1. Energy Efficiency for Small and Medium Enterprises

The purpose of this study was to analyze the management accounting system in influencing energy, environmental uncertainty and environmental performance in SMEs in Grobogan Regency. The population of this study is SMEs in the grobogan registered at the Grobogan Regency Cooperative and SME Office with a sample of 60 SME owners. The analytical tool used is Smart PLS 3.0. The results of this study are a positive management accounting system on energy efficiency, a positive negative management accounting system on environmental planning, a positive management accounting system supporting environmental improvement. The results of the fourth hypothesis confirm positive energy efficiency on Environmental performance. Subsequent results indicate environmental policy.

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An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

10.20944/preprints202004.0485.v1 ◽

2020 ◽

Author(s):

Gheorghe Grigoraș ◽

Bogdan-Constantin Neagu

Keyword(s):

Data Mining ◽

Energy Efficiency ◽

Decision Support ◽

Energy Consumption ◽

Production Scheduling ◽

Small And Medium Enterprises ◽

Small Enterprise ◽

Data Mining Techniques ◽

Medium Enterprises ◽

The Impact

The paper presents a new vision on the energy consumption management in the case of the Small and Medium Enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, which contains modules for database management, profiling, forecasting, and production scheduling. Inside each module, Artificial Intelligence and Data Mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the Data Mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact whom the energy bills have on the operational costs.

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Energy efficiency and use of renewable solutions of small and medium enterprises

PRZEGLĄD ELEKTROTECHNICZNY ◽

10.15199/48.2016.09.50 ◽

2016 ◽

Vol 1 (9) ◽

pp. 205-208

Author(s):

Miralem HAD�ISELIMOVIĆ

Keyword(s):

Energy Efficiency ◽

Small And Medium Enterprises ◽

Medium Enterprises

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Energy Efficiency for Small and Medium Enterprises

10.3362/9781780444031 ◽

1999 ◽

Cited By ~ 1

Author(s):

Elizabeth Muguti ◽

Saskia Everts ◽

Bob Schulte ◽

Linda Smallegange

Keyword(s):

Energy Efficiency ◽

Small And Medium Enterprises ◽

Medium Enterprises

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An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

Applied Sciences ◽

10.3390/app10103505 ◽

2020 ◽

Vol 10 (10) ◽

pp. 3505

Author(s):

Gheorghe Grigoraș ◽

Bogdan-Constantin Neagu

Keyword(s):

Data Mining ◽

Energy Efficiency ◽

Decision Support ◽

Energy Consumption ◽

Production Scheduling ◽

Small And Medium Enterprises ◽

Small Enterprise ◽

Data Mining Techniques ◽

Medium Enterprises ◽

The Impact

The paper presents a new vision on the energy consumption management in the case of the small and medium enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, with four modules for database management, profiling, forecasting, and production scheduling. Inside each module, artificial intelligence and data mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the data mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact for which energy bills have on the operational costs.

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ISO 50001: 2018 and Its Application in a Comprehensive Management System with an Energy-Performance Focus

Energies ◽

10.3390/en12244700 ◽

2019 ◽

Vol 12 (24) ◽

pp. 4700 ◽

Cited By ~ 4

Author(s):

P. Pablo Poveda-Orjuela ◽

J. Carlos García-Díaz ◽

Alexander Pulido-Rojano ◽

Germán Cañón-Zabala

Keyword(s):

Energy Efficiency ◽

Small And Medium Enterprises ◽

Energy Performance ◽

Energy Resources ◽

Management Systems ◽

Basic Approach ◽

Comprehensive Management ◽

Efficient Management ◽

Safety And Health ◽

Medium Enterprises

Business progress and human development are linked to the efficient management of energy resources. The research in this paper contributes to the generalized application of good practices that reduce the vulnerability of companies. The research focuses on energy efficiency through comprehensive management systems (CMS), and “thought based on risks and opportunities”, considering the discussion about the revision of ISO 50001:2018, the basic approach of the model and the route to implement CMS for quality, safety and health in the workplace, environmental management, energy efficiency, and other risk components. This implementation route, with the acronym CMS QHSE3+, places special emphasis on the functions of strategic planning, operational and risk management, and controls, as well as on deliverables and references to examples, templates, standards, and documents, to facilitate its application general in small and medium enterprises and in the management of energy efficiency.

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