CoChat
Sign Up
Cited by 25Building Energy and Comfort OptimizationUrban Heat Island MitigationWind and Air Flow Studies

The DOI matches its Crossref record; the references it cites are not checked yet.

Impact of climate change on building cooling potential of direct ventilation and evaporative cooling: A high resolution view for the Iberian Peninsula

Open access
Campaniço, Hugo, Soares, Pedro M.M., Cardoso, Rita M., Hollmuller, Pierre·2019·Energy and Buildings
DOI 10.1016/j.enbuild.2019.03.017
Open this paper in CoChat — free accountOpen PDF

Overview

Integrity signals

Registry

Crossref · 10.1016/j.enbuild.2019.03.017

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

The citation lists haven’t been fetched yet

References 53 · Cited by 25

Research works printed but not linked: 53

  1. Schaeffer, 2012, 2012: energy sector vulnerability to climate change: a review, Energy, 38, 1, 10.1016/j.energy.2011.11.056 · DOI
  2. Berardi, 2015, Building energy consumption in US, EU, and BRIC countries, International Conference on Sustainable Design, Engineering and Construction, Proc. Eng., 118, 128, 10.1016/j.proeng.2015.08.411 · DOI
  3. Energy, transport and environmental indicators, Eurostat Pocketbooks, 2013 edition, ISSN 1725-4566
  4. Aebischer B., Jakob M., G. Henderson, M. Jakob, Catenazzi G., Impact of climate change on thermal comfort, heating and cooling energy demand in Europe. Proceedings ECEEE 2007 Summer Study “Saving Energy – Just do it!”. 4–9 June 2007, La Colle sur Loup, France. ISBN: 978-91-633-0899-4.
  5. Aebischer B., G. Henderson and G. Catenazzi, Impact of climate change on energy demand in the Swiss service sector - and application to Europe. In Bertoldi P. and B. Atanasiu (editors), “Improving Energy Efficiency in Commercial Buildings”. Proceeding of the International Conference IEECB’06, Frankfurt, Germany, 26 / 27 April 2006. European Communities, EUR 22316 EN, ISBN 92-79-02748-4.
  6. Artmann, 2007, Climatic potential for passive cooling of buildings by night-time ventilation in Europe, Appl. Energy, 84, 187, 10.1016/j.apenergy.2006.05.004 · DOI
  7. Geros, 2005, On the cooling potential of night ventilation techniques in the urban environment, Energy Buildings, 37, 243, 10.1016/j.enbuild.2004.06.024 · DOI
  8. Santamouris, 2010, On the efficiency of night ventilation techniques applied to residential buildings, Energy Buildings, 42, 1309, 10.1016/j.enbuild.2010.02.024 · DOI
  9. Santamouris, 1994, Energy characteristics and savings potential in office buildings, Solar Energy, 52, 59, 10.1016/0038-092X(94)90081-C · DOI
  10. Yang, 2015, A review of membrane-based air dehumidification, Indoor Built Environ., 24, 11, 10.1177/1420326X13500294 · DOI
  11. Duan, 2012, Indirect evaporativecooling: past, present and future potentials, Renew. Sustainable Energy Rev., 16, 6823, 10.1016/j.rser.2012.07.007 · DOI
  12. Chen, 2010, A new approach to analysis and optimization of evaporative cooling system I: theory, Energy, 35, 2448, 10.1016/j.energy.2010.02.037 · DOI
  13. Goshayshi, 1999, Cooling tower-an energy conservation resource, Appl. Therm. Eng., 19, 1223, 10.1016/S1359-4311(98)00119-7 · DOI
  14. Zohra, 1996, A Passive evaporative cooling system by natural ventilation, Building Environ., 31, 503, 10.1016/0360-1323(96)00024-8 · DOI
  15. Heidarinejad, 2009, Experimental investigation of two-stage indirect/direct evaporative cooling system in various climatic conditions, Building Environ., 44, 2073, 10.1016/j.buildenv.2009.02.017 · DOI
