Optimal Design Of Renewable Energy Systemusing Genetic Algorithm Case Study In Parangtritis

ABSTRAKAndil pariwisata terhadap perkembangan regional sangat besar begitu juga andilnya terhadap permasalahan lingkungan. Untuk mengurangi aspek negatif terhadap lingkungan serta meningkatkan penghematan, sistem energi terbarukan menempati prioritas penting dalam bidang pariwisata. Konfigurasi optimal sistem energi terbarukan direncanakan menggunakan Algoritma Genetika. Penelitian ini dilakukan untuk mengoptimasi sistem energi terbarukan di Parangtritis, Kretek, Bantul, Jawa Tengah. Sistem yang dirancang terdiri dari sel surya dan turbin angin, sedangkan sistem penyimpanannya menggunakan baterai dan fuel cell. Algoritma ini meminimisasi fungsi objektif biaya total yang terdiri dari biaya investasi, biaya penggantian serta biaya operasi dan perawatan. Kehandalan sistem dievaluasi menggunakan indeks Equivalent Loss Factor (). Indeks ini memberikan informasi jumlah energi yang tidak dapat dipasok oleh sistem energi terbarukan. Hasil simulasi memperlihatkan jumlah optimal sistem energi terbarukan dicapai dengan jumlah sel surya sebanyak 3, baterai 48,turbin angin sebanyak 36, elektroliser sebanyak 3, tangki hidrogen 2 dan fuel cell sebanyak 8. Nilai ELF yang digunakan dalam penelitian ini adalah 0.01.ABSTRACTTourism has a massive contribution to regional development and shares environmental issues. Reducing reliances on fossil fuel, it is not still adequating energy consumption yet to cause development of renewable energy in crucial position for tourism desicition. An optimal configuration of renewable energy system was planned by Genetic Algorithm in this work. This research conducted to optimize renewable energy system in Parangtritis, Kretek, Bantul Central Java. The system consisted of solar cells and wind turbines, and the batteries and fuel cells were as storage system. The algorithm minimize objective function of total cost consisted of investment, replacement as well as operating and maintenance costs. A reability evaluation of the system was given by Equivalent Loss Factor (). This index inform an insufficient energy in the systems. The simulation showed an optimum size of the system, achieved by size of PV, battery, wind turbine, electrolizer, hidrogen tank and fuel cell were 3, 48, 36, 3, 2, 8 respectively. The ELF used in this simulation was 0.01. Keywords: fossil fuel, renewable energy, tourism, Equivalent Lost Factor

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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

Energy Conversion and Management ◽

10.1016/j.enconman.2020.113823 ◽

2021 ◽

Vol 230 ◽

pp. 113823

Author(s):

Barun K. Das ◽

Rakibul Hassan ◽

Mohammad Shahed H.K. Tushar ◽

Forhad Zaman ◽

Mahmudul Hasan ◽

...

Keyword(s):

Genetic Algorithm ◽

Renewable Energy ◽

Environmental Assessment ◽

Energy System ◽

Hybrid Renewable Energy System ◽

Renewable Energy System ◽

Multi Objective Genetic Algorithm ◽

Remote Island ◽

Hybrid Renewable Energy

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Comparing the cost of electricity sourced from a fuel cell-based renewable energy system and the national grid to electrify a rural health centre in India: A case study

Renewable Energy ◽

10.1016/j.renene.2011.03.041 ◽

2011 ◽

Vol 36 (11) ◽

pp. 2978-2983 ◽

Cited By ~ 44

Author(s):

Suresh Munuswamy ◽

Keiko Nakamura ◽

Ajitha Katta

Keyword(s):

Renewable Energy ◽

Fuel Cell ◽

Rural Health ◽

Health Centre ◽

Energy System ◽

Rural Health Centre ◽

Cost Of Electricity ◽

Renewable Energy System ◽

The Cost

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Modified Farmland Fertility Optimization Algorithm for Optimal Design of a Grid-connected Hybrid Renewable Energy System with Fuel Cell Storage: Case Study of Ataka, Egypt

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2019.0100817 ◽

2019 ◽

Vol 10 (8) ◽

Author(s):

Ahmed A. Zaki Diab ◽

Sultan I. ◽

Hamdy M. ◽

Yahia B.

Keyword(s):

Renewable Energy ◽

Fuel Cell ◽

Optimal Design ◽

Optimization Algorithm ◽

Energy System ◽

Hybrid Renewable Energy System ◽

Renewable Energy System ◽

Hybrid Renewable Energy ◽

Cell Storage

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100% Renewable Energy Grid for Rural Electrification of Remote Areas: A Case Study in Jordan

Energies ◽

10.3390/en13184908 ◽

2020 ◽

Vol 13 (18) ◽

pp. 4908

Author(s):

Loiy Al-Ghussain ◽

Mohammad Abujubbeh ◽

Adnan Darwish Ahmad ◽

Ahmad M. Abubaker ◽

Onur Taylan ◽

...

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Storage System ◽

Energy System ◽

Energy Storage System ◽

High Energy ◽

Levelized Cost Of Electricity ◽

Hybrid Renewable Energy System ◽

Renewable Energy System

Many developing countries suffer from high energy-import dependency and inadequate electrification of rural areas, which aggravates the poverty problem. In this work, Al-Tafilah in Jordan was considered as a case study, where the technical, economic, and environmental benefits of a decentralized hybrid renewable energy system that can match 100% of the city demand were investigated. A tri-hybrid system of wind, solar, and hydropower was integrated with an energy storage system and optimized to maximize the match between the energy demand and production profiles. The optimization aimed at maximizing the renewable energy system (RES) fraction while keeping the levelized cost of electricity (LCOE) equal to the electricity purchase tariff. The techno-economic analysis showed that the optimal system in Al-Tafilah comprises a 28 MW wind system, 75.4 MW PV, and 1 MW hydropower, with a 259 MWh energy storage system, for which a RES fraction of 99% can be achieved, and 47,160 MtCO2 are avoided yearly. This study can be easily extended to other rural cities in Jordan, as they have higher renewable energy system (RES) potential. The presented findings are essential not only for Jordan’s planning and economy-boosting but also for contributing to the ongoing force against climate change.

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