Research Article
Optimization Model for Home Energy Management Using Demand Response Strategy
Osita Omeje
,
Goziechi Orakwe,
Linus Idoko*
Issue:
Volume 15, Issue 3, June 2026
Pages:
71-80
Received:
25 April 2026
Accepted:
7 May 2026
Published:
4 June 2026
DOI:
10.11648/j.ijepe.20261503.11
Downloads:
Views:
Abstract: The energy industry faces a variety of challenges as a result of the growing demand for electricity. The emphasis is shifting to optimizing energy use in residential settings so as to achieve sustainable alternatives. The escalating demand for sustainable energy practices in residential environments gives rise to innovative approaches to home energy management. In order to significantly reduce home energy use and contribute to a more sustainable future, this paper proposes an optimization model for home energy management that combines Model Predictive Control (MPC) with Demand Response (DR) strategy to reduce energy consumption. The study used several types of data, such as the hourly load demand of a house and solar irradiance data. Load demand profile, derived from historical electricity usage records, provided hourly energy consumption over a 24-hour period, serving as essential input for predicting future energy needs using the MPC algorithm. Solar irradiance data and PV system specifications were utilized to model the power generated by PV panels, while information about the battery energy storage system, including its capacity, efficiency, and state of charge (SOC) limits, was essential for modelling the behavior of the battery in storing and discharging energy. The model encompasses mathematical models and optimization tools for the efficient usage of photovoltaic (PV) panels, battery energy storage systems (BESS), and grid power. With the aid of MATLAB/Simulink simulations, the study demonstrated that MPC effectively predicts energy demand and allocates power sources effectively, achieving a 41% reduction in energy costs compared to grid-only scenarios. Considering the results obtained, this paper suggests areas of further research work, such as integrating dynamic pricing models in countries like Nigeria and exploring hybrid renewable energy systems. This will build on the findings obtained in this work and further improve household energy efficiency and sustainability.
Abstract: The energy industry faces a variety of challenges as a result of the growing demand for electricity. The emphasis is shifting to optimizing energy use in residential settings so as to achieve sustainable alternatives. The escalating demand for sustainable energy practices in residential environments gives rise to innovative approaches to home energ...
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Research Article
Artificial Lift-Assisted Production Enhancement in Mature Oil Wells: A Case Study
Issue:
Volume 15, Issue 3, June 2026
Pages:
81-91
Received:
15 January 2022
Accepted:
26 June 2026
Published:
17 July 2026
DOI:
10.11648/j.ijepe.20261503.12
Downloads:
Views:
Abstract: Oil production is decreasing across the world due to natural depletion of the reservoirs. During the past decades, production from large number of oil wells has been decreased due to deletion of natural energy. Some of these wells are abundant and some of these are producing at their economic limit. To lift the oil and increase the productivity an additional energy is required which can reduce the flowing bottomhole pressure and decrease the pressure drawdown. Use of latest artificial lift technology to increase the production is now the main concern of all the companies. This research work is simulation base research conducted by using commercial simulator. Four different artificial lift methods are applied on a low productivity oil well named as Well X-1. The Well X-1 is drilled to depth of 7800 ft in a sandstone formation and is naturally flowing at the rate of 179, barrels of oil per day (BOPD) with Wellhead Flowing Pressure (WHFP) of 125 psig. Using the reservoir data and wellbore data of Well X-1, continuous gas lift, electrical submersible pump, jet pump and sucker rod pump lift method models are developed in the simulator. Based on technical evaluation, electrical submersible pump (ESP) lift method is selected to increase the oil production from Well X-1. ESP method resulted maximized production of 614 BOPD compared to all other artificial lift methods. Then economic evaluation of all the lift methods is carried out using spreadsheet and the results have shown that ESP method yields maximum net cash flow for the investment. Oil production from ESP lifted Well X-1 is further increased by using well intervention techniques which includes matrix acidizing and rig-less wireline additional perforation job. Matrix acidizing can significantly increase the oil production to 1309 BOPD compared to the wireline additional perforation.
Abstract: Oil production is decreasing across the world due to natural depletion of the reservoirs. During the past decades, production from large number of oil wells has been decreased due to deletion of natural energy. Some of these wells are abundant and some of these are producing at their economic limit. To lift the oil and increase the productivity an ...
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