Assessment  of  impacts  of  peak-shaving  programs on energy costs in the residential sector

Mohammad Hasan  Ghodusinejad; Hossein Yousefi; Khatereh  Azadi; Hossein   Mehvar

Issue

Vol. 2 No. 4 (2023): November 2023 Issue

Issue Published : November 15, 2023

Assessment of impacts of peak-shaving programs on energy costs in the residential sector

Mohammad Hasan Ghodusinejad

Renewable Energies and Environmental Engineering Department, Faculty of New Sciences and Technologies, University of Tehran, Iran

Hossein Yousefi

Renewable Energies and Environmental Engineering Department, Faculty of New Sciences and Technologies, University of Tehran, Iran

Khatereh Azadi

Renewable Energies and Environmental Engineering Department, Faculty of New Sciences and Technologies, University of Tehran, Iran

Hossein Mehvar

Electrical Engineering Department, Faculty of Graduate Studies, Islamic Azad University (Varamin Branch), Iran

Corresponding Author(s) : Hossein Yousefi

hosseinyousefi@ut.ac.ir

Future Energy, Vol. 2 No. 4 (2023): November 2023 Issue
Article Published : February 8, 2023

Abstract

Demand-side management, which includes various methods and mechanisms, plays a significant role in the management of energy systems. This paper examines the impacts of different demand-side management methods on energy costs of a residential load. In this regard, three scenarios have been developed: on-site energy generation, energy storage, and finally, load shifting during peak hours of energy consumption. The three proposed scenarios along with the basic state, were modeled with the help of the System Advisor Model and MATLAB. The modeling results showed that according to the load management process during the peak hours of the year, all three scenarios lead to a reduction in energy consumption costs.

Keywords

Demand-side management Load shifting Load management Peak shaving

Ghodusinejad , Mohammad Hasan, Hossein Yousefi, Khatereh Azadi, and Hossein Mehvar. 2023. “Assessment of Impacts of Peak-Shaving Programs on Energy Costs in the Residential Sector”. Future Energy 2 (4):24-30. https://fupubco.com/fuen/article/view/83.

