Optimization of Electricity Consumption-Associated Costs in a Medium-Sized Logistics Company

Martins Tisenkopfs, Leo Jansons (), Ineta Geipele, Sanda Lapuke () and Andris Backurs
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Martins Tisenkopfs: Faculty of Engineering Economics and Management, Riga Technical University, 6 Kalnciema Str., LV-1048 Riga, Latvia
Leo Jansons: Faculty of Engineering Economics and Management, Riga Technical University, 6 Kalnciema Str., LV-1048 Riga, Latvia
Ineta Geipele: Faculty of Engineering Economics and Management, Riga Technical University, 6 Kalnciema Str., LV-1048 Riga, Latvia
Sanda Lapuke: Faculty of Engineering Economics and Management, Riga Technical University, 6 Kalnciema Str., LV-1048 Riga, Latvia
Andris Backurs: Faculty of Engineering, Latvia University of Life Sciences and Technologies, 5 J. Cakstes Blvd., LV-3001 Jelgava, Latvia

Energies, 2025, vol. 18, issue 12, 1-21

Abstract: The purpose of this research is to investigate the possibilities of electricity consumption-associated cost reduction in buildings owned by a medium-sized logistics company in Latvia (A_LV), which is a part of the larger international business ecosystem (A). The company is not using all of its facilities for its own business needs, some of them are rented out, and therefore the possibility of impacting electricity consumption in rented out buildings is limited. During the research, mixed-type approaches combining qualitative and quantitative research methods and data analysis were employed, where the quantitative methods helped to analyze the company’s electricity consumption and cost changes in different time periods, while the qualitative methods were used in a literature review. As primary data sources, A_LV’s internal electricity consumption reports and invoices for electricity payments were used, along with publicly available data on electricity consumption in Latvia and wholesale market price fluctuations. Although A_LV has numerous areas of electricity consumption optimization, this research is limited to few of them—lighting system optimization, energy management and automation applications, forklift charging regime adjustments, and choice of electricity retailer and tariff plan.

Keywords: electricity consumption; cost optimization; data analysis; medium-size company (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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