Gap analysis of industrial energy management systems in Slovenia

Energy ◽  
2016 ◽  
Vol 108 ◽  
pp. 41-49 ◽  
Author(s):  
Matevz Pusnik ◽  
Fouad Al-Mansour ◽  
Boris Sucic ◽  
A.F. Gubina
2021 ◽  
Author(s):  
Mehar Ullah ◽  
Arun Narayanan ◽  
Annika Wolff ◽  
Pedro Nardelli

We have used our IoT platform selection framework to select a suitable IoT platform for Industrial Energy Management Systems


2021 ◽  
Author(s):  
Mehar Ullah ◽  
Arun Narayanan ◽  
Annika Wolff ◽  
Pedro Nardelli

<div>This contribution aims to propose a high-level architecture for IEnMS that incorporates IoT and Big Data. This is necessary because although IoT and Big Data have been considered in home energy management systems (HEMS), their implementation and applications in IEnMS are not well studied.</div>


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2784 ◽  
Author(s):  
Aida Sa ◽  
Patrik Thollander ◽  
Majid Rafiee

Transitions is today’s debate in almost all topics both in academia and practice. Energy transitions among others, have received relatively more attention, due to the global demand for increasing energy efficiency and lowering environmental impacts. In recent decades, energy management systems, through implementing energy management programs and related practices within industrial companies, have played a vital role in enhancing industrial energy efficiency performance levels. However, still there are problems at very first step of energy management program installation, which is decision-making. Despite market and non-market failures, lack of information, inadequate knowledge, the consequent increase in the perception of risk and uncertainty can be addressed as potential reasons for mentioned problems. Another essential reason can be explained through how an energy program is characterized by people who are attending at an energy-related decision desk. Keeping in mind that allocation of the budget for any investment should not only have financial conformation, but also a strategic value for the company, this paper aims to discuss the impacting parameters on industrial energy-related decision-making and behavior patterns with respect to the critical role of industrial energy management systems.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2210 ◽  
Author(s):  
Kristaps Locmelis ◽  
Dagnija Blumberga ◽  
Andra Blumberga ◽  
Anna Kubule

Latvia’s industrial energy efficiency policy imposes the implementation of mandatory energy audits and energy management systems in large industrial enterprises and large industrial electricity consumers to improve industrial competitiveness, to move towards a carbon-neutral economy and to increase the security of supply. Companies affected by this energy efficiency policy are obliged to report to the national energy efficiency monitoring system on energy efficiency measures indicated in energy audits or energy management systems with the highest savings or economical potential. The purpose of this study was to assess the initial outcomes of the first industrial energy efficiency program in Latvia, using data from the national energy efficiency monitoring system, including an analysis of individual energy audit reports, and benchmarking it with findings from a similar program, thereby revealing untapped energy efficiency and CO2 emission reduction potential. Although the national monitoring system made it possible to ascertain results of the energy efficiency program, the statistical analysis of the data did not allow for a robust conclusion on the technical or economic industrial energy efficiency potential. This study suggests that Latvia’s energy efficient policy should continue its course in implementation and provides recommendations for improvements on the national energy efficiency monitoring system.


2021 ◽  
Author(s):  
Mehar Ullah ◽  
Arun Narayanan ◽  
Annika Wolff ◽  
Pedro Nardelli

<div>This contribution aims to propose a high-level architecture for IEnMS that incorporates IoT and Big Data. This is necessary because although IoT and Big Data have been considered in home energy management systems (HEMS), their implementation and applications in IEnMS are not well studied.</div>


2015 ◽  
Vol 82 ◽  
pp. 562-569 ◽  
Author(s):  
Fabrizio Bonacina ◽  
Alessandro Corsini ◽  
Luciano De Propris ◽  
Andrea Marchegiani ◽  
Francesco Mori

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