Study and Determination of Evaluating Indicator of Public Building Energy Consumption in Hot Summer and Warm Winter Area

2013 ◽  
Vol 838-841 ◽  
pp. 1953-1958
Author(s):  
Hai Li Sun ◽  
Zhi Chao Wang ◽  
Jun Jun Lu

Determination of buildingenergy consumption index is important for building energy saving.This paper simulits energy consumption of fifty public building(incluiding 15 non - government office buildings, 11 government officebuildings, 12 shopping malls, 12 hotel buildings) after abandoning theunreasonable design and operation factors. We can obtain the building total energy consumption index andpartial energy consumption index.Then all types of building energy consumptiondata are processed with the method of mathematical statistics.We can get fourtypes of biuding energy consumption index and partial energy consumptionindex.This study can provide the basis for energy-saving operation andenergy-saving reformation.

2013 ◽  
Vol 291-294 ◽  
pp. 1072-1076
Author(s):  
Ming Zhi Feng ◽  
Bai Yang Jin

As the shortage of global energy is increasing and the building energy consumption in the proportion of total energy consumption is rising, the reconstruction of energy saving for existing buildings gets more and more attention. Through the research on the situation of southward balcony in the heating area and analyzing the disadvantages of the current situation, the author puts forward a preliminary idea of energy-saving for southward balcony. The purpose of the idea is to reduce the energy loss and increase the efficiency in the use of solar energy.


2014 ◽  
Vol 587-589 ◽  
pp. 397-400
Author(s):  
Jie Zhang ◽  
Xiao Dong Qin

Energy-saving work has made great achievements in our country, the index of heat loss of building of per building area in new residential buildings fell sharply, but total energy consumption and the proportion of it in social total energy consumption is rising. A large number of coal, oil, gas and other fossil energy use, caused the climate warming and so on the adverse effects on the human survival environment, these phenomena, warns us to further strengthen the importance of building energy-saving work.


2018 ◽  
Vol 5 (2) ◽  
pp. 91-101
Author(s):  
Roziah Zailan ◽  
Mohd Tarmizy Che Kar

The energy audit program was carried out for Faculty of Engineering Technology (FTK), University Malaysia Pahang by internal energy audit team. This paper presented annual energy consumption trend for FTK building, measurement finding for room data survey (air conditioning temperature and humidity comfort performance & CO2 level for air quality) and lighting, Building Energy Index (BEI) value and appropriate recommendation in regards of energy saving practice and technological solution. According to those analysis, value for Building Energy Index (BEI) in FTK building is 98.035 kWh/m2/year, Air Conditioning Energy Index (ACEI) is 73.254 kWh/m2/year while for Lighting Energy Index (LEI) is 11.402 kWh/m2/year. Total energy consumption estimated for 2017 is 31, 7951.375 kWh per year. The implementation of the proposed energy conservation measures were expected to give positive results where the total cost saving per year is estimated about RM 48,551.20. Finally, it was recommended to implement three major energy conservation measures (ECMs) in specific: implementation of Sustainable energy management system (SEMS), maintenance of air conditioning system and retrofitting of LED lighting. As a result, FTK is targeted to achieve 30% annual energy saving about from the total energy consumption.


2021 ◽  
Author(s):  
Md. Ziaur Rahman

The objective of this project is to determine the total annual energy summary in terms of cost and Greenhouse Gas (GHG) emission of 16 buildings at Ryerson University (RU). In addition, the Deep Lake Water Cooling (DLWC) feasibility analysis of RU is another objective of this project in terms of total energy consumption and amount of gas emission reduction. The total audit area of RU was 86% of the total campus area. Building energy simulation program, Carrier HAP (Hourly Analysis Program), has been used to make an integrated evaluation of building energy consumption. An energy simulation involves hour-by-hour calculations for all 8,760 hours in a year. In this project, an energy audit was conducted for the 16 existing buildings to establish the base case model, "Ryerson University", to determine its annual energy consumption across all usage. There are two sources of energy used at RU. Electricity uses for lighting, plug load, miscellaneous and cooling, and remote steam is used for cooling and heating. For the base case model, total energy consumption was 251 TJ. To reduce the total energy consumption of the base case model, HVAC systems were investigated to analyze their energy-based performance and impact on the GHG emission. There is no Heat Recovery Ventilation (HRV) system coming from the investigation of HVAC system. The sensitivity analysis was conducted using HRV system with air system. By using HRV system with air system, total of 5.6% energy would be saved for cooling and 76% energy would be saved for heating of RU. The energy intensity was determined to be 1.04 GJ/m² only for 16 buildings of RU and comparatively it is lower than other universities in Canada which have a range of 1.64 GJ/m² to 2.26 GJ/m². In the DLWC system, cool lake water at 4°C was used for building air conditioning. To reduce the cooling energy costs, DLWC system was considered as an alternative chilled water source. The Rogers Business Building (RBB) already has DLWC system. For DLWC system, chilled water was served by Enwave to the RBB. According to base case analysis of the RBB with conventional chillers, the electricity consumption was 924594 kWh for RBB due to chillers. With the implementation of DLWC system for the rest of the 15 buildings, total energy saving due to cooling would be 89.2% and GHG emission reduction would be 89% for CO₂, 70% for NOx and 70.4% for SOx due to elimination of chillers.


