Measurement and Processing of Fast Pulsed Discharge Current in Plasma Focus Machines

Lee, S.; Saw, S. H.; Rawat, Rajdeep Singh; Lee, P.; Verma, Rishi; Talebitaher, A.; Hassan, Syed Imran; Abdou, A.; Ismail, M.; Mohamed, A. E.; Torreblanca, H.; Hawat, Sh. Al; Akel, M.; Chong, Perk Lin; Roy, Federico; Singh, Arwinder; Wong, D.; Devi, K. K. A.

doi:10.1007/s10894-011-9456-6

Cited by 36 publications

(10 citation statements)

References 28 publications

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“…(1) Carbon mitigation constraints. Equations (2) to (5) indicate that the total carbon emission mitigation of each technology in different sectors should be greater than or equal to the planned carbon emissions:…”

Section: Model Buildingmentioning

confidence: 99%

“…Cheng et al [4] considered changing the investment decision to make a development plan for the production period from 2011 to 2050. Lee [5] presented a multi-period power plant planning based on carbon capture (CC) technologies. Zhang et al [6] proposed a multi-period optimization model of China's power sector by considering the uncertainties of power demand, fuel prices and carbon tax policy.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic optimization of carbon mitigation path in Shenzhen based on uncertainty of power demand

Tian

2020

E3S Web Conf.

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The core elements of urban carbon emission mitigation optimization path include structural adjustment, low energy supply, technological innovation, and enhanced energy demand management and improvement. How to optimize the combination of these factors to achieve the city's emission mitigation goals at the lowest cost is very important to study the path of urban low-carbon development. Due to many factors involved, it is difficult to solve this problem by building a mathematical optimization model that includes all the elements. This paper minimizes the total cost of emission mitigations in various departments in Shenzhen, combines the uncertainty of parameters and constraints, and uses mathematically standardized method to establish a stochastic optimization model for urban carbon emissions paths. Considering the uncertainty of energy demand, the optimal promotion rate of technical measures of the city's various departments in the stochastic optimization model during the planning period can be obtained, and the optimal solution of the city's lowcarbon development optimization path can be formed.

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Section: Model Buildingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic optimization of carbon mitigation path in Shenzhen based on uncertainty of power demand

Tian

2020

E3S Web Conf.

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“…26 Speed-enhanced PF 21 was facilitated. Plasma focus neutron yield calculations, 10,32 current and neutron yield limitations, 9,11 deterioration of neutron scaling (neutron saturation), 33,34 radiative collapse, 3 current-stepped PF 35 and extraction of diagnostic data, [36][37][38] and anomalous resistance data 8,39 from current signals have been studied using the code. 2 As already pointed out in the introduction, the Model code has recently been used to produce reference numbers for deuteron beam number and energy fluence and flux and scaling trends for these with PF storage energy.…”

Section: The Lee Model Codementioning

confidence: 99%

Plasma focus ion beam fluence and flux—For various gases

Lee

Saw

2013

Physics of Plasmas

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A recent paper derived benchmarks for deuteron beam fluence and flux in a plasma focus (PF) [S. Lee and S. H. Saw, Phys. Plasmas 19, 112703 (2012)]. In the present work we start from first principles, derive the flux equation of the ion beam of any gas; link to the Lee Model code and hence compute the ion beam properties of the PF. The results show that, for a given PF, the fluence, flux, ion number and ion current decrease from the lightest to the heaviest gas except for trend-breaking higher values for Ar fluence and flux. The energy fluence, energy flux, power flow, and damage factors are relatively constant from H2 to N2 but increase for Ne, Ar, Kr and Xe due to radiative cooling and collapse effects. This paper provides much needed benchmark reference values and scaling trends for ion beams of a PF operated in any gas.

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“…1. Electromagnetic pickup, and power lines interference are potential root causes of the baseline shift [5]; the offset could also result from grounding problems or non-symmetrical topology effects with the mounting of the coil so that the coil not only monitors the current passes inside, but also the current passes outside the coil [6]. Three numerical methods were introduced to resolve the problem.…”

Section: B Rogowski Coil Considerationsmentioning

confidence: 99%