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Dr. Wei Yang
Faculty of Architecture, Building and Planning, the University of Melbourne, Parkville, VIC 3010, Australia

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Research Keywords & Expertise

0 Life Cycle Assessment
0 urban heat island
0 Building energy efficiency
0 Outdoor Thermal Comfort
0 Building performance evaluation

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Journal article
Published: 07 May 2021 in Sustainable Energy Technologies and Assessments
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This study performed design optimization on a building with integrated photovoltaic, Trombe wall and phase change material based on building life cycle cost (LCC) and indoor thermal comfort. A total of thirty-four design variables were considered as the optimization variables. The optimization process consists of four steps. Firstly, Monte Carlo Method was used to generate a set of design samples, and the LCC and indoor discomfort degree hour were obtained through computer simulation. Secondly, stepwise linear regression (SLR) and artificial neural network (ANN) models were developed as the prediction models. ANN models exhibited better prediction performance with errors of less than 6%. Thirdly, six optimization algorithms were selected to couple with the ANN models for design optimization and the Strength Pareto Evolutionary Algorithm II (SPEA II) presented the best performance. Finally, optimization with different groups of design variables were conducted by using the SPEA II algorithm. Compared with the reference building, the optimal solutions reduce life cycle cost up to 45.51% and improve thermal comfort level up to 43.81%. The recommended heating and cooling temperature setpoint is around 18 °C and 24 °C, respectively. The PCM type convergence value is BioPCM M182/Q21, and the east and west window-to-wall ratios are around 10%.

ACS Style

Yaolin Lin; Shengli Zhong; Wei Yang; Xiaoli Hao; Chun-Qing Li. Multi-objective design optimization on building integrated photovoltaic with Trombe wall and phase change material based on life cycle cost and thermal comfort. Sustainable Energy Technologies and Assessments 2021, 46, 101277 .

AMA Style

Yaolin Lin, Shengli Zhong, Wei Yang, Xiaoli Hao, Chun-Qing Li. Multi-objective design optimization on building integrated photovoltaic with Trombe wall and phase change material based on life cycle cost and thermal comfort. Sustainable Energy Technologies and Assessments. 2021; 46 ():101277.

Chicago/Turabian Style

Yaolin Lin; Shengli Zhong; Wei Yang; Xiaoli Hao; Chun-Qing Li. 2021. "Multi-objective design optimization on building integrated photovoltaic with Trombe wall and phase change material based on life cycle cost and thermal comfort." Sustainable Energy Technologies and Assessments 46, no. : 101277.

Journal article
Published: 02 May 2021 in Buildings
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This paper proposed an optimization method to minimize the building energy consumption and visual discomfort for a passive building in Shanghai, China. A total of 35 design parameters relating to building form, envelope properties, thermostat settings, and green roof configurations were considered. First, the Latin hypercube sampling method (LHSM) was used to generate a set of design samples, and the energy consumption and visual discomfort of the samples were obtained through computer simulation and calculation. Second, four machine learning prediction models, including stepwise linear regression (SLR), back-propagation neural networks (BPNN), support vector machine (SVM), and random forest (RF) models, were developed. It was found that the BPNN model performed the best, with average absolute relative errors of 3.27% and 1.25% for energy consumption and visual comfort, respectively. Third, six optimization algorithms were selected to couple with the BPNN models to find the optimal design solutions. The multi-objective ant lion optimization (MOALO) algorithm was found to be the best algorithm. Finally, optimization with different groups of design variables was conducted by using the MOALO algorithm with the associated outcomes being analyzed. Compared with the reference building, the optimal solutions helped reduce energy consumption up to 34.8% and improved visual discomfort up to 100%.

ACS Style

Yaolin Lin; Luqi Zhao; Xiaohong Liu; Wei Yang; Xiaoli Hao; Lin Tian. Design Optimization of a Passive Building with Green Roof through Machine Learning and Group Intelligent Algorithm. Buildings 2021, 11, 192 .

AMA Style

Yaolin Lin, Luqi Zhao, Xiaohong Liu, Wei Yang, Xiaoli Hao, Lin Tian. Design Optimization of a Passive Building with Green Roof through Machine Learning and Group Intelligent Algorithm. Buildings. 2021; 11 (5):192.

