A systematic decision-making approach for planning and assessment of hybrid renewable energy-based microgrid with techno-economic optimization: A case study on an urban community in Egypt

Elkadeem, M.R.; Wang, Shaorong; Azmy, Ahmed M.; Atiya, Eman G.; Ullah, Zia; Sharshir, Swellam W.

doi:10.1016/j.scs.2019.102013

Cited by 128 publications

(29 citation statements)

References 76 publications

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“…HOMER Pro has been used in various techno‐economic analysis and sensitivity analysis studies [26–50] for different stand‐alone or grid‐connected hybrid microgrids (with different microgrid configurations from conventional to totally renewable with different configurable generation resources within the software (diesel generator, natural gas generator, solar PV, wind, biomass, fuel cell, hydro) energy storage devices including different battery technologies, hydrogen and supercapacitors) for different applications (residential, community, commercial and agricultural). These case studies covered systems in various countries such as: Canada [26, 36], Australia [27, 37], India [28, 32, 40, 44], Spain [29], Morocco [30], Malaysia [31], Greece [33], Venezuela [34], Saudi Arabia [35], Iraq [38], Myanmar [39], Sudan [41], South Africa [42, 49, 50], USA [43], Egypt [45], China [46], Iran [47] and Pakistan [48]. Two studies [29, 48] integrate demand side management to minimise the unnecessary capital initial investment in the power plant.…”

Section: Optimal Sizing Techniques For Mining Energy Assetsmentioning

confidence: 99%

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Optimal hybrid microgrid sizing framework for the mining industry with three case studies from Australia

Ellabban¹,

Alassi

2021

IET Renewable Power Gen

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The mining industry is showing increasing interest in adding renewable energy sources (RES) to their mines energy mix as one of the principles of sustainable and profitable mining. This paper proposes a systematic and integrative optimal economic hybrid microgrid sizing framework for profitability analysis in off‐grid hybrid renewable‐energy‐based microgrids in the mining industry. The proposed framework is validated with three case studies in different mining locations in Australia based on real market data, investigating various mining site power configurations, and considering the key technical, environmental, and economic considerations. The results highlight the impact of integrating RES in greenfield or brownfield mines in terms of diesel/RES assets sizing and total cost of electricity generation for each scenario, in addition to evaluating the feasibility of grid‐extension to the mining site versus on‐site generation for a greenfield scenario. Sensitivity analysis is carried out to study the impact of varying different input parameters on the system size and cost. The contributions of this research thus provide practical insights on the profitability of hybrid microgrids in mining applications to the various stakeholders such as independent power producers (IPPs), mining facility owners and policy makers.

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Section: Optimal Sizing Techniques For Mining Energy Assetsmentioning

confidence: 99%

“…As an economic optimisation tool, HOMER Pro has the following objective function to minimise the COE while maintaining the various system constraints [41,44,45], as:…”

Section: Objective Function Of Optimal Configurationmentioning

confidence: 99%

Optimal hybrid microgrid sizing framework for the mining industry with three case studies from Australia

Ellabban¹,

Alassi

2021

IET Renewable Power Gen

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“…where E b i is the net battery energy in time (t), E b i h is the total energy generated at a specific time, E b i l is the load demand in time (t), η b j is the converter efficiency, η b b is the charging efficiency of the battery, and σ is the rate of self discharge. For a battery to retain enough charge to support a designed system when PV powers are unavailable, the capacity must be tailored by using Equation ( 5) which is referenced to [16].…”

Section: Modeling Of Photovoltaic Modulementioning

confidence: 99%

Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis

et al. 2021

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The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in the local population and the number of visitors visiting the Banana Islands. Banana Islands is a grid-isolated environment with abundant renewable energy, establishing a hybrid renewable energy-based power system may be a viable solution to the high cost of diesel fuel. This paper describes a dual-flow optimization method for electrifying the Banana Islands, a remote island in Sierra Leone. The study weighs the pros and cons of maintaining the current diesel-based power setup versus introducing a hybrid renewable energy system that takes backup component analysis into account. Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in the first optimization to optimally design the various system configurations based on techno-economic and environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model that takes into account in the second optimization, the Combinative Distance-based Assessment System (CODAS) algorithm, and various methods of assigning weights to the attributes is used to rank the best configuration. The results show that the hybrid renewable energy system is a better option for electrifying the Banana Islands than the current stand-alone system. The Analytical Hierarchy Process (AHP) method of weight assignment was found to be superior to the Entropy method. Biogas generator-assisted hybrid configurations outperformed diesel generator-assisted hybrid configurations. With an optimum design of 101 kW PV, 1 wind turbine, 50 kW biogas, 86 batteries, and a 37.8 kW converter, the PV-wind-biogas-battery system is rated as the best configuration. It has a net present cost (NPC) of $487,247, a cost of energy (COE) of $0.211/kWh, and CO2 emission of 17.5 kg/year. Sensitivity analyses reveal that changes in the rate of inflation and the cost of storage have a significant effect on the overall cost of the configuration.

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“…This strong dependence on fossil fuels is mainly due to the strong subsidies on fossil energy utilities imposed so far, which caused a vulnerability of the country to socio-economic events, resulting in low levels of reliability and security of supply [86]. The natural decline of the deposits due to their continued use in the generation process, as well as the aging of the infrastructure and the inadequate generation and transmission capacity are some of the features of the country's energy sector [87]. In addition, domestic electricity demand is growing rapidly.…”

Section: Criteriamentioning

confidence: 99%

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

et al. 2020

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The emerging need to tackle climate change and mitigate greenhouse gas emissions has led to the consolidation of interest in renewable energy sources (RES) setting specific targets in the European area. To achieve the ambitious targets set, Member States are given the opportunity to cooperate with one or more of their developing neighboring countries. The aim of this paper is to develop a methodological framework based on the combination of the Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis with the Analytic Hierarchy Process (AHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) methods for adopting the most appropriate strategic plan, in order to establish a successful energy cooperation that will create beneficial conditions for all the involved parties. The results could be important in facilitating decision makers to assess the role and design of this cooperation mechanism. Key insights will also emerge with regards to opportunities for energy strategy cooperation between Europe and its neighboring countries.

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A systematic decision-making approach for planning and assessment of hybrid renewable energy-based microgrid with techno-economic optimization: A case study on an urban community in Egypt

Cited by 128 publications

References 76 publications

Optimal hybrid microgrid sizing framework for the mining industry with three case studies from Australia

Optimal hybrid microgrid sizing framework for the mining industry with three case studies from Australia

Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

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