Classification of factors affecting energy efficiency measures

2017 ◽  
Vol 6 ◽  
pp. 13-18
Author(s):  
Alexandr Mogilenko
Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5116 ◽  
Author(s):  
Andrea Trianni ◽  
Davide Accordini ◽  
Enrico Cagno

Understanding the factors driving the implementation of energy efficiency measures in compressed air systems is crucial to improve industrial energy efficiency, given their low implementation rate. Starting from a thorough review of the literature, it is thus clear the need to support companies in the decision-making process by offering an innovative framework encompassing the most relevant factors to be considered when adopting energy efficiency measures in compressed air systems, inclusive of the impacts on the production resources and the operations of a company. The framework, designed following the perspective of the industrial decision-makers, has been validated, both theoretically and empirically, and preliminarily applied to a heterogeneous cluster of manufacturing industries. Results show that, beside operational, energetic, and economic factors, in particular contextual factors such as complexity, compatibility, and observability may highlight critical features of energy efficiency measures whose absence may change the outcome of a decision-making process. Further, greater awareness and knowledge over the important factors given by the implementation of the framework could play an important role in fostering the implementation of energy efficiency measures in compressed air systems. The paper concludes with further research avenues to further promote energy efficiency and sustainability oriented practices in the industrial sector.


2019 ◽  
Vol 109 (09) ◽  
pp. 688-693
Author(s):  
C. Dierolf ◽  
E. Köse ◽  
S. Kölle ◽  
P. Schwanzer ◽  
A. Sauer

Der Beitrag stellt eine neue Bewertungsmethode zur Priorisierung rationeller Energieeffizienzmaßnahmen in der Galvanik vor. Ziel ist eine optimale Einführung und Steuerung von Energieeffizienzmaßnahmen. Nach der Einordnung von Energiebedarfen in der Galvanik werden allgemeine Methoden zur Identifikation von Energieeffizienzpotenzialen beschrieben. Darauf basierend wird eine neue Bewertungsmethode präsentiert, gefolgt von der Quantifizierung ausgewählter Energieeffizienzmaßnahmen.   This paper presents a new method of evaluation for prioritizing rational energy efficiency measures in electroplating. The aim is to optimally introduce and control energy efficiency measures. After the classification of energy requirements in electroplating, general methods for the identification of energy efficiency potentials are described. Based on this, a new evaluation method was developed, followed by the quantification of selected energy efficiency measures.


2014 ◽  
Vol 8 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Sumate Sathitbun-anan ◽  
Bundit Fungtammasan ◽  
Mirko Barz ◽  
Boonrod Sajjakulnukit ◽  
Suthum Pathumsawad

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 11
Author(s):  
Vincenzo D’Agostino ◽  
Arturo Lapietra ◽  
Luca Petrungaro

This study provides an estimation of pay-4-performance (P4P) rates that energy providers are willing to offer in a P4P scheme in EU according to the classification of Energy efficiency measures (classes of EEMs). Seven different categories of EEMs are identified and 4 different tables for evaluating the EEMs are devised. After devising the classes of EEMs, the P4P rate concept is presented through the mechanism of the Energy Efficiency obligation schemes and considering the energy providers’ perspective. The proposed approach is not focused on quantifying the P4P rates, but on identifying which variables and parameters can affect these rates.


2021 ◽  
Vol 13 (13) ◽  
pp. 7251
Author(s):  
Mushk Bughio ◽  
Muhammad Shoaib Khan ◽  
Waqas Ahmed Mahar ◽  
Thorsten Schuetze

Electric appliances for cooling and lighting are responsible for most of the increase in electricity consumption in Karachi, Pakistan. This study aims to investigate the impact of passive energy efficiency measures (PEEMs) on the potential reduction of indoor temperature and cooling energy demand of an architectural campus building (ACB) in Karachi, Pakistan. PEEMs focus on the building envelope’s design and construction, which is a key factor of influence on a building’s cooling energy demand. The existing architectural campus building was modeled using the building information modeling (BIM) software Autodesk Revit. Data related to the electricity consumption for cooling, building masses, occupancy conditions, utility bills, energy use intensity, as well as space types, were collected and analyzed to develop a virtual ACB model. The utility bill data were used to calibrate the DesignBuilder and EnergyPlus base case models of the existing ACB. The cooling energy demand was compared with different alternative building envelope compositions applied as PEEMs in the renovation of the existing exemplary ACB. Finally, cooling energy demand reduction potentials and the related potential electricity demand savings were determined. The quantification of the cooling energy demand facilitates the definition of the building’s electricity consumption benchmarks for cooling with specific technologies.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Muhammad Sadiq ◽  
Syed Wajahat Ali ◽  
Yacine Terriche ◽  
Muhammad Umair Mutarraf ◽  
Mustafa Alrayah Hassan ◽  
...  

2019 ◽  
Vol 158 ◽  
pp. 3346-3351 ◽  
Author(s):  
Andrea Trianni ◽  
Enrico Cagno ◽  
Davide Accordini

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