---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22499'
abstract:
- lang: eng
  text: Increasing urban tree cover is a common strategy to lower urban temperatures
    and indirectly the building energy demand for air-conditioning (AC). However,
    urban vegetation leads to increasing humidity with potential negative effects
    on the AC dehumidification loads in hot-humid climates, an effect that has so
    far been unexplored. Here, we included a building energy model into the urban
    ecohydrological model Urban Tethys-Chloris (UT&C-BEM) to quantify the AC energy
    reduction effects of trees in seven hot cities with varying background humidity.
    A numerical experiment was performed simulating various urban densities and tree
    cover scenarios in the city-climates of Riyadh, Phoenix, Dubai, New Delhi, Singapore,
    Lagos, and Tokyo. The relative contribution of tree shade, air temperature reduction,
    and humidity increase on the AC energy reduction was further quantified. We found
    that well-watered trees provide the largest average summer AC energy reduction
    of −17% in the hot-dry climate (Riyadh, Phoenix). As tree shade is the dominant
    factor leading to the AC energy reduction in all city-climates, humid cities also
    show an average summer AC energy reduction ranging from −6% to −9%. However, increasing
    humidity is affecting AC dehumidification loads, especially under higher ventilation
    rates in humid climates and in these cities, AC energy reduction is most efficient
    with up to 40% tree cover. Additionally, we found that trees effectively reduce
    peak AC energy consumption due to higher shading effects in those hours. These
    results can inform urban planning strategies to maximize reduction in the AC energy
    demand using urban trees.
article_number: e2024MS004590
article_processing_charge: No
article_type: original
author:
- first_name: Naika
  full_name: Meili, Naika
  last_name: Meili
- first_name: Xing
  full_name: Zheng, Xing
  last_name: Zheng
- first_name: Yuya
  full_name: Takane, Yuya
  last_name: Takane
- first_name: Ko
  full_name: Nakajima, Ko
  last_name: Nakajima
- first_name: Kazuki
  full_name: Yamaguchi, Kazuki
  last_name: Yamaguchi
- first_name: Dengkai
  full_name: Chi, Dengkai
  last_name: Chi
- first_name: Yue
  full_name: Zhu, Yue
  last_name: Zhu
- first_name: Jing
  full_name: Wang, Jing
  last_name: Wang
- first_name: Yeshan
  full_name: Qiu, Yeshan
  last_name: Qiu
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Puay Yok
  full_name: Tan, Puay Yok
  last_name: Tan
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Meili N, Zheng X, Takane Y, et al. Modeling the effect of trees on energy demand
    for indoor cooling and dehumidification across cities and climates. <i>Journal
    of Advances in Modeling Earth Systems</i>. 2025;17(3). doi:<a href="https://doi.org/10.1029/2024ms004590">10.1029/2024ms004590</a>
  apa: Meili, N., Zheng, X., Takane, Y., Nakajima, K., Yamaguchi, K., Chi, D., … Fatichi,
    S. (2025). Modeling the effect of trees on energy demand for indoor cooling and
    dehumidification across cities and climates. <i>Journal of Advances in Modeling
    Earth Systems</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2024ms004590">https://doi.org/10.1029/2024ms004590</a>
  chicago: Meili, Naika, Xing Zheng, Yuya Takane, Ko Nakajima, Kazuki Yamaguchi, Dengkai
    Chi, Yue Zhu, et al. “Modeling the Effect of Trees on Energy Demand for Indoor
    Cooling and Dehumidification across Cities and Climates.” <i>Journal of Advances
    in Modeling Earth Systems</i>. American Geophysical Union, 2025. <a href="https://doi.org/10.1029/2024ms004590">https://doi.org/10.1029/2024ms004590</a>.
  ieee: N. Meili <i>et al.</i>, “Modeling the effect of trees on energy demand for
    indoor cooling and dehumidification across cities and climates,” <i>Journal of
    Advances in Modeling Earth Systems</i>, vol. 17, no. 3. American Geophysical Union,
    2025.
  ista: Meili N, Zheng X, Takane Y, Nakajima K, Yamaguchi K, Chi D, Zhu Y, Wang J,
    Qiu Y, Paschalis A, Manoli G, Burlando P, Tan PY, Fatichi S. 2025. Modeling the
    effect of trees on energy demand for indoor cooling and dehumidification across
    cities and climates. Journal of Advances in Modeling Earth Systems. 17(3), e2024MS004590.
  mla: Meili, Naika, et al. “Modeling the Effect of Trees on Energy Demand for Indoor
    Cooling and Dehumidification across Cities and Climates.” <i>Journal of Advances
    in Modeling Earth Systems</i>, vol. 17, no. 3, e2024MS004590, American Geophysical
    Union, 2025, doi:<a href="https://doi.org/10.1029/2024ms004590">10.1029/2024ms004590</a>.
  short: N. Meili, X. Zheng, Y. Takane, K. Nakajima, K. Yamaguchi, D. Chi, Y. Zhu,
    J. Wang, Y. Qiu, A. Paschalis, G. Manoli, P. Burlando, P.Y. Tan, S. Fatichi, Journal
    of Advances in Modeling Earth Systems 17 (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2025-03-01T00:00:00Z
date_updated: 2026-08-10T07:38:10Z
day: '01'
doi: 10.1029/2024ms004590
extern: '1'
fulldoi: https://doi.org/10.1029/2024ms004590
intvolume: '        17'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2024MS004590
month: '03'
oa: 1
oa_version: Published Version
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
  eissn:
  - 1942-2466
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Modeling the effect of trees on energy demand for indoor cooling and dehumidification
  across cities and climates
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 17
year: '2025'
...
