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A prototype air cycle cooling system, designed for forced cooling of HPOF pipe-type cable, was built under an EPRI contract. Its main components are a turbine and compressor operated on a single high speed shaft and a compact cable. oil to air heat exchanger. Air cooling is supplemented by a spray water system. Tests were conducted on the prototype unit at the EPRI Waltz Mill Cable Test Facility to evaluate its performance and operating characteristics. This paper briefly describes this equipment and presents the results of the test program.

Abstract. The impact of multiphase reactions involving nitrogen dioxide (NO2) and aromatic compounds was simulated in this study. A mechanism (CAPRAM 2.4, MODAC Mechanism) was applied for the aqueous phase reactions, whereas RACM was applied for the gas phase chemistry. Liquid droplets were considered as monodispersed with a mean radius of 0.1 µm and a liquid content (LC) of 50 µg m-3. The multiphase mechanism has been further extended to the chemistry of aromatics, i.e. reactions involving benzene, toluene, xylene, phenol and cresol have been added. In addition, reaction of NO2 with dissociated hydroxyl substituted aromatic compounds has also been implemented. These reactions proceed through charge exchange leading to nitrite ions and therefore to nitrous acid formation. The strength of this source was explored under urban polluted conditions. It was shown that it may increase gas phase HONO levels under some conditions and that the extent of this effect is strongly pH dependent. Especially under moderate acidic conditions (i.e. pH above 4) this source may represent more than 75% of the total HONO/NO2 - production rate, but this contribution drops down close to zero in acidic droplets (as those often encountered in urban environments).

The monitoring of a waste separation process in the nuclear power industry is considered. Recent advances in gamma ray emission and electrical impedance tomography mean that it is now feasible to unite these two modalities into a novel dual-modality monitoring method. This paper considers a simple model problem for the identification of a boundary between two distinct waste streams in a semi-continuous rotation separator. The simplicity of the problem affords the opportunity to demonstrate the general feasibility of the approach whilst avoiding unnecessary complications.

This paper proposes a novel consensus-based distributed control algorithm for solving the economic dispatch problem of distributed generators. A legacy central controller can be eliminated in order to avoid a single point of failure, relieve computational burden, maintain data privacy, and support plug-and-play functionalities. The optimal economic dispatch is achieved by allowing the iterative coordination of local agents (consumers and distributed generators). As coordination information, the local estimation of power mismatch is shared among distributed generators through communication networks and does not contain any private information, ultimately contributing to a fair electricity market. Additionally, the proposed distributed algorithm is particularly designed for easy implementation and configuration of a large number of agents in which the distributed decision making can be implemented in a simple proportional-integral (PI) or integral (I) controller. In MATLAB/Simulink simulation, the accuracy of the proposed distributed algorithm is demonstrated in a 29-node system in comparison with the centralized algorithm. Scalability and a fast convergence rate are also demonstrated in a 1400-node case study. Further, the experimental test demonstrates the practical performance of the proposed distributed algorithm using the VOLTTRON platform and a cluster of low-cost credit-card-size single-board PCs. Comment: 16 Pages, 13 figures Figures order and references are corrected!

Coupling between the UEDGE (edge fluid model), GINGRED (grid generation) and CAKE (equilibrium reconstruction) codes opens the door for automated interpretative scrape-off-layer (SOL) analysis over entire discharges, providing information that is essential in efforts to couple the SOL to core transport codes. In this work, we utilize new developments in the autoUEDGE code (Izacard et al. 2018) to investigate the behavior of the DIII-D SOL during the temporal evolution of an edge-localized mode (ELM) cycle. Modeled temperature and density profiles in UEDGE are automatically matched to experimental measurements by iteratively and self-consistently adjusting transport coefficient profiles in the plasma edge. This analysis is completed over multiple ELM cycles of a well-diagnosed discharge with long (∼100ms) inter-ELM periods. Directly after the ELM crash, a short period of high-density, low-temperature conditions is observed in Langmuir probe measurements at the outer divertor. This regime is associated with enhanced Dαemission and incident particle flux, suggesting that the divertor enters a period of high recycling after an ELM crash. After about ∼25ms, divertor conditions return to their pre-ELM conditions and remain there for several tens of milliseconds. Using the autoUEDGE code, the SOL is modeled as a function of ELM cycle using upstream profiles as input. The 2D modeling successfully reproduces both divertor Thomson scattering measurements and the experimentally observed divertor dynamics. Though the recycling is kept fixed throughout the modeling, changes in particle fluxes are consistent with local experimental recycling changes induced by ELMs. Agreement between modeling and observation suggests a strong link between upstream profiles and the high-recycling divertor conditions directly following large type-I ELMs.

