<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Development of renewable energy means that there is a growing demand for technology that helps to manage and consume it in an optimal way, using more energy when it is produced on sunny/ windy days, preferably at the place of production, and avoiding long-distance transmission. This opens the field for solutions based on the Internet of Things (IoT) technologies, advanced demand management, and the concept of smart energy. The creation of a smart home energy management system (HEMS), which will help end users to manage the produced electricity, was the goal of the project entitled “e-balance – Balancing Energy Production and Consumption in Energy Efficient Smart Neighbourhoods”. Research with potential users carried out within the project showed that the existence of such systems in the home environment redefines the concept of electricity, which becomes tangible and always present in sight. Users also expected that the system would significantly reduce their electricity bills, an expectation which is not always confirmed by economic simulations. This means that the final solution will have to take account of other types of motivation and engagement, e.g., environmental ones. The paper presents conclusions from quantitative and qualitative research conducted within the “e-balance” project in Poland, Portugal, and the Netherlands.</p></abstract>

Development of renewable energy means that there is a growing demand for technology that helps to manage and consume it in an optimal way, using more energy when it is produced on sunny/ windy days, preferably at the place of production, and avoiding long-distance transmission. This opens the field for solutions based on the Internet of Things (IoT) technologies, advanced demand management, and the concept of smart energy. The creation of a smart home energy management system (HEMS), which will help end users to manage the produced electricity, was the goal of the project entitled “e-balance – Balancing Energy Production and Consumption in Energy Efficient Smart Neighbourhoods”. Research with potential users carried out within the project showed that the existence of such systems in the home environment redefines the concept of electricity, which becomes tangible and always present in sight. Users also expected that the system would significantly reduce their electricity bills, an expectation which is not always confirmed by economic simulations. This means that the final solution will have to take account of other types of motivation and engagement, e.g., environmental ones. The paper presents conclusions from quantitative and qualitative research conducted within the “e-balance” project in Poland, Portugal, and the Netherlands.

End users’ motivations as a key for the adoption of the home energy management system

International Journal of Management and Economics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Development of renewable energy means that there is a growing demand for technology that helps to manage and consume it in an optimal way, using more energy...

The level of user activity	Supplier profit (EUR)*	User profit (EUR)*	Aggregator profit (EUR)*
Low elasticity/activity (v_i = 0.001)	35,741.00	5.00	18,803.00
Medium elasticity/activity (v= 0.0008) _i	58,227.00	16.00	28,267.00
Normal elasticity/activity (v_i = 0.0006)	89,574.00	25.00	43,713.00

The level of user activity	Supplier profit (EUR)*	User profit (EUR)*	Aggregator profit (EUR)*
Low elasticity/activity (v_i = 0.02)	37,087.86	6.90	21,661.43
Medium elasticity/activity (v_i = 0.01)	80,571.67	8.81	36,392.38
Normal elasticity/activity (v_i = 0.005)	153,998.81	12.86	61,806.90
High elasticity/activity (v_i = 0.0025)	313,380.95	30.95	101,849.52

The level of user activity	Supplier profit (EUR)*	User profit (EUR)*	Aggregator profit (EUR)*
Low elasticity/activity (v_i = 0.2)	16,494.29	5.00	8,247.14
Medium elasticity/activity (v= 0.1) _i	32,988.57	10.00	16,494.29
Normal elasticity/activity (v_i = 0.05)	65,977.38	19.76	32,988.57
High elasticity/activity (v_i = 0.025)	127,982.38	38.57	65,680.00

End users’ motivations as a key for the adoption of the home energy management system

Article Category: Research Article

Data publikacji: 20 sie 2019

Zakres stron: 13 - 24

Otrzymano: 25 cze 2018

Przyjęty: 03 lis 2018

DOI: https://doi.org/10.2478/ijme-2019-0002

Słowa kluczowe
Internet of Things, smart city, smart energy, energy flexibility, user motivation research

© 2019 Jarosław Kowalski, Bożena Ewa Matusiak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Figure 2

Figure 3

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) EPEX SPOT Power NL

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) – Warsaw TGE

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) – Polish balancing market

End users’ motivations as a key for the adoption of the home energy management system

Article Category: Research Article

Data publikacji: 20 sie 2019

Zakres stron: 13 - 24

Otrzymano: 25 cze 2018

Przyjęty: 03 lis 2018

DOI: https://doi.org/10.2478/ijme-2019-0002

Słowa kluczoweInternet of Things, smart city, smart energy, energy flexibility, user motivation research

© 2019 Jarosław Kowalski, Bożena Ewa Matusiak, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Figure 2

Figure 3

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) EPEX SPOT Power NL

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) – Warsaw TGE

Annual profits for different levels of user elasticity/activity vi (a 5,000 user pool) – Polish balancing market

Słowa kluczowe
Internet of Things, smart city, smart energy, energy flexibility, user motivation research