Ice Storage Research Articles

Extended ischemic time (>15 hours) using controlled hypothermic storage in lung transplantation: A multicenter experience

Static ice storage has long been the standard-of-care for lung preservation, although freezing injury limits ischemic time (IT). Controlled hypothermic storage (CHS) at elevated temperature could safely extend IT. This retrospective analysis assesses feasibility and safety of CHS with IT>15h. Three lung transplant (LuTx) centers (April-October 2023) included demographics, storage details, IT and short-term outcome from 13 LuTx recipients (8 male, 59 years old). Donor lungs were preserved in a portable CHS-device at 7(5-9.3)°C. Indication was overnight bridging and/or long-distance transport. IT of second-implanted lung was 17.3(15.1-22)h. LuTx were successful, 4/13 exhibited primary graft dysfunction grade 3 within 72h and 0/13 at 72h. Post-LuTx mechanical ventilation was 29(7-442)h. Intensive care unit stay was 9(5-28) and hospital stay 30(16-90) days. Four patients needed post-operative extracorporeal membrane oxygenation (ECMO). One patient died (day seven) following malpositioning of an ECMO cannula. This multi-center experience demonstrates the possibility of safely extending IT>15h by CHS.

Thermal performance investigation of water-based nanofluids in an ice storage system

In this study, the combined effects of heat transfer enhancement and cost increment of water-based nanofluids in an ice storage system are investigated theoretically. First, a model for describing the ice formation process of water around a helical coil is established, and the model is verified by comparing the simulation and experimental results. Second, the heat transfer performance of water-based Al2O3 nanofluids and multi-wall carbon nanotubes (MWCNT) nanofluids with different nanoparticle volume fractions are simulated with the established model. Although 0.05 v.% M/W shows the best heat transfer performance, it has a higher cost. In this study, an economic analysis of these two nanofluids is conducted, and a benchmark based on economic analysis and heat transfer performance analysis is obtained, comparing the ice-making performance of the two nanofluids. Based on the benchmark point E, the ice-making performance of two nanofluids can be separated into three regions: a low-performance region, an economic region, and a heat transfer region. In the low-performance region, the enhancement effect on heat transfer performance is small. In the economic region, A/W is a more ideal ice-making medium. In the heat transfer region, M/W is a more ideal ice-making medium.

Research on the characteristics of photovoltaic-driven refrigerated warehouse system under different ice storage modes

This research aims to explore the performance of ice storage modes in a photovoltaic (PV)-driven refrigerated warehouse. The ice storage modes were concisely clarified into series match (SM) and parallel match (PM), which were clearly defined and theoretically, experimentally and economically analysed under various working conditions and system configurations. The analysis reveals that the SM mode demonstrates an enhanced coefficient of performance (COP) under no and full-load conditions using utility electricity and PV power as energy supply, with COP for the vapour compression refrigeration cycle and whole PV-driven system reaching 2.66 and 0.28, respectively. The SM mode outperforms the PM mode in suppressing PV fluctuations, while the PM mode exhibits deficits of cooling energy consumption during variable solar irradiance. Therefore, the SM mode excels in suppressing PV fluctuations and saving more cooling capacity compared to the PM mode. In addition, the PV system is more energy-efficient than a utility-electric driven system, and the economic cost of the SM mode is lower than that of the PM mode. Furthermore, the feasibility of suppressing PV fluctuations in the SM mode was verified by preserving 1500 kg of green grapes for 14 consecutive days. Results indicate that maintaining the storage temperature of the system at 5 °C prevented a decrease in grape quality, resulting in a 5.186 % decrease in water content and a 3.61 % decrease in sugar content.

