Research on Total-Factor Energy Efficiency in Guizhou Industrial Sectors

2011 ◽  
Author(s):  
Jiang Lanxiang ◽  
Wang Honglei
Keyword(s):  
Energy Efficiency ◽  
Industrial Sectors

Air Quality in Riga and Its Improvement Options

2011 ◽  
Vol 7 (-1) ◽  
pp. 72-78
Author(s):  
Janis Kleperis ◽  
Gunars Bajars ◽  
Ingrida Bremere ◽  
Martins Menniks ◽  
Arturs Viksna ◽  
...  
Keyword(s):  
Air Pollution ◽  
Energy Efficiency ◽  
Particulate Matter ◽  
Air Quality ◽  
European Commission ◽  
Air Pollutants ◽  
Transport Sector ◽  
Industrial Sectors ◽  
Particle Pollution ◽  
The City

Air Quality in Riga and Its Improvement Options Air quality in the city of Riga is evaluated from direct monitoring results and from accounting registered air pollutants in the city. It is concluded that from all air polluting substances listed in the European Commission directives, only nitrogen dioxide NO2 and particulate matter PM10 exceed the limits. In assessing the projected measures to improve air quality in Riga, it can be concluded that the implementation of cleaner fuels and improvements in energy efficiency of household and industrial sectors will decrease particle pollution, but measures in the transport sector will also contribute to reducing air pollution from nitrogen oxides.

On the Design of a Sustainable Production Line: The MetaCAM Tool

2015 ◽  
Author(s):  
Apostolos Fysikopoulos ◽  
Theocharis Alexopoulos ◽  
George Pastras ◽  
Panos Stavropoulos ◽  
Georgios Chryssolouris
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Value Chain ◽  
Production Line ◽  
Optimization Procedure ◽  
Decision Support Tool ◽  
Life Cycles ◽  
Support Tool ◽  
Industrial Sectors

Nowadays, manufacturing enterprises face enormous environmental challenges, due to complex and diverse economic trends, including shorter product life cycles, rapid advances in science and technology, increased diversity in customer demands and globalization of production activities. Consequently, the cost is highly affected by environmentally related factors. Energy efficiency is one of the main factors, which together with waste management, affect manufacturing decisions. The complexity and diversity of the factors that determine energy efficiency require intelligent systems for their optimization at each “manufacturing level”. Manufacturing decisions should be taken as fast as possible and with the highest possible accuracy. Artificial intelligence/machine learning tools have made significant progress during the last decade and are suitable for such applications. The main objective of the current study is that an architecture for the development of a networked, online, decision support tool, be provided towards achieving sustainable value chain management. The main idea behind the proposed design is that stakeholders be assisted in taking decisions towards improving the energy and eco-efficiency of the entire value chain or parts of it. This is suggested within the context of a multi-objective optimization procedure, taking into account other important decision making attributes, such as flexibility, quality and time for the final reduction in the overall cost. This architecture incorporates real time information modules that interact with online monitoring systems, using any available information within the value chain and the existing IT tools. A partial realization of the proposed idea is implemented in the form of a user friendly software tool (the MetaCAM tool). This based, decision support tool aiming to optimize a current production line or to propose alternatives for the manufacturing of a product. The tool performs optimization based on a set of predefined criteria, namely energy, waste, cost and time. For each of these criteria, the end-user selects the desired weight factor in order to drive the optimization procedure accordingly. The tool presents the characteristics of the setup of the proposed optimized line and maintains all used data and calculations in order to be reused when necessary. For the tool’s validation, three real case studies from different industrial sectors have been used. The first case study comes from the domestic appliances sector (refrigerator door panel), the second one from the automotive sector (a two seat bench for light commercial vehicles) and finally, the third case study derives from the aeronautics sector and deals with the production of the loading ramp hinge of a military aircraft.

scholarly journals Validation of An Instrument to Know the Use of Smart Devices in Air Conditioners and Their Improvement in Energy Efficiency: Case Study in Ecuador

2021 ◽  
Vol 17 (04) ◽  
pp. 133
Author(s):  
Jorge Israel Anchundia-Santana ◽  
Julieta Evangelina Sánchez-Cano ◽  
Washington Garcia-Quilachamin ◽  
Evelyn Isabel Santana-Mantuano
Keyword(s):  
Energy Efficiency ◽  
Air Conditioning ◽  
Fossil Fuels ◽  
Online Survey ◽  
Smart Devices ◽  
Air Conditioners ◽  
Industrial Sectors ◽  
The Republic ◽  
Air Conditioning Systems

The constant growth of the world’s population has generated various changes in the use of the diversity of the resources provided to us by the planet. Considering that by properly managing energy in air conditioning systems correctly, it collaborates in the fight against climate change, reducing the excessive use of fossil fuels and, therefore, the emission of CO2 and other greenhouse gases, creating an environment of comfort in industrial sectors, businesses, companies, homes, among others. The objective of this research is to validate the instrument considering the information obtained about smart devices applied in air conditioning systems and their improvement in energy efficiency. The methodology applied consisted of a field study conducted through an online survey that was directed at 226 students and professionals from three provinces of the Republic of Ecuador. To validate the data obtained in the instrument, the exploratory factor analysis was performed also of the principal components in the last phase it was obtained in factor transformation matrix (0.986), which demonstrates the validity of the study. To apply the KMO test and Bartlett’s sphericity, the following ranges (≥0.6) y (<0.05) were considered respectively.

scholarly journals Potential of waste heat in Croatian industrial sector

2012 ◽  
Vol 16 (3) ◽  
pp. 747-758 ◽  
Author(s):  
Davor Biscan ◽  
Veljko Filipan
Keyword(s):  
Energy Efficiency ◽  
Fossil Fuels ◽  
Waste Heat ◽  
Operation Mode ◽  
Industrial Sector ◽  
Main Process ◽  
The European Union ◽  
National Goal ◽  
Industrial Sectors ◽  
Heat Potential

Waste heat recovery in Croatian industry is of the highest significance regarding the national efforts towards energy efficiency improvements and climate protection. By recuperation of heat which would otherwise be wasted, the quantity of fossil fuels used for production of useful energy could be lowered thereby reducing the fuel costs and increasing the competitiveness of examined Croatian industries. Another effect of increased energy efficiency of industrial processes and plants is reduction of greenhouse gases i.e. the second important national goal required by the European Union (EU) and United Nations Framework Convention on Climate Change (UNFCCC). Paper investigates and analyses the waste heat potential in Croatian industrial sector. Firstly, relevant industrial sectors with significant amount of waste heat are determined. Furthermore, significant companies in these sectors are selected with respect to main process characteristics, operation mode and estimated waste heat potential. Data collection of waste heat parameters (temperature, mass flow and composition) is conducted. Current technologies used for waste heat utilization from different waste heat sources are pointed out. Considered facilities are compared with regard to amount of flue gas heat. Mechanisms for more efficient and more economic utilization of waste heat are proposed.

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