Waste heat recovery of air conditioning on thermal efficiency enhancement of water heater

Wiriyasart, Songkran; Kaewluan, Sommas

doi:10.1016/j.tsep.2023.102296

Cited by 1 publication

(1 citation statement)

References 46 publications

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“…With increasing societal attention to energy sustainability (Wang et al, 2022) and global warming (Wiriyasart and Kaewluan, 2024), experts in the power systems field are continuously exploring new methods to reduce carbon emissions and steer the power systems towards a more sustainable direction (Hu and Yi, 2023). The building industry accounts for approximately 40% of the global electricity consumption with air conditioning constituting over 50% of the total energy consumption within buildings (Wijaya et al, 2022;Silva et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal scheduling considering low-carbon operation of air conditioner load with dynamic carbon emission factors

Shen,

Li,

Yin

et al. 2024

Front. Energy Res.

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As global temperatures rise and climate change becomes more severely. People realize that air conditioning systems as a controllable resource and play an increasingly important role in reducing carbon emissions. In the past, the operation optimization of air conditioning systems was mainly oriented to user comfort and electricity costs ignoring the long-term impact on the environment. This article aims to establish a multi-objective model of air-conditioning load to ensure user temperature comfort performance and reduce the total cost (i.e., electricity cost and carbon emission cost) simultaneously. Multi Sand Cat Swarm Optimization (MSCSO) algorithm combined with gray target decision-making (GTD) is used to explore optimal solution. Meanwhile four competitive strategies are applied to validate the effectiveness of the proposed method, i.e., genetic algorithm (GA), MSCSO-comfort objective, MSCSO-total electricity cost objective and unoptimization. The simulation results show that the MSCSO-GTD based objective method can significantly reduce total costs while taking into account appropriate indoor temperature comfort.

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