Chicago/Turabian Style

Yaolin Lin; Luqi Zhao; Xiaohong Liu; Wei Yang; Xiaoli Hao; Lin Tian. 2021. "Design Optimization of a Passive Building with Green Roof through Machine Learning and Group Intelligent Algorithm." Buildings 11, no. 5: 192.

Journal article
Published: 14 December 2020 in Energies
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A Chinese traditional narrow street, named Cold-Lane, can create a microclimatic zone that provides pedestrian thermal comfort under hot and humid climate conditions. This phenomenon was observed through experimental measurement during the summer of 2016. The heat transfer rate over the pedestrian body surface was calculated to reveal why pedestrians experience a cool sensation, and computational flow dynamics (CFD) simulation was carried out to study the influence of the street aspect ratio on the shading effect. It was found that the perception of thermal comfort can be attributed mainly to the radiation between the relatively cool surrounding walls and the human body, and the wind velocity has little effect on sensible heat dissipation. The cool horizontal and vertical surfaces in the street canyon are mainly due to the shading effect as a result of the small aspect ratio, which is a typical characteristic of the traditional Chinese street. The shading effect of the high walls on both sides creates the cooling effect of this narrow street.

ACS Style

Hui Chen; Yin Wei; Yaolin Lin; Wei Yang; XiaoMing Chen; Maria Kolokotroni; Xiaohong Liu; Guoqiang Zhang. Investigation on the Thermal Condition of a Traditional Cold-Lane in Summer in Subtropical Humid Climate Region of China. Energies 2020, 13, 6602 .

AMA Style

Hui Chen, Yin Wei, Yaolin Lin, Wei Yang, XiaoMing Chen, Maria Kolokotroni, Xiaohong Liu, Guoqiang Zhang. Investigation on the Thermal Condition of a Traditional Cold-Lane in Summer in Subtropical Humid Climate Region of China. Energies. 2020; 13 (24):6602.

Chicago/Turabian Style

Hui Chen; Yin Wei; Yaolin Lin; Wei Yang; XiaoMing Chen; Maria Kolokotroni; Xiaohong Liu; Guoqiang Zhang. 2020. "Investigation on the Thermal Condition of a Traditional Cold-Lane in Summer in Subtropical Humid Climate Region of China." Energies 13, no. 24: 6602.

Research article
Published: 20 August 2020 in Energy Exploration & Exploitation
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About one-third of the primary energy in the world is consumed by buildings. A large amount of CO2 emission due to building energy consumption has threatened the sustainable development of the world. Improvement on the building energy performance, especially by integration with renewable energy resources has attracted interest worldwide to reduce greenhouse gas emission to make our society more sustainable. This Special Issue on building integrated renewable energy was open to all contributors in the field of building energy efficiency. The original experimental studies, numerical simulations, and reviews in all aspects of renewable energy utilization, management, and optimization have been considered. In the event, all these topics were covered in the extensive submissions accepted, but interesting papers on other aspects of building energy efficiency were also received. The purpose of this editorial is to summarize the main research findings of accepted papers in this Special Issue, including the use of renewable energy and energy saving technologies in buildings and identify a number of research questions and research directions.

ACS Style

Yaolin Lin; Wei Yang; Xiaoli Hao; Changxiong Yu. Building integrated renewable energy. Energy Exploration & Exploitation 2020, 39, 603 -607.

AMA Style

Yaolin Lin, Wei Yang, Xiaoli Hao, Changxiong Yu. Building integrated renewable energy. Energy Exploration & Exploitation. 2020; 39 (2):603-607.

Chicago/Turabian Style

Yaolin Lin; Wei Yang; Xiaoli Hao; Changxiong Yu. 2020. "Building integrated renewable energy." Energy Exploration & Exploitation 39, no. 2: 603-607.

Journal article
Published: 01 November 2019 in Tunnelling and Underground Space Technology
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ACS Style

Wei Yang; Chun-Qing Li; Hassan Baji. Design for service life of underground space based on water seepage criterion. Tunnelling and Underground Space Technology 2019, 93, 1 .

