scholarly journals Energy Consumption Analysis and Comprehensive Energy Efficiency Evaluation of Campus Central Heating System Based on Heat Supply Monitoring Platform

2021 ◽  
Vol 39 (3) ◽  
pp. 746-754
Author(s):  
Wei Liu

The energy conservation of campus buildings is the most direct and effective means to promote the sustainable development of colleges and universities. Using the heat data collected by heat supply monitoring platform to perform real-time energy consumption analysis and heating energy efficiency evaluation is a prerequisite for realizing automatic heat supply control based on energy conservation and heating demand. This paper studied the energy conservation analysis and comprehensive energy efficiency evaluation of campus central heating system based on the heat supply monitoring platform. At first, the paper elaborated on the energy consumption analysis method of the campus central heating system based on the heat supply monitoring platform; then, it gave the energy balance equation and the exergy balance equation; after that, based on a few parameters such as the EHR (electricity to heat ratio), heating index, and water makeup rate, this paper evaluated the energy efficiency of the campus central heating system, and experimental results verified the effectiveness of the analysis and evaluation methods.

2014 ◽  
Vol 628 ◽  
pp. 225-228
Author(s):  
Xiao Lin Tian ◽  
Shou Gen Hu ◽  
Hong Bo Qin ◽  
Jun Zhao ◽  
Ling Yuan Ran

As the most widely used fourth energy, compressed air system has high operating costs. The research about energy consumption and energy optimization measures of compressed air system has become the new field to achieve energy saving among countries all over the world. In recent years, air compressor system researches in energy consumption, influence factors, energy saving technologies and energy efficiency evaluation have been carried out at home and abroad, and some achievements have been achieved. This paper summarizes energy consumption research status of air compressor system at home and abroad, and energy-saving technologies of compressed air in generation link, treatment link and gas link, and energy efficiency evaluation methods for of air compressor systems. Potentials and drawbacks of current researches are analyzed simultaneously. In the end energy-saving development directions of air compressor system are predicted.


Mechanika ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 171-176
Author(s):  
Wei Ye

According to the energy consumption status of industrial heat exchanger in the whole life cycle, the energy efficiency evaluation index system of industrial heat exchanger is put forward firstly. Secondly, aiming at the complexity and fuzziness of energy consumption of industrial heat exchanger, the energy efficiency evaluation model of industrial heat exchanger based on fuzzy matter-element method is established by using fuzzy matter-element theory and combining the concept of Hemingway schedule. Finally, taking the shell-and-tube heat exchanger as an example, five shell-and-tube heat exchangers with different designs and materials were selected to analyze their energy consumption advantages and disadvantages. Via calculation and analysis, the optimal energy efficiency design of the shell-and-tube heat exchanger was obtained. At the same time, reference opinions were provided for the design and manufacture of the shell-and-tube heat exchanger.


2021 ◽  
Vol 2078 (1) ◽  
pp. 012007
Author(s):  
Shuran Zhai ◽  
Zhaojie Zhang

Abstract With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.


2019 ◽  
Vol 26 (8) ◽  
pp. 1652-1671 ◽  
Author(s):  
Jingxin Gao ◽  
Hong Ren ◽  
Xianrui Ma ◽  
Weiguang Cai ◽  
Qingwei Shi

Purpose As a typical resource energy-intensive industry, the scale of construction industry has been expanding rapidly owing to the large-scale urbanization and the economic booming in China, which results in a sharp increase in the energy consumption of construction industry. However, it is infeasible to mitigate the energy consumption by reducing the production activities of construction industry. Therefore, improving the energy efficiency of construction industry is essential for energy saving. Construction industry has close relationships with other industries. The production activities have not only consumed a great deal of energy but they have also generated a massive energy consumption from other industries. Previous literature studied the efficiency of energy consumed directly by the construction industry. However, no research has been found focusing on the efficiency of energy consumed directly by the construction industry and indirectly by the related industries. The purpose of this paper is to put forward a total energy efficiency evaluation framework to measure the energy efficiency of construction industry in depth. Design/methodology/approach This paper employs the data envelopment analysis (DEA) method and the framework of embodied energy efficiency (EEE) to establish a total energy efficiency evaluation model. Next, the comprehensive analysis of direct energy efficiency (DEE) and EEE in different provinces with various levels of urbanization and various economic levels is conducted. Findings The results show that the embodied energy intensity and its regularities differ greatly between provinces. From the comparison of DEE and EEE, the provinces of Zhejiang and Jiangsu remain DEA-effective and Hainan is the only province in which the EEE is higher than DEE in 2002, 2007 and 2012. Besides, the DEE and EEE in the provinces with higher levels of urbanization and high economic levels are not more effective than those in the provinces with relatively lower levels of urbanization and low economic levels. Originality/value Previous literature studied the efficiency of energy consumed directly by the construction industry while ignoring the energy consumed indirectly by the related industries. Besides, no research has been found focusing on the regulation of energy efficiency in different provinces with different levels of urbanization and different economic levels. It can be concluded that the increasing levels of urbanization and higher economic levels have not brought development and benefits for improving DEE and EEE. Therefore, under the condition that the self-regulation of construction industry and market fail to facilitate the improvement of DEE and EEE in China, policymakers should develop policies and market incentive mechanism to encourage construction industry for employing new technologies to improve the energy efficiency. Since the EEE can reveal the energy efficiency in depth, the evaluation method of EEE should be paid more attention. Besides the fact that the EEE is lower than the DEE in almost all provinces, except Hainan province, the industrial structure is essential to develop the EEE. Hence, improving the energy structure, increasing the energy efficiency and developing new and renewable energy are the basic energy strategies in China.


