Disaggregate Analysis of the Inter-Building Effect in a Dense Urban Environment

Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II

INTRODUCTION: With the increasing global awareness of sustainable development and environmental protection, green building has become one of the important development directions in the construction industry. The application of sustainable type energy in the construction industry is of great significance in reducing building energy consumption and environmental pollution. This study aims to explore the application of sustainable types of energy and conduct research on energy consumption optimization. OBJECTIVE: The aim of this study is to analyze the current situation of the application of sustainable types of energy in the construction industry, to explore its impact on the energy consumption of buildings, and to propose corresponding optimization strategies in order to achieve the goal of sustainable development of green buildings in China. METHODS: This study adopts a combination of literature review and case study; firstly, a literature review on the application of sustainable types of energy, sorting out its technical characteristics and application effects; then, several typical cases are selected to analyze its energy application and energy consumption in buildings; finally, relevant strategies and suggestions for optimizing the energy consumption are put forward by combining the results of the literature review and the case study. RESULTS: Through the literature review and case analysis, it is found that sustainable types of energy, such as solar energy and wind energy, have been widely used in buildings and achieved certain energy-saving effects. However, there are also some problems, such as inefficient energy utilization and high cost. To address these problems, this study proposes a series of optimization strategies, including suggestions for optimizing energy system design, improving energy utilization efficiency, and reducing energy costs. CONCLUSION: This study concludes that the application of sustainable types of energy in green buildings is an important way to optimize building energy consumption and sustainable development. Through measures such as optimizing energy system design and improving energy utilization efficiency, building energy consumption can be further reduced, environmental pollution can be reduced, and the development of the construction industry can be promoted. However, further research and practice are still needed to continuously improve relevant technologies and policies to promote the application and development of sustainable types of energy in buildings.

Energy consumption and efficiency technology measures in European non-residential buildings

An energy-saving design method for residential building group based on convolutional neural network

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.

Impact of urban wind environment on urban building energy: A review of mechanisms and modeling

The analysis of building abnormal energy consumption is of great significance to the effective energy saving of buildings. To apply the relationship between the running status of building equipment and energy consumption to the diagnosis of abnormal energy consumption, an abnormal diagnosis method of building energy consumption based on the improved Apriori association rules is proposed. An improved Apriori algorithm is proposed for building energy consumption data with a large amount of data and multi-value attributes. The improved Apriori algorithm determines whether different attribute values of the same attribute data are in advance when generating candidate sets, reduces the number of comparisons, and improves the algorithm efficiency. By analyzing the abnormal energy consumption of the chiller in the refrigeration station of a commercial building, the superiority of the improved Apriori algorithm is proved, and the abnormal energy consumption is found, which verifies the feasibility and practicability of the proposed method.

Increase in energy consumption in building is a big concern world over. In Nepal, energy crisis is a big issue but energy demand in buildings is barely even thought about. In the southern part of Nepal, where the weather is mostly hot during the year, cooling in buildings is very important. This is an initial study regarding building design strategies which focuses on cooling energy consumption in the building. It can be seen from the study that simple passive strategies can be applied in building design which can support in decreasing cooling load. Different passive cooling strategies like orientation, building size, thermal mass, window design and two direct cooling strategies have been investigated in this study. Direct cooling strategies like shading and natural cooling helps in passive cooling. Different desing strategies have different impact on the cooling energy requirement and the study shows that thermo physical property of building materials has the maximum effect on the energy consumption of the building. Each design strategy creates and average of 20% decrease in energy consumption, whereas the thermal conductivity can have as much as 10 times more effect on the energy consumption than other design strategies.

Optimizing the dimensional ratio and orientation of residential buildings in the humid temperate climate to reduce energy consumption (Case: Rasht Iran)

As the building sector is a major contributor to global energy consumption and greenhouse gas emissions, there is a growing focus on achieving significant reductions in energy consumption and greenhouse gas emissions in the building sector. Energy consumption in buildings can be classified into embodied energy and operational energy. Studies have indicated that operational energy contributes to 80%–90% of the total life cycle energy in buildings while embodied energy only contributes to 10%–20%. Though several strategies have been implemented to reduce OE, there has not been enough attention on reducing embodied energy in buildings. Therefore, it is vital to conduct a study on reducing embodied energy in buildings. A comprehensive literature review was conducted by referring to books, reports, theses, journals, magazines, and conference proceedings to identify several practices for reducing embodied energy in buildings as well as barriers to moving towards low embodied energy in buildings. In conclusion, the study showed that reducing embodied energy in buildings is an essential step towards achieving significant reductions in energy consumption and greenhouse gas emissions in the building sector, and a concerted effort is needed to overcome the identified barriers and implement the identified practices.

