scholarly journals A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water: lessons learned and future research directions

2018 ◽  
Author(s):  
Naruki Hiranuma ◽  
Kouji Adachi ◽  
David Bell ◽  
Franco Belosi ◽  
Hassan Beydoun ◽  
...  

Abstract. We present the laboratory results of immersion freezing efficiencies of cellulose particles at supercooled temperature (T) conditions. Three types of chemically homogeneous cellulose samples are used as surrogates that represent supermicron and submicron ice nucleating plant structural polymers. These samples include micro-crystalline cellulose (MCC), fibrous cellulose (FC) and nano-crystalline cellulose (NCC). Our experimental data show that particles resembling the MCC lab particle occur also in the atmosphere. Our immersion freezing dataset includes data from various ice nucleation measurement techniques available at seventeen different institutions, including nine dry dispersion and eleven aqueous suspension techniques. With a total of twenty methods, we performed systematic accuracy and precision analysis of measurements from all twenty measurement techniques by evaluating T-binned (1 °C) data over a wide T range (−36 °C 

2019 ◽  
Vol 19 (7) ◽  
pp. 4823-4849 ◽  
Author(s):  
Naruki Hiranuma ◽  
Kouji Adachi ◽  
David M. Bell ◽  
Franco Belosi ◽  
Hassan Beydoun ◽  
...  

Abstract. We present the laboratory results of immersion freezing efficiencies of cellulose particles at supercooled temperature (T) conditions. Three types of chemically homogeneous cellulose samples are used as surrogates that represent supermicron and submicron ice-nucleating plant structural polymers. These samples include microcrystalline cellulose (MCC), fibrous cellulose (FC) and nanocrystalline cellulose (NCC). Our immersion freezing dataset includes data from various ice nucleation measurement techniques available at 17 different institutions, including nine dry dispersion and 11 aqueous suspension techniques. With a total of 20 methods, we performed systematic accuracy and precision analysis of measurements from all 20 measurement techniques by evaluating T-binned (1 ∘C) data over a wide T range (−36 ∘C <T<-4 ∘C). Specifically, we intercompared the geometric surface area-based ice nucleation active surface site (INAS) density data derived from our measurements as a function of T, ns,geo(T). Additionally, we also compared the ns,geo(T) values and the freezing spectral slope parameter (Δlog(ns,geo)/ΔT) from our measurements to previous literature results. Results show all three cellulose materials are reasonably ice active. The freezing efficiencies of NCC samples agree reasonably well, whereas the diversity for the other two samples spans ≈ 10 ∘C. Despite given uncertainties within each instrument technique, the overall trend of the ns,geo(T) spectrum traced by the T-binned average of measurements suggests that predominantly supermicron-sized cellulose particles (MCC and FC) generally act as more efficient ice-nucleating particles (INPs) than NCC with about 1 order of magnitude higher ns,geo(T).


Author(s):  
Todd W. Neller ◽  
Connor Berson ◽  
Jivan Kharel ◽  
Ryan Smolik

In this article, we describe the lessons learned in creating an efficient solver for the solitaire game Birds of a Feather. We introduce a new variant of depth-first search that we call best-n depth-first search that achieved a 99.56% reduction in search time over 100,000 puzzle seeds. We evaluate a number of potential node-ordering search features and pruning tests, perform an analysis of solvability prediction with such search features, and consider possible future research directions suggested by the most computationally expensive puzzle seeds encountered in our testing.


Author(s):  
Paul F. Marty ◽  
Scott Sayre ◽  
Silvia Filippini Fantoni

Personal digital collections systems, which encourage visitors to museum websites to create their own personal collections out of a museum’s online collections, are the latest trend in personalization technologies for museums and other cultural heritage organizations. This chapter explores the development, implementation, and evaluation of different types of personal digital collection interfaces on museum websites, from simple bookmarking applications to sophisticated tools that support high levels of interactivity and the sharing of collections. It examines the potential impact of these interfaces on the relationship between museums and their online visitors, explores the possible benefits of involving users as co-creators of digital cultural heritage, and offers an analysis of future research directions and best practices for system design, presenting lessons learned from more than a decade of design and development of personal digital collections systems on museum websites.


2019 ◽  
Vol 11 (1) ◽  
pp. 419-438
Author(s):  
JunJie Wu

Urbanization is taking place at an unprecedented pace and scale in China, India, and many other emerging economies. This will have profound impacts on the world economy and environment. This review provides a critical assessment of the current understanding of the intertwined relationships between agglomeration, economic growth, and environmental quality. We start by providing a brief overview of the extensive literature on the drivers of agglomeration and its economic impact. We then discuss the opposing views on the environmental impact of agglomeration and illustrate the trade-offs involved when choosing among different levels and forms of agglomeration. Finally, we discuss challenges for environmental management in a rapidly urbanizing economy and some lessons learned from history and experiences of urban development and their policy implications. The review concludes with a discussion of key knowledge gaps and future research directions.