2017 ◽  
Vol 9 (7) ◽  
pp. 168781401771139 ◽  
Author(s):  
Ying Xie ◽  
Xiufen Ma ◽  
Haifeng Ning ◽  
Zongming Yuan ◽  
Ting Xie

A long-distance natural gas pipeline system consists of considerable equipment and many pipe segments, but the conventional energy efficiency index of a natural gas pipeline is considered as a whole. Because the specific energy consumption of each unit cannot be determined, the index system is not perfect, and evaluating the energy efficiency of a natural gas pipeline system is difficult. The energy efficiency evaluation model for a natural gas pipeline was established using the analytic hierarchy process. A judgment matrix was constructed based on the energy efficiency index system of a long-distance natural gas pipeline, and the weight coefficient was calculated using the characteristic root method. Then, the consistency of the established judgment matrix was verified. The energy efficiency evaluation model successfully quantified the qualitative factors that affect natural gas pipelines. The comprehensive energy efficiency coefficient G of the natural gas pipeline was obtained from the operational data of the natural gas pipeline; then, the equipment or pipe segments with high energy consumption can be identified. The energy efficiency evaluation program of the natural gas pipeline was developed using Visual Basic for Applications, which significantly reduced the evaluation workload. The natural gas pipeline energy efficiency evaluation model is used to evaluate the energy efficiency of a natural gas pipeline, to identify the high energy consumption equipment or pipe segments, and to propose measures to improve the energy efficiency. The results show that the gas pipeline energy efficiency evaluation model and evaluation procedures can identify high energy consumption equipment or pipe sections in complex natural gas pipelines.


Kybernetes ◽  
2016 ◽  
Vol 45 (5) ◽  
pp. 788-797 ◽  
Author(s):  
Yifei Tong ◽  
Ruiwen Zhao ◽  
Wei Ye ◽  
Dongbo Li

Purpose – Crane plays a very important role in national economy with greatly reduced labor intensity, improved production efficiency and promoted social development as an indispensable auxiliary tool and process equipment. Therefore, its energy consumption becomes an unavoidable topic and in fact, energy consumption of crane is very huge. It has been proved to be the most cost-effective way for reducing energy consumption to establish and implement new energy efficiency standard. Thus, it is necessary to analyze and evaluate the energy efficiency for overhead crane so as to propose a new energy efficiency standard. The paper aims to discuss these issues. Design/methodology/approach – In this paper, four kinds of energy consumption sources of overhead crane is considered, based on which, an energy efficiency grading model for overhead crane based on BP neural network is proposed. Second, DS evidential theory is analyzed and based on it, an energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed. The evaluation procedure is discussed in detail. Then, a case is demonstrated how the evaluation is carried out. Findings – If overhead cranes with different energy consumptions need to be graded according to energy efficiency, the criterions to establish the energy efficiency labels for overhead cranes is proposed in this paper. Practical implications – The research results can provide energy efficiency standard proposal of overhead crane for relative departments to monitor the design, manufacturing and use of overhead crane. Originality/value – An energy efficiency grading model for overhead crane based on BP neural network is proposed. An energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed.


Author(s):  
Qinglin Cheng ◽  
Ronghuan Wang ◽  
Wei Sun ◽  
Lan Meng ◽  
Wei Gao ◽  
...  

Abstract The heating furnace is an essential oilfield facility for surface gathering, treatment, and transportation, so the energy consumption level of an oilfield is directly affected by its operational efficiency. In this paper, the thermal efficiency, exhaust gas temperature, external surface temperature, excess air coefficient, and load rate of a heating furnace are taken as energy efficiency evaluation indexes. By improving game theory, the objective and subjective weights are combined to determine the final weights of each index. On this basis, the grey TOPSIS method is used to establish the energy efficiency evaluation model of an oilfield heating furnace, which is to comprehensively evaluate the energy consumption of the heating furnace by calculating the closeness degree between its actual and ideal operational states. Finally, the effectiveness of the energy efficiency evaluation model is verified by taking an actual oilfield as an example, the results show that the weight sequence of the indexes is thermal efficiency, exhaust gas temperature, external surface temperature, load rate, and excess air coefficient. In addition, the relative closeness of the heating furnace is mostly concentrated between 0.5 and 0.7, which shows that the efficiency is low. The weak link of energy consumption is analyzed, and the corresponding improvement measures are put forward.


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