The construction department is an important energy consumption department in the contemporary society. Building energy conservation is an important means to promote the energy transformation and realize the strategic goal of “carbon peak and carbon neutrality”. Accurate building energy consumption prediction is the support technology to build building energy management system to achieve building energy saving. The building energy consumption is not only affected by the building physical structure, the actual function and use mode of the building also determine the actual energy consumption of the building, so the building energy consumption has significant volatility and uncertainty.Based on this paper, we designed a BP neural network for predicting building energy consumption with an mse of 0.0043 on the experimental dataset, and subsequently changed the loss function to a mish function based on the neural network, reducing the mae value to 1.03e-05. It shows that the prediction results of the energy consumption prediction model of BP neural network are slightly biased from the original data, and it performs well in the prediction performance to ensure the accuracy of the prediction.

Energy Conservation Strategy Research for Residential Building Refurbishment in Urban area of China

Nowadays, world energy source has become a lifeline of national economic development and national security. Although China is abundant in energy sources, the per capita are far lower than the world average level, making energy situation serious. Energy consumptions conclude industrial energy consumption , transportation energy consumption and Building energy consumption. With the rapid development of economy in our country, the growth of the building energy consumption has been increasing obviously. Energy tension and the resulting environmental problems are the top issues our country facing with. Now existing building areas are about 42 billion square meters in China, 90% existing buildings of which are built in the last eighty and ninety century. [2] And those old buildings have features of simple retaining structure design, big doors and windows gaps, poor air tightness, residential thermal environment, building insulation and thermal insulation, low level of building energy efficiency, and less energy saving measures as well. Therefore, whether the energy saving renovation of existing residential buildings will be carried out is the determination of whether the high efficient use of resources and energy sources and sustainable development road can move forward. 1.Introduction Chinese existing buildings energy conservation is pushed by the south to north direction. [1] Changchun city of Jilin province is located in the North-East, belongs to cold region. The existing building energy-saving renovation work in Changchun city is an important part of construction energy conservation work in China. Because heating energy consumption accounts for the proportion of building energy consumption is as high as 50% ~ 60% in winter, building energy conservation potential is tremendous.[4] As residents higher requirements for the improvement of indoor thermal environment and relevant policies and regulations on energy conservation, the study of existing residential buildings energy-saving renovation will have practical significance. This paper mainly introduces the design scheme of energy saving conservation of existing residential buildings in Changchun city, and analyzes the effect after energy saving renovation of existing residential building energy-saving buildings. 2. The Design scheme and effect of energy saving transformation The design ways contribute to fulfilling energy conservation for existing residential buildings in Changchun city, as the flow-process diagram A1, such as the existing peripheral residential building insulation, heating pipe network, the indoor heating system, roof structure for energy saving and facade decoration and so on, which can reduce building energy consumption, improve the environment, indoor thermal insulation waterproof effect, beautify the appearance of the building and enhance housing security system. 2nd International Conference on Management Science and Industrial Engineering (MSIE 2013) © 2013. The authors Published by Atlantis Press 647

The effect of neighbourhood-level urban form on residential building energy use: A GIS-based model using building energy benchmarking data in Seattle

Public institution building energy consumption is an important part of building energy consumption in our nation. According to preliminary statistics, the number of public agencies nationwide has reached 1 904 400 during past few years, and its building energy consumption accounts for about 6.19% of the total energy consumption of the whole society, mainly including building envelope energy consumption, energy consumption of HVAC systems and equipment, lighting and office equipment energy consumption. Shenyang region as the main object of study of census, this paper analyzes the status quo of the public institution building energy consumption in northern severe cold region, and explore the way and the basic status of public institutions energy consumption. Besides, according to the relevant regulations and policies, the reasons for current situation of public institution building energy are analyzed. Eventually, the paper makes a few suggestions about severe cold regions of northern China's building energy efficiency of public institutions.