A simultaneous calibration and parameter ranking method for building energy models

Yuan, Jun; Nian, Victor; Su, Bin; Meng, Qun

doi:10.1016/j.apenergy.2017.08.220

Cited by 60 publications

(26 citation statements)

References 52 publications

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“…To overcome these issues, most efforts have been directed to prevent soluble polysulfides from shuttling, by encapsulation of sulfur with conducting membranes or porous structures, most recently through designing 3D cathode architechtures or other sulfur hosts which allow improved stability as well as fast kinetics. Among conductive polymers, polypyrrole has been widely investigated owing to its high electronic conductivity, low cost of precursors, and ease of synthesis. However, studies of polypyrrole encapsulated sulfur composites have shown no major successes perhaps due to the presence of large pores (≈5 nm, Figure S1, Supporting Information) in the encapsulating polymer.…”

Section: Introductionmentioning

confidence: 99%

Stabilizing Li–S Battery Through Multilayer Encapsulation of Sulfur

Ansari

Zhang

Wen

et al. 2018

Advanced Energy Materials

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with the state-of-the-art high voltage cathode batteries with theoretical specific energy of ≈600 Wh kg −1 . In addition, elemental sulfur is environmentally friendly, inexpensive, and abundant.The Li-S battery poses some challenges that need to be overcome. One of the major challenges of the Li-S battery is that it generally suffers from the shuttling of soluble polysulfide species (Li 2 S x , x = 4-8) during cycling, which results in a low Coulombic efficiency and reduces its cycle life, typically to less than 100 cycles. In addition, since sulfur [1] and lithium sulfide are electronic insulators, the electronic conductivity of the cathode typically has to be augmented by addition of a significant amount of conductive carbon. To overcome these issues, most efforts have been directed to prevent soluble polysulfides from shuttling, by encapsulation of sulfur with conducting membranes or porous structures, most recently through designing 3D cathode architechtures [30][31][32][33][34] or other sulfur hosts [35,36] which allow improved stability as well as fast kinetics. Among conductive polymers, polypyrrole has been widely investigated [20,26,28,37] owing to its high electronic conductivity, low cost of precursors, and ease of synthesis. However, studies of polypyrrole encapsulated sulfur composites have shown no major successes perhaps due to the presence of large pores (≈5 nm, Figure S1, Supporting Information) in the encapsulating polymer. In addition, encapsulated sulfur nanocomposites require dissolution of a certain amount of sulfur by organic solvents to provide a void space in order to accommodate the large volumetric expansion of sulfur upon lithiation. [26] Here, for the first time, we demonstrate a strategy to improve the stability of Li-S battery using a multilayer encapsulation of sulfur nanoparticles. To ensure an effective encapsulation of sulfur, the following coating layers are selected. We coat the sulfur nanoparticles with MnO 2 particles as the interior shell since it was demonstrated that soluble lithium polysulfide species can be easily oxidized to thiosulfate groups by MnO 2 particles. The thiosulfate groups formed on the surface of the MnO 2 are proposed to anchor long-chain polysulfides by catenating them to form polythionates and therefore catalyze their conversion to insoluble short-chain polysulfides which significantly minimizes the shuttle effect. [29] We use polypyrrole as the exterior shell since (a) its porous structure allows electrolyte uptake, (b) its flexible network supports and contains the inner MnO 2 shell during discharging where the volumetric expansion of sulfur occurs, and (c) its remarkable electronic conductivity Advancements in portable electronic devices and electric powered transportation has drawn more attention to high energy density batteries, especially lithium-sulfur batteries due to the low cost of sulfur and its high energy density. However, the lithium-sulfur battery is still quite far from commercialization mostly because of incompatibility between all ma...

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Section: Introductionmentioning

confidence: 99%

Stabilizing Li–S Battery Through Multilayer Encapsulation of Sulfur

Ansari

Zhang

Wen

et al. 2018

Advanced Energy Materials

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“…Many studies have been published [24,[76][77][78][79] reporting the need to calibrate the buildings' energy simulation tools, even proposing complex methods oriented to enable the process. However, they all start with highly detailed models of the buildings and involve large-scale monitoring of the buildings over long periods of time.…”

Section: Correction Of Energy Simulation Results Using Energy Billsmentioning

confidence: 99%

Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment

et al. 2019

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The reduction of energy consumption in the residential sector presents substantial potential through the implementation of energy efficiency improvement measures. Current trends involve the use of simulation tools which obtain the buildings’ energy performance to support the development of possible solutions to help reduce energy consumption. However, simulation tools demand considerable amounts of data regarding the buildings’ geometry, construction, and frequency of use. Additionally, the measured values tend to be different from the estimated values obtained with the use of energy simulation programs, an issue known as the ‘performance gap’. The proposed methodology provides a solution for both of the aforementioned problems, since the amount of data needed is considerably reduced and the results are calibrated using measured values. This new approach allows to find an optimal retrofitting project by life cycle energy assessment, in terms of cost and energy savings, for individual buildings as well as several blocks of buildings. Furthermore, the potential for implementation of the methodology is proven by obtaining a comprehensive energy rehabilitation plan for a residential building. The developed methodology provides highly accurate estimates of energy savings, directly linked to the buildings’ real energy needs, reducing the difference between the consumption measured and the predictions.

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“…In these terms, the building modelling parameter means recognizing the type of building design (the design of the final roof and elevations) [32]. The design factors relevant to this parameter include: (i) The identification of the function and use of the building; (ii) type of energy use and consumption; (iii) CO 2 production; (iv) exterior area of roof and walls; and (v) the exterior window-to-wall ratio associated with the building [55][56][57]. Examples of the associated design features of the climate data parameter include the topography, humidity level, solar radiation, wind speed, the concentration of dust in the air, evaporation, rainy days, precipitation, temperature, built environment, latitude, and longitude of the exact location where the PV modules are to be installed [58][59][60].…”

Section: Performance Parameters and Design Factorsmentioning

confidence: 99%

Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design

et al. 2019

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Use of photovoltaic modules in buildings has been reported to be an effective tool in managing energy consumption. The novelty in the research herein is in a framework that integrates different performance parameters through the use of an experimental design to expect all variables via linear regression analysis. An emphasis is placed on making the method readily available to practitioners and experts in the area of renewable energy, using standard procedure and easily accessible software. This work empowers the decision-making process and sustainability through a parametric analysis of the installation of photovoltaic modules to increase their energy output towards nearly zero energy buildings. A case study of a group of photovoltaic modules is examined in four cities with different locations and climate data to validate the proposed framework. Results demonstrate that the installation of photovoltaic modules on the mounted roof is better than elevations, and the vertical installation of modules is the worst possible inclination to maximize the yielded energy. The impact of inclination is higher than orientation in influencing the energy productivity of photovoltaic modules. This work specifies integrating such modules mounted on roofs and elevations towards the equator line, by a proportion of inclination/latitude equal to 85 ± 3%, to maximize the energy output.

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A simultaneous calibration and parameter ranking method for building energy models

Cited by 60 publications

References 52 publications

Stabilizing Li–S Battery Through Multilayer Encapsulation of Sulfur

Stabilizing Li–S Battery Through Multilayer Encapsulation of Sulfur

Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment

Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design

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