2020 ◽  
Vol 2020 ◽  
pp. 1-22 ◽  
Author(s):  
Wenxin Li ◽  
Qiyuan Peng ◽  
Chao Wen ◽  
Shengdong Li ◽  
Xu Yan ◽  
...  

Optimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transport services is met and the quality of services in the urban rail transit system is maintained. This study proposes a multi-objective optimization model for urban railways with timetable optimization to minimize the total energy consumption of trains while maximizing the quality of service. To this end, we apply the principles and ideas of calculus to reduce the power of the velocity in the train energy consumption model. This greatly simplifies the complexity of the optimization model. Then, considering the conflicting requirements of decision-makers, weight factors are added to the objective functions to reflect decision-makers’ preferences for energy-saving and the quality of service. We adopt the nondominated sorting genetic algorithm-II (NSGA-II) to solve the proposed model. A practical case study of the Yizhuang urban railway line in Beijing is conducted to verify the effectiveness of the proposed model and evaluate the advantages of the optimal energy saving timetable (OEST) in comparison to the optimal quality of service timetable (OQOST). The results showed that the OEST reduced total energy consumption by 8.72% but increased the deviation of trains running time in one circle by 728 s. The total energy consumption was reduced by 6.09%, but there was no increase in the deviation of train running time in one circle with the OQOST.


2012 ◽  
Vol 193-194 ◽  
pp. 21-25
Author(s):  
Min Chen ◽  
Min Jie Pang ◽  
Hong Guang Fang

Firstly, this paper introduced several kinds of frequently-used thermal insulation system, which included exterior wall insulation system, doors and windows insulation system and roof insulation system. Secondly, the principle and method of the consumption simulation of the public buildings are expatiated on, including software simulation principle, design process and the setting of related parameters. Thirdly, taking a public building in Nantong, Jiangsu province as an example, the operating energy consumption of different energy-saving design schemes are simulated with the Tangent Building Energy-saving Computation (TBEC) software, and the energy saving design schemes of the public building are optimized in the view of minimizing the energy consumption. At last some references of public building energy saving design are provided.


Transport ◽  
2006 ◽  
Vol 21 (2) ◽  
pp. 123-130 ◽  
Author(s):  
Jonas Jonaitis

It is possible to select train‐car draft mass and traction vehicle parameters for technical speed νt along segment sk in such a way that unitary total energy consumption related to train‐car mass would be the lowest. Such running is called extreme running while traction vehicle parameters and train‐car mass are called optimal from the point of view of energy consumption. The optimization of traction vehicle parameters is possible if a mathematical traction vehicle model is added to the running program and then vehicle parameters are made variable and added to motion parameters as subsequent decision variables within train running program. Together with the train motion parameters optimization traction vehicle parameters should be optimized according to the criterion of unitary total energy consumption related to train‐car mass. Traction vehicle optimal parameters depend on train technical speed, length and profile of segment , as well as, on train‐car mass.


2011 ◽  
Vol 201-203 ◽  
pp. 2466-2469 ◽  
Author(s):  
Ying Xie

Building energy consumption is a vital part of the total energy consumption in China, it is meaningful to predict the building energy consumption exactly as it is useful in the effective implementation of energy policies and is propitious for further expansion of the housing industry. In this paper, based on the factor analysis theory to reduce the dimension of the building energy consumption index, hybrid models of BP neural network and Least Squares Support Vector Machines are constructed respectively to predict the building energy consumption. Relevant data is collected from National Bureau of Statistics of China (1981~2009). Data analysis shows the proposed models, especially based on LS-SVMs, have more steady performance and higher accuracy.


2011 ◽  
Vol 356-360 ◽  
pp. 2459-2464
Author(s):  
Bing Liu ◽  
Zhi Liang Zhang

Building engineering in China is divided into civil building and industry building. Civil building engineering includes residential building and public building. There are many types of public building: shopping malls, office buildings, hotels and so on. In this thesis, architecture test and investigation are processed for the large public building such as hotel type, which focus on its characteristic features of energy consumption. Then energy conservation schemes are propounded and applied in real buildings.


Sign in / Sign up

Export Citation Format

Share Document