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Impact of outdoor humidity conditions on building energy performance and environmental footprint in the degree days-based climate classification

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  • Kheiri, Farshad
  • Haberl, Jeff S.
  • Baltazar, Juan-Carlos

Abstract

Climate classification for buildings plays an essential role in providing energy efficiency policies enforced through building energy standards, codes, and the related voluntary above-code programs, as well as in achieving decarbonization goals. Through an analysis of code-compliant office models in 801 locations in the US in this paper, first, a systematic difference is identified in building energy use, and its corresponding environmental footprint, in different locations within the same ranges of heating and/or cooling degree days but with different humidity conditions. The results show that the source energy consumption vary up to 1671 GJ (47%, excluding the equipment load) in two locations with the same climate zone but different moisture conditions. This is due to the deficiency of the degree days in predicting building energy consumption and results in a disproportionate assignment of energy efficiency measures. Second, besides similar trends when comparing the averages in subtypes, the variations in emissions within one climate zone and subtype can be over 10 times for CO2 and 6 times for SO2 as opposed to site energy consumption with less than 1.8 maximum variation, which signifies a substantial importance of geographic prioritization in carbon-neutral policies for the electricity providers along with climatic parameters.

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  • Kheiri, Farshad & Haberl, Jeff S. & Baltazar, Juan-Carlos, 2023. "Impact of outdoor humidity conditions on building energy performance and environmental footprint in the degree days-based climate classification," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223018418
    DOI: 10.1016/j.energy.2023.128447
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    1. Ciulla, Giuseppina & Lo Brano, Valerio & D’Amico, Antonino, 2016. "Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level," Applied Energy, Elsevier, vol. 183(C), pages 1021-1034.
    2. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    3. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    4. Kaufmann, Robert K. & Gopal, Sucharita & Tang, Xiaojing & Raciti, Steve M. & Lyons, Paul E. & Geron, Nick & Craig, Francis, 2013. "Revisiting the weather effect on energy consumption: Implications for the impact of climate change," Energy Policy, Elsevier, vol. 62(C), pages 1377-1384.
    5. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    6. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    7. Sailor, David J, 2001. "Relating residential and commercial sector electricity loads to climate—evaluating state level sensitivities and vulnerabilities," Energy, Elsevier, vol. 26(7), pages 645-657.
    8. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications - Books, The World Bank Group, number 17280.
    9. Ruth, Matthias & Lin, Ai-Chen, 2006. "Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA," Energy Policy, Elsevier, vol. 34(17), pages 2820-2833, November.
    10. Papakostas, K. & Kyriakis, N., 2005. "Heating and cooling degree-hours for Athens and Thessaloniki, Greece," Renewable Energy, Elsevier, vol. 30(12), pages 1873-1880.
    11. Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
    12. Ihara, T. & Genchi, Y. & Sato, T. & Yamaguchi, K. & Endo, Y., 2008. "City-block-scale sensitivity of electricity consumption to air temperature and air humidity in business districts of Tokyo, Japan," Energy, Elsevier, vol. 33(11), pages 1634-1645.
    13. Roshan, Gh.R. & Orosa, J.A & Nasrabadi, T., 2012. "Simulation of climate change impact on energy consumption in buildings, case study of Iran," Energy Policy, Elsevier, vol. 49(C), pages 731-739.
    14. Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
    15. Dall’O’, Giuliano & Sarto, Luca & Sanna, Nicola & Tonetti, Valeria & Ventura, Martina, 2015. "On the use of an energy certification database to create indicators for energy planning purposes: Application in northern Italy," Energy Policy, Elsevier, vol. 85(C), pages 207-217.
    16. De Rosa, Mattia & Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach," Applied Energy, Elsevier, vol. 128(C), pages 217-229.
    17. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    18. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2019. "Validation of the climatic zoning defined by ASHRAE standard 169-2013," Energy Policy, Elsevier, vol. 135(C).
    Full references (including those not matched with items on IDEAS)

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