Sustainable Microgrid Analysis for Kutubdia Island of Bangladesh

Uninterrupted power supply with sustainable microgrid remains a big challenge for Kutubdia Island in Bangladesh. However, the majority of study has been focused on the techno-economic aspects of producing electricity in support of this isolated area. To bridge the gap, the present study proposes a methodology for assessing off-grid hybrid microgrid pertaining to the priorities of four key sustainability performance indicators (KSPI): economy, environment, technology, and society. The evaluation process also includes total 13 sets of sub-indicators under KSPI, such as levelized cost of energy, return on investment, CO2 emissions, renewable fraction, excess electricity, unmet load, land usage, job creation etc. The comprehensive value of KSPI regarding economic, environmental, technical, and social priorities are computed using fuzzy logic Mamdani type rules, which facilitates human judgment in linguistic terms and eliminates weightage ambiguity. Seven microgrid scenarios integrating locally accessible resources have been scored and ranked to identify suitable configuration. According to the findings, the PV/Wind/Diesel/Converter/Battery combination reveals best option considering economic priority. On the other hand, the PV/Wind/Converter/Battery alternative receives excellent performance scores and is recommended in both environmental and social categories. However, the PV/Diesel/Converter/Battery arrangement outperforms the others architectures and gets preference for technical reasons. Additionally, the electrical, financial, emission, and sensitivity analysis are carried out for a selected microgrid in Kutubdia. This assessment framework can assist academics, policymakers and investors for planning microgrid in a better way based on sustainable dimensions.

[1]  P. Das,et al.  Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms , 2022 .

[2]  Shaorong Wang,et al.  Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply , 2021 .

[3]  Md. Alamgir Hossain,et al.  Feasibility and techno-economic analysis of stand-alone and grid-connected PV/Wind/Diesel/Batt hybrid energy system: A case study , 2021 .

[4]  Yanbing Ju,et al.  Optimizing renewable energy portfolios with a human development approach by fuzzy interval goal programming , 2021, Sustainable Cities and Society.

[5]  Viet Tinh Nguyen,et al.  A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources , 2021, Mathematics.

[6]  Barun Das,et al.  Techno-economic optimisation of stand-alone hybrid renewable energy systems for concurrently meeting electric and heating demand , 2021 .

[7]  Md Salman Rahman,et al.  Design of a stand-alone energy hybrid system for a makeshift health care center: A case study , 2021, Journal of Building Engineering.

[8]  Forhad Zaman,et al.  Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh , 2021, Energy Conversion and Management.

[9]  Tausif Ali,et al.  A hybrid multi-criteria decision-making approach to solve renewable energy technology selection problem for Rohingya refugees in Bangladesh , 2020 .

[10]  Luai M. Alhems,et al.  A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines , 2020, Sustainability.

[11]  Enrique Herrera-Viedma,et al.  Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions , 2020, Sustainability.

[12]  Monirul Islam Miskat,et al.  Developing and evaluating a stand-alone hybrid energy system for Rohingya refugee community in Bangladesh , 2020 .

[13]  Imran Khan Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment , 2020 .

[14]  Eklas Hossain,et al.  Size Optimization and Sensitivity Analysis of Hybrid Wind/PV Micro-Grids- A Case Study for Bangladesh , 2019, IEEE Access.

[15]  Yael Parag,et al.  Sustainable microgrids: Economic, environmental and social costs and benefits of microgrid deployment , 2019, Energy for Sustainable Development.

[16]  İhsan Kaya,et al.  A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making , 2019, Energy Strategy Reviews.

[17]  Forhad Zaman,et al.  Performance analysis of a PV/Diesel hybrid system for a remote area in Bangladesh: Effects of dispatch strategies, batteries, and generator selection , 2019, Energy.

[18]  Tomonobu Senjyu,et al.  A sustainable microgrid: A sustainability and management-oriented approach , 2019, Energy Procedia.

[19]  Ramesh C. Bansal,et al.  Integrated assessment of a sustainable microgrid for a remote village in hilly region , 2019, Energy Conversion and Management.

[20]  Nirendra N. Mustafi,et al.  Design and Simulation of an Optimal Mini-Grid Solar-Diesel Hybrid Power Generation System in a Remote Bangladesh , 2018, International Journal of Smart grid.

[21]  Najmul Hoque,et al.  Optimum sizing of a stand-alone hybrid energy system for rural electrification in Bangladesh , 2018, Journal of Cleaner Production.

