Techno Economic Feasibility Analysis of Grid-Connected Microgrid by Using Solar PV for Residential Usage

Mahmud, Dewan Mahnaaz; Hasan, Sayeed; Ahmed, S.M. Masum; Zeyad, Mohammad

doi:10.1109/r10-htc53172.2021.9641732

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…In the energy sector, there has been a significant amount of study and implementation to promote efficient use and the proper integration of renewable sources. A grid‐tied solar home system was proposed by Mahmud et al for a residential building in a dense urban area 10 . The design goal was to reduce energy costs and NPC as much as possible.…”

Section: Introductionmentioning

confidence: 99%

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Optimization and planning of renewable energy sources based microgrid for a residential complex

Hasan¹,

Zeyad

Ahmed

et al. 2023

Env Prog and Sustain Energy

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World population growth and increased energy demand are taking a heavy toll on the environment. Aside from developed countries, the adverse effects are far more apparent in third‐world countries, which are also affected by climate change, pollution, and fuel scarcity. One of the primary solutions to this challenge is the implementation of cleaner and more sustainable energy resources. Building scale renewable integration is one of the solutions included in hybrid energy systems. The article aims to design a grid‐tied hybrid energy system for a residential complex in Dhaka, Bangladesh. The design includes several combinations of the photovoltaic system, diesel generator, and battery energy storage system (BESS). The key objectives of the analysis are to minimize system costs, reduce grid dependency, and reduce emissions. Various models were simulated in Hybrid optimization of multiple energy resources (HOMER Pro) to obtain a suitable system with maximum renewable usage. Several systems were compared based on different parameters such as net present cost (NPC), operating cost, cost of energy (COE), and carbon emissions. A grid‐tied system with PV and lithium battery storage was found to be the most suitable system for powering the residential load. From the analysis, the preferred system can reduce COE by 53%, NPC by 26%, and operating costs by 54%. Also, the total emission is reduced by 31%. Aside from being cost‐effective, the proposed system is also convenient and sustainable, with fewer salvageable parts owing to its use of lithium‐based BESS.

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Section: Introductionmentioning

confidence: 99%

“…A grid-tied solar home system was proposed by Mahmud et al for a residential building in a dense urban area. 10 The design goal was to reduce energy costs and NPC as much as possible. The study's conclusions resulted in a life cycle cost of $35,365, an energy cost of $0.021/kWh, and a 17,839 kg/year carbon emission.…”

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confidence: 99%

Optimization and planning of renewable energy sources based microgrid for a residential complex

Hasan¹,

Zeyad

Ahmed

et al. 2023

Env Prog and Sustain Energy

Self Cite

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“…Homer provides a variety of renewable components and resources for designing and simulating hybrid systems [3]. In [4], [5], feasibility analysis for residential loads was performed using Homer, and a microgrid was simulated for various agricultural loads in [6], [7]. A microgrid for a remote school was also modeled in [8].…”

Section: Introductionmentioning

confidence: 99%

Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh

Hasan,

Hazari,

Jahan

et al. 2023

AJSE

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The article focuses on sizing and designing microgrids with pvlib-python and the Python programming language. Pvlib-python is a free and open-source program for simulating solar photovoltaic (PV) systems. For the design, an existing case study of an agricultural microgrid comprised of PV arrays, batteries, and a biogas-based generator in an off-grid configuration was explored. The solar resources and PV system were modeled using pvlib-python, while the rest of the microgrid was built and simulated using a custom dispatch algorithm written in Python. The study also discussed an in-depth strategy for modeling PV utilizing various data sources using the included modules and functions. A similarly specified microgrid was also modeled in Homer Pro software and the results from the designed microgrid in Python were compared. The hourly distribution of data for both tools exhibits a noticeable deviation. The daily and annual distribution of most of the parameters, on the other hand, produce comparable results.

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“…As a result, the overall generation of electricity is operated by local energy sources, with just 4.28% imported, which is the main factor of the challenges for future electrification of Bangladesh [17]. However, although the electric generation capacity of Bangladesh reported was a maximum of 8122 MW in 2015, however, the demand was 10,283 MW at that time, and the installed capacity was 13265 MW [18,19]. Thus, Bangladesh has a higher power generation deficit than demand, which is a barrier to the country's development and advancement.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function

Tarik Aziz Patwary,

Djamal Hissein Didane,

Sami Al-Alimi

et al. 2023

ARFMTS

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Wind resource assessment is a key stage in planning for a wind energy project to predict the output power. Therefore, a full understanding of the wind characteristics at the potential site is required. This study examines the potential wind power of twelve meteorological stations in the Chittagong division over a tenure of ten-year ranges from 2010 to 2019. The statistical analyzer as the Weibull two-parameter distribution method has been utilized to determine the characteristics of wind speed and wind energy potential at the selected locations. The "WRPLOT" software has also been used to display the wind direction and the corresponding wind speed direction. Among these stations, Ambagan has a high wind factor, ranging from 2.1 to 3.2 m/s. The highest wind speed for Ambagan station was recorded in April (3.26 m/s) and the lowest was in November (1.06 m/s) compared to other selected stations. The Weibull form parameter (k) and scale parameter (c) at Ambagan station had the highest values of 1.5 and 3.5 m/s, respectively. With additional analysis and observation of these parameters, it became possible to predict the location in Chittagong with the greatest wind energy potential. In terms of wind direction, the prevailing wind direction of all stations is generally in the south. Furthermore, the results concluded that all of the analyzed parameters considered for wind behavior were numerically higher for Ambagan in contrast to other stations of the Chittagong division. This study clearly indicates that the Ambagan station should be used to maximize the potential of wind energy to attain the future goals of sustainable development for Bangladesh.

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Techno Economic Feasibility Analysis of Grid-Connected Microgrid by Using Solar PV for Residential Usage

Cited by 9 publications

References 6 publications

Optimization and planning of renewable energy sources based microgrid for a residential complex

Optimization and planning of renewable energy sources based microgrid for a residential complex

Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh

Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function

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