Multi-criterion Analysis of Selected Power Management Strategies in Smart Home Systems

1

Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland, Faculty of Electric Engineering, Department of Marine Electrical Power Engineering, e-mail: k.listewnik@we.umg.edu.pl

2

Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland, Faculty of Electric Engineering, e-mail: pio.forme@gmail.com

Abstract: 

The introduction of renewable energy sources (RES) and modern building automation solutions, known as smart homes, has greatly increased building energy efficiency. The number of smart home solutions and their elements in closed and open systems continues to grow. This paper attempts to present the energy management abilities in KNX smart home systems based on two different strategies applied to two model houses. Solutions based on a cost-effective strategy and solutions based on a comfort strategy were selected for a multi-criterion analysis based on an electric energy balance in selected buildings, economic analysis and analysis of the selected solutions in terms of user comfort. Finally, a comparative analysis was performed for the results of the multi-criterion analysis of smart home systems combined with RES for two selected buildings.

Keywords: 
smart home, KNX, renewable energy sources, energy management
Issue: 
Pages: 
79
93
Accepted: 
14.06.2022
Published: 
30.09.2022
Download full text in pdf: 

This article is an open access article distributed under a Creative Commoms Attribution (CCBY 4.0) licence

References: 

Arvind, V.R., Raj, R.R., Krishna Prakash, N., 2016, Industrial Automation Using Wireless Sensor Networks, Indian Journal of Science and Technology, vol. 9, no. 11, pp. 1–8.

Brooks, A., Lu, E., Reicher, D., Spirakis, C., Weihl, B., 2010, Demand Dispatch, IEEE Power Energy Magazine, 2010, vol. 8, no. 3.

Byun, J., Hong, I., Park, S., 2012, Intelligent Cloud Home Energy Management System Using Household Appliance Priority Based Scheduling Based on Prediction of Renewable Energy Capability, IEEE Transactions on Consumer Electronics, vol. 58, no. 4, pp. 1194–1201.

Bzunek, M., 2018, NPV – Wartość Bieżąca Netto – Opis metody i przykłady obliczeń, https://econopedia.pl/fp/budzetowanie/npv-wartosc-biezaca-netto/ (27 November 2021).

Ceny prądu w Polsce, 2021, http://www.cena-pradu.pl/tabela.html (27 November 2021).

Chwieduk, B., 2017, Analiza energetyczna i ekonomiczna współpracy instalacji fotowoltaicznej z pompą ciepła, KAPRINT, Rynek Energii, no. 5, pp. 66–73.

Ciesielka, E., 2021, Analiza możliwości współpracy instalacji PV z pompą ciepła, SIGMA-NOT, Przegląd Elektrotechniczny, vol. 97, no. 1, pp. 144–147.

Farhangi, H., 2009, The Path of the Smart Grid, IEEE Power Energy Magazine, vol. 8, no. 1, pp. 18–28.

Horyński, M., 2015, Energooszczędne zautomatyzowane systemy zarządzania energią w budynkach mieszkalnych, Monografie, Politechnika Lubelska, Lublin.

Krishna Prakash, N., Surjith, B., 2017, Wireless Sensor Network Based Remote Monitoring System in Smart Grids, IJCTA, vol. 9, no. 14, pp. 6639–6646.

Sejm RP, 2015, Acd dated 20 February 2015 on Renewable Energy Sources (Polish Journal of Laws 2015, item 478), https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=wdu20150000478 (27 November 2021).

Shoji, T., Hirohashi, W., Fujimoto, Y., Amano, Y., Tanabe, S.I., Hayashi, Y., 2015, Personalized Energy Management Systems for Home Appliances Based on Bayesian Networks, Journal of International Council on Electrical Engineering, no. 5, pp. 64–69.

Vojdani, A., 2008, Smart Integration – The Smart Grid Needs Infrastructure that is Dynamic and Flexible, IEEE Power Energy Magazine, vol. 6, no. 6, pp. 71–79.

Wang, S., Xu, X., 2004, Optimal and Robust Control of Out Door Ventilation Air Flow Rate for Improving Energy Efficiency and IAQ, Build Environ, no. 39, pp. 763–773.

Wójcicki, R., 2016, Analiza wpływu mechanizmów sterowania odbiornikami na zwiększenie efektywności energetycznej w fotowoltaicznych instalacjach prosumenckich, BŹEP, pp. 1–8.

Yogavani, D., Krishna Prakash, N., 2017, Implementation of Wireless Sensor Network Based Multi-core Embedded System for Smart City, IJCTA, vol. 10, no. 02, pp. 119–123.

Zhang, P., Li, C., Bhatt, N., 2010, Next-Generation Monitoring, Analysis and Control for the Future Smart Control Center, IEEE Transactions Smart Grid, vol. 1, no. 2, pp. 186–192.

Piotr Formela

Citation pattern: Listewnik K., Formela P., Multi-criterion Analysis of Selected Power Management Strategies in Smart Home Systems, Scientific Journal of Gdynia Maritime University, No. 123, pp. 79-93, 2022

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