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References

H. Shakouri G. and A. Kazemi, “Multi-objective cost-load optimization for demand side management of a residential area in smart grids,” Sustain. Cities Soc., vol. 32, pp. 171–180, 2017, doi: 10.1016/j.scs.2017.03.018.
M. Hasan Ghodusinejad, A. Ghodrati, R. Zahedi, and H. Yousefi, “Multi-criteria modeling and assessment of PV system performance in different climate areas of Iran,” Sustain. Energy Technol. Assessments, vol. 53, no. PB, p. 102520, 2022, doi: 10.1016/j.seta.2022.102520.
T. Logenthiran, D. Srinivasan, and T. Z. Shun, “Demand side management in smart grid using heuristic optimization,” IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1244–1252, 2012, doi: 10.1109/TSG.2012.2195686.
F. Pallonetto, M. De Rosa, F. D’Ettorre, and D. P. Finn, “On the assessment and control optimisation of demand response programs in residential buildings,” Renew. Sustain. Energy Rev., vol. 127, no. April 2019, p. 109861, 2020, doi: 10.1016/j.rser.2020.109861.
S. Kiliccote, D. Olsen, M. D. Sohn, and M. A. Piette, “Characterization of demand response in the commercial, industrial, and residential sectors in the United States,” Wiley Interdiscip. Rev. Energy Environ., vol. 5, no. 3, pp. 288–304, 2016, doi: 10.1002/wene.176.
M. Zheng, C. J. Meinrenken, and K. S. Lackner, “Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response,” Appl. Energy, vol. 126, pp. 297–306, 2014, doi: 10.1016/j.apenergy.2014.04.022.
A. Arteconi and F. Polonara, “Assessing the demand side management potential and the energy flexibility of heat pumps in buildings,” Energies, vol. 11, no. 7, pp. 1–19, 2018, doi: 10.3390/en11071846.
E. Matallanas et al., “Neural network controller for Active Demand-Side Management with PV energy in the residential sector,” Appl. Energy, vol. 91, no. 1, pp. 90–97, 2012, doi: 10.1016/j.apenergy.2011.09.004.
A. Barbato and A. Capone, “Optimization models and methods for demand-side management of residential users: A survey,” Energies, vol. 7, no. 9, pp. 5787–5824, 2014, doi: 10.3390/en7095787.
H. Yousefi, M. H. Ghodusinejad, and Y. Noorollahi, “Determining the optimal size of a ground source heat pump within an air-conditioning system with economic and emission considerations,” Energy Equip. Syst., vol. 5, no. 3, pp. 219–226, 2017.
A. S. O. Ogunjuyigbe, T. R. Ayodele, and O. A. Akinola, “User satisfaction-induced demand side load management in residential buildings with user budget constraint,” Appl. Energy, vol. 187, pp. 352–366, 2017, doi: 10.1016/j.apenergy.2016.11.071.
J. K. Gruber, S. Jahromizadeh, M. Prodanović, and V. Rakočević, “Application-oriented modelling of domestic energy demand,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 656–664, 2014, doi: 10.1016/j.ijepes.2014.04.008.
L. Li, C. Gong, S. Tian, and J. Jiao, “The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation,” Energy, vol. 96, pp. 48–58, 2016, doi: 10.1016/j.energy.2015.12.042.
R. T. De Salis, A. Clarke, Z. Wang, J. Moyne, and D. M. Tilbury, “Energy storage control for peak shaving in a single building,” IEEE Power Energy Soc. Gen. Meet., vol. 2014-Octob, no. October, pp. 1–5, 2014, doi: 10.1109/PESGM.2014.6938948.
H. Yousefi, M. H. Ghodusinejad, and Y. Noorollahi, “Analysis of the Effects of Flat and Tiered Pricing Methods on the Economic Feasibility of Residential Photovoltaic Systems,” J. Electr. Eng., vol. 48, no. 2, pp. 943–950, 2018.
X. Zhang, M. Li, Y. Ge, and G. Li, “Techno-economic feasibility analysis of solar photovoltaic power generation for buildings,” Appl. Therm. Eng., vol. 108, pp. 1362–1371, 2016, doi: 10.1016/j.applthermaleng.2016.07.199.
Z. Zhao, W. C. Lee, Y. Shin, and K. Bin Song, “An optimal power scheduling method for demand response in home energy management system,” IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1391–1400, 2013, doi: 10.1109/TSG.2013.2251018.
Y. Li, W. Gao, and Y. Ruan, “Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan,” Renew. Energy, vol. 127, pp. 514–523, 2018, doi: 10.1016/j.renene.2018.04.074.
C. Jankowiak, A. Zacharopoulos, C. Brandoni, P. Keatley, P. MacArtain, and N. Hewitt, “Assessing the benefits of decentralised residential batteries for load peak shaving,” J. Energy Storage, vol. 32, no. August, p. 101779, 2020, doi: 10.1016/j.est.2020.101779.

References

H. Shakouri G. and A. Kazemi, “Multi-objective cost-load optimization for demand side management of a residential area in smart grids,” Sustain. Cities Soc., vol. 32, pp. 171–180, 2017, doi: 10.1016/j.scs.2017.03.018.

M. Hasan Ghodusinejad, A. Ghodrati, R. Zahedi, and H. Yousefi, “Multi-criteria modeling and assessment of PV system performance in different climate areas of Iran,” Sustain. Energy Technol. Assessments, vol. 53, no. PB, p. 102520, 2022, doi: 10.1016/j.seta.2022.102520.

T. Logenthiran, D. Srinivasan, and T. Z. Shun, “Demand side management in smart grid using heuristic optimization,” IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1244–1252, 2012, doi: 10.1109/TSG.2012.2195686.

F. Pallonetto, M. De Rosa, F. D’Ettorre, and D. P. Finn, “On the assessment and control optimisation of demand response programs in residential buildings,” Renew. Sustain. Energy Rev., vol. 127, no. April 2019, p. 109861, 2020, doi: 10.1016/j.rser.2020.109861.

