scholarly journals Energy audit and conservation potential analysis of a large comprehensive commercial building

2018 ◽  
Vol 22 (Suppl. 2) ◽  
pp. 567-576
Author(s):  
Chunzhi Zhang ◽  
Nianxia Yuan ◽  
Qianjun Mao
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Large Scale ◽  
Rapid Development ◽  
Recovery Period ◽  
Commercial Building ◽  
Energy Saving Potential ◽  
Consumption Data ◽  
Actual Energy Consumption

With the rapid development of large-scale public buildings, energy consumption has increased, of which the energy consumption of comprehensive commercial buildings can reach 10~20 times the common building energy consumption, and has great energy saving potential. In this paper, a large comprehensive commercial building in Chengdu is taken as an example to analyze the energy consumption through the actual energy consumption data, viewed from the energy-saving and emission-reduction and static investment payback period point. The results show that the energy saving rate of the building can be achieved by 32.64%, the emission reduction is 6196.52 t CO2 per year, and the investment recovery period is only about 0.90 years, which provides a reference for similar buildings.

The Research on the Potential of Energy Saving and Emission Reduction in Hospitality

2013 ◽  
Vol 448-453 ◽  
pp. 4365-4368 ◽  
Author(s):  
Qi Huang ◽  
Jian Cheng Kang ◽  
Chen Hao Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Future Study ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Hospitality Industry ◽  
Conversion Factor ◽  
Eastern China ◽  
Factor Matrix ◽  
Consumption Data

Hospitality industry in China has undergone a breath-taking development in recent years. However, it is burdened both by tremendous energy consumption and the responsibility of environmental protection. The paper is trying to find out the potential in the energy saving and emission reduction. Energy consumption data, in the recent five years, are collected from more than 20 hotels in Shanghai and other eastern China regions. Through the energy conversion factor matrix, these energy consumption factors can be converted into Tce value. Though the analysis of the Tce value, the paper provides a key solution to the problem at hand and possible ways of realizing the goal of establishing basis of carbon emission assessment modeling and cumulative comprehensive energy consumption database suitable for this industry, in the hope of establishing a foundation for future study of carbon footprint of the hospitality industry and its technical proposal for energy saving.

scholarly journals Research on Energy Management of Hybrid Unmanned Aerial Vehicles to Improve Energy-Saving and Emission Reduction Performance

2020 ◽  
Vol 17 (8) ◽  
pp. 2917 ◽  
Author(s):  
Mingliang Bai ◽  
Wenjiang Yang ◽  
Dongbin Song ◽  
Marek Kosuda ◽  
Stanislav Szabo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Fuel Consumption ◽  
Energy Management ◽  
Emission Reduction ◽  
Negative Impact ◽  
Rapid Development ◽  
Energy Conversion Efficiency ◽  
Pollutant Emissions ◽  
The Sustainable Development

The rapid development of industry results in large energy consumption and a negative impact on the environment. Pollution of the environment caused by conventional energy sources such as petrol leads to increased demand for propulsion systems with higher efficiency and capable of energy-saving and emission reduction. The usage of hybrid technology is expected to improve energy conversion efficiency, reduce energy consumption and environmental pollution. In this paper, the simulation platform for the hybrid unmanned aerial vehicle (UAV) has been built by establishing the subsystem models of the UAV power system. Under the two chosen working conditions, the conventional cruise flight mission and the terrain tracking mission, the power tracking control and Q-Learning method have been used to design the energy management controller for the hybrid UAV. The fuel consumption and pollutant emissions under each working condition were calculated. The results show that the hybrid system can improve the efficiency of the UAV system, reduce the fuel consumption of the UAV, and so reduce the emissions of CO2, NOx, and other pollutants. This contributes to improving of environmental quality, energy-saving, and emission reduction, thereby contributing to the sustainable development of aviation.

The Researches on the Current Energy Consumption and Energy-Saving Potential of Beijing Subway

2014 ◽  
Vol 505-506 ◽  
pp. 867-870
Author(s):  
Yun Mo Wang ◽  
Song Pan ◽  
Jin Shun Wu ◽  
Chuan Qi Xu ◽  
Li Fan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Mass Transit ◽  
The Sustainable Development ◽  
Energy Saving Potential ◽  
Strategic Approach ◽  
Consumption Data ◽  
Urban Mass Transit ◽  
Beijing Subway

Energy conservation is a long-term strategic approach of economic development. Subway is a most important way of urban mass transit, the energy consumption of subway accounted for a large part in mass transit. Therefore, retrofitting the subway for energy saving is close to the current policy, it can relieve the energy pressure, so it plays an important role on the sustainable development of economy. This paper conducted a survey of Beijing subway energy consumption, and summed up annual energy consumption data of the Beijing subway lines. Based on this research, this paper shows the energy-saving potential of the Beijing subway. Also it lays the foundation of energy saving transformation for subway.

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

Research on Energy-Saving Algorithms with Migration Energy Consumption in Heterogeneous Cloud Environment

2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Migration Energy ◽  
Live Migration ◽  
Large Scale Data ◽  
Heterogeneous Cloud

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).

Advantages and Basic Areas of Application of Solar Concentrating Modules With Louvered Heliostats

2021 ◽  
pp. 152-181
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Energy Saving ◽  
Large Scale ◽  
Tall Buildings ◽  
Effective Energy ◽  
Building Projects ◽  
High Rise ◽  
Low Concentrations ◽  
Reducing Energy

In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also, important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.

scholarly journals Lessons learned from recommissioning a public office building

2018 ◽  
Vol 175 ◽  
pp. 04029
Author(s):  
Yuyang Miao ◽  
Chenggang Liu ◽  
Xinjiang Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Water System ◽  
Lessons Learned ◽  
Hot Water ◽  
Office Building ◽  
Hvac System ◽  
Public Office ◽  
Control Scheme ◽  
Actual Energy Consumption

Energy consumption of HVAC system play a big role on the whole building energy usage. Recommissioning on HVAC system can improve build comfort and its performance. Taking the recommissioning of public office as an example, the issue of the energy consumption of HVAC system was found, control scheme of chilled and hot water system and AHUs was optimized, the new energy saving control scheme was determined, and the actual energy consumption was analysed. The result show that recommissioning for the public office building achieved obviously effect, and the rate of energy saving is 18%, 33% and 10% for chilled water, hot water and electricity, respectively.

Analysis of Electric Energy Consumption Patterns: A Case Study of a Real Life Office Building

2013 ◽  
Vol 330 ◽  
pp. 158-162 ◽  
Author(s):  
Jin Soo Han ◽  
Youn Kwae Jeong ◽  
Il Woo Lee
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Real Life ◽  
Electric Energy ◽  
Consumption Patterns ◽  
Office Building ◽  
Commercial Building ◽  
Total Energy Consumption ◽  
Electric Energy Consumption ◽  
Energy Consumption Patterns

Electric energy consumption shares a great portion of commercial building energy. Electric energy saving is essential to reduce total energy consumption in commercial buildings. To draw energy saving methods, it is necessary to monitor real energy consumption patterns and analyze the results. We monitor the lighting and non-lighting energy consumption of eleven zones in a real working office building every fifteen minutes during eleven months. We observe and analyze the monthly and daily energy consumption patterns of all zones and draw several feasible energy saving methods. Moreover, the lighting and occupancy are monitored simultaneously in detail to investigate the unnecessary energy consumption. It shows the possibility of a great amount of energy saving. Because we analyze the energy consumption patterns in all zones, the drawn energy saving methods are applicable to the current building with some added infrastructure and expandable to other similar office buildings. Our result is expected to contribute to reducing the energy consumption in buildings.

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