Optimum exploitation of multiple energy system using IGDT approach and risk aversion strategy and considering compressed air storage with solar energy

The concept of an energy hub within a microgrid has garnered significant attention from investors due to its potential for efficiently managing diverse energy sources and accurately forecasting energy prices. This study presents a model for an energy hub that facilitates the optimal operation of a microgrid with multiple energy carrier infrastructures under future-day scenarios. The primary objective of the optimization process is to minimize operating costs, environmental impacts, and technical limitations. The proposed energy hub model integrates both distributable generation, such as a Combined Cooling, Heating, and Power (CCHP) unit, and non-distributable generation sources, including wind turbines and photovoltaic systems. Additionally, it incorporates various energy storage components, namely Ice Storage Conditioner (ISC), Thermal Energy Storage (TES) systems, and Electric Vehicles (EVs). Furthermore, the study investigates the impact of a novel energy storage system called Solar Powered Compressed Air Energy Storage (SPCAES) on the operational and environmental performance of the energy hub. To address uncertainties stemming from predicted and actual variables, a two-level stochastic optimization problem is formulated based on the Information Gap Decision Theory (IGDT) with a Risk Aversion (RA) strategy. The overarching aim is to mitigate the risks associated with the information gap confronted by microgrid operators. Subsequently, the two-level stochastic optimization problem is transformed into a single-level problem using the Karush-Kuhn-Tucker method. The proposed framework employs the RA-IGDT method and utilizes the Elephant Herd Optimization (EHO) algorithm to effectively solve the optimization problem. By applying this proposed framework to a typical energy hub, this research demonstrates the effectiveness of energy storage systems in reducing operating costs and greenhouse gas emissions during daily energy management. The study highlights the potential of energy hubs and storage systems for cost-effective and eco-friendly microgrid energy management. Scenario 4, featuring the proposed energy hub with SPCAES and ISC storage, demonstrates a 15 % reduction in operating costs and a notable 20 % increase in peak-hour electrical power for sale, underscoring its economic and operational benefits.

Increase the integration of renewable energy using flexibility of source-network-load-storage in district cooling system

The flexibility of power systems is critical to cope with the variability and uncertainty caused by the integration of renewable energy resources. Incorporating district cooling systems (DCSs) into power systems is an emerging approach to provide flexibility for renewable energy utilization. However, the existing models of DCS components, such as ice-storage cooling sources, cooling pipelines, and cold warehouses, are simplified, failing to fully utilize that flexibility, which brings difficulties for renewable energy utilization. Therefore, this paper proposed a coordinated operational strategy for an integrated power and cooling system combining detailed operating characteristics of DCSs to exploit the potential flexibility of DCSs for better integration of renewable energy. The primary cooling source components, including the chiller, ice storage tank, pump, and cooling tower, are established to model a detailed process of cooling generation and storage. The thermal inertial of district cooling networks (DCNs) is formulated as a quasi-dynamic model by considering dynamical temperature characteristics and transmission delay to exploit the virtual energy storage capacity of the cooling water pipeline. Moreover, the thermal inertia of the demand side, such as buildings and cold warehouses, is considered to utilize thermal storage capacity. The objective function of the proposed optimization model is to minimize the overall operating cost of the integrated power and cooling system. Numerical simulations show that the proposed method could reduce the operating cost by 15.4% and the wind curtailment rate by 86.2%, indicating better performance of the proposed method in improving economic benefits and reducing renewable energy curtailment.

Changes in quality and bacterial flora of red sea bream (<i>Pagrus major</i>) flesh during ice storage

Changes in quality and bacterial flora of red sea bream (<i>Pagrus major</i>) flesh during ice storage

Controlled Hypothermic Storage for Lung Preservation: Leaving the Ice Age Behind.

Controlled hypothermic storage (CHS) is a recent advance in lung transplantation (LTx) allowing preservation at temperatures higher than those achieved with traditional ice storage. The mechanisms explaining the benefits of CHS compared to conventional static ice storage (SIS) remain unclear and clinical data on safety and feasibility of lung CHS are limited. Therefore, we aimed to provide a focus review on animal experiments, molecular mechanisms, CHS devices, current clinical experience, and potential future benefits of CHS. Rabbit, canine and porcine experiments showed superior lung physiology after prolonged storage at 10°C vs. ≤4°C. In recent molecular analyses of lung CHS, better protection of mitochondrial health and higher levels of antioxidative metabolites were observed. The acquired insights into the underlying mechanisms and development of CHS devices allowed clinical application and research using CHS for lung preservation. The initial findings are promising; however, further data collection and analysis are required to draw more robust conclusions. Extended lung preservation with CHS may provide benefits to both recipients and healthcare personnel. Reduced time pressure between procurement and transplantation introduces flexibility allowing better decision-making and overnight bridging by delaying transplantation to daytime without compromising outcome.

