Energy performance certification in mechanical manufacturing industry: A review and analysis

Abstract

Tab.1 A selected summary of existing energy performance certification studies in various energy-intensive industries from literature Type Industry Research method Specific research object Sources Direct correlation with energy performance certification Building industry Strategic energy review Framework of building energy certification Pe rez-Lombard [64] Comparative analysis Energy certification of buildings Andaloro [65] Embodied energy calculations and live cycle analysis Building energy regulation and certification in Europe Casals [66] Means of Artificial Neural Networks Tool for checking energy performance and certification Buratti [67] Comparative analysis Building energy efficiency certification system Park [68] Geostatistical approach and data-mining technique Energy performance certificates for existing buildings Koo [58] Indirect correlation with energy performance certification Bio-chemical industry Analysis of criteria and indicators Certification on sustainable biomass trade Lewandowski [69] Petrochemical industry Strategic energy review Energy benchmarking of petrochemical application Rikhtegar [70] Mathematical modelling Performance rating system Rahdari [71] Analysis and review oil shale energy rating Koitmets [72] Steel and cement industry Analysis Integrated benchmarking and energy savings tool Worrell [73] -Energy benchmarking of cement grinding Zeng [74] Coal mine industry Experimental analysis Classification and labelling Skeaff [75] Mathematical modeling Energy efficiency benchmarking system Wang [76] Paper industry Analysis Benchmarking energy use on process unit level Laurijssen [77] Environmental protection industry Life cycle assessment Energy and environmental rating of advanced glazing Papaefthimiou [78] Statistical analysis Energy benchmarking of WWTPs Krampe [79] Agricultural and food industry Statistical analysis Certification of food products Ortega [80] Analysis and field survey Energy utilization of main crop straw resource Ming [81] Manufacturing industry Analysis and review Energy training and certification Glatt [82] Analysis and review Energy labeling for electric fans Mahlia [83] Analysis and modeling Energy benchmarking rules in machining systems Cai [84] Modeling and Statistical analysis Dynamic energy benchmark for mass production Cai [85] Others System modelling Industrial energy benchmarking Ke [86] Comparison of methods and approach Energy rating of PV modules Kenny [87] Statistical analysis China energy label. Zhou [88]

A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control

“…Although the second-order process achieves better fitting accuracy than the first-order process, there are few differences. The wind turbine power-tracking model can be expressed as shown in Figure 1, in which G(s) is the dynamic model, as indicated in Equations (1) and (2). The programmable logic controller in the figure is the wind turbine's main control system, which includes blade pitch, generator torque, and yaw control strategies.…”

“…Energy plays an important role in the development of modern industry, and several renewable energies are gradually increasing their proportion of energy production. Among the types of renewable energies, wind energy has developed rapidly as a result of its environmentally friendly features [1,2]. In the process of wind energy use, the wind turbine is the key component in wind energy absorption and transformation.…”

A Novel Method of Sustainability Evaluation in Machining Processes

“…Manufacturing industry, as an important part of the national industry, consumes a large portion of energy in the total energy consumption [1], and also results in serious environmental pollution in the transformation process from manufacturing resources to products [2]. The investigation shows that energy consumption of the United States is the largest, and energy consumption of its manufacturing industry accounts for about 20% of the total, S. Korea accounts for about 55% [3]. In China, energy consumption of the manufacturing industry occupies about 70% of the total [4].…”

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

“…Greinacher S. et al [19] focused on the identification of a cost-optimized combination of lean and green strategies with regard to green targets. Cai et al [20] measured the eco-environment loss caused by industrial solid waste. Researchers have studied the model of green CNC machining.…”