AMA Style

Wei Yang, Chun-Qing Li, Hassan Baji. Design for service life of underground space based on water seepage criterion. Tunnelling and Underground Space Technology. 2019; 93 ():1.

Chicago/Turabian Style

Wei Yang; Chun-Qing Li; Hassan Baji. 2019. "Design for service life of underground space based on water seepage criterion." Tunnelling and Underground Space Technology 93, no. : 1.

Journal article
Published: 01 November 2019 in Journal of Structural Engineering
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The deterioration of structural systems is unavoidable after their long time in service. To ensure the safety of these systems, an effective inspection strategy with a minimal cost is essential. This paper presents an analytical approach for determining the optimal inspection plan using a cost-based criterion in which structural damage and failure are modeled as stochastic processes. This allows the consideration of the correlation of damages at different times in the reliability-based inspection plan. An example is provided to illustrate the application of the proposed methodology, taking the number of inspection actions and the critical damage level at which repair is performed as the optimization variables. The proposed procedure provides a fast solution for the optimization of an inspection plan with superior performance over those based on simulation. In addition, correlation has a big impact on the result of an optimal inspection plan matching that of the cost of failure.

ACS Style

Chun-Qing Li; Hassan Baji; Wei Yang. Optimal Inspection Plan for Deteriorating Structural Members Using Stochastic Models with Application to Buried Pipelines. Journal of Structural Engineering 2019, 145, 04019119 .

AMA Style

Chun-Qing Li, Hassan Baji, Wei Yang. Optimal Inspection Plan for Deteriorating Structural Members Using Stochastic Models with Application to Buried Pipelines. Journal of Structural Engineering. 2019; 145 (11):04019119.

Chicago/Turabian Style

Chun-Qing Li; Hassan Baji; Wei Yang. 2019. "Optimal Inspection Plan for Deteriorating Structural Members Using Stochastic Models with Application to Buried Pipelines." Journal of Structural Engineering 145, no. 11: 04019119.

Journal article
Published: 25 July 2019 in Construction and Building Materials
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This paper presents analytical models for evaluating effective hydraulic conductivity, diffusivity and sorptivity of concrete considering the properties of the Interfacial Transition Zone (ITZ) and the aggregate size distribution. Results of the proposed models compare well with the experimental results and those obtained from rigorous numerical Finite Element (FE) analysis. It is also found that a change of Interfacial Transition Zone (ITZ) properties has more influence on the effective hydraulic conductivity than it has on the effective hydraulic sorptivity. The significance of the proposed models is that they can estimate the hydraulic sorptivity and diffusivity of concrete by only knowing the hydraulic properties of mortar, effectively extricating the need for sophisticated and time-consuming FE analysis required for estimation of the effective hydraulic conductivity of concrete at the meso-scale. Furthermore, these models offer scientific insight into the effect of different components of concrete on its effective hydraulic properties.

ACS Style

Hassan Baji; Wei Yang; Chun-Qing Li; Wenhai Shi. Analytical models for effective hydraulic sorptivity, diffusivity and conductivity of concrete with interfacial transition zone. Construction and Building Materials 2019, 225, 555 -568.

AMA Style

Hassan Baji, Wei Yang, Chun-Qing Li, Wenhai Shi. Analytical models for effective hydraulic sorptivity, diffusivity and conductivity of concrete with interfacial transition zone. Construction and Building Materials. 2019; 225 ():555-568.

Chicago/Turabian Style

Hassan Baji; Wei Yang; Chun-Qing Li; Wenhai Shi. 2019. "Analytical models for effective hydraulic sorptivity, diffusivity and conductivity of concrete with interfacial transition zone." Construction and Building Materials 225, no. : 555-568.

