A New and Easy Method to Determine the Energy Stored in Urban Areas: A Case Study of Mexico City

Urban areas present different climates from those of their rural surroundings. Energy balance and especially energy storage play important roles in the resulting climate since more than 50% of the net radiation is absorbed in densely urbanized areas. A simple model of energy storage in the urban fabric is presented, fed with the air temperature of a given area and its thermal properties; it can estimate heat storage (QS) with good results. The proposed QST energy storage model was compared with QS results obtained from two sites in Mexico City, Escandón (objective hysteresis model, QSOHM) and ENP7 (residual, QSRES), and one site in Marseille, France (thermal mass scheme, QSTMS). The comparison between QST and QSOHM showed that r2 = 0.71, while in ENP7 (QN > 0), QSRES and QST were 116.5 Wm−2 and 142 Wm−2, corresponding to 49% and 60% of the QN, respectively. The results obtained using the QSTMS model in Marseille and QST in Escandón showed similar behavior, with RMSEs of 109 and 101 Wm−2, respectively, in a daily period. Although it is difficult to discern which method is better, it is possible to affirm that the presented method is quite accurate, easier to use, and inexpensive.

Authors

Institutions

Publication Details

Journal
Urban Science
Published
2024-12-04
DOI
https://doi.org/10.3390/urbansci8040244
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New and Easy Method to Determine the Energy Stored in Urban Areas: A Case Study of Mexico City

Vı́ctor L. Barradas, Martín Bonifacio-Bautista, Mónica Ballinas
Urban Science
Building Energy and Comfort Optimization
article

A New and Easy Method to Determine the Energy Stored in Urban Areas: A Case Study of Mexico City

Vı́ctor L. Barradas, Martín Bonifacio-Bautista, Mónica Ballinas
article en

Abstract

Urban areas present different climates from those of their rural surroundings. Energy balance and especially energy storage play important roles in the resulting climate since more than 50% of the net radiation is absorbed in densely urbanized areas. A simple model of energy storage in the urban fabric is presented, fed with the air temperature of a given area and its thermal properties; it can estimate heat storage (QS) with good results. The proposed QST energy storage model was compared with QS results obtained from two sites in Mexico City, Escandón (objective hysteresis model, QSOHM) and ENP7 (residual, QSRES), and one site in Marseille, France (thermal mass scheme, QSTMS). The comparison between QST and QSOHM showed that r2 = 0.71, while in ENP7 (QN > 0), QSRES and QST were 116.5 Wm−2 and 142 Wm−2, corresponding to 49% and 60% of the QN, respectively. The results obtained using the QSTMS model in Marseille and QST in Escandón showed similar behavior, with RMSEs of 109 and 101 Wm−2, respectively, in a daily period. Although it is difficult to discern which method is better, it is possible to affirm that the presented method is quite accurate, easier to use, and inexpensive.

Urban ScienceVol. 8(4)
Instituto de Ecología (MX), Universidad Nacional Autónoma de México (MX)
Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Sustainable cities and communities
Openalex Percentile: Top 76%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A New and Easy Method to Determine the Energy Stored in Urban Areas: A Case Study of Mexico City — Vı́ctor L. Barradas, Martín Bonifacio-Bautista, et al. · Urban Science (2024) | TGRS Research Map | TGRS