form based on physical performance. Environ Phys Archit 18
Sharifi A, Yamagata Y (2016) Principles and criteria for assessing urban energy resilience: a literature review. Renew Sustain Energy Rev 60:1654–1677. https://doi.org/10.1016/j.rser.2016.03.028
Skelhorn C (2013) A fine scale assessment of urban greenspace impacts on microclimate and building energy in Manchester. The University of Manchester
Skelhorn CP, Levermore G, Lindley SJ (2016) Impacts on cooling energy consumption due to the UHI and vegetation changes in Manchester, UK. Energy Build. https://doi.org/10.1016/j.enbuild.2016.01.035
Taha H, Chieh Chang S, Akbari H (2000) Meteological and air quality impacts of heat island mitigation measures in three U.S. Cities, pp 1–61
Tan J, Zheng Y, Tang X et al (2010) The urban heat island and its impact on heat waves and human health in Shanghai. Int J Biometeorol 54:75–84. https://doi.org/10.1007/s00484-009-0256-x
U.S. EIA (2016) International energy outlook 2016
UNI/TS 11300-1:2014 Energy performance of buildings—part 1: evaluation of energy need for space heating and cooling
UNI EN 15251:2008 Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics
Zhang X, Li H (2017) Urban resilience and urban sustainability: what we know and what do not know? Cities 72:141–148. https://doi.org/10.1016/j.cities.2017.08.009
Acknowledgements
The work was carried out under the scientific and methodological guidance of C. Gargiulo. Sharing objectives, approaches and method of work, Ayad wrote § 3, Gargiulo § 4, Tulisi § 2 and Zucaro §§1 and 5.
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Gargiulo, C., Ayad, A., Tulisi, A., Zucaro, F. (2018). Effect of Urban Greenspaces on Residential Buildings’ Energy Consumption: Case Study in a Mediterranean Climate. In: Papa, R., Fistola, R., Gargiulo, C. (eds) Smart Planning: Sustainability and Mobility in the Age of Change. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-77682-8_7
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