Articles
Published: 02 April 2019 in Advances in Building Energy Research
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In China, little research on outdoor thermal comfort has been conducted in the hot-summer and cold-winter zone where occupants are in the state of thermal discomfort for most time of the year. This paper presents results from both field measurement and questionnaire survey in the city of Wuhan in both summer and winter seasons about seasonal adaptation effect on outdoor thermal comfort. A total of 417 samples were collected in summer and 426 samples were collected in winter. The neutral standard effective temperature (SET*) in winter and summer was found to be 24.7°C and 25.6°C, respectively. Occupants achieved thermal comfort when their thermal sensation was slightly cool in summer and slightly warm in winter. The SET* with 100% thermal acceptance rate in summer and winter was found to be 27.9°C, 23.4°C, respectively. The results reveal large seasonal differences in achieving outdoor thermal comfort for people in hot-summer and cold-winter climate zone. This research can add more database to outdoor thermal comfort research in China and provide more insights into the thermal adaptation of seasonal effect on outdoor thermal comfort. Its findings can also assist urban designers to create thermally comfortable urban spaces in different seasons.

ACS Style

Zeng Zhou; Qinli Deng; Wei Yang; Junli Zhou. Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city. Advances in Building Energy Research 2019, 14, 202 -217.

AMA Style

Zeng Zhou, Qinli Deng, Wei Yang, Junli Zhou. Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city. Advances in Building Energy Research. 2019; 14 (2):202-217.

Chicago/Turabian Style

Zeng Zhou; Qinli Deng; Wei Yang; Junli Zhou. 2019. "Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city." Advances in Building Energy Research 14, no. 2: 202-217.

Journal article
Published: 21 March 2019 in Journal of Pressure Vessel Technology
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This paper presents a reliability-based methodology for assessing fracture failures of steel pipes with sharp corrosion pits. Based on newly developed models of elastic fracture toughness, the simple criterion of stress intensity factor (SIF) is used to establish the limit state functions for pipes with sharp corrosion pits in the longitudinal and circumferential directions. A stochastic model of load effect is developed and a time-dependent reliability method based on first passage probability for nonstationary lognormal processes is employed to quantify the probability of failure and predict the remaining service life. After applying the methodology to a case study, sensitivity analysis is carried out to identify the most influential variables on the probability of failure. It is found in the paper that the correlation coefficient has a considerable effect on probability of failure of steel pipes with sharp corrosion pits and that the larger the mode I fracture toughness is, the smaller the probability of pipe failure is.

ACS Style

Guoyang Fu; Wei Yang; Wenni Deng; Chun-Qing Li; Sujeeva Setunge. Prediction of Fracture Failure of Steel Pipes With Sharp Corrosion Pits Using Time-Dependent Reliability Method With Lognormal Process. Journal of Pressure Vessel Technology 2019, 141, 1 .

AMA Style

Guoyang Fu, Wei Yang, Wenni Deng, Chun-Qing Li, Sujeeva Setunge. Prediction of Fracture Failure of Steel Pipes With Sharp Corrosion Pits Using Time-Dependent Reliability Method With Lognormal Process. Journal of Pressure Vessel Technology. 2019; 141 (3):1.

Chicago/Turabian Style

Guoyang Fu; Wei Yang; Wenni Deng; Chun-Qing Li; Sujeeva Setunge. 2019. "Prediction of Fracture Failure of Steel Pipes With Sharp Corrosion Pits Using Time-Dependent Reliability Method With Lognormal Process." Journal of Pressure Vessel Technology 141, no. 3: 1.

Journal article
Published: 15 March 2019 in Energies
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This paper investigates the energy performances of a hybrid system composed of a phase change materials-ventilated Trombe wall (PCMs-VTW) and a photovoltaic/thermal panel integrated with phase change material (PV/T-PCM). Equivalent overall output energy (QE) was proposed for energy performance evaluation regarding different energy forms, diversified conversions and hybrid thermal storages. This study focuses on parameters’ optimization of the PV/T-PCM system and parameters in the PCMs-VTW are kept optimal. Based on the experimentally validated numerical modelling, nine trial experiments have been conducted following Taguchi L9 (34) standard orthogonal array. The higher the better concept was implemented and the optimal combination of operating parameters was thereafter identified by using signal-to-noise (S/N) ratio and Analysis of Variance (ANOVA) method. The results show that QE is highly dependent on the mass flow rate, followed by the diameter of active cooling water pipe. However, the inlet cooling water temperature and the thickness of PCM have limited influence on QE. The optimal combination of each factor was identified as B3A3C2D1 (mass flow rate of 1 kg/s, diameter of water pipe of 0.6 m, inlet cooling water temperature of 15 °C and the thickness of PCM of 20 mm) with the highest QE of 20,700 kWh.

