A Solid Oxide Fuel Cell (SOFC)-Based Biogas-from-Waste Generation System for Residential Buildings in China: A Feasibility Study

Wang, Qiancheng; Wei, Hsi Hsien; Xu, Qian

doi:10.3390/su10072395

Cited by 20 publications

(14 citation statements)

References 27 publications

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“…The residential building sector has been one of the largest energy consumers and accounts for 20-40% energy consumption as well as carbon emission [1][2][3][4][5][6][7][8]. Along with energy-efficient construction techniques and building services, occupants' choices and behaviors are critical factors contributing to residential building energy consumption [9,10]. Household energy-saving behavior is defined as "residents' behaviors for minimizing energy consumption due to their actions in the built environment."…”

Section: Introductionmentioning

confidence: 99%

Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China

et al. 2020

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Changing energy consumption behavior is a promising strategy to enhance household energy efficiency and to reduce carbon emission. Understanding the role of psychological and demographic factors in the context of energy-conservation behaviors is critical to promote energy-saving behaviors in buildings. This study first proposes a theoretical framework built on the Theory of Planned Behavior (TPB). Based on the collected survey data from 207 families (553 residents) in three communities in Xi’an, a typical city in northwest China, the research examines how three standard TPB predictors, namely attitude, subjective norm, and perceived behavioral control, as well as their interactive effects and three socio-demographic factors (i.e., house ownership, education and household income) influence building occupants’ energy-saving intention at home. Through structural equation modeling and keyword analysis, this study reveals that two interaction terms, namely attitude and subjective norms, as well as attitude and perceived behavior control, significantly influence building occupants’ energy-saving intention. Furthermore, this study implies that household income may positively associate with occupants’ energy-saving intention. The model in this study would be conducive to architects and property managers to mitigate severe building energy overuse problem in design and operation stages. Based on a qualitative analysis, the study then discusses the limitations of the study and further research direction. The results of this study would be conducive to building designers and operators to develop customized architectural or informatic interventions and to mitigate the severe energy overuse problem in the residential sector in northwest China.

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Section: Introductionmentioning

confidence: 99%

Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China

et al. 2020

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“…The Equation (7) is employed, where we assume the interest rate is 1.75% p.a. based on market expectations in the short-term and the system's lifespan is 10 years [49,50]. The assumption about the interest rate is derived from the one-year deposit rate provided by the largest commercial bank in mainland China (Industrial and Commercial Bank of China, ICBC) [51].…”

Section: Feasibility Analysismentioning

confidence: 99%

An NNwC MPPT-Based Energy Supply Solution for Sensor Nodes in Buildings and Its Feasibility Study

Chang

Wang

et al. 2018

Energies

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Sensors for data collecting are vital in the development of IoT and intelligent systems. High power consuming current and voltage monitors are indispensable in conducting maximum power point tracking (MPPT) in traditional PV energy wireless sensor nodes. This paper presents a sensor node system based on Neural Network MPPT with cloud method (NNwC) which utilizes information sharing process that is specific to sensor networks. NNwC uses a few sample sensor nodes to collect environmental parameter data such as light intensity (L) and temperature (T) to build the MPPT regression model by Neural Network. Then all other functional sensor nodes implement the model with their environmental parametervalues to conduct MPPT. As a result, the new sensor node system reduces energy consumption as well as the size and cost of the harvester. Then, this paper provides a SPICE simulation to estimate the percentage of power consumption reduced in the new sensor node system and also estimates the percentage of loss in neural network MPPT power generation compared with the perfect MPPT. Finally, the study compares the economic and environmental performance of the proposed system and the traditional ones through a case in a real building situation.Energies 2019, 12, 101 2 of 20 of pervasive and massive. Another solution employs the self-energized PV wireless sensor nodes [1,2] for power generation from solar energy. These systems commonly use batteries or supercapacitors for energy storage to maintain the continuous operation of sensor nodes. However, due to the limited PV conversion efficiency, this design requires large-size PV panels to generate enough energy for sensor nodes. These large-size sensor nodes will not only alter original environmental factors but also restrict their distribution range, and then, reduce the reliability of data collected by the sensors.Maximum power point tracking (MPPT) algorithms, a technique for increasing the output of the solar panel in a given size, is a promising solution to the energy storage problem in sensor node systems. However, MPPT requires voltage and current monitors to acquire the real-time power output of the harvester. Sensor node is a kind of low energy consumption application. In order to acquire more precise voltage and current parameters, the monitor components insulated with original output circuit should be adopted because they can obtain the voltage and current data without affecting the original values. The Hall Effect-Based Current/Voltage Monitors such as CSM series and VSM series are suitable for high accuracy current and voltage data collecting. However, the monitors, especially current monitors, not only have a high initial cost [3] but also require relatively large power support according to the load [4]. As the result, these sensors are commonly designed with space-consuming solar panels to avoid the interruption of sensors. To address such problem, there is a strong demand for a new wireless solar energy harvester for sensor node network systems with a higher conversi...