Numerical simulation of convective heat transfer in the discharging process of external ice-melting ice storage systems

The external ice-melting ice storage system was widely used because of its advantages of reducing peak power consumption, reducing energy consumption and emissions, and fast ice melting speed. However, designing the external ice-melting ice storage system proved to be a challenge, and the structure and flow of the water distribution system needed to be fully considered. In particular, the problem of unstable outlet water temperature limited the practical application of the external melting ice storage system. Aiming at the problem of unstable outlet water temperature, a three-dimensional CFD phase change model was constructed in this paper. By comparing with the experimental data, the impact of varying water flow rates on the thermal and cooling properties of the was investigated. The results indicated that when the water flow rate was 226 ml/min for the system with an ice thickness of 74 mm, the outlet temperature of the ice storage tank was consistently below 5°C, the Nusselt number of ice and water remained constant, and the convective heat transfer effect was improved. The numerical simulation results provided guidance for the design and practical application of the water distribution system of the external melting ice storage system.

Many-objective optimization of operation strategy for district cooling system based on the per-unit value form

The operational strategy of the district cooling system (DCS) with an ice storage system must be carefully optimized for many objectives to achieve optimal operation. However, owing to the fact that the variables of DCS are in different orders of magnitude and there is a vast gap between the variables, it is not easy to perform arithmetic. In this paper, the DCS model based on the per-unit value form is formulated to develop a many-objectives operational strategy that is solved by the linear weighting method. And a multiple-attribute decision-making method is taken to get the optimal operating strategy. The simulation results are discussed for an existing cooling system with 619-node and 614-branch to illustrate that the model based on the per-unit value form can obtain satisfactory optimization results and a significant reduction in time consumption.

Recipient Outcomes With Extended Criteria Donors Using Advanced Heart Preservation: An Analysis of the GUARDIAN-Heart Registry

PurposeThe prevalence of end stage heart failure and patients that could benefit from heart transplantation requires an expansion of the donor pool, relying on the transplant community to continually re-evaluate and expand the use of extended criteria donor organs. Introduction of new technologies such as the Paragonix SherpaPak Cardiac Transport System aids in this shift. We seek to analyze the impact of the SherpaPak system on recipient outcomes who receive extended criteria organs in the GUARDIAN Heart Registry. MethodsBetween October 2015-December 2022, 1,113 adults from 15 US centers receiving donor hearts utilizing either SherpaPak (N=560) or conventional ice storage (Ice, N=453) were analyzed from the GUARDIAN-Heart registry using summary statistics. A previously published set of criteria was used to identify extended criteria donors, which included 193 SherpaPak and 137 ice. ResultsThere were a few baseline differences among recipients in the 2 cohorts, most notably IMPACT Scores, distance traveled and total ischemic time were significantly greater in SherpaPak, and significantly more donor hearts in the SherpaPak cohort had >4 hours total ischemia time. Post-transplant MCS utilization (SherpaPak 22.3% vs. ice 35.0%, p=0.012) and new ECMO/VAD (SherpaPak 7.8% vs. ice 15.3%, p=0.033) was significantly reduced, and the rate of severe PGD (SherpaPak 6.2% vs. ice 13.9%, p=0.022) was significantly reduced by over 50% in hearts preserved using SherpaPak. One-year survival between cohorts was similar (SherpaPak 92.9% vs. ice 89.6%, p=0.27). ConclusionThis subgroup analysis demonstrates that SherpaPak can be safely used to utilize extended criteria donors, with low severe PGD rates.

Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery

Change of supraglacial lakes (SGLs) is an important hydrological activity on the Greenland ice sheet (GrIS), and storage and drainage of SGLs occur throughout the year. However, current studies tend to split SGL changes into melt/non-melt seasons, ignoring the effect of buried lakes in the exploration of drainage, and the existing threshold-based approach to SGL extraction in a synthetic aperture radar (SAR) is influenced by the choice of the study area mask. In this study, a new method (Otsu–Canny–Otsu (OCO)), which accesses the features of SGLs on optical and SAR images objectively, is proposed for full-year SGL extraction with Google Earth Engine (GEE). The SGLs on the Petermann Glacier were monitored well by OCO throughout 2021, including buried lakes and more detailed rapid drainage events. Some SGLs’ extent varied minimally in a year (area varying by 10–25%) while some had very rapid drainage (a rapid drainage event from July 26 to 30). The SGL extraction results were influenced by factors such as the mode of polarization, the surface environment, and the depth of the lake. The OCO method can provide a more comprehensive analysis for SGL changes throughout the year.

The Physicochemical Properties and Melting Behavior of Ice Cream Fortified with Multimineral Preparation from Red Algae.

Ice cream is a popular frozen food consumed worldwide throughout the year. However, as a thermally unstable product, it requires proper cold chain management. Thermal fluctuations alter the physicochemical properties of ice cream and reduce its quality. This study was conducted to evaluate the physicochemical and sensory properties of ice cream containing different amounts (0.5; 0.8; 1.0%) of a multimineral preparation from Atlantic red algae. The effect of thermal shock on the quality of ice cream after preparation and 90 days of frozen storage was studied. The addition of a multimineral component slightly increased the freezing and glass transition temperatures of the ice cream. The overrun of the ice cream ranged from 48.55 to 52.78% and decreased with the frozen storage time, but the samples with 0.8 and 1.0% mineral content had the most stable overrun in terms of storage time and thermal fluctuations. Ice cream stored for both 7 and 90 days showed a similar melting behavior, although a shift in the melting curves was observed after long frozen storage. The samples exposed to the thermal treatment had lower melting rates by 39.2-59.9% and 55.2-65.4% for 7-day and 90-day stored ice cream, respectively. The hardness parameters of the ice cream did not change significantly under the conditions applied, so the fragility of the ice cream and its fluffiness did not seem to be affected. The organoleptic evaluation showed that ice cream with a mineral content of 0.8% was the most acceptable in terms of taste, texture, and overall acceptability. The applied mineral and sucrose content ratios did not alter the main physicochemical and organoleptic parameters, but significantly affected the nutrient density of the ice cream.

Characteristics of ground surface heat flux for alpine vegetation in freeze-thaw cycles in the three river source region

Ground surface heat flux (G0) is a key component of surface energy flux and serves as a reliable parameter for assessing shallow geothermal energy. Using the observations from four sites and a novel method, we investigated the daily, monthly, and diurnal characteristics of G0 across various types of land cover in the Three River Source Region. The contribution of soil heat flux at 5 cm or 7.5 cm (Gsoil) to G0 was found to be only between 1/2 and 2/3, with the remaining portion being attributed to changes in heat storage of soil and liquid water (Δssoil), heat storage of soil ice (Δsice) and latent heat of ice phase change (ΔsLH). The characteristics of G0 exhibited significant variations in response to different land-covered vegetation during daily, monthly, and diurnal cycles, as well as two freeze-thaw stages. The alpine marsh-covered soil had the largest annual amplitude in G0 on both daily and monthly averages but showed the smallest diurnal amplitude in G0. In the frozen stage (FS), G0 played a significant role as a supplement to net radiation (Rn) in TRSR, particularly in the alpine marsh region where it accounted for approximately −22 % to −80 % of Rn from November to February.