ACS Style

Xiaohong Liu; Yuekuan Zhou; Chun-Qing Li; Yaolin Lin; Wei Yang; Guoqiang Zhang. Optimization of a New Phase Change Material Integrated Photovoltaic/Thermal Panel with The Active Cooling Technique Using Taguchi Method. Energies 2019, 12, 1022 .

AMA Style

Xiaohong Liu, Yuekuan Zhou, Chun-Qing Li, Yaolin Lin, Wei Yang, Guoqiang Zhang. Optimization of a New Phase Change Material Integrated Photovoltaic/Thermal Panel with The Active Cooling Technique Using Taguchi Method. Energies. 2019; 12 (6):1022.

Chicago/Turabian Style

Xiaohong Liu; Yuekuan Zhou; Chun-Qing Li; Yaolin Lin; Wei Yang; Guoqiang Zhang. 2019. "Optimization of a New Phase Change Material Integrated Photovoltaic/Thermal Panel with The Active Cooling Technique Using Taguchi Method." Energies 12, no. 6: 1022.

Journal article
Published: 12 February 2019 in Tunnelling and Underground Space Technology
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This paper presents a methodology for determining the probability of system failure of corrosion affected steel pipelines with multiple failure modes. The failure modes include fracture, strength failure, deflection and buckling and they are all modelled as stochastic processes with correlations among them. The first passage probability theory is employed to quantify the probability of pipe failure. A case study is presented to illustrate the proposed methodology, followed by a sensitivity analysis to investigate the effects of key random variables on the probability of pipe failure. It is found that correlation of the load effect process at different points in time and the correlation among different failure modes have a considerable effect on the probability of failure for each failure mode and probability of system failure respectively. It is also found that the corrosion model and pipe thickness are most influential with positive and negative indices respectively on the probability of pipe failure for all failure modes. The methodology presented in this paper can help pipe engineers and asset managers develop a risk-informed maintenance strategy for corrosion-affected steel pipelines.

ACS Style

Guoyang Fu; Wei Yang; Chun-Qing Li; Wenhai Shi. Reliability analysis of corrosion affected underground steel pipes considering multiple failure modes and their stochastic correlations. Tunnelling and Underground Space Technology 2019, 87, 56 -63.

AMA Style

Guoyang Fu, Wei Yang, Chun-Qing Li, Wenhai Shi. Reliability analysis of corrosion affected underground steel pipes considering multiple failure modes and their stochastic correlations. Tunnelling and Underground Space Technology. 2019; 87 ():56-63.

Chicago/Turabian Style

Guoyang Fu; Wei Yang; Chun-Qing Li; Wenhai Shi. 2019. "Reliability analysis of corrosion affected underground steel pipes considering multiple failure modes and their stochastic correlations." Tunnelling and Underground Space Technology 87, no. : 56-63.

Research article
Published: 15 January 2019 in Frontiers in Energy
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With increasing awareness of sustainability, demands on optimized design of building shapes with a view to maximize its thermal performance have become stronger. Current research focuses more on building envelopes than shapes, and thermal comfort of building occupants has not been considered in maximizing thermal performance in building shape optimization. This paper attempts to develop an innovative ANN (artificial neural network)-exhaustive-listing method to optimize the building shapes and envelope physical properties in achieving maximum thermal performance as measured by both thermal load and comfort hour. After verified, the developed method is applied to four different building shapes in five different climate zones in China. It is found that the building shape needs to be treated separately to achieve sufficient accuracy of prediction of thermal performance and that the ANN is an accurate technique to develop models of discomfort hour with errors of less than 1.5%. It is also found that the optimal solutions favor the smallest window-to-external surface area with triplelayer low-E windows and insulation thickness of greater than 90 mm. The merit of the developed method is that it can rapidly reach the optimal solutions for most types of building shapes with more than two objective functions and large number of design variables.

