Environmental and Behavioral Factors Affecting Residential Air Conditioning Use in Athens and London

Author(s):  
Lia Chatzidiakou ◽  
Ayub Pathan ◽  
Alex Summerfield ◽  
Dejan Mumovic
2016 ◽  
Vol 44 (6) ◽  
pp. 1036-1055 ◽  
Author(s):  
Andrew M Fraser ◽  
Mikhail V Chester ◽  
David Eisenman ◽  
David M Hondula ◽  
Stephanie S Pincetl ◽  
...  

Access to air conditioned space is critical for protecting urban populations from the adverse effects of heat exposure. Yet there remains fairly limited knowledge of the penetration of private (home air conditioning) and distribution of public (cooling centers and commercial space) cooled space across cities. Furthermore, the deployment of government-sponsored cooling centers is likely to be inadequately informed with respect to the location of existing cooling resources (residential air conditioning and air conditioned public space), raising questions of the equitability of access to heat refuges. We explore the distribution of private and public cooling resources and access inequities at the household level in two major US urban areas: Los Angeles County, California and Maricopa County, Arizona (whose county seat is Phoenix). We evaluate the presence of in-home air conditioning and develop a walking-based accessibility measure to air conditioned public space using a combined cumulative opportunities-gravity approach. We find significant variations in the distribution of residential air conditioning across both regions which are largely attributable to building age and inter/intra-regional climate differences. There are also regional disparities in walkable access to public cooled space. At average walking speeds, we find that official cooling centers are only accessible to a small fraction of households (3% in Los Angeles, 2% in Maricopa) while a significantly higher number of households (80% in Los Angeles, 39% in Maricopa) have access to at least one other type of public cooling resource such as a library or commercial establishment. Aggregated to a neighborhood level, we find that there are areas within each region where access to cooled space (either public or private) is limited which may increase heat-related health risks.


2019 ◽  
Vol 7 (3) ◽  
pp. 380-391 ◽  
Author(s):  
Wen-Tai Li ◽  
Sai Ram Gubba ◽  
Wayes Tushar ◽  
Chau Yuen ◽  
Naveed Ul Hassan ◽  
...  

2016 ◽  
Vol 26 (2) ◽  
pp. 238-247 ◽  
Author(s):  
Jinya Takeuchi ◽  
Takashi Kurabuchi ◽  
Hajime Yoshino ◽  
Sihwan Lee

The maximum inlet air temperature and air recirculation ratio of information technology machines are important in evaluating the air-conditioning efficiency of data centres. In this study, evaluation models for estimating air and heat distributions were developed based on the thermal equilibrium in data centres, assuming conventional computer room air-conditioning and local computer room air-conditioning systems. The computer room air-conditioning cooling efficiency ( η-index) was defined as the ratio of the effective cooling air volume of an information technology machine to the air volume of the computer room air-conditioning system. The recirculation ratio for an information technology machine ( γ-index) was defined based on the air volume and thermal equilibrium. Several factors affecting air-conditioning efficiency, such as the mounting positions and heat load of the information technology machines and the ratio of the computer room air-conditioning system air volume to that of the information technology machine ( V/Vm-index), were analysed using computational fluid dynamics. A mismatch was confirmed between the heat recirculation ratio ( γm-index) and air recirculation ratio ( γq-index), and the effect of heat transmission by the wall could be ignored in data centres. The mean γ values and inlet air temperatures ( θ0 m-index) could be reduced effectively by increasing the value of V/Vm and mounting the information technology machines at the bottom of each rack.


2012 ◽  
Vol 3 (4) ◽  
pp. 2240-2251 ◽  
Author(s):  
Auswin George Thomas ◽  
Pedram Jahangiri ◽  
Di Wu ◽  
Chengrui Cai ◽  
Huan Zhao ◽  
...  

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