Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

scholarly journals Electric Power Investment Risk Assessment for Belt and Road Initiative Nations

2018 ◽  
Vol 10 (9) ◽  
pp. 3119 ◽  
Author(s):  
Jiahai Yuan ◽  
Yurong Zeng ◽  
Xiaoxuan Guo ◽  
Yu Ai ◽  
Minpeng Xiong
Keyword(s):  
Electric Power ◽  
Political Risk ◽  
Indicator System ◽  
Investment Risk ◽  
Social Risk ◽  
Investment Efficiency ◽  
Belt And Road Initiative ◽  
Energy Investment ◽  
Chinese Enterprises ◽  
Belt And Road

In recent years, Chinese companies’ investment in overseas electric power has grown rapidly. Chinese enterprises with matured technology and abundant talent in the field of electric power and electric power investment are becoming the focus of Chinese enterprise investment. However, just like any other energy investment, electric power investment has various potential risks, including economic risk, financial risk, social risk, political risk, electric power foreground risk, resource risk, and environmental risk. To specifically measure electric power investment risk, this article proposed a nine-dimensional indicator system for countries along China’s ‘Belt and Road Initiative’. Moreover, a fuzzy integrated evaluation model ground on the entropy weight was established to evaluate the electric power investment risk of 21 countries along China’s Belt and Road Initiative. The result of research shows that electric power foreground and Chinese factors have become the major underlying determinants of electric power investment risk, while coal power economy, renewable power economy, and political risk should also be attached enough attention when making investing decisions. In conclusion, the optimal choices for China’s electricity investment are determined after balancing electric power foreground and basic factors. After analyzing investment risks of various countries, this paper puts forward policy suggestions, which can help Chinese enterprises avoid electric power investment risks and improve investment efficiency.

scholarly journals Research on Multi-dimensional Energy Efficiency Assessment Technology of RIES

2020 ◽  
Vol 218 ◽  
pp. 01046
Author(s):  
Kuihua Wu ◽  
Zhijie Zheng ◽  
Lujie Qi ◽  
Rong Liang ◽  
Bo Yang
Keyword(s):  
Energy Efficiency ◽  
Evaluation System ◽  
Energy System ◽  
Assessment Method ◽  
Economic Benefits ◽  
Evaluation Index System ◽  
Efficiency Evaluation ◽  
Efficiency Assessment ◽  
Integrated Energy System ◽  
Energy Efficiency Evaluation

At present, there is a lack of regional comprehensive energy multi-dimensional evaluation system and calculation of different quality energy in the energy efficiency evaluation of regional integrated energy system. Based on this, this article carries out research on multi-dimensional energy efficiency evaluation index system and evaluation methods. First, this article form quantifiable evaluation indicators from the aspects of energy supply subsystem energy efficiency, energy conversion subsystem energy efficiency, grid energy efficiency, economic benefits and social benefits, and clarify the calculation methods of each evaluation indicator. Then this article calculate the indicator combination weight. Finally, a multi-dimensional energy efficiency assessment method for a regional integrated energy system is proposed, and an example is used to prove the effectiveness of the method.

scholarly journals Model for improvement of overall equipment effectiveness of beerfilling lines

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401878924 ◽  
Author(s):  
Fei He ◽  
Kang Shen ◽  
Lijing Lu ◽  
Yifei Tong
Keyword(s):  
Evaluation System ◽  
Production Management ◽  
Production Capacity ◽  
General System ◽  
Efficiency Evaluation ◽  
Efficiency Loss ◽  
Evaluation Indexes ◽  
Fishbone Diagram ◽  
Filling Machines ◽  
Filling Line

In this article, the efficiency loss of a beer filling line is investigated and modeled to improve its system performance in terms of overall equipment effectiveness and productivity. First, research is aimed at problems related to beer filling line resulting from poor production management where utilization and productivity of filling machines are low. This article derives the overall equipment effectiveness of filling machines and overall throughput effectiveness of the filling line, with the overall throughput effectiveness of general system (OTE(S)) obtained based on these measurements. Based on these metrics, the efficiency evaluation system is established. Next, according to the efficiency evaluation indexes, overall equipment effectiveness, and OTE(S), the overall efficiency of filling machines and filling line are calculated, respectively. From the results, the stenciling machine has the lowest efficiency. However, considering overall throughput effectiveness indexes and production capacity, unit 3 is the bottleneck and limits the entire productivity. Finally, efficiency loss is analyzed based on the overall equipment effectiveness and OTE(S) calculation results. Using a fishbone diagram for analysis, the cause of equipment loss is summarized and countermeasures are offered. Theory of constraint is used to analyze the efficiency loss of the filling line and give suggestions for improvement. This research can help beer enterprises achieve continuous improvement of equipment efficiency and production capacity.

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