  16. Delfania, 2010, Energy saving potential of an indirect evaporative cooler as a pre-cooling unit for mechanical cooling systems in Iran, Energy Buildings, 42, 2169, 10.1016/j.enbuild.2010.07.009 · DOI
  17. Farmahini-Farahani, 2012, Exergy analysis of evaporative cooling to select the optimum system in diverse climates, Energy, 40, 250, 10.1016/j.energy.2012.01.075 · DOI
  18. Kim, 2013, Cooling performance of a 100% outdoor air system integrated with indirect and direct evaporative coolers, Energy, 52, 245, 10.1016/j.energy.2013.02.008 · DOI
  19. Campaniço, 2016, Climatic cooling potential and building cooling demand savings: high resolution spatiotemporal analysis of direct ventilation and evaporative cooling for the Iberian Peninsula, Renew. Energy, 85, 766, 10.1016/j.renene.2015.07.038 · DOI
  20. Campaniço, 2014, Assessing energy savings in cooling demand of buildings using passive cooling systems based on ventilation, Appl. Energy, 134, 426, 10.1016/j.apenergy.2014.08.053 · DOI
  21. Hanby, 2012, Simulation of the future performance of low-energy evaporative cooling systems using UKCP09 climate projections, Building Environ., 55, 110, 10.1016/j.buildenv.2011.12.018 · DOI
  22. Gupta, 2012, Using UK climate change projections to adapt existing English homes for a warming climate, Building Environ., 55, 20, 10.1016/j.buildenv.2012.01.014 · DOI
  23. Frank, 2005, Climate change impacts on building heating and cooling energy demand in Switzerland, Energy Buildings, 37, 1175, 10.1016/j.enbuild.2005.06.019 · DOI
  24. Jylhä, 2015, Energy demand for the heating and cooling of residential houses in Finland in a changing climate, EnergyBuildings, 99, 104
  25. Berger, 2014, Impacts of climate change upon cooling and heating energy demand of office buildings in Vienna, Austria, Energy Buildings, 80, 517, 10.1016/j.enbuild.2014.03.084 · DOI
  26. Marta, 2014, Revisiting cooling energy requirements of residential buildings in Portugal in light of climate change, Energy Buildings, 76, 354
  27. Sajjadian, 2015, The potential of phase change materials to reduce domestic cooling energy loads for current and future UK climates, Energy Buildings, 93, 83, 10.1016/j.enbuild.2015.02.029 · DOI
  28. Dickinson, 1989, A regional climate model for the western United States, Clim. Change, 15, 383, 10.1007/BF00240465 · DOI
  29. Katragkou, 2015, Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble, Geosci. Model Dev., 8, 603, 10.5194/gmd-8-603-2015 · DOI
  30. Rummukainen, 2010, State-of-the-art with regional climate models, Clim. Change, 1, 82
  31. Soares, 2015, Climate change impact on Portuguese precipitation: ENSEMBLES regional climate model results, Climate Dyn., 45, 1771, 10.1007/s00382-014-2432-x · DOI
  32. Soares, 2017, Future precipitation in Portugal: high resolution regional climate simulation projections, Climate Dyn., 10.1007/s00382-016-3455-2 · DOI
  33. Soares, 2012, WRF high resolution dynamical downscaling of ERA-Interim for Portugal, Climate Dyn., 110
  34. Cardoso, 2013, WRF high resolution simulation of Iberian mean and extreme precipitation climate, Int. J. Climatol., 33, 2591, 10.1002/joc.3616 · DOI
  35. Rios-Entenza, 2014, Moisture recycling in the Iberian Peninsula from a regional climate simulation: spatiotemporal analysis and impact on the precipitation regime, J. Geophys. Res. Atmos., 119
  36. Martins, 2015, The diurnal cycle of coastal cloudiness over west Iberia using Meteosat/SEVIRI and a WRF regional climate model simulation, Int. J. Climate
  37. Dee, 2011, The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Quarterly J. Royal Meteorological Soc., 137, 553, 10.1002/qj.828 · DOI · Paper page