S. Kiliccote, D. Olsen, M. D. Sohn, and M. A. Piette, “Characterization of demand response in the commercial, industrial, and residential sectors in the United States,” Wiley Interdiscip. Rev. Energy Environ., vol. 5, no. 3, pp. 288–304, 2016, doi: 10.1002/wene.176.

M. Zheng, C. J. Meinrenken, and K. S. Lackner, “Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response,” Appl. Energy, vol. 126, pp. 297–306, 2014, doi: 10.1016/j.apenergy.2014.04.022.

A. Arteconi and F. Polonara, “Assessing the demand side management potential and the energy flexibility of heat pumps in buildings,” Energies, vol. 11, no. 7, pp. 1–19, 2018, doi: 10.3390/en11071846.

E. Matallanas et al., “Neural network controller for Active Demand-Side Management with PV energy in the residential sector,” Appl. Energy, vol. 91, no. 1, pp. 90–97, 2012, doi: 10.1016/j.apenergy.2011.09.004.

A. Barbato and A. Capone, “Optimization models and methods for demand-side management of residential users: A survey,” Energies, vol. 7, no. 9, pp. 5787–5824, 2014, doi: 10.3390/en7095787.

H. Yousefi, M. H. Ghodusinejad, and Y. Noorollahi, “Determining the optimal size of a ground source heat pump within an air-conditioning system with economic and emission considerations,” Energy Equip. Syst., vol. 5, no. 3, pp. 219–226, 2017.

A. S. O. Ogunjuyigbe, T. R. Ayodele, and O. A. Akinola, “User satisfaction-induced demand side load management in residential buildings with user budget constraint,” Appl. Energy, vol. 187, pp. 352–366, 2017, doi: 10.1016/j.apenergy.2016.11.071.

J. K. Gruber, S. Jahromizadeh, M. Prodanović, and V. Rakočević, “Application-oriented modelling of domestic energy demand,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 656–664, 2014, doi: 10.1016/j.ijepes.2014.04.008.

L. Li, C. Gong, S. Tian, and J. Jiao, “The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation,” Energy, vol. 96, pp. 48–58, 2016, doi: 10.1016/j.energy.2015.12.042.

R. T. De Salis, A. Clarke, Z. Wang, J. Moyne, and D. M. Tilbury, “Energy storage control for peak shaving in a single building,” IEEE Power Energy Soc. Gen. Meet., vol. 2014-Octob, no. October, pp. 1–5, 2014, doi: 10.1109/PESGM.2014.6938948.

H. Yousefi, M. H. Ghodusinejad, and Y. Noorollahi, “Analysis of the Effects of Flat and Tiered Pricing Methods on the Economic Feasibility of Residential Photovoltaic Systems,” J. Electr. Eng., vol. 48, no. 2, pp. 943–950, 2018.

X. Zhang, M. Li, Y. Ge, and G. Li, “Techno-economic feasibility analysis of solar photovoltaic power generation for buildings,” Appl. Therm. Eng., vol. 108, pp. 1362–1371, 2016, doi: 10.1016/j.applthermaleng.2016.07.199.

Z. Zhao, W. C. Lee, Y. Shin, and K. Bin Song, “An optimal power scheduling method for demand response in home energy management system,” IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1391–1400, 2013, doi: 10.1109/TSG.2013.2251018.

Y. Li, W. Gao, and Y. Ruan, “Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan,” Renew. Energy, vol. 127, pp. 514–523, 2018, doi: 10.1016/j.renene.2018.04.074.

C. Jankowiak, A. Zacharopoulos, C. Brandoni, P. Keatley, P. MacArtain, and N. Hewitt, “Assessing the benefits of decentralised residential batteries for load peak shaving,” J. Energy Storage, vol. 32, no. August, p. 101779, 2020, doi: 10.1016/j.est.2020.101779.

Issue

Vol. 2 No. 4 (2023): November 2023 Issue

Assessment of impacts of peak-shaving programs on energy costs in the residential sector

Corresponding Author(s) : Hossein Yousefi

Abstract

Keywords

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