Study on non-linear planning model of green building energy consumption under multi-objective optimization

2021 ◽  
Author(s):  
Miao Fan ◽  
Danna Su ◽  
Mohammed Wasim Bhatt ◽  
Adarsh Mangal
Keyword(s):  
Energy Consumption ◽  
Green Building ◽  
Building Energy ◽  
Planning Model ◽  
Building Energy Consumption ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Non Linear

scholarly journals The Optimization of Building Energy Consumption in Universitas Negeri Padang Using Building Energy Simulation Program

Teknomekanik ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 30-35
Author(s):  
Andre Kurniawan ◽  
Nanang Qosim ◽  
Remon Lapisa ◽  
Zainal Abadi ◽  
Jasman Jasman
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Green Building ◽  
Energy System ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
System A ◽  
Better Than

Energy consumption of a building is one of the biggest sources of energy use today. Green Building Comitte Indonesia (GBCI) has launched a concept of energy consumption saving in a nationally standard building. Audit Building energy audit is the way to know how actual building energy consumption is and find alternative solution to decrease energy consumption in order to fulfill the energy saving building criteria. Two types of HVAC systems will be run in the EnergyPlus simulation, split AC and central AC. The previous research proved that central AC is better than split AC system for energy saving in the building with 20 floors. The simulation results show that by using a certain energy system, a more efficient energy system will be achieved and can still maintain the comfort of the room at a temperature of 24 °C and relative humidity according to the Green Building Indonesia standard reference.

scholarly journals Using Building Information & Energy Modelling for Energy Efficient Designs

2021 ◽  
Vol 26 ◽  
pp. 427-440
Author(s):  
Mohamed K. Watfa ◽  
Amal E. Hawash ◽  
Kamal Jaafar
Keyword(s):  
Energy Consumption ◽  
Construction Industry ◽  
Energy Use ◽  
Orientation Angle ◽  
Green Building ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Building Orientation ◽  
Building Information

The construction industry has a huge impact on the environment in terms of noise, water and land pollution, traffic congestion and waste disposal. Another aspect of the construction industry impact on the environment is the increasing energy consumption. According to published research, buildings energy use is expected to increase by 32% by the year 2040. As a result, efforts have been directed toward improving green building awareness and the application of sustainability concepts in the design, construction and building management processes. In this research, using extensive simulations, the integration between Building Information Modeling methodology (BIM) and Building Energy Modeling (BEM) methodologies in order to effectively minimize the overall energy consumption of a residential building in the UAE is investigated by studying several design factors including: building orientation and windows type, size and distribution on the overall building energy consumption. Results show that to increase the modelled building’s energy and financial efficiency, recommended changes to the initial design have to be done including changing the distribution of the southern façade and the type of windows glazing used. More specifically, there was a peak energy reduction of: 8% with a 180 degrees building orientation angle, 2% with a window to wall ratio of 15%, and 2% when double glazing windows were used. This work validates that the combination of BIM and BEM allows to enhance the overall building energy consumption efficiency and to further establish the needed sustainability goals through a generated 3D model.

The Urgency of Green Building’s Development from the Angle of Building Energy Consumption in China

2014 ◽  
Vol 953-954 ◽  
pp. 1561-1565
Author(s):  
Dao Kai Wu ◽  
Yu Hong Zhao ◽  
Xu Ji
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Green Building ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Efficient Performance ◽  
Urgent Task ◽  
Energy Consumption Model ◽  
Consumption Model

Based on a building energy-consumption model, the building energy consumption from 2002 to 2011 in China was figured out. Analysis on building energy consumption trends showed that the building energy consumption would increase inevitably and drastically. Meanwhile, the analysis on green building presented its well energy-efficient performance. The results indicate that green building’s development is an urgent task in China.

Study on the Problems and Solutions of Building Energy Efficiency

2014 ◽  
Vol 525 ◽  
pp. 439-442
Author(s):  
Ling Jiao
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Evaluation System ◽  
Green Building ◽  
Building Energy ◽  
Green Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption

With the development of economy, the progress of the times, the city continued to expand the scale of construction, building energy consumption is more and more serious, and the green energy-saving buildings are paid more and more attention in society. Building energy efficiency can fundamentally promote the savings and the rational use of energy and resources, Building energy efficiency is the needs to guarantee the sustainable development of national economy. With problems in building energy efficiency as the point of penetration, this paper analyses the present situations of building energy consumption and the major energy-saving issues in China. On the basis, in order to promote the green building of sustainable development, from thinking, evaluation system, design and other aspects some suggestions and measures are proposed .