ACS Style

Yaolin Lin; Wei Yang. An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties with maximum thermal performance. Frontiers in Energy 2019, 15, 550 -563.

AMA Style

Yaolin Lin, Wei Yang. An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties with maximum thermal performance. Frontiers in Energy. 2019; 15 (2):550-563.

Chicago/Turabian Style

Yaolin Lin; Wei Yang. 2019. "An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties with maximum thermal performance." Frontiers in Energy 15, no. 2: 550-563.

Article
Published: 29 October 2018 in Structure and Infrastructure Engineering
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Deterioration of reinforced concrete (RC) structures is unavoidable after their long time in service, with corrosion being the major mechanism of deterioration. In order to ensure safety of deteriorated structures, an effective rehabilitation plan is essential. Although considerable research on strengthening of RC structures using fibre-reinforced polymers (FRPs) composites has been undertaken, more is on the methods of strengthening and effects of corrosion on strength of RC columns than that on the prediction of optimum strengthening time. This paper presents a methodology for determining the optimal strengthening time and the required number of FRP layers for corrosion-affected RC structures with application to columns. The methodology is based on the time-dependent reliability method and the renewal theory. An example is provided to illustrate the application of the proposed methodology. It is found in this study that an optimum point for the formulated objective function exists, and that outcomes of optimisation problem, i.e. strengthening time and number of required FRP layers, are sensitive to corrosion rate. The significance of the proposed methodology is that it provides guidance for practitioners and asset managers to decide when and how to strengthen deteriorated structural members.

ACS Style

Hassan Baji; Wei Yang; Chun-Qing Li. Optimal FRP-strengthening strategy for corrosion-affected reinforced concrete columns. Structure and Infrastructure Engineering 2018, 14, 1586 -1597.

AMA Style

Hassan Baji, Wei Yang, Chun-Qing Li. Optimal FRP-strengthening strategy for corrosion-affected reinforced concrete columns. Structure and Infrastructure Engineering. 2018; 14 (12):1586-1597.

Chicago/Turabian Style

Hassan Baji; Wei Yang; Chun-Qing Li. 2018. "Optimal FRP-strengthening strategy for corrosion-affected reinforced concrete columns." Structure and Infrastructure Engineering 14, no. 12: 1586-1597.

Research article
Published: 29 August 2018 in Advances in Meteorology
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A climate-responsive landscape design can create a more livable urban microclimate with adequate human comfortability. This paper aims to quantitatively investigate the effects of landscape design elements of pavement materials, greenery, and water bodies on urban microclimate and thermal comfort in a high-rise residential area in the tropic climate of Singapore. A comprehensive field measurement is undertaken to obtain real data on microclimate parameters for calibration of the microclimate-modeling software ENVI-met 4.0. With the calibrated ENVI-met, seven urban landscape scenarios are simulated and their effects on thermal comfort as measured by physiologically equivalent temperature (PET) are evaluated. It is found that the maximum improvement of PET reduction with suggested landscape designs is about 12°C, and high-albedo pavement materials and water bodies are not effective in reducing heat stress in hot and humid climate conditions. The combination of shade trees over grass is the most effective landscape strategy for cooling the microclimate. The findings from the paper can equip urban designers with knowledge and techniques to mitigate urban heat stress.

ACS Style

Wei Yang; Yaolin Lin; Chun-Qing Li. Effects of Landscape Design on Urban Microclimate and Thermal Comfort in Tropical Climate. Advances in Meteorology 2018, 2018, 1 -13.

AMA Style

Wei Yang, Yaolin Lin, Chun-Qing Li. Effects of Landscape Design on Urban Microclimate and Thermal Comfort in Tropical Climate. Advances in Meteorology. 2018; 2018 ():1-13.

Chicago/Turabian Style

Wei Yang; Yaolin Lin; Chun-Qing Li. 2018. "Effects of Landscape Design on Urban Microclimate and Thermal Comfort in Tropical Climate." Advances in Meteorology 2018, no. : 1-13.

