scholarly journals An Economic and sustainable planning of Bhasan Char as an Exclusive tourism spot with off-grid SMART Green Energy System

2020 ◽  
Vol 19 (1) ◽  
pp. 7-18
Author(s):  
Taskina Nasrin ◽  
Mohammad Mohiuddin Uzzal

Bhasan char is a coastal island at Hatiya Upzilla of Noakhali District. It is a single char which has been uncovered from the Bay of Bengal a few years back. An emergency humanitarian project implemented by the Bangladesh government at this coastal island “Bhasan Char”, from September 2017, to temporarily rehabilitate a portion of incoming Rohingya refugees before they can repatriate to their homeland, Myanmar. Under this project, Government of Bangladesh (GoB) carried out land development, construction of embankment as well as other infrastructures. Upon repatriation of Rohingya's to Myanmar, we can use the developed land & surroundings as exclusive tourist zone. This paper is an outline to establish Bhasan Char as an exclusive tourist spot and a feasibility analysis of an off-grid hybrid energy generation system for this proposed tourism spot. Here, we had conducted a hypothetical zonal design, energy estimation, off-grid energy distribution, energy generation and a sustainable tariff plan for this exclusive zone in modular basis.

2018 ◽  
Vol 171 ◽  
pp. 01004 ◽  
Author(s):  
Hussein Ibrahim ◽  
Mazen Ghandour ◽  
Georges El-Jamal

The renewables energies are being used to reduce the environmental pollution, combat the climate change and burning of fossil fuels. For remote or decentralized areas, where grid connection is very complex, renewable energy generation system can be a reliable and optimized source of energy. Moreover, wind-diesel-solar hybrid system technology promises lots of opportunities in remote areas which are far from the main grid and are supplied by diesel gensets. This paper is based on the analysis of a hybrid energy system for optimization. The analysis of the hybrid system is realized in the HOMER software package. The HOMER software was utilized as the assessment tool with modeling performed with hourly data of wind speed, solar radiation and load. In this study, the remote village of Tuktoyaktuk situated in Northwest Territories of Canada has been taken for the discussion of the optimization analysis of a hybrid energy generation system.


2017 ◽  
Vol 50 (7-8) ◽  
pp. 159-168 ◽  
Author(s):  
Yavuz Bahadır Koca ◽  
Yüksel Oğuz ◽  
Ahmet Yönetken

In this proposal, microcontroller-based energy flow control was designed in order to effectively and efficiently enable the use of energy sources in a hybrid energy generation system including wind, solar, and hydrogen energy. It was assumed that the hybrid energy generation system is dynamic during the design of the microcontroller-based energy flow control. A wind–solar energy generation system was determined as the base load power plant. Depending on the demand, the battery group and fuel cell were activated effectively. If an energy surplus occurred, it was stored in battery groups and transformed into hydrogen energy via a hydrogen generator simultaneously. In addition to providing energy sustainability, a constant active status of the energy storage group was prevented and the physical life of the group was prolonged by means of the microcontroller-based control system. If consumer demand could not be met by the main energy sources including wind and solar energy, the battery groups and fuel cell were activated and provided the energy sustainability. After a certain level of charge was reached in the battery group, it was deactivated via the control system in order to prevent unnecessary use of energy. By means of the microcontroller-based control system, the usage of energy generated with the hybrid energy generation system was analysed according to its efficiency.


2020 ◽  
Vol 32 ◽  
pp. 100570
Author(s):  
Benyoh Emmanuel Kigha Nsafon ◽  
Abdulhameed Babatunde Owolabi ◽  
Hemen Mark Butu ◽  
Jong Wook Roh ◽  
Dongjun Suh ◽  
...  

2013 ◽  
Vol 805-806 ◽  
pp. 1515-1518
Author(s):  
Yu Lin Juan ◽  
Yi Lin He ◽  
Chun Ming Chen ◽  
Tsair Rong Chen

To increase the development and popularization of the Green Energy Generation System (GEGS), this paper aims to develop a multi-input isolated power converter, which could be coordinated on a green-energy-based DC bus. The proposed converter is integrated with commercial grid and batteries, to achieve the grid energy supplement and battery-based emergency backup power supply, respectively. The operational principle of proposed converter is presented, there are three operation mode and its simulation result are illustrated as well.


