AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Impact assessment of climate change on buildings in Paraguay—Overheating risk under different future climate scenarios

Fabiana Silvero1,2( )Camilla Lops2Sergio Montelpare2Fernanda Rodrigues1
RISCO, Civil Engineering Department, University of Aveiro, Aveiro, 3810-193, Portugal
Engineering and Geology Department, University G. d´Annunzio, Pescara, 65122, Italy
Show Author Information

Abstract

This research seeks to evaluate the impact of climate change (CC) on the thermal performance of buildings. In particular, it is focused on historical residential buildings located in Asunción, Paraguay, a city characterised by a humid subtropical climate. Energy dynamic simulations of a representative building in its original state and an energy efficient version were assessed to evaluate the effectiveness of common energy retrofit measures under future climate conditions. Low and high Representative Concentration Pathways climate scenarios for 2030, 2050 and 2070 are employed with a CORDEX climate model and compared with observed weather data of 2009. Two thermal comfort assessment methods are considered, the statistic and the adaptive thermal comfort approach, where operative temperatures and overheating and underheating rates are analysed. As expected, the results show that the projected temperature rise will lead to an increment of discomfort rates, but it could be mitigated by energy refurbishment measures. Thus, CC effects on thermal performance of buildings are relevant and must be considered for the development of adaptation strategies able to manage this phenomenon. At present, Paraguay does not have any energy building codes and, instead, the results of this paper underline their needs with a substantial impact on society and building industry of Paraguay since it demonstrates that the creation of energy buildings codes is highly necessary to face CC impact on buildings.

References

 
B Aebischer, G Henderson, M Jakob, G Catenazzi (2007). Impact of climate change on thermal comfort, heating and cooling energy demand in Europe. In: Proceedings of ECEEE 2007 Summer Study—Saving Energy, pp. 859-870.
 
CA Alves, DHS Duarte, FLT Gonçalves (2016). Residential buildings’ thermal performance and comfort for the elderly under climate changes context in the city of São Paulo, Brazil. Energy and Buildings, 114: 62-71.
 
ASHRAE (2001). International Weather for Energy Calculations (IWEC Weather Files) Users Manual and CD-ROM. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air- Conditioning Engineers.
 
ASHRAE (2010). Standard 55-2010: Thermal Environmental Conditions for Human Occupancy. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
M Aries, M Bluyssen (2010). Climate Change Consequences for the Indoor Environment in The Netherlands. In: Proceedings of the Effect of Climate Change on Built Heritage, WTA-Colloquium, Eindhoven, the Netherlands, pp. 111-130.
 
R Barbosa, R Vicente, R Santos (2015). Climate change and thermal comfort in Southern Europe housing: A case study from Lisbon. Building and Environment, 92: 440-451.
 
P Berrisford, D Dee, K Fielding, M Fuentes, P Kallberg, S Kobayashi, S Uppala (2009). The ERA-Interim Archive. ERA Report Series, 1(1): 1-16. Available at http://www.ecmwf.int/publications/library/do/references/list/782009
 
ABNT (2008). NBR 16401: 2008 Instalações de ar-condicionado - Sistemas centrais e unitários - Parte 2: Parâmetros de conforto térmico. Brazilian Association of Technical Standards. Rio de Janeiro: Associação Brasileira de Normas Técnicas. (in Portuguese)
 
ABNT (2013). NBR 15575: 2013 Edificações Habitacionais - Desempenho Parte 1: Requisitos gerais Prefácio. Brazilian Association of Technical Standards. Rio de Janeiro: Associação Brasileira de Normas Técnicas. (in Portuguese)
 
I Camilloni, I Cavalcanti, T Ambrizzi (2006). Escenarios climáticos. In: V Barros, R Clarke, P Silva (eds), El cambio climático en la cuenca del Rio de la Plata. Buenos Aires, Argentina: Ediciones Cima. (in Spanish)
 
CEDIC, ID (2016). Evaluación de la vulnerabilidad y la capacidad para enfrentar a los desafíos y oportunidades del cambio climático en Paraguay - Escenario RCP 8.5 (Assessment of vulnerability and capacity to face the challenges and opportunities of climate change in Parag). Centro para el desarrollo de la investigación cientifica (CEDIC), & Investigacion para el desarrollo (ID). (in Spanish)
 
P Chalmers (2014). Climate Change: Implications for Buildings. University of Cambridge.
 
CIBSE (2006). Environmental Design. CIBSE Guide A, 7th edn. London: Chartered Institution of Building Services Engineers.
 
WJ Collins, N Bellouin, M Doutriaux-Boucher, N Gedney, P Halloran, et al. (2011). Development and evaluation of an Earth-system model-HadGEM2. Geoscientific Model Development, 4: 1051-1075.
 
Comisión Nacional de Cambio Climatico Paraguay (2016). Diseño del Plan Nacional de Adaptación al Cambio Climático. Asunción, Paraguay: Secretary of the Environment of Paraguay. (in Spanish)
 
CORDEX (n.d.). Earth System Grid Federation (ESGF). Coordinated Regional Climate Downscaling Experiment. Available at https://esg-dn1.nsc.liu.se/search/cordex.Accessed 25 Apr 2018.
 