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“…Although novel SOFCs designs and several new materials have been investigated, Ni in combination with Yttria-stabilized Zirconia (YSZ) still represents today the selected approach for the anode [ 14 ]. This is because the Ni-YSZ cermet provides a proper trade-off in terms of electrochemical, thermal, and mechanical properties [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. In particular, the mechanical and thermal properties of Ni-YSZ are rather flexible and adequate to the production chain of anode-supported SOFC cells [ 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Lanthanum Ferrites-Based Exsolved Perovskites as Fuel-Flexible Anode for Solid Oxide Fuel Cells

2020

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Exsolved perovskites can be obtained from lanthanum ferrites, such as La0.6Sr0.4Fe0.8Co0.2O3, as result of Ni doping and thermal treatments. Ni can be simply added to the perovskite by an incipient wetness method. Thermal treatments that favor the exsolution process include calcination in air (e.g., 500 °C) and subsequent reduction in diluted H2 at 800 °C. These processes allow producing a two-phase material consisting of a Ruddlesden–Popper-type structure and a solid oxide solution e.g., α-Fe100-y-zCoyNizOx oxide. The formed electrocatalyst shows sufficient electronic conductivity under reducing environment at the Solid Oxide Fuel Cell (SOFC) anode. Outstanding catalytic properties are observed for the direct oxidation of dry fuels in SOFCs, including H2, methane, syngas, methanol, glycerol, and propane. This anode electrocatalyst can be combined with a full density electrolyte based on Gadolinia-doped ceria or with La0.8Sr0.2Ga0.8Mg0.2O3 (LSGM) or BaCe0.9Y0.1O3-δ (BYCO) to form a complete perovskite structure-based cell. Moreover, the exsolved perovskite can be used as a coating layer or catalytic pre-layer of a conventional Ni-YSZ anode. Beside the excellent catalytic activity, this material also shows proper durability and tolerance to sulfur poisoning. Research challenges and future directions are discussed. A new approach combining an exsolved perovskite and an NiCu alloy to further enhance the fuel flexibility of the composite catalyst is also considered. In this review, the preparation methods, physicochemical characteristics, and surface properties of exsoluted fine nanoparticles encapsulated on the metal-depleted perovskite, electrochemical properties for the direct oxidation of dry fuels, and related electrooxidation mechanisms are examined and discussed.

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A Solid Oxide Fuel Cell (SOFC)-Based Biogas-from-Waste Generation System for Residential Buildings in China: A Feasibility Study

Cited by 20 publications

References 27 publications

Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China

Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China

An NNwC MPPT-Based Energy Supply Solution for Sensor Nodes in Buildings and Its Feasibility Study

Lanthanum Ferrites-Based Exsolved Perovskites as Fuel-Flexible Anode for Solid Oxide Fuel Cells

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