scholarly journals Industrial Energy Auditing for Increased Sustainability − Methodology and Measurements

10.5772/51717 ◽  
2012 ◽  
Author(s):  
Jakob Rosenqvist ◽  
Patrik Thollander ◽  
Patrik Rohdin ◽  
Mats Sderstrm
Keyword(s):  
Energy Auditing ◽  
Industrial Energy

INDUSTRIAL ENERGY CONSERVATION AND EMISSION REDUCTION TOTAL FACTOR PRODUCTIVITY IN CHINA

2015 ◽  
Vol 14 (8) ◽  
pp. 1837-1848
Author(s):  
Haiying Liu ◽  
Jing Xiu ◽  
Chunhong Zhang ◽  
Xiaoqiang Zang
Keyword(s):  
Energy Conservation ◽  
Total Factor Productivity ◽  
Emission Reduction ◽  
Factor Productivity ◽  
Industrial Energy

SMART NETWORKS FOR DIGITALIZATION OF URBAN ECONOMY WITHIN THE FRAMEWORK OF THE “SMART CITY”

2020 ◽  
Vol 3 (8) ◽  
pp. 21-27
Author(s):  
S. V. PROKOPCHINA ◽  
Keyword(s):  
Energy Consumption ◽  
Internal Energy ◽  
Energy Management ◽  
Energy Security ◽  
Smart City ◽  
Urban Economy ◽  
Training Center ◽  
Energy Audit ◽  
Intelligent Networks ◽  
Industrial Energy

The article deals with methodological and practical issues of building Bayesian intelligent networks (BIS) for digitalization of urban economy based on the principles of the “Smart city” concept. The BIS complex as a whole corresponds to the architecture of urban household management complexes for construction and industrial energy purposes for solving the problems of internal energy audit, accounting for energy consumption, ensuring energy security of enterprises and territories, in Addition, the system can become the basis for the implementation of a training center for energy management and housing.

Experiences with a high-fidelity wireless building energy auditing network

2009 ◽  
Author(s):  
Xiaofan Jiang ◽  
Minh Van Ly ◽  
Jay Taneja ◽  
Prabal Dutta ◽  
David Culler
Keyword(s):  
Building Energy ◽  
High Fidelity ◽  
Energy Auditing

scholarly journals Automated Residential Energy Audits Using a Smart WiFi Thermostat-Enabled Data Mining Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2500
Author(s):  
Abdulrahman Alanezi ◽  
Kevin P. Hallinan ◽  
Kefan Huang
Keyword(s):  
Low Cost ◽  
Model Development ◽  
Cost Savings ◽  
Measured Temperature ◽  
Single Family ◽  
Furnace Efficiency ◽  
Heating And Cooling ◽  
Data Mining Approach ◽  
Energy Auditing ◽  
Energy Audits

Smart WiFi thermostats, when they first reached the market, were touted as a means for achieving substantial heating and cooling energy cost savings. These savings did not materialize until additional features, such as geofencing, were added. Today, average savings from these thermostats of 10–12% in heating and 15% in cooling for a single-family residence have been reported. This research aims to demonstrate additional potential benefit of these thermostats, namely as a potential instrument for conducting virtual energy audits on residences. In this study, archived smart WiFi thermostat measured temperature data in the form of a power spectrum, corresponding historical weather and energy consumption data, building geometry characteristics, and occupancy data were integrated in order to train a machine learning model to predict attic and wall R-Values, furnace efficiency, and air conditioning seasonal energy efficiency ratio (SEER), all of which were known for all residences in this study. The developed model was validated on residences not used for model development. Validation R-squared values of 0.9408, 0.9421, 0.9536, and 0.9053 for predicting attic and wall R-values, furnace efficiency, and AC SEER, respectively, were realized. This research demonstrates promise for low-cost data-based energy auditing of residences reliant upon smart WiFi thermostats.

Low rate energy use for heating and in industrial energy supply systems—Some technical and economical aspects

Energy ◽  
2006 ◽  
Vol 31 (14) ◽  
pp. 2588-2603 ◽  
Author(s):  
S SMOLEN ◽  
M BUDNIKRODZ
Keyword(s):  
Energy Supply ◽  
Energy Use ◽  
Industrial Energy ◽  
Supply Systems ◽  
Energy Supply Systems ◽  
Low Rate

scholarly journals Technological Energy Efficiency Improvements in Cement Industries

2021 ◽  
Vol 13 (7) ◽  
pp. 3810
Author(s):  
Alessandra Cantini ◽  
Leonardo Leoni ◽  
Filippo De Carlo ◽  
Marcello Salvio ◽  
Chiara Martini ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Descriptive Analysis ◽  
Cement Industry ◽  
Cement Plant ◽  
Improve Energy Efficiency ◽  
Energy Needs ◽  
Industrial Energy ◽  
Industrial Energy Consumption ◽  
Alternative Solutions

The cement industry is highly energy-intensive, consuming approximately 7% of global industrial energy consumption each year. Improving production technology is a good strategy to reduce the energy needs of a cement plant. The market offers a wide variety of alternative solutions; besides, the literature already provides reviews of opportunities to improve energy efficiency in a cement plant. However, the technology is constantly developing, so the available alternatives may change within a few years. To keep the knowledge updated, investigating the current attractiveness of each solution is pivotal to analyze real companies. This article aims at describing the recent application in the Italian cement industry and the future perspectives of technologies. A sample of plant was investigated through the analysis of mandatory energy audit considering the type of interventions they have recently implemented, or they intend to implement. The outcome is a descriptive analysis, useful for companies willing to improve their sustainability. Results prove that solutions to reduce the energy consumption of auxiliary systems such as compressors, engines, and pumps are currently the most attractive opportunities. Moreover, the results prove that consulting sector experts enables the collection of updated ideas for improving technologies, thus giving valuable inputs to the scientific research.

Research on Energy Consumption Quota for Public Buildings in Hebei Province

2013 ◽  
Vol 361-363 ◽  
pp. 231-234
Author(s):  
Shi Long Liu ◽  
Yue Qun Xu ◽  
De Sheng Ju
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Linear Regression Method ◽  
Public Buildings ◽  
Public Building ◽  
Multiple Linear Regression Method ◽  
Energy Auditing ◽  
Building Area ◽  
The Government ◽  
Actual Energy Consumption

Based on 107 data of public building energy auditing and energy consumption statistics, using multiple linear regression method, this paper given an equation for calculating energy public building consumption quota. It can get energy consumption quota simply and conveniently. The equation was close to actual energy consumption of public buildings. It consider building area, heating degree day (HDD) and building type. The results can be help the government formulate the energy consumption quota for public buildings.

Sector disaggregation and the effect of structural change on industrial energy consumption

Energy ◽  
1992 ◽  
Vol 17 (7) ◽  
pp. 679-687 ◽  
Author(s):  
B.W. Ang ◽  
X.Q. Liu ◽  
H.L. Ong
Keyword(s):  
Energy Consumption ◽  
Structural Change ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Survey of industrial energy requirements: Findings for the Turkish food industry

Energy ◽  
1987 ◽  
Vol 12 (5) ◽  
pp. 419-421 ◽  
Author(s):  
M Arikol
Keyword(s):  
Food Industry ◽  
Energy Requirements ◽  
Industrial Energy
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