Lipid profiling by multiple precursor and neutral loss scanning driven by the data-dependent acquisition

Data-dependent acquisition of MS/MS spectra from lipid precursors enables to emulate the simultaneous acquisition of an unlimited number of precursor and neutral loss scans in a single analysis. This approach takes full advantage of rich fragment patterns in tandem mass spectra of lipids and enables their profiling by complex (Boolean) scans, in which masses of several fragment ions are considered within a single logical framework. No separation of lipids is required, and the accuracy of identification and quantification is not compromised, compared to conventional precursor and neutral loss scanning.     

Application of adaptive neuro-fuzzy inference system techniques and artificial neural networks to predict solid oxide fuel cell performance in residential microgeneration installation

This study applies adaptive neuro-fuzzy inference system (ANFIS) techniques and artificial neural network (ANN) to predict solid oxide fuel cell (SOFC) performance while supplying both heat and power to a residence. A microgeneration 5 kW_el SOFC system was installed at the Canadian Centre for Housing Technology (CCHT), integrated with existing mechanical systems and connected in parallel to the grid. SOFC performance data were collected during the winter heating season and used for training of both ANN and ANFIS models. The ANN model was built on back propagation algorithm as for ANFIS model a combination of least squares method and back propagation gradient decent method were developed and applied. Both models were trained with experimental data and used to predict selective SOFC performance parameters such as fuel cell stack current, stack voltage, etc.     

Design methodology and simulation tool for floating ring termination technique

A new methodology to optimize the design of floating ring (FR) termination technique for high voltage device is presented. The basic idea is to simulate the blocking capability of the structure with only one guard ring and then extend the results to a multiple FR system. A second advantage of our method is to include the ring width in the optimization process. The effectiveness and efficiency of our methodology is illustrated by optimizing a FR structure with a junction depth x_j=5 μm and Si substrate doping 2·10¹⁴ cm⁻³. A seven rings structure is optimized giving 85% efficiency in respect to the ideal plane parallel junction breakdown voltage V_BD=840 V. The simulation results are generated by the user-oriented simulation program POWER2D for studying the voltage handling capability of arbitrary shaped power semiconductor devices. A special algorithm is implemented ensuring very fast and automatic search of the breakdown via the ionization integrals calculus. An efficient numerical algorithm to drastically reduce the number of iterations when adjusting the quasi-Fermi potential of the floating rings has also been developped     

Optimization and field demonstration of hybrid hydrogen generator/high efficiency furnace system

Hydrogen is seen as an energy carrier of the future and significant research on hydrogen generation, storage and utilization is accomplished around the world. However, an appropriate intermediate step before wide hydrogen introduction will be blending conventional fuels such as natural gas, oil or diesel with hydrogen and follow up combustion through conventional means. Due to changes in the combustion and flame characteristics of the system additional research is needed to access the limits and the impact of the fuel mix on the combustion systems performance. The hybrid system consists of a 5 kW_el electrolyzer and a residential 15 kW_th high efficiency gas fired furnace. The electrolyzer was integrated with the furnace gas supply and setup to replace 5–25% of the furnace natural gas flow with hydrogen. A mean for proper mixing of hydrogen with natural gas was provided and a control system for safe system operation was developed. Prior to the start of the field trial the hybrid system was investigated in laboratory environment. It was subjected to a variety of steady state and cycling conditions and a detailed performance and optimization analysis was performed with a range of hydrogen/natural gas mixtures. The optimized system was then installed at the Canadian Centre for Housing Technologies (CCHT) Experimental research house. The energy performance of the hybrid system was compared to the energy performance of an identical high efficiency furnace in the Control research house next door.     

Implementation of Spreadsheet Modeling to Compare the Annual Energy Performance and Cost of Microgeneration Systems

This paper presents the investigation of energy and cost saving of microgeneration systems which consist of conventional, load sharing, renewable energy and hybrid-renewable energy systems application featuring single detached house and office buildings by implementing spreadsheet modeling. Microsoft excel is employed as the spreadsheet application in this study. The system performance of each case is calculated under typical weather of ottawa, canada. These cases are calculated and analyzed in terms of thermal/cooling load （building demand） and natural gas/electricity consumption （energy supply） as well as the financial part by involving several parameters which are initial cost, annual energy consumption cost, annual operational and maintenance cost, inflation rate, and return on investment. Moreover, a house and an office have the same geometry of 200 mE. Total of seven cases modeling are developed; Case-1- a house with boiler and chiller, Case-2- an office with boiler and chiller, Case-3-a simple sum of Case l and Case 2, Case-4- a load-sharing model, Case-5- a load-sharing with GSHP （ground source heat pump）, Case-6- a load-sharing with ground source heat pump-fuel cell hybrid system （FC-GSHP）and Case-7- a load-sharing with GSHP--photovoltaic hybrid system （PVT-GSHP）. As the results, it will be observed the efficiency of the load-sharing, renewable energy, hybrid-renewable energy implementation comparing to the conventional system.     

Parametric Analysis of Solar Heating and Cooling Systems for Residential Applications

Abstract

In this paper, a parametric analysis of two solar heating and cooling systems, one using an absorption heat pump and the other one using an adsorption heat pump, was performed. The systems under investigation were designed to satisfy the energy requirements of a residential building for space heating/cooling purposes and domestic hot water production. The system with the absorption heat pump was analyzed upon varying (i) the solar collectors’ area, (ii) the volume of the hot water storage, (iii) the volume of the cold water tank, and (iv) the climatic conditions. The system with the adsorption heat pump was evaluated upon varying (i) the inlet temperature of hot water supplied to the adsorption heat pump, (ii) the volume of the hot water storage, (iii) the volume of the cold water tank, and (iv) the climatic conditions. The analyses were performed using the dynamic simulation software TRNSYS in terms of primary energy consumption, global carbon dioxide equivalent emissions, and operating costs. The performance of the solar heating and cooling systems was compared with those associated with a conventional system from energy, environmental and economic points of views in order to evaluate the potential benefits.