DB Crawley (2008). Estimating the impacts of climate change and urbanization on building performance. Journal of Building Performance Simulation, 1: 91-115.
 
P de Wilde, W Tian (2009). Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change. Building Simulation, 2: 157-174.
 
Department of Energy U.S. (n.d.). EnergyPlus. Available at https://energyplus.net.Accessed 6 Aug 2018.
 
DesignBuilder Software (2018). DesignBuilder Software Ltd. Available at https://www.designbuilder.co.uk.
 
JA Dirks, WJ Gorrissen, JH Hathaway, DC Skorski, MJ Scott, et al. (2015). Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach. Energy, 79: 20-32.
 
H Djamila (2017). Indoor thermal comfort predictions: Selected issues and trends. Renewable and Sustainable Energy Reviews, 74: 569-580.
 
A Dodoo, L Gustavsson (2016). Energy use and overheating risk of Swedish multi-storey residential buildings under different climate scenarios. Energy, 97: 534-548.
 
ECLAC (2014). La economía del Cambio Climático en el Paraguay (Climate change economy in Paraguay). Economic Commission for Latin America and the Caribbean. Santiago, Chile: United Nations Publication. (in Spanish)
 
O Edenhofer, R Pichs-Madruga, Y Sokona, J Minx, S Brunner, S Agrawala (2014). Technical Summary. In: Climate Change 2014—Mitigation of Climate Change. Contribution of Working Group III to the fitth Assessment Report of the IPCC. Cambridge, UK: Cambridge University Press.
 
CEN (2014). EN 15251: Indoor environmental input parameters for the design and assessment of energy performance of buildings. European Committee for Standardization. Available at https://doi.org/CEN/TC 156WG19-N77.STD Version 2.1c.
 
Facultad de Arquitectura de la Universidad Nacional de Asunción (2005). Análisis de la situacion actual del Centro Histórico de la ciudad de Asunción. Asunción, Paraguay: Banco Interamericano de Desarrollo. (in Spanish)
 
P Fanger (1970). Thermal comfort: Analysis and applications in environmental engineering. Copenhagen: Danish Technical Press.
 
T Frank (2005). Climate change impacts on building heating and cooling energy demand in Switzerland. Energy and Buildings, 37: 1175-1185.
 
F Giorgi, C Jones, GR Asrar (2009). Addressing climate information needs at the regional level: The CORDEX framework. World Meteorological Organization Bulletin, 58(3): 175-183.
 
IPCC (2014). Summary for Policymakers. In: Climate Change 2013—The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1-30). Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
 
IRAM (1996). IRAM 11605: Acondicionamiento térmico de edificios. Condiciones de Habitabilidad en edificios. Valores maximos de transmitancia termica en cerramientos opacos. Argentine Institute for Standardization and Certification. (in Spanish)
 
C Kallakuri, S Vaidyanatha, M Kelly, R Cluett (2016). The 2016 International Energy Efficiency Scorecard. Washington DC: The American Council for an Energy-Efficient Economy (ACEEE).
 
S Kotlarski, K Keuler, OB Christensen, A Colette, M Déqué, et al. (2014). Regional climate modeling on European scales: A joint standard evaluation of the EURO-CORDEX RCM ensemble. Geoscientific Model Development, 7: 1297-1333.
 
M Levine, D Ürge-Vorsatz, K Blok, L Geng, D Harvey, et al. (2007). Residential and commercial buildings. In: Climate Change 2007— Mitigation: Contribution of Working Group III to the Fourth Assessment Report of the IPCC. Cambridge: Cambridge University Press.
 
DHW Li, L Yang, JC Lam (2012). Impact of climate change on energy use in the built environment in different climate zones—A review. Energy, 42: 103-112.
 
C Liu, T Kershaw, ME Eames, DA Coley (2016). Future probabilistic hot summer years for overheating risk assessments. Building and Environment, 105: 56-68.
 
V López, JR Lucchese, WA Andreasi (2015). Thermal comfort assessment in the hot and humid region of Paraguay: A comparison between three methodologies. International Journal of Civil & Environmental Engineering, 15(6): 26-31.
 
S Lu, B Pang, Y Qi, K Fang (2018). Field study of thermal comfort in non-air-conditioned buildings in a tropical island climate. Applied Ergonomics, 66: 89-97.
 
O Lucon, D Ürge-Vorsatz, A Zain Ahmed, H Akbari, P Bertoldi, et al. (2014). Buildings. In: Climate Change 2014—Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the IPCC. Cambridge: Cambridge University Press.
 
Mapplecroft (2014). Vulnerability Index to climate change in the Latin American and Caribbean Region. Development Bank of Latin America.
 
EP Marques Filho, AP Oliveira, WA Vita, FLL Mesquita, G Codato, et al. (2016). Global, diffuse and direct solar radiation at the surface in the city of Rio de Janeiro: Observational characterization and empirical modeling. Renewable Energy, 91: 64-74.
 
