Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm

2017 ◽  
Vol 111 ◽  
pp. 1255-1264 ◽  
Author(s):  
Ming-Der Yang ◽  
Min-Der Lin ◽  
Yu-Hao Lin ◽  
Kang-Ting Tsai
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Optimization Design ◽  
Green Building ◽  
Building Envelope ◽  
Envelope Material

scholarly journals Energy Performance of a High-Rise Residential Building Using Fibre-Reinforced Structural Lightweight Aggregate Concrete

2020 ◽  
Vol 10 (13) ◽  
pp. 4489
Author(s):  
Zakaria Che Muda ◽  
Payam Shafigh ◽  
Norhayati Binti Mahyuddin ◽  
Samad M.E. Sepasgozar ◽  
Salmia Beddu ◽  
...  
Keyword(s):  
Residential Building ◽  
Green Building ◽  
Lightweight Aggregate ◽  
Energy Performance ◽  
Building Envelope ◽  
Lightweight Aggregate Concrete ◽  
Aggregate Concrete ◽  
High Rise ◽  
Passive Design ◽  
Envelope Material

The increasing need for eco-friendly green building and creative passive design technology in response to climatic change and global warming issues will continue. However, the need to preserve and sustain the natural environment is also crucial. A building envelope plays a pivotal role in areas where the greatest heat and energy loss often occur. Investment for the passive design aspect of building envelopes is essential to address CO 2 emission. This research aims to explore the suitability of using integral-monolithic structural insulation fibre-reinforced lightweight aggregate concrete (LWAC) without additional insulation as a building envelope material in a high-rise residential building in the different climatic zones of the world. Polypropylene and steel fibres in different dosages were used in a structural grade expanded clay lightweight aggregate concrete. Physical and thermal properties of fibre reinforced structural LWAC, normal weight concrete (NWC) and bricks were measured in the lab. The Autodesk@Revit-GBS simulation program was implemented to simulate the energy consumption of a 29-storey residential building with shear wall structural system using the proposed fibre-reinforced LWAC materials. Results showed that energy savings between 3.2% and 14.8% were incurred in buildings using the fibre-reinforced LWAC across various climatic regions as compared with traditional NWC and sand-cement brick and clay brick walls. In conclusion, fibre-reinforced LWAC in hot-humid tropical and temperate Mediterranean climates meet the certified Green Building Index (GBI) requirements of less than 150 kW∙h∙m−2. However, in extreme climatic conditions of sub-arctic and hot semi-arid desert climates, a thicker wall or additional insulation is required to meet the certified green building requirements. Hence, the energy-saving measure is influenced largely by the use of fibre-reinforced LWAC as a building envelope material rather than because of building orientation.

scholarly journals Multiobjective optimization design of the solar field and reverse osmosis system with preheating feed water using Genetic algorithm

2018 ◽  
Vol 6 (6) ◽  
pp. 624-642 ◽  
Author(s):  
Iman Ebrahimi Ghoujdi ◽  
Hasti Hadiannasab ◽  
Mokhtar Bidi ◽  
Abbas Naeimi ◽  
Mohammad Hossein Ahmadi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Reverse Osmosis ◽  
Optimization Design ◽  
Feed Water ◽  
Solar Field

scholarly journals Many-Objective Optimization Design of a Public Building for Energy, Daylighting and Cost Performance Improvement

2020 ◽  
Vol 10 (7) ◽  
pp. 2435
Author(s):  
Cheng Sun ◽  
Qianqian Liu ◽  
Yunsong Han
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Design ◽  
Optimization Problems ◽  
Public Library ◽  
Building Design ◽  
Energy Performance ◽  
Building Envelope ◽  
Data Conversion ◽  
Cost Performance ◽  
Public Building