Le Pakistan traverse une crise énergétique terrifiante et dévastatrice. Récemment, la prévision de la consommation d'énergie s'est intensifiée par rapport à sa capacité de production, ce qui est problématique pour la stabilité sociale et économique du Pakistan. Par conséquent, il est essentiel d'examiner le lien entre la consommation d'électricité, les prix de l'électricité, la transition urbaine, les autres utilisations d'électricité et l'expansion économique de 1970 à 2018 au Pakistan. Pour l'analyse, la technique économétrique de deuxième génération de Lee et Strazicich (2013), le nouveau Augmented Autoregressive Distributed Lag (AARDL) et Frequency Domain Causality (FDC) est utile pour détecter l'association à moyen et à court terme entre les variables. Les résultats montrent que la consommation d'électricité stimule l'expansion économique à court et à long terme, bien que la hausse des prix de l'électricité diminue l'activité économique à court et à long terme. En outre, la transition urbaine et d'autres utilisations de l'électricité ont un impact positif et négatif substantiel sur l'expansion économique à court et à long terme. Le résultat suggère qu'un approvisionnement énergétique efficace, des prix de l'énergie à faible coût, une bonne gestion de la transition urbaine et d'autres utilisations de l'énergie pourraient être utiles aux décideurs pour atteindre les ODD 7 et 11 au Pakistan. Pakistán se encuentra en una crisis energética aterradora y devastadora. Recientemente, la predicción del consumo de energía se ha intensificado en comparación con su capacidad de producción, lo que es problemático para la estabilidad social y económica de Pakistán. Por lo tanto, es vital examinar el vínculo entre el consumo de energía, los precios de la energía, la transición urbana, otros usos de la electricidad y la expansión económica de 1970 a 2018 en Pakistán. Para el análisis, la técnica econométrica de segunda generación de Lee y Strazicich (2013), el novedoso Retraso Distribuido Autoregresivo Aumentado (AARDL) y la Causalidad en el Dominio de la Frecuencia (FDC) son útiles para detectar la asociación a largo y corto plazo entre las variables. Los resultados muestran que el consumo de energía estimula la expansión económica a corto y largo plazo, aunque el aumento de los precios de la energía disminuye la actividad económica a corto y largo plazo. Además, la transición urbana y otros usos de la electricidad tienen un impacto positivo y negativo sustancial en la expansión económica a corto y largo plazo. El resultado sugiere que el suministro eficiente de energía, los precios de la energía de bajo coste, la gestión adecuada de la transición urbana y otros usos de la energía podrían ser útiles para que los responsables políticos alcancen los ODS 7 y 11 en Pakistán. Pakistan is in a terrifying and devastating energy crisis. Recently, the prediction for energy consumption has intensified compared to its production capacity, which is problematic for Pakistan's social and economic stability. Hence, it is vital to examine the link between power consumption, power prices, urban transition, other electricity use, and economic expansion from 1970 to 2018 in Pakistan. For analysis, the second-generation econometric technique of Lee and Strazicich (2013), novel Augmented Autoregressive Distributed Lag (AARDL), and Frequency Domain Causality (FDC) is useful to detect the long-medium and short-run association among the variables. The results show that power consumption stimulates economic expansion in the short and long-run, though the rise in power prices declines economic activity in the short and long-run. Also, urban transition and other electricity use are a substantial positive and negative impact on economic expansion in the short and long-run. The outcome suggests that efficient energy supply, low-cost power prices, proper urban transition management, and other energy use could be useful for policymakers to achieve SDGs 7 and 11 in Pakistan. باكستان في أزمة طاقة مرعبة ومدمرة. في الآونة الأخيرة، تكثف التنبؤ باستهلاك الطاقة مقارنة بقدرته الإنتاجية، مما يمثل مشكلة للاستقرار الاجتماعي والاقتصادي لباكستان. وبالتالي، من الضروري دراسة الصلة بين استهلاك الطاقة وأسعار الطاقة والتحول الحضري واستخدام الكهرباء الأخرى والتوسع الاقتصادي من 1970 إلى 2018 في باكستان. للتحليل، فإن تقنية الاقتصاد القياسي من الجيل الثاني من Lee and Strazicich (2013)، والتأخر الموزع الانحداري الذاتي المعزز (AARDL)، وسببية مجال التردد (FDC) مفيدة للكشف عن الارتباط طويل المدى وقصير المدى بين المتغيرات. تظهر النتائج أن استهلاك الطاقة يحفز التوسع الاقتصادي على المدى القصير والطويل، على الرغم من أن ارتفاع أسعار الطاقة يؤدي إلى انخفاض النشاط الاقتصادي على المدى القصير والطويل. كما أن التحول الحضري والاستخدامات الأخرى للكهرباء لها تأثير إيجابي وسلبي كبير على التوسع الاقتصادي على المدى القصير والطويل. تشير النتيجة إلى أن إمدادات الطاقة الفعالة، وأسعار الطاقة منخفضة التكلفة، وإدارة الانتقال الحضري المناسبة، وغيرها من استخدامات الطاقة يمكن أن تكون مفيدة لصانعي السياسات لتحقيق هدفي التنمية المستدامة 7 و 11 في باكستان.

Abstract Bioenergy crops are one of the renewable energy options available to decarbonise the energy sector in Scotland and help to achieve the overall planned target of 80% reduction in greenhouse gas (GHG) emissions by 2050. A process-based model for poplar and willow developed for simulating the effect of different environmental and management options on growth and biomass yield was used to estimate the GHG abatement potential (GHG-AP) under different crop management options in Scotland. The model results of annual wood yield did not show a strong relation with any of the environmental factors except that of initial soil organic carbon (SOC) content. Increasing plant density and decreasing harvest frequency increased GHG-AP. Application of N-fertilizers at a rate of 50–100 kg N ha−1 resulted in the buildup of carbon in soils with less than 180 Mg C ha−1. However, in soils with greater SOC contents, annual emissions resulting from N fertilizer application were greater than the carbon saving through marginal increases in wood yield and SOC changes. The best management scenario in terms of economic and environmental objectives depends on identifying an optimum plant density based on the site specific conditions with a fertilizer application of 20–100 kg ha−1 y−1 and a five year harvest interval. Even under the best economic scenarios, SRC willow and poplar have a GHG-AP ranging from 9.9 to 11.6 and 8.8–10.0 Mg CO2 eq. ha−1 y−1, respectively. Under the best environmental scenarios this range increases to 10.5- 13.2 and 9–11.1 Mg CO2 eq. ha−1 y−1 for willow and poplar, respectively.