KJ McCartney, JF Nicol (2002). Developing an adaptive control algorithm for Europe. Energy and Buildings, 34: 623-635.
 
AP Melo, M Fossati, RS Versage, MJ Sorgato, VA Scalco, R Lamberts (2016). Development and analysis of a metamodel to represent the thermal behavior of naturally ventilated and artificially air- conditioned residential buildings. Energy and Buildings, 112: 209-221.
 
Ministerio da Economia e do Emprego (2013). Decreto Lei N° 118/2013 de 20 de Agosto - Regulamento de Desempenho Energetico dos Edifícios de Habitaçao (REH). Lisboa: Diario de la Republica, N°159 1ra serie.(in Portuguese)
 
Ministerio de Vivienda y Urbanismo del Gobierno de Chile (2018). Estándares de Construcción Sustentable para viviendas de Chile, Tomo I: Salud y Bienestar (División Técnica de Estudio y Fomento Habitacional). Santiago: de Chile. (in Spanish)
 
Ministero dello Sviluppo Economico (2015). Decreto Ministeriale 26/6/2015. No. 162. Adeguamento linee guida nazionali per la certificazione energetica degli edifici. Italy. (in Italian)
 
NOAA (2017). State of the Climate: Global Climate Report for Annual 2015. National Oceanic and Atmospheric Administration. Available at https://www.ncdc.noaa.gov/sotc/global/201513.Accessed 8 Nov 2017.
 
S Patidar, DP Jenkins, GJ Gibson, PFG Banfill (2013). Analysis of probabilistic climate projections: Heat wave, overheating and adaptation. Journal of Building Performance Simulation, 6: 65-77.
 
MC Peel, BL Finlayson, TA McMahon (2007). Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences Discussions, 4: 439-473.
 
L Pierangioli, G Cellai, R Ferrise, G Trombi, M Bindi (2017). Effectiveness of passive measures against climate change: Case studies in Central Italy. Building Simulation, 10: 459-479.
 
F Rubel, M Kottek (2010). Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification. Meteorologische Zeitschrift, 19: 135-141.
 
T Sanford, PC Frumhoff, A Luers, J Gulledge (2014). The climate policy narrative for a dangerously warming world. Nature Climate Change, 4: 164-166.
 
Secretary of the Environment of Paraguay (SEAM) (2011). Segunda Comunicación Nacional Cambio Climático Paraguay (Second National Communication on Climate change Paraguay). Asunción, Paraguay. Available at https://doi.org/1234564879745612.(in Spanish)
 
SEAM (2014). Paraguay: Plan Nacional de Cambio Climático Fase 1: Estrategia de mitigación. Asunción, Paraguay: Secretary of the Environment of Paraguay. (in Spanish)
 
SEAM, UNDP, GEF (2017). Tercera comunicación nacional de Paraguay a la Convención Marco de las Naciones Unidas sobre el Cambio Climático. Secretary of the Environment of Paraguay (SEAM), United Nations Development Programme (UNDP), & Global Environment Facility (GEF). Asunción, Paraguay: Secretary of the Environment of Paraguay. (in Spanish)
 
S Talukdar, N Banthia (2016). Carbonation in concrete infrastructure in the context of global climate change: Model refinement and representative concentration pathway scenario evaluation. Journal of Materials in Civil Engineering, 28(4): 04015178.
 
MA Triana, R Lamberts, P Sassi (2018). Should we consider climate change for Brazilian social housing? Assessment of energy efficiency adaptation measures. Energy and Buildings, 158: 1379-1392.
 
UNDP (2007). Cambio Climático: Riesgos, vulnerabilidad y desafio de adaptación en el Paraguay. (Climate change: Risks, vulnerability and adaptation challenges for Paraguay) (Creative Park). United Nations Development Programme, Mercurio. (in Spanish)
 
T van Hooff, B Blocken, HJP Timmermans, JLM Hensen (2016). Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building. Energy, 94: 811-820.
 
DP van Vuuren, JA Edmonds, M Kainuma, K Riahi, J Weyant (2011a). A special issue on the RCPs. Climatic Change, 109: 1-4.
 
DP van Vuuren, J Edmonds, M Kainuma, K Riahi, A Thomson, et al. (2011b). The representative concentration pathways: An overview. Climatic Change, 109: 5-31.
 
KKW Wan, DHW Li, JC Lam (2011). Assessment of climate change impact on building energy use and mitigation measures in subtropical climates. Energy, 36: 1404-1414.
 
P Wankanapon, RG Mistrick (2011). Roller shades and automatic lighting control with solar radiation control strategies. Built, 1: 35-42.
Building Simulation
Pages 943-960
Cite this article:
Silvero F, Lops C, Montelpare S, et al. Impact assessment of climate change on buildings in Paraguay—Overheating risk under different future climate scenarios. Building Simulation, 2019, 12(6): 943-960. https://doi.org/10.1007/s12273-019-0532-6

636

Views

18

Crossref

N/A

Web of Science

19

Scopus

0

CSCD

Altmetrics

Received: 03 October 2018
Revised: 11 January 2019
Accepted: 20 February 2019
Published: 16 April 2019
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019
Return