The energy performance of buildings especially public buildings needs to be optimized together with environmental, social and cost performance, which can be achieved by the multiobjective optimization method. The traditional building performance simulation (BPS) based multiobjective optimization is time-consuming and inefficient. Practical projects of complex public building design usually involve many-objective optimization problems in which more than three objectives are considered. Using BPS based multiobjective optimization is not sufficient to solve this kind of design problem. This paper aims to propose an artificial neural network (ANN) based many-objective optimization design method, an architect-friendly integrated workflow has been implemented. The proposed method has been applied on a public library building in Changchun city of China to optimize its Energy Use Intensity (EUI), Spatial Daylight Autonomy (sDA), Useful Daylight Illuminance (UDI) and Building Envelope Cost (BEC). The optimization process has obtained 176 non-dominated solutions. By adopting the selected relative optimal solutions, 1.6×105–2.1×105 kWh energy can be saved per year; sDA value and UDI value can be increased by 8.1%–11.0% and 4.3%–4.7% respectively; BEC can be reduced by ¥1.2×105–2.1×105 ($1.7×104–3.0×104). The optimization time has been greatly shortened in this method and the whole process is highly efficient without manual data conversion between different platforms.

scholarly journals Multiobjective Optimization Design of Spinal Pedicle Screws Using Neural Networks and Genetic Algorithm: Mathematical Models and Mechanical Validation

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yongyut Amaritsakul ◽  
Ching-Kong Chao ◽  
Jinn Lin
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Optimization Design ◽  
Bending Strength ◽  
Three Dimensional ◽  
Pedicle Screws ◽  
Experimental Tests ◽  
Pullout Strength ◽  
Pareto Optima ◽  
Optimization Study

Short-segment instrumentation for spine fractures is threatened byrelatively highfailure rates. Failure of the spinal pedicle screws including breakage and loosening may jeopardize the fixation integrity and lead to treatment failure. Two important design objectives, bending strength and pullout strength, may conflict with each other and warrant a multiobjective optimization study. In the present study using the three-dimensional finite element (FE) analytical results based on an L25orthogonal array, bending and pullout objective functions were developed by an artificial neural network (ANN) algorithm, and the trade-off solutions known as Pareto optima were explored by a genetic algorithm (GA). The results showed that the knee solutions of the Pareto fronts with both high bending and pullout strength ranged from 92% to 94% of their maxima, respectively. In mechanical validation, the results of mathematical analyses were closely related to those of experimental tests with a correlation coefficient of −0.91 for bending and 0.93 for pullout (P<0.01for both). The optimal design had significantly higher fatigue life (P<0.01) and comparable pullout strength as compared with commercial screws. Multiobjective optimization study of spinal pedicle screws using the hybrid of ANN and GA could achieve an ideal with high bending and pullout performances simultaneously.

scholarly journals OPTIMIZATION BUILDING ENCLOSURE REDESIGN TO FULFILL NATURAL LIGHTING INTENSITY STANDARD AND OTTV IN SOUTH QUARTER JAKARTA OFFICE BUILDING BASED ON GREENSHIP CRITERIA

2019 ◽  
Vol 3 (03) ◽  
pp. 258-276
Author(s):  
Naomi Santoso ; Yasmin Suriansyah
Keyword(s):  
Green Building ◽  
Simulation Method ◽  
Building Envelope ◽  
Qualitative Approach ◽  
Color Selection ◽  
Natural Lighting ◽  
Building Enclosure ◽  
Envelope Material ◽  
Lighting Intensity ◽  
Evaluative Research

Abstract- South Quarter is one of the buildings that applies green building principles located in South Jakarta. Based on the Greenship assessment standards, energy saving efforts to decrease OTTV value on some office floors are considered optimal (≤33.25W/m2), but haven’t occupied the natural lighting intensity standard (≤30%). Based on the existing design, there are things which can be optimized such as the color selection of floor, ceiling, and envelope material. The lighting optimization will certainly affect the heat that goes into the building, therefore the effort of optimizing South Quarter office façade design for the fulfillment of natural lighting intensity and OTTV value based on the Greenship criteria is important to do.This research uses descriptive-evaluative research with quantitative-qualitative approach. The evaluative research is done by controlling the building envelope design (simulation method), then observing the effects. These effects are devoted to 2 points, which are natural lighting intensity and OTTV value. The qualitative approach is done by observing the object of study.By replacing glass material, floor material, adding shading elements and light shelf, the optimization of building envelope design has increased the natural lighting intensity by 14.84-30.71% to occupy the Greenship criteria, while maintaining the OTTV standard. Key Words: natural lighting intensity, OTTV value, Greenship, material, shading, light shelf.

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