Experimental and numerical study of ice storage and melting process of external melting ice coil

Ice storage air conditioning technology could achieve “peak cut” by storing ice during the valley period, melting ice during the peak period to achieve the role of peak load regulation. At the same time, it can promote consumption of renewable energy. This study deals with the experimental and numerical analysis of the solidification and melting processes of coiled ice storage. From the experimental observation, it was observed that the outer surface of the lower side of the coil was the first to form an ice layer. Then the outer surface of the upper side begins to form an ice layer, and the growth rate of the ice layer is faster than that of the lower side. The average growth rates of the ice layer on the upper and lower side are 0.112 mm/min and 0.079 mm/min, respectively. The density variation of water and natural convection were considered in this analysis. The numerical simulation results well match the phenomena and results of experimental research. The influence of different directions of cooling water inlet on the melting rate was also compared in this paper. Under the same initial conditions and boundary conditions, the melting process in the Mode 1 (along the coil) cools down faster; The ice melting process in Mode 2 (perpendicular to the coil) can provide more stable cooling, and the cooling duration is 130 s longer than that in Mode 1.

Study on the effect of partial filling of foam metal on the solidification performance of ice storage spheres

Ice storage sphere systems are favored in the field of energy storage, however, the poor thermal conductivity of phase change materials (PCM) seriously weakens their wide application. Metal foam has been shown to enhance its heat transfer. In this paper, we investigate the impact of varying the filling radius ratio of foam metal to further improve energy storage performance and reduce costs in ice storage spheres. Computational fluid dynamics are employed to analyze the heat transfer and solidification processes. The enthalpy-porosity method is used to describe PCM solidification, while the local equilibrium thermal (LET) model characterizes heat transfer between the PCM and foam metal. The study explores temperature field variations, solid phase fraction changes, solidification times, and cold storage volumes, accounting for natural convection. By comparing solidification rates and other relevant parameters, the effect of foam metal filling on the solidification process is explored. Moreover, a new evaluation index is proposed, which can assess the overall performance of ice storage systems in real-time, considering market prices. The results show that natural convection is the primary heat transfer mode in pure PCM-ffild ice storage spheres, whereas smaller foam metal filling radii significantly inhibit natural convection, resulting in heat conduction as the dominant mode. Without specific requirements, an optimal fill radius ratio of 9/13 is determined. This paper offers a comprehensive understanding of cold storage employing various foam metal filling radios, contributing to advancements in efficient thermal energy storage systems.

신라 왕경 내 石造施設 용도 시론

The stone masonry facilities in the capital of Silla had estimated various functions, such as ceremonial spaces, storage facilities, water collecting basins, stone ice storage, and toilets. However, previous assumptions have led to confusion about their actual functions. The stone masonry facilities of the Silla period are installed in the ground like the stone outer coffin tomb's shape.
 This paper suggests the function and use of the stone masonry facilities. The Silla capital has around 190 stone works. It is difficult to describe them simply as the water collecting facility or the stone ice storage. Especially, in ancient Silla houses, the masonry facilities were often positioned at the north or northwest side, similar to the toilet site location in ancient documents. Many documents covertly describe the toilet shed and the defecation. Most of the masonry facilities in the Silla capital were located behind the house walls or buildings. Therefore, it could be presumed that the masonry facilities were toilet sheds, based on their location on the north or northwest side and their proximity to the house wall.
 On the other hand, the stone masonry facilities in the Silla capital are often uncovered in various forms that added with the stone structures for the toilets or a drainage ditch. The Dongcheon-dong site's toilet shed is thought to be public, and the Silla capital has several types of toilet sheds. This aspect of the toilet sheds might not be controlled by the country because the toilet is an essential facility for life. It is possible that the Silla people shared similar methods and motifs when installing their toilet sheds using the masonry facilities, as evidenced by their similar attribute values (area, volume, etc.).

Performance enhancement of ice storage capsules by biomimetic fins

Ice storage enhanced by biomimetic fins in spherical capsules is studied numerically based on enthalpy-porosity method. The evolution of water/ice interface, the temperature variation, and the cooling energy storage capacities are examined quantitatively to gain further insight into the solidification process in capsules. Especially, the geometrical configurations of fins, including the maximum bifurcate level and fractal dimension of length, are investigated. In addition, four evaluation criteria are employed to determine the optimum design for the biomimetic fins. The results show that the biomimetic fins are significantly effective in enhancing the heat transfer in the stage of cooling energy storage through sensible heat in ice. The performance enhancement is facilitated as the level of fins is increased that average 24% reduction in solidification time is achieved by the fin-Ⅲ series with only 1.24% loss of cooling energy storage capacity averagely. An optimum design for biomimetic fins is the fin-Ⅲ with a fractal dimension of 3, which results in a 30.01% increase in dimensionless cooling energy storage capacity per unit time and weight compared to the case without a fin. Aluminum is a favorable fin material considering both the enhancing performance and material cost of the capsule. A prediction formula of ice volume under different cooling conditions is generalized.

