Calibrated simulation study for efficient sizing and operating strategies for the thermal storage integrated air conditioning system

Singh, Rana Veer Pratap; Singh, Jaivardhan; Mathur, Jyotirmay; Bhandari, Mahabir

doi:10.1080/14786451.2020.1819807

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…where: I PMV indicates the PMV indicator value; M is the human metabolic rate, with static characteristics, taking the value of the range of [58, 100] W/m 2 ; W is the mechanical work produced by the user; p a is the partial pressure of water vapor; t a is the air temperature, with dynamic characteristics, taking the value of the range of [22,30] • C; f c1 is the coefficient of clothing; t c1 is the human body surface temperature; t r is the average radiant temperature, with dynamic characteristics, taking the value of the range of [10,40] • C; for the heat transfer coefficient [10,40] • C; t c is the heat transfer coefficient. PMV comfort index is a comprehensive index that is the influence of human comfort air temperature, humidity, flow rate, human clothing, activity status, and other multidimensional parameters under the joint effect of the integrated results of human comfort through the calculation of the human comfort level of the integrated quantification in the interval of [−3, 3].…”

Section: Modeling Demand Response With User Comfort In Mindmentioning

confidence: 99%

Optimized the Microgrid Scheduling with Ice-Storage Air-Conditioning for New Energy Consumption

Xiao,

Li,

Gong

et al. 2024

Sustainability

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In the face of the stochastic, fluctuating, and intermittent nature of the new energy output, which brings significant challenges to the safe and stable operation of the power system, it is proposed to use the ice-storage air-conditioning to participate in the microgrid optimal scheduling to improve wind and light dissipation. This paper constructs an optimal scheduling model for the ice-storage air-conditioning to participate in the microgrid, analyzes the regulation advantages of the ice-storage air-conditioning’s cold storage and cold release process and its participation in the scheduling process; secondly, based on the scenario method, the scenario modeling of the microgrid distributed wind and light output uncertainty and cold load uncertainty is carried out; lastly, an optimal scheduling model is constructed to minimize the operation and maintenance cost of each unit and the storage cost of the ice-storage air-conditioning, the highest rate of clean energy generation and the lowest cost of electricity consumption of the air-conditioning users as the objective function. The example simulations show that the proposed optimal scheduling model can promote the new energy consumption rate of the microgrid, proving that the ice-storage air-conditioning is more economical compared with ordinary air-conditioning and that the operating cost within the optimized microgrid is reduced by about 10.5%. The cost of the air-conditioning users’ electricity consumption has been reduced by about 11.7% after responding to the regulation.

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Section: Modeling Demand Response With User Comfort In Mindmentioning

confidence: 99%

Optimized the Microgrid Scheduling with Ice-Storage Air-Conditioning for New Energy Consumption

Xiao,

Li,

Gong

et al. 2024

Sustainability

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“…However, one of the main challenges in the wide deployment of such systems is the proper design methodology. Usually, numerical methods are used, which might include simplified methods based on empirical approaches [8], numerical methods at different scales, such as detailed simulations of a single component [9], and complete studies of the multi-source energy system, usually employing TRNSYS and EnergyPlus [10,11]. The outcome of the sizing is often the techno-economic analysis of the overall system [12,13], but its reliability and meaningfulness are highly dependent on data quality for the underlying models [10], especially for thermal systems whose dynamic behavior is more difficult to describe compared to electric ones, thus requiring experimental validation and calibration [14].…”

Section: Introductionmentioning

confidence: 99%

A New Methodological Approach for the Evaluation of Scaling Up a Latent Storage Module for Integration in Heat Pumps

et al. 2021

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A clear gap was identified in the literature regarding the in-depth evaluation of scaling up thermal energy storage components. To cover such a gap, a new methodological approach was developed and applied to a novel latent thermal energy storage module. The purpose of this paper is to identify some key aspects to be considered when scaling up the module from lab-scale to full-scale using different performance indicators calculated in both charge and discharge. Different normalization methods were applied to allow an appropriate comparison of the results at both scales. As a result of the scaling up, the theoretical energy storage capacity increases by 52% and 145%, the average charging power increases by 21% and 94%, while the average discharging power decreases by 16% but increases by 36% when mass and volume normalization methods are used, respectively. When normalization by the surface area of heat transfer is used, all of the above performance indicators decrease, especially the average discharging power, which decreases by 49%. Moreover, energy performance in charge and discharge decreases by 17% and 15%, respectively. However, efficiencies related to charging, discharging, and round-trip processes are practically not affected by the scaling up.

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Heat transfer characteristics of charging and discharging encapsulated PCMs (SP24, SP26 & SP29) for free cooling: impact of geometry and nanomaterials addition

Muzhanje,

Hassan

2023

J Therm Anal Calorim

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Herein, free cooling an application of thermal energy storage is investigated through theoretical observations of air being cooled after passing over encapsulated phase change material (PCM). The impact of encapsulation geometry changes from circular to; rectangular, square, and elliptical shapes is studied for the PCM solidification and melting cycles. The study is performed for sp24, sp26, and sp29 PCM types with and without the inclusion of CuO and Al2O3 nanoparticles (NPs). A transient mathematical model for heat transfer behavior of airflow over the encapsulation is constructed and solved using Ansys 20.2 software. It is found that the rectangular-shaped PCM encapsulation with CuO nano-enhanced PCM has the shortest complete melting (~ 1–2 h) and complete solidification times (~ 3–9.3 h). Nanoparticle enhancement improves the rate of melting by a maximum of 11.56% with Al2O3 NPs and by 6.12% with CuO NPs at an inlet airflow temperature of 313 K. A maximum outlet air-temperature drop of ~ 3.1 K occurs in the cylindrical geometry with CuO nano-enhancement and the highest Nusselt number is obtained at similar conditions. From this study it is recommended to use either sp24 or sp26 PCMs mixed with nano-alumina and encapsulated within rectangular containers for free cooling applications.

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Calibrated simulation study for efficient sizing and operating strategies for the thermal storage integrated air conditioning system

Cited by 6 publications

References 34 publications

Optimized the Microgrid Scheduling with Ice-Storage Air-Conditioning for New Energy Consumption

Optimized the Microgrid Scheduling with Ice-Storage Air-Conditioning for New Energy Consumption

A New Methodological Approach for the Evaluation of Scaling Up a Latent Storage Module for Integration in Heat Pumps

Heat transfer characteristics of charging and discharging encapsulated PCMs (SP24, SP26 & SP29) for free cooling: impact of geometry and nanomaterials addition

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