[22]  Chia-Nan Wang,et al.  A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment , 2018, Applied Sciences.

[23]  B. Domenech,et al.  Sustainability and design assessment of rural hybrid microgrids in Venezuela , 2018, Energy.

[24]  Jürgen Scheffran,et al.  Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis , 2018 .

[25]  Ramesh C. Bansal,et al.  A Novel Methodological Framework for the Design of Sustainable Rural Microgrid for Developing Nations , 2018, IEEE Access.

[26]  Ratih Fitria Jumarni,et al.  An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems , 2018 .

[27]  N. Mustafi,et al.  Design, Simulation, and Economic Analysis of an Optimal Mini-grid Solar-Fuel Cell Hybrid Power Generation System for a Remote Island of Bangladesh , 2018 .

[28]  Monirul Islam Miskat,et al.  Feasibility Study of Hybrid Renewable Energy System for Electrification of Kutubdia , 2018 .

[29]  T. C. Trindade,et al.  Sustainability Performance Evaluation of Renewable Energy Sources: The Case of Brazil , 2018 .

[30]  İhsan Kaya,et al.  Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey , 2017 .

[31]  Abu Raihan,et al.  A techno-economic feasibility of a stand-alone hybrid power generation for remote area application in Bangladesh , 2017 .

[32]  Abdelkrim Liazid,et al.  A multi-criteria approach to rank renewables for the Algerian electricity system , 2017 .

[33]  Arvind R. Singh,et al.  A review of multi criteria decision making (MCDM) towards sustainable renewable energy development , 2017 .

[34]  Sayedus Salehin,et al.  Assessment of renewable energy systems combining techno-economic optimization with energy scenario analysis , 2016 .

[35]  Md. Rashedul Islam,et al.  A feasibility study & simulative development of hybrid power plant using renewable energy at isolated island Kutubdia in Bangladesh , 2016, 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).

[36]  Dragan Komljenovic,et al.  A multicriteria decision making approach for evaluating renewable power generation sources in Saudi Arabia , 2016 .

[37]  Jose M. Yusta,et al.  Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation , 2016 .

[38]  Sayedus Salehin,et al.  Modeling of an Optimized Hybrid Energy System for Kutubdia Island, Bangladesh , 2016 .

[39]  Chee Wei Tan,et al.  Proposition of a PV/tidal powered micro-hydro and diesel hybrid system: A southern Bangladesh focus , 2016 .

[40]  Luis Gomez-Echeverri,et al.  Goal 7: Ensure access to affordable, reliable, sustainable, and modern energy for all , 2015 .

[41]  Aminul Hoque,et al.  Design and optimal cost analysis of hybrid power system for Kutubdia island of Bangladesh , 2014, 8th International Conference on Electrical and Computer Engineering.

[42]  Rafik Missaoui,et al.  Multi-criteria analysis of electricity generation mix scenarios in Tunisia , 2014 .

[43]  Mads Troldborg,et al.  Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties , 2014 .

[44]  Alexandru Maxim Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis , 2014 .

[45]  Hesham A. Hefny,et al.  Fuzzy multi-criteria decision making model for different scenarios of electrical power generation in Egypt , 2013 .

[46]  Eric W. Stein,et al.  A comprehensive multi-criteria model to rank electric energy production technologies , 2013 .

[47]  Mafin Muntasir Rahman,et al.  Design and simulation of an Off-Grid Wind-Solar-Diesel Hybrid Power System in Kutubdia, Bangladesh , 2013 .

[48]  B. Hobbs,et al.  Sustainability and reliability assessment of microgrids in a regional electricity market , 2012 .

[49]  A. Angelis-Dimakis,et al.  Monitoring the sustainability of the Greek energy system , 2012 .

[50]  Sung-Lin Hsueh,et al.  Enhancing Sustainable Community Developments: A Multi-criteria Evaluation Model for Energy Efficient Project Selection , 2011 .

[51]  Himangshu Ranjan Ghosh,et al.  Techno-economical analysis of off-grid hybrid systems at Kutubdia Island, Bangladesh , 2010 .

[52]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[53]  Annette Evans,et al.  Assessment of sustainability indicators for renewable energy technologies , 2009 .

[54]  Shahriar Shafiee,et al.  When will fossil fuel reserves be diminished , 2009 .

[55]  Paul Breeze,et al.  Power Generation Technologies , 2005 .