Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh

Das, Barun; Hassan, Rakibul; Tushar, Mohammad Shahed Hasan Khan; Zaman, Forhad; Hasan, Mahmudul; Das, Pronob

doi:10.1016/j.enconman.2020.113823

Cited by 139 publications

(54 citation statements)

References 66 publications

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“…For utility companies, it is necessary to optimize power production so that the maximum amount of energy is utilized from these renewable sources so as to reduce cost to the user while also maintaining the quality of service. The authors in [47][48][49][50][51][52][53][54][55][56][57][58][59][60] provide a management scheme for DERs to minimize cost. In this regard, the authors in [47,48,[50][51][52]55,[58][59][60] all formulate the problem of distributed energy resource management as a single objective problem where the cost incurred is minimized.…”

Section: Smart Gridmentioning

confidence: 99%

Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints

Syed

Sierra-Sosa

Kumar

et al. 2022

Sensors

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One of the prime aims of smart cities has been to optimally manage the available resources and systems that are used in the city. With an increase in urban population that is set to grow even faster in the future, smart city development has been the main goal for governments worldwide. In this regard, while the useage of Artificial Intelligence (AI) techniques covering the areas of Machine and Deep Learning have garnered much attention for Smart Cities, less attention has focused towards the use of combinatorial optimization schemes. To help with this, the current review presents a coverage of optimization methods and applications from a smart city perspective enabled by the Internet of Things (IoT). A mapping is provided for the most encountered applications of computational optimization within IoT smart cities for five popular optimization methods, ant colony optimization, genetic algorithm, particle swarm optimization, artificial bee colony optimization and differential evolution. For each application identified, the algorithms used, objectives considered, the nature of the formulation and constraints taken in to account have been specified and discussed. Lastly, the data setup used by each covered work is also mentioned and directions for future work have been identified. This review will help researchers by providing them a consolidated starting point for research in the domain of smart city application optimization.

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Section: Smart Gridmentioning

confidence: 99%

Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints

Syed

Sierra-Sosa

Kumar

et al. 2022

Sensors

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“…A solar module, wind turbine, biogas generator, and vanadium redox flow battery based hybrid energy system was introduced in [31], its intent being to supply reliable electricity to St. Martin's Island. The hybrid system components were sized based on the COE and life cycle emissions under a certain level of reliability using two multiobjective optimization techniques: non-dominated sorting GA II and infeasibility-driven evolutionary algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

A Short Assessment of Renewable Energy for Optimal Sizing of 100% Renewable Energy Based Microgrids in Remote Islands of Developing Countries: A Case Study in Bangladesh

et al. 2022

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This study explores Bangladesh’s present energy condition, renewable energy (RE) possibilities and designs an optimal 100% RE-based off-grid power system for St. Martin’s Island, Bangladesh. The optimal size of a hybrid renewable microgrid based on photovoltaic (PV) cells, a battery energy storage system (BESS), fuel cells (FC), and an electrolysis plant (EP) is proposed. Advanced direct load control (ADLC) and rooftop PV meet the energy demand at the lowest cost, and profits are maximized by selling chemical products produced by seawater electrolysis. Four cases are explored with the mixed-integer linear programming (MILP) optimization technique using MATLAB® software to demonstrate the efficacy of the suggested power system. The system cost in case 1 is lower than in the other cases, but there is no chance of profiting. Cases 2, 3, and 4 have greater installation costs, which may be repaid in 8.17, 7.72, and 8.01 years, respectively, by the profits. Though the revenue in case 3 is 6.23% higher than in case 2 and and 3.85% higher than in case 4, case 4 is considered the most reliable power system, as it can meet the energy demand at the lowest cost while increasing profits and not putting a burden on customers.

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“…The advancement in the computational power of computers significantly contributed for the increasing acceptance of such techniques. Genetic Algorithm [21], Teaching Learning Based Algorithms [22], Honey Bee Mating Algorithms [23] and Particle Swarm Optimisation (PSO) [24] are some of them that are widely applied in the energy fields. To use such techniques in the study of multi-carrier optimal power flows, the load flow model of the corresponding MES needs to be formulated first.…”

Section: Literature Review On Multi-carrier Optimal Power Flow Modelsmentioning

confidence: 99%

“…The objective function of the integrated optimal power flow is minimization of the daily operating cost of the MES, which is defined using equation (21). The operating cost is the sum of all costs of local generations and imports of heat, electricity and fuel (equation ( 22)).…”

Section: Objective Functionmentioning

confidence: 99%

Optimal heat and electric power flows in the presence of intermittent renewable source, heat storage and variable grid electricity tariff

Ayele

Mabrouk

Haurant

et al. 2021

Energy Conversion and Management

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Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh

Cited by 139 publications

References 66 publications

Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints

Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints

A Short Assessment of Renewable Energy for Optimal Sizing of 100% Renewable Energy Based Microgrids in Remote Islands of Developing Countries: A Case Study in Bangladesh

Optimal heat and electric power flows in the presence of intermittent renewable source, heat storage and variable grid electricity tariff

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