Design of Green Building Energy Consumption Data Acquisition System Based on Biological Nano Sensors

2020 ◽  
Vol 12 (2) ◽  
pp. 184-195
Author(s):  
Chuan Wang ◽  
Lei Shi ◽  
Junying Guo ◽  
Sufang Liu
Keyword(s):  
Energy Consumption ◽  
Data Acquisition ◽  
Green Building ◽  
Data Acquisition System ◽  
Building Energy ◽  
Acquisition System ◽  
Building Energy Consumption ◽  
Data Collector ◽  
Consumption Data ◽  
Nano Sensors

The traditional energy consumption data acquisition system for green building has low accuracy. Based on biological nano-sensors, the energy consumption data acquisition system for green building is optimized. The original chip of the data acquisition sensor of AD9280 chip is adopted, the sampling circuit of energy data is designed according to the construction of attenuation circuit, and the rs-485 communication interface electricity meter is connected with the data collector reflecting the building energy consumption to complete the system hardware design. The function of the data collector was analyzed and the collection program was designed. The energy consumption data analysis method was designed after the serial port code was converted to complete the software design of the energy consumption data collection system for green buildings. It is found that the designed system solves the problem of "data missing zero" and can effectively eliminate the fault of communication lines. Moreover, when the data volume is 800 bits, the time of the energy consumption data acquisition system is only 2.5 s, which is significantly lower than the other two collection methods, and the collection efficiency is high.

Methodology for Preliminary Design of Buildings Using Multi-Objective Optimization Based on Performance Simulation

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Bruno Ramos Zemero ◽  
Maria Emília de Lima Tostes ◽  
Ubiratan Holanda Bezerra ◽  
Vitor dos Santos Batista ◽  
Carminda Célia M. M. Carvalho
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimization Model ◽  
Building Design ◽  
Building Energy ◽  
Design Guidelines ◽  
Building Envelope ◽  
Design Stage ◽  
Multi Objective Optimization ◽  
Multi Objective

Buildings' energy consumption has a great energetic and environmental impact worldwide. The architectural design has great potential to solve this problem because the building envelope exerts influence on the overall system performance, but this is a task that involves many objectives and constraints. In the last two decades, optimization studies applied to energy efficiency of buildings have helped specialists to choose the best design options. However, there is still a lack of optimization approaches applied to the design stage, which is the most influential stage for building energy efficiency over its entire life cycle. Therefore, this article presents a multi-objective optimization model to assist designers in the schematic building design, by means of the Pareto archived evolutionary strategies (PAES) algorithm with the EnergyPlus simulator coupled to evaluate the solutions. The search process is executed by a binary array where the array components evolve over the generations, together with the other building components. The methodology aims to find optimal solutions (OSs) with the lowest constructive cost associated with greater energy efficiency. In the case study, it was possible to simulate the process of using the optimization model and analyze the results in relation to: a standard building; energy consumption classification levels; passive design guidelines; usability and accuracy, proving that the tool serves as support in building design. The OSs reached an average of 50% energy savings over typical consumption, 50% reduction in CO2 operating emissions, and investment return less than 3 years in the four different weathers.

scholarly journals Simulation Based Energy Control and Comfort Management in Buildings Using Multi-Objective Optimization Routine

2020 ◽  
Vol 5 (6) ◽  
pp. 1324-1332
Author(s):  
V. S. K. V. Harish ◽  
Arun Kumar
Keyword(s):  
Energy Consumption ◽  
Hybrid Genetic Algorithm ◽  
Building Energy ◽  
Comfort Level ◽  
Large Set ◽  
Multi Objective Optimization ◽  
Energy Control ◽  
Multi Objective ◽  
Automation Systems ◽  
Optimization Routine

Building energy management systems with high-level of sophistication have to control and manage a large set of actuators and other equipment and evaluate performance of each and every-subsystem on periodic basis. In the present study, a control algorithm has been developed as an engineered solution for intelligent energy control and comfort management in buildings. A hybrid genetic algorithm - particle swarm optimization based multi-objective optimization routine is developed to compute the optimal set-point level of heating, ventilation, and air conditioning and lighting systems with a view to balancing energy consumption and occupants' comfort. Occupants' comfort is evaluated for indoor air quality as CO2 concentration, thermal and visual comfort. Case studies with a different set of optimal parameters have been worked out to calculate the amount of energy consumed as well as comfort level achieved. Overall occupants' comfort was improved by 17% and daily, weekly and monthly building energy consumption was reduced by 2.5%, 7.7%, and 17.9%, respectively. The developed intelligent control strategy can be integrated with building automation systems to achieve finely tuned real-time optimized comfort management

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