Journal article
Published: 14 June 2018 in Energies
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Thermal load and indoor comfort level are two important building performance indicators, rapid predictions of which can help significantly reduce the computation time during design optimization. In this paper, a three-step approach is used to develop and evaluate prediction models. Firstly, the Latin Hypercube Sampling Method (LHSM) is used to generate a representative 19-dimensional design database and DesignBuilder is then used to obtain the thermal load and discomfort degree hours through simulation. Secondly, samples from the database are used to develop and validate seven prediction models, using data mining approaches including multilinear regression (MLR), chi-square automatic interaction detector (CHAID), exhaustive CHAID (ECHAID), back-propagation neural network (BPNN), radial basis function network (RBFN), classification and regression trees (CART), and support vector machines (SVM). It is found that the MLR and BPNN models outperform the others in the prediction of thermal load with average absolute error of less than 1.19%, and the BPNN model is the best at predicting discomfort degree hour with 0.62% average absolute error. Finally, two hybrid models—MLR (MLR + BPNN) and MLR-BPNN—are developed. The MLR-BPNN models are found to be the best prediction models, with average absolute error of 0.82% in thermal load and 0.59% in discomfort degree hour.

ACS Style

Yaolin Lin; Shiquan Zhou; Wei Yang; Long Shi; Chun-Qing Li. Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches. Energies 2018, 11, 1570 .

AMA Style

Yaolin Lin, Shiquan Zhou, Wei Yang, Long Shi, Chun-Qing Li. Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches. Energies. 2018; 11 (6):1570.

Chicago/Turabian Style

Yaolin Lin; Shiquan Zhou; Wei Yang; Long Shi; Chun-Qing Li. 2018. "Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches." Energies 11, no. 6: 1570.

Comment
Published: 04 June 2018 in Energies
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Note: In lieu of an abstract, this is an excerpt from the first page.Excerpt I have read, with interest, the article authorized by Hong and Kim, which was published in Energies 2018, 11, 407; doi:10.3390/en11020407: entitled “Development of a Data-Driven Predictive Model of Supply Air Temperature in an Air-Handling Unit for Conserving Energy”

ACS Style

Yaolin Lin; Wei Yang. Comments to Paper Entitled: Development of a Data-Driven Predictive Model of Supply Air Temperature in an Air-Handling Unit for Conserving Energy. Energies 2018, 11, 407. Energies 2018, 11, 1453 .

AMA Style

Yaolin Lin, Wei Yang. Comments to Paper Entitled: Development of a Data-Driven Predictive Model of Supply Air Temperature in an Air-Handling Unit for Conserving Energy. Energies 2018, 11, 407. Energies. 2018; 11 (6):1453.

Chicago/Turabian Style

Yaolin Lin; Wei Yang. 2018. "Comments to Paper Entitled: Development of a Data-Driven Predictive Model of Supply Air Temperature in an Air-Handling Unit for Conserving Energy. Energies 2018, 11, 407." Energies 11, no. 6: 1453.

Journal article
Published: 01 June 2018 in Journal of Engineering Mechanics
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Surface cracks with different orientations have been recognized as a major cause of potential failures of thin metal structures, which are often under biaxial loading. It has been known that, for cracked ductile metals, plasticity results in an easing of stress intensity at the crack front and ultimately increases the total fracture toughness of the metal. To enable the use of linear elastic fracture mechanics for ductile material failure prediction, the plastic portion of fracture toughness must be excluded. This paper aims to develop a J-integral based method for determining the elastic fracture toughness of ductile metal plates with inclined cracks under biaxial loading. The derived elastic fracture toughness is a function of the plate and crack geometry, strain-hardening coefficient, yield strength, fracture toughness, biaxiality ratio, and inclination angle. It is found that an increase in yield strength or relative crack depth, or a decrease in Mode-I fracture toughness, leads to a larger ratio of elastic fracture toughness to total fracture toughness. It is also found that the effect of biaxiality ratio and inclination angle on elastic fracture toughness is highly dependent on total fracture toughness. It can be concluded that the developed model can accurately predict the fracture failure of ductile thin metal structures with inclined cracks under biaxial loading.

ACS Style

Chun-Qing Li; Guoyang Fu; Wei Yang; Shangtong Yang. J-Integral Solution for Elastic Fracture Toughness for Plates with Inclined Cracks under Biaxial Loading. Journal of Engineering Mechanics 2018, 144, 04018026 .

