Performance assessment of dual-mode evaporative cooler for futuristic climatic scenarios considering climate change effect. (October 2021)

• Record Type: Journal Article
• Authors: Kashyap, Sarvesh; Sarkar, Jahar; Kumar, Amitesh
• Is Part Of: Journal of building engineering. Volume 42(2021)
• Publication Date: 2021-10
• Subjects: Dual-mode evaporative cooler -- Experimentation -- Weather forecasting -- Coefficient of performance -- Thermal comfort -- Performance forecasting; Building -- Periodicals; 690.05
• DOI: 10.1016/j.jobe.2021.103043
• Languages: English
• ISSNs: 2352-7102

Abstract

Abstract: Climate change is expected to have a significant impact on device usability in different regions. Hence, it is necessary to study its impact on the performance of evaporative cooling, which is an alternative cooling technology to reduce increasing energy demand and carbon footprint. This study focuses on exploring the usefulness of the dual-mode evaporative cooler for future weather scenarios. An experimental prototype of a dual-mode evaporative cooler is developed and tested to validate the simulation model. The exponential smoothing method is used to forecast the temperature and humidity for four Indian cities (Varanasi, Delhi, Jodhpur, and Mumbai) of different climatic zones (composite, hot-dry and hot-humid). The six-month average temperature of Delhi and Mumbai city will increase by 0.48 °C and 0.62 °C, respectively. The dew point effectiveness, cooling capacity, and COP in both modes of the dual-mode evaporative cooler are investigated for all four cities. The suitability of the modes of the dual-mode evaporative cooler is predicted based on the thermal comfort conditions for present and future scenarios using a psychometric chart. The present study reveals the usefulness of the dual-mode cooler in future (for example, 2030) scenarios for composite and hot-dry climatic conditions. Highlights: Usefulness of dual-mode evaporative cooler is explored for future weather scenario. Weather forecasting is done based on past weather data for different climatic zones. Temperature and humidity forecasted results do not follow any specific pattern. Dew point effectiveness, cooling capacity and COP are evaluated for future scenarios. Future suitability of different modes is predicted based on thermal comfort conditions.