  38. Soares, 2016, High resolution projections for the Western Iberian Coastal Low level jet in a changing climate, Climate Dyn.
  39. Magarreiro, 2015, WRF model solar energy estimates in Iberian Peninsula, Submitted Renew. Sustainable Energy Rev.
  40. Nogueira, 2018, High-resolution multi-model projections of onshore wind resources over Portugal under a changing climate, Theor. Appl. Climatol.
  41. Sá, 2017, Evaluating fire growth simulations using satellite active fires data, Remote Sens. Environ., 190, 302, 10.1016/j.rse.2016.12.023 · DOI
  42. Pinto, 2016, 2015: “Probabilistic Fire Spread Forecast as a Tool for Fire Management in an Operational Setting, Springerplus, 5, 1205, 10.1186/s40064-016-2842-9 · DOI
  43. Hazeleger, 2010, EC- Earth: a Seam less Earth System Prediction Approach in Action, Bullet Am. Meteorological Soc., 91, 1
  44. Soares, 2017, Future precipitation in Portugal: high-resolution projections using WRF model and EURO-CORDEX multi-model ensembles, Clim. Dyn., 10.1007/s00382-016-3455-2 · DOI
  45. Cardoso, 2018, Mean and extreme temperatures in a warming climate: WRF model and EURO CORDEX regional climate simulation results for Portugal, Clim. Dyn., 129
  46. Soares, 2017, Western Iberian Offshore Wind Resources: more or less in a global warming climate? October 2017, Appl. Energy, 203, 72, 10.1016/j.apenergy.2017.06.004 · DOI
  47. Rosa, 2014, Tagliafico, heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach, Appl. Energy, 128, 217, 10.1016/j.apenergy.2014.04.067 · DOI
  48. Jakubcionis, 2017, Estimation of European Union residential sector space cooling potential, Energy Policy, 101, 225, 10.1016/j.enpol.2016.11.047 · DOI
  49. Al-Ajmia, 2006, The cooling potential of earth–air heat exchangers for domestic buildings in a desert climate, Build Environ., 41, 235, 10.1016/j.buildenv.2005.01.027 · DOI
  50. Huijun, 2007, Modelling and evaluation of cooling capacity of earth–air–pipe systems, Energy Convers Manage, 48, 1462, 10.1016/j.enconman.2006.12.021 · DOI
  51. Abdelkrim, 2012, The potential of earth– air heat exchangers for low energy cooling of buildings in South Algeria, Energy Proc., 18, 496, 10.1016/j.egypro.2012.05.061 · DOI
  52. Pierre, 2001, Cooling and preheating with buried pipe systems: monitoring, simulation and economic aspects, Energy Build, 33, 509, 10.1016/S0378-7788(00)00105-5 · DOI
  53. Maerefat, 2010, Passive cooling of buildings by using integrated earth to air heat exchanger and solar chimney, Renew. Energy, 35, 2316, 10.1016/j.renene.2010.03.003 · DOI

Metadata

Authors
Campaniço, H., Soares, P. M. M., Cardoso, R. M., & Hollmuller, P.
Affiliations
  • University of Lisbon (PT)
  • University of Geneva (CH)
Corresponding author
Campaniço, Hugo
ORCID
Venue
Energy and Buildings
Publisher
Elsevier BV
Published
2019-06
Volume
192
Pages
31-44
ISSN
0378-7788 (ISSN-L)
DOI
10.1016/j.enbuild.2019.03.017
OpenAlex
W2921048581
Cited by
25
References
53
Citations by year
2026: 1 · 2025: 7 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 5 · 2020: 5 · 2019: 1
FWCI
2.18
Type
journal article
Language
en
Open access
Licence
Locations
  • Energy and Buildings (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders
Fundação para a Ciência e a Tecnologia (UID/GEO/50019/ 2013)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
Keywords
climate change impacts, building cooling demand, evaporative cooling, passive cooling systems, energy conservation, Iberian Peninsula, high-resolution climate projections, air flow rate, temperature rise

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review