AMA Style

Chun-Qing Li, Guoyang Fu, Wei Yang, Shangtong Yang. J-Integral Solution for Elastic Fracture Toughness for Plates with Inclined Cracks under Biaxial Loading. Journal of Engineering Mechanics. 2018; 144 (6):04018026.

Chicago/Turabian Style

Chun-Qing Li; Guoyang Fu; Wei Yang; Shangtong Yang. 2018. "J-Integral Solution for Elastic Fracture Toughness for Plates with Inclined Cracks under Biaxial Loading." Journal of Engineering Mechanics 144, no. 6: 04018026.

Journal article
Published: 01 May 2018 in Renewable and Sustainable Energy Reviews
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ACS Style

Long Shi; Guomin Kevin Zhang; Wei Yang; Dongmei Huang; Xudong Cheng; Sujeeva Setunge. Determining the influencing factors on the performance of solar chimney in buildings. Renewable and Sustainable Energy Reviews 2018, 88, 223 -238.

AMA Style

Long Shi, Guomin Kevin Zhang, Wei Yang, Dongmei Huang, Xudong Cheng, Sujeeva Setunge. Determining the influencing factors on the performance of solar chimney in buildings. Renewable and Sustainable Energy Reviews. 2018; 88 ():223-238.

Chicago/Turabian Style

Long Shi; Guomin Kevin Zhang; Wei Yang; Dongmei Huang; Xudong Cheng; Sujeeva Setunge. 2018. "Determining the influencing factors on the performance of solar chimney in buildings." Renewable and Sustainable Energy Reviews 88, no. : 223-238.

Original research article
Published: 05 April 2018 in Frontiers in Energy Research
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Building design following the energy efficiency standards may not achieve the optimal performance in terms of investment cost, energy consumption and thermal comfort. In this paper, an improved multi-objective genetic algorithm (NSGA-II) is combined with building simulation to assist building design optimization for five selected cities located in the hot summer and cold winter region in China. The trade-offs between the annual energy consumption (AEC) and initial construction cost, as well as between life cycle cost (LCC) and number of thermal discomfort hours, were explored. Sensitivity analysis of various design parameters on building energy consumption is performed. The optimizations predicted AEC reduction of 29.08% on average, as compared to a reference building designed following the standard, and 38.6% with 3.18% more cost on the initial investment. New values for a number of building design parameters are recommended for the revision of relevant building energy efficiency standard.

ACS Style

Yaolin Lin; Wei Yang. Application of Multi-Objective Genetic Algorithm Based Simulation for Cost-Effective Building Energy Efficiency Design and Thermal Comfort Improvement. Frontiers in Energy Research 2018, 6, 1 .

AMA Style

Yaolin Lin, Wei Yang. Application of Multi-Objective Genetic Algorithm Based Simulation for Cost-Effective Building Energy Efficiency Design and Thermal Comfort Improvement. Frontiers in Energy Research. 2018; 6 ():1.

Chicago/Turabian Style

Yaolin Lin; Wei Yang. 2018. "Application of Multi-Objective Genetic Algorithm Based Simulation for Cost-Effective Building Energy Efficiency Design and Thermal Comfort Improvement." Frontiers in Energy Research 6, no. : 1.

Journal article
Published: 01 April 2018 in Journal of Engineering Mechanics
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ACS Style

Afshin Firouzi; Wei Yang; Chun-Qing Li. Efficient Solution for Calculation of Upcrossing Rate of Nonstationary Gaussian Process. Journal of Engineering Mechanics 2018, 144, 04018015 .

AMA Style

Afshin Firouzi, Wei Yang, Chun-Qing Li. Efficient Solution for Calculation of Upcrossing Rate of Nonstationary Gaussian Process. Journal of Engineering Mechanics. 2018; 144 (4):04018015.

Chicago/Turabian Style

Afshin Firouzi; Wei Yang; Chun-Qing Li. 2018. "Efficient Solution for Calculation of Upcrossing Rate of Nonstationary Gaussian Process." Journal of Engineering Mechanics 144, no. 4: 04018015.