Input-output model for forecasting economic and environmental effects of smart meters deployment in Poland

To the best of our knowledge this paper is the first attempt to estimate the macroeconomic and environmental effects that can be generated by widespread deployment of smart meters. The study applies macroeconomic data published by Central Statistical Office of Poland, and data developed in the framework of the Energy Transition Observatory (ETO) – a strategic project run by AGH University of Krakow, the Ministry of Climate and Environment of Poland, and the National Centre for Nuclear Research. Based on the collected dataset, unit investment and operational IO multipliers were calculated by means of an extended Leontief IO model, which set the ground for estimating the dynamics of three types of macroeconomic effects (employment, value added, global production) and climate and environmental effects (CO 2 emissions), as well as the green energy production effects (feasible system and share of RES) for the three considered development scenarios of the discussed technology until 2040. The results show that it is possible to seek to maintain an almost constant level of approximately 6000 of full-time jobs in the smart meters industry in 2031–2040 in all the three scenarios under consideration. The proposed research framework may be straightforwardly applied in analogous case studies focused on other countries. • Potential effects generated by a widespread deployment of smart meters are examined. • Forecasts of macroeconomic and environmental effects are estimated for Poland. • Study is based on a unique dataset provided by the Energy Transition Observatory. • Unit investment and operational multipliers were calculated using extended IO model. • The novel approach proposed opens a way for analogous studies in other countries.

Authors

Publication Details

Journal
Energy
Published
2025-05-10
DOI
https://doi.org/10.1016/j.energy.2025.136504
Citations
2
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
1.46

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article

Input-output model for forecasting economic and environmental effects of smart meters deployment in Poland

Ewa Adamiec, Krzysztof Gąska, Marek Kisiel‐Dorohinicki, Sylwia Kopeć et al.
2 citations
Energy
Smart Grid Energy Management
1.46
article

Input-output model for forecasting economic and environmental effects of smart meters deployment in Poland

Ewa Adamiec, Krzysztof Gąska, Marek Kisiel‐Dorohinicki, Sylwia Kopeć, Krzysztof Heller, Janusz Zyśk, Łukasz Lach, Ada Brzoza-Zajęcka
article en
2 citations

Abstract

To the best of our knowledge this paper is the first attempt to estimate the macroeconomic and environmental effects that can be generated by widespread deployment of smart meters. The study applies macroeconomic data published by Central Statistical Office of Poland, and data developed in the framework of the Energy Transition Observatory (ETO) – a strategic project run by AGH University of Krakow, the Ministry of Climate and Environment of Poland, and the National Centre for Nuclear Research. Based on the collected dataset, unit investment and operational IO multipliers were calculated by means of an extended Leontief IO model, which set the ground for estimating the dynamics of three types of macroeconomic effects (employment, value added, global production) and climate and environmental effects (CO 2 emissions), as well as the green energy production effects (feasible system and share of RES) for the three considered development scenarios of the discussed technology until 2040. The results show that it is possible to seek to maintain an almost constant level of approximately 6000 of full-time jobs in the smart meters industry in 2031–2040 in all the three scenarios under consideration. The proposed research framework may be straightforwardly applied in analogous case studies focused on other countries. • Potential effects generated by a widespread deployment of smart meters are examined. • Forecasts of macroeconomic and environmental effects are estimated for Poland. • Study is based on a unique dataset provided by the Energy Transition Observatory. • Unit investment and operational multipliers were calculated using extended IO model. • The novel approach proposed opens a way for analogous studies in other countries.

EnergyVol. 328
Ministerstwo Edukacji i Nauki, Silesian University of Technology, Narodowe Centrum Badań i Rozwoju
Climate action
Openalex Percentile: Top 18%
Smart Grid Energy Management
1.46
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