Potential of fluorescence fingerprints for fish meat authentication: Differences in freshness evaluation in white and dark meat at frozen state.

As dark meat has a faster deterioration rate and its unintentional mixing occurs during processing, it is crucial to know the status and freshness indicators of dark meat to ensure fishery product quality. In this method, fluorescence fingerprints (FFs) was applied as a rapid and noninvasive quality authentication method to determine differences between white and dark meat in the evaluation of freshness indicators at frozen state. Spotted mackerel (Scomber australasicus) fish chunks with different postmortem conditions (0-40h ice stored) were obtained and frozen. A new generation of fluorescence spectrophotometer (F-7100) was used to acquire FFs of the frozen fish chunks (containing white and dark meat). Adenosine triphosphate metabolites and pH were determined in both white and dark meat using their relevant biochemical methods. Higher K-values in dark meat might be attributed to a higher accumulation rate of inosine (HxR) in dark meat than in white meat. The pH decrease rate in white meat was higher than that in dark meat during postmortem ice storage periods of fish. Principal component analysis of FFs spectra demonstrated clear discrimination (PC1+PC2=91.7%) between white and dark meat of frozen fish due to the influence of freshness parameters based on the fluorescence features of fish meat. Furthermore, partial least squares regression validation models revealed that freshness indicators of white meat could be predicted more accurately at the frozen state than those of dark meat. This method could be applied during the processing of fishery products, thereby facilitating quality control activities and making it a promising authentication tool for the fisheries industries.

Optimal scheduling of a dairy industry based on energy hub considering renewable energy and ice storage

The use of energy in industrial processes is a vital aspect of their proper functioning and productivity. However, with the increasing demand for energy and the need for more sustainable energy sources, managing energy efficiently has become crucial for industries. In this context, energy management systems (EMS) have emerged as a solution to integrate different energy sources and optimize their use. This work proposes a model for the optimal scheduling of a dairy industry based on an energy hub, considering the integration of renewable energy sources and Ice Storage. The proposed model aims to minimize daily operating costs by satisfying the electrical and thermal demands of the industrial process while considering the availability and costs of different energy sources. The model takes into account the use of microturbines (MT), photovoltaic (PV) sources, wind generation (WT), electrical storage systems (ESS), and energy from the electrical grid for the generation of electrical energy, and a boiler and an Ice Storage for thermal energy. A case study is conducted in this paper at the dairy farm belonging to UDLA in Nono, Ecuador, where the advantages of the proposed energy hub model for the dairy industry are analyzed. The suggested scheduling optimization model is solved using Pyomo library with a mixed integer linear programming method showing the benefits of including Ice Storage Systems and renewable energy.

Effect of climate on the optimal sizing and operation of seasonal ice storage systems

Seasonal thermal storage systems can reduce the temporal mismatch between renewable energy availability and energy demand. Ice storage systems exhibit a non-linear behaviour in the heat exchange and storage processes, complicating the formulation of optimal design and operation problems. In this work, we propose a mixed-integer quadratically-constrained programming formulation, which minimizes the Levelized Cost of Energy for space heating and cooling, including sizing of a supporting PV array. The optimization was repeated for different storage volumes, finding the system optimal operation in each case –and thereby the optimal system sizing. The heating and cooling demands were computed from an archetypal office building, placed in three reference locations with cold and semi-arid, warm and humid continental, and temperate and humid continental climates. Results show that the optimal PV size decreases with growing ice storage volume, and an ice storage works best in a temperate continental climate, covering up to 47% of the cooling demand with a 250 m 3 storage.