Solar-driven absorption cooling system with latent heat storage for extremely hot climates

Mehmood, Sajid; Lizana, Jesus; Friedrich, Daniel

doi:10.1016/j.enconman.2023.117737

Cited by 6 publications

(1 citation statement)

References 42 publications

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“…In this study, we developed a numerical model within the simulation software TRN-SYS (Trnsys System Simulation) v18, which is popular among researchers involved in building energy modelling [44]. TRNSYS offers a range of pre-built models known as 'TYPES' designed for various applications, including single-zone and multi-zone building simulations, ventilation components, and diverse cooling and heating systems.…”

Section: Numerical Model For Calculation Of Cooling Energy Demandmentioning

confidence: 99%

Integrating Latent Load into the Cooling Degree Days Concept for Current and Future Weather Projections

Mehmood,

Amber,

Usman

et al. 2023

Buildings

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Rising temperatures, increase in population, and dense urban morphology have resulted in increased cooling energy demands. The conventional degree-days method to calculate cooling energy demand considers only the sensible heat load of air and neglects the latent component. This study aims to estimate the cooling degree days based on the heat index (by considering both the sensible and latent loads) for the current and future years (2050 and 2080). Further, the ventilation load index for each of these cities has been established to unlock the impact of ventilation on the building’s total energy consumption for current and future years. The results show that heat index-based degree days have a stronger relationship with the buildings’ cooling energy consumption and, therefore, can predict the cooling energy demand of buildings with 20% higher accuracy than conventional temperature-based degree days. Analysis shows that cooling degree-days and frequency of temperature above the comfort range continue to increase in Pakistan, highlighting increased degree-days in the range from 11.0 to 41.6% by 2050 and from 28.4 to 126.5% by 2080. Prompt actions are essential to enhance the resilience of Pakistan’s national grid to meet these future cooling energy demands.

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Section: Numerical Model For Calculation Of Cooling Energy Demandmentioning

confidence: 99%