2015 ◽  
Vol 15 (5) ◽  
pp. 2489-2518 ◽  
Author(s):  
N. Hiranuma ◽  
S. Augustin-Bauditz ◽  
H. Bingemer ◽  
C. Budke ◽  
J. Curtius ◽  
...  

Abstract. Immersion freezing is the most relevant heterogeneous ice nucleation mechanism through which ice crystals are formed in mixed-phase clouds. In recent years, an increasing number of laboratory experiments utilizing a variety of instruments have examined immersion freezing activity of atmospherically relevant ice-nucleating particles. However, an intercomparison of these laboratory results is a difficult task because investigators have used different ice nucleation (IN) measurement methods to produce these results. A remaining challenge is to explore the sensitivity and accuracy of these techniques and to understand how the IN results are potentially influenced or biased by experimental parameters associated with these techniques. Within the framework of INUIT (Ice Nuclei Research Unit), we distributed an illite-rich sample (illite NX) as a representative surrogate for atmospheric mineral dust particles to investigators to perform immersion freezing experiments using different IN measurement methods and to obtain IN data as a function of particle concentration, temperature (T), cooling rate and nucleation time. A total of 17 measurement methods were involved in the data intercomparison. Experiments with seven instruments started with the test sample pre-suspended in water before cooling, while 10 other instruments employed water vapor condensation onto dry-dispersed particles followed by immersion freezing. The resulting comprehensive immersion freezing data set was evaluated using the ice nucleation active surface-site density, ns, to develop a representative ns(T) spectrum that spans a wide temperature range (−37 °C < T < −11 °C) and covers 9 orders of magnitude in ns. In general, the 17 immersion freezing measurement techniques deviate, within a range of about 8 °C in terms of temperature, by 3 orders of magnitude with respect to ns. In addition, we show evidence that the immersion freezing efficiency expressed in ns of illite NX particles is relatively independent of droplet size, particle mass in suspension, particle size and cooling rate during freezing. A strong temperature dependence and weak time and size dependence of the immersion freezing efficiency of illite-rich clay mineral particles enabled the ns parameterization solely as a function of temperature. We also characterized the ns(T) spectra and identified a section with a steep slope between −20 and −27 °C, where a large fraction of active sites of our test dust may trigger immersion freezing. This slope was followed by a region with a gentler slope at temperatures below −27 °C. While the agreement between different instruments was reasonable below ~ −27 °C, there seemed to be a different trend in the temperature-dependent ice nucleation activity from the suspension and dry-dispersed particle measurements for this mineral dust, in particular at higher temperatures. For instance, the ice nucleation activity expressed in ns was smaller for the average of the wet suspended samples and higher for the average of the dry-dispersed aerosol samples between about −27 and −18 °C. Only instruments making measurements with wet suspended samples were able to measure ice nucleation above −18 °C. A possible explanation for the deviation between −27 and −18 °C is discussed. Multiple exponential distribution fits in both linear and log space for both specific surface area-based ns(T) and geometric surface area-based ns(T) are provided. These new fits, constrained by using identical reference samples, will help to compare IN measurement methods that are not included in the present study and IN data from future IN instruments.


Resources ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 10
Author(s):  
Johan Simonsson ◽  
Khalid Tourkey Atta ◽  
Gerald Schweiger ◽  
Wolfgang Birk

Dynamic simulation of district heating and cooling networks has an increased importance in the transition towards renewable energy sources and lower temperature district heating grids, as both temporal and spatial behavior need to be considered. Even though much research and development has been performed in the field, there are several pitfalls and challenges towards dynamic district heating and cooling simulation for everyday use. This article presents the experiences from developing and working with a city-scale simulator of a district heating grid located in Luleå, Sweden. The grid model in the case study is a physics based white-box model, while consumer models are either data-driven black-box or gray-box models. The control system and operator models replicate the manual and automatic operation of the combined heat and power plant. Using the functional mock-up interface standard, a co-simulation environment integrates all the models. Further, the validation of the simulator is discussed. Lessons learned from the project are presented along with future research directions, corresponding to identified gaps and challenges.


2022 ◽  
Author(s):  
Demos Serghiou ◽  
Mohsen Khalily ◽  
Tim Brown ◽  
Rahim Tafazolli

Terahertz channel propagation phenomena, measurements and modelling for 6G wireless communication applications: a survey, open challenges and future research directions


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