scholarly journals Simulation Analysis and Scheme Optimization of Energy Consumption in Public Buildings

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yang Liu ◽  
Shiqing Zou ◽  
Hongyu Chen ◽  
Xianguo Wu ◽  
Wenman Chen

Under the requirement of energy savings and emission reduction in China, building energy consumption, which occupies a rising proportion of the total energy consumption in society, has become the focus of energy conservation research. Public buildings with a high-energy consumption level have become the most important part of energy conservation research. It is of great practical significance and social value to study energy conservation in large public buildings. In this paper, a large office building is taken as an example. First, a simulation model is constructed by using the energy consumption simulation analysis method, and the reliability of the model is verified by a comparison with the actual energy consumption. Second, based on the model, the thermal design parameters of six building envelope structures, including the external wall heat transfer coefficient, are analyzed in the order of energy-saving sensitivity. Based on the results of the sensitivity analysis, suggestions for each factor are presented. Finally, considering the mutual influence of each parameter on the building energy consumption, the orthogonal design method is used to arrange the test, and the optimal scheme combination of the energy-saving effect is analyzed, which can provide decision support for the energy saving of public building envelopes.

2020 ◽  
Vol 38 (5) ◽  
pp. 785-795 ◽  
Author(s):  
Kele Zhang

PurposeWith the problem of environment and energy becoming prominent, energy conservation and emission reduction have received more attention. In the using process, buildings not only have the inherent energy consumption but also have the energy consumption of equipment that is installed for improving the indoor environment. This study aims to investigate how to reduce the energy consumption of buildings through utilizing natural resources.Design/methodology/approachThis paper briefly introduces three objective functions in the building energy-saving model: building energy consumption, natural lighting and natural ventilation. Genetic algorithm was used to optimize the building parameters to achieve energy conservation and comfort improvement. Then a two-story rental building was analyzed.FindingsThe genetic algorithm converged to Pareto optimal solution set after 10,000 times of iterations, which took 61024 s. The lowest energy consumption of the scheme that was selected from the 70 optimal solutions was 5580 W/(m2K), the lighting coefficient was 5.56% and Pressure Difference Pascal Hours (PDPH) was 6453 h; compared with the initial building parameters, the building energy consumption reduced by 3.40%, the lighting coefficient increased by 11.65% and PDPH increased by 9.54%.Originality/valueIn short, the genetic algorithm can effectively optimize the energy-saving parameters of buildings.


2019 ◽  
Vol 136 ◽  
pp. 02036
Author(s):  
Yueheng Tong ◽  
Yang Chen ◽  
Wubing Shao

With the rapid development of social economy, the problem of energy is becoming more and more serious, building energy conservation has become the top priority. Considering the abundant solar energy resources in the Sanjiangyuan area, this paper takes reduce the energy consumption of local residential noumena as the objective, and takes energy consumption of residential system as research target. Taking the modern dwellings in the Sanjiangyuan area as an example, to build a typical model, using the Dest software developed by Tsinghua University to dynamically simulate the load variation of building envelope caused by windows, exterior walls, window wall ratio and roof, and 16 orthogonal test results are simulated. Through the simulation analysis of the upper floors of the building, this study explores the changes in the influence of the form of the envelope structure on the building, then analyse the sensitivity of each factor affecting building energy consumption, and find out the optimal scheme of the envelope in the locality. Finally, this paper suggests that the energy conservation of new residential buildings in Sanjiangyuan area should strengthen the thickness of thermal insulation layer of envelop, open large windows in the south, open small windows in the north, and choose energy saving windows with low heat transfer coefficient to reduce energy consumption and save energy.


2012 ◽  
Vol 598 ◽  
pp. 53-56 ◽  
Author(s):  
Zhong Hua Wang

The world and China's energy situation and the building energy consumption is been summarized and analyzed. On the basis of the characteristics of our climate and building energy consumption, the building energy consumption gap between China and developed countries is contrasted. By contrast, building energy conservation in China is reiterated to be of great significance. Building energy conservation targets and the measures taken in China are concluded and building energy conservation plan in the Twelfth Five-year Plan period is summarized.


2021 ◽  
Vol 11 (2) ◽  
pp. 542
Author(s):  
Jaqueline Litardo ◽  
Massimo Palme ◽  
Rubén Hidalgo-León ◽  
Fernando Amoroso ◽  
Guillermo Soriano

This paper compares the potential for building energy saving of various passive and active strategies and on-site power generation through a grid-connected solar photovoltaic system (SPVS). The case study is a student welfare unit from a university campus located in the tropical climate (Aw) of Guayaquil, Ecuador. The proposed approach aims to identify the most effective energy saving strategy for building retrofit in this climate. For this purpose, we modeled the base line of the building and proposed energy saving scenarios that were evaluated independently. All building simulations were done in OpenStudio-EnergyPlus, while the on-site power generation was carried out using the Homer PRO software. Results indicated that the incorporation of daylighting controls accounted for the highest energy savings of around 20% and 14% in total building energy consumption, and cooling loads, respectively. Also, this strategy provided a reduction of about 35% and 43% in total building energy consumption, and cooling loads, respectively, when combined with triple low-e coating glazing and active measures. On the other hand, the total annual electric energy delivered by the SPVS (output power converter) was 66,590 kWh, from where 48,497 kWh was supplied to the building while the remaining electricity was injected into the grid.


Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.


2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.


2012 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Ling Wang

<p>Based on the national situation and combined with status of building energy consumption, building energy saving development planning is the most effective measure to deal with the building energy consumption problem in China. Given the building energy saving development planning problem, proposals are given in terms of the planning patterns, planning flow and the organization, which would be of practical value to the implementation of building efficiency planning in China at current stage.</p>


2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.


Sign in / Sign up

Export Citation Format

Share Document