2021 ◽  
Vol 9 ◽  
Author(s):  
Shiyu Ji ◽  
Yi Sun ◽  
Lin Gao ◽  
Huaizhi Yang ◽  
Wanqing Jia ◽  
...  

To deal with the uncertainties of wind power and load residing in the power supply reliability model, an interval reliability evaluation method is proposed by combining the wind power generation and energy storage system (ESS). Firstly, the interval power supply reliability evaluation model, which belongs to an interval mixed integer program (IMIP), is established based on the interval variables. Secondly, the IMIP model is transformed into the deterministic optimization model under two extreme circumstances by utilizing the possibility degree theory of interval numbers. The maximum power supply probability, considering the wind power interval to meet the load demand interval, is sought by optimizing outputs of the ESS and generators, i.e., the upper boundary of the load shedding is the smallest. Finally, the states of wind turbines and generators are generated based on sequential Monte Carlo simulation, and the reliability of the hybrid energy generation system is evaluated by calculating the loss of load expectation, expected energy not supplied, and maximum power supply probability, which provides a basis for establishing interval optimal allocation model of energy storage. IEEE RTS-24 test system is utilized to verify the performance of the proposed method, and the model is solved by the CPLEX 12.7 solver. The simulation results demonstrate the effectiveness and applicability of the proposed method.


2021 ◽  
Vol 7 ◽  
Author(s):  
Ioanna Aslanidou ◽  
Moksadur Rahman ◽  
Valentina Zaccaria ◽  
Konstantinos G. Kyprianidis

The energy generation landscape is changing, pushed by stricter regulations for emissions control and green energy generation. The limitations of renewable energy sources, however, require flexible energy production sources to supplement them. Micro gas turbine based combined heat and power plants, which are used for domestic applications, can fill this gap if they become more reliable. This can be achieved with the use of an engine monitoring and diagnostics system: real-time engine condition monitoring and fault diagnostics results in reduced operating and maintenance costs and increased component and engine life. In order to allow the step change in the connection of small engines to the grid, a fleet monitoring system for micro gas turbines is required. A proposed framework combines a physics-based model and a data-driven model with machine learning capabilities for predicting system behavior, and includes a purpose-developed diagnostic tool for anomaly detection and classification for a multitude of engines. The framework has been implemented on a fleet of micro gas turbines and some of the lessons learned from the demonstration of the concept as well as key takeaways from the general literature are presented in this paper. The extension of fleet monitoring to optimal operation and production planning in relation to the needs of the grid will allow the micro gas turbines to fit in the future green energy system, connect to the grid, and trade in the energy market. The requirements on the system level for the widespread use of micro gas turbines in the energy system are addressed in the paper. A review of the current solutions in fleet monitoring and diagnostics, generally developed for larger engines, is included, with an outlook into a sustainable future.


Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 67-78
Author(s):  
Aleksey A. Miroshnichenko ◽  
◽  
Evgeniy V. Solomin ◽  
Evgeniy M. Gordievsky ◽  
Askar Z. Kulganatov ◽  
...  

One of the priority objectives faced by the Russian electric power industry is supplying power to decentralized areas. These areas include the regions of the Far North and the Far East, which are characterized by remoteness from the unified energy system, low population density in vast territories, weak transport links, and undeveloped industry. In view of these features, it can be concluded that it is economically unprofitable to connect such consumers to the unified energy system. The use of renewable energy sources is the most promising solution to this problem. This, in particular, was noted by the President of Russia V.V. Putin during the “Russian Energy Week”: ‘Wind power, of course holds promise as a method for solving the problem of supplying electricity to the population, but it would be more correct to talk about the integrated use of alternative energy sources....’ Recently, the idea of using hybrid energy generation systems has become a priority issue in considering the electrification of isolated regions. Calculations have shown that such systems are more reliable and economically profitable in comparison with the generation of energy from only one of the sources. The use of combined energy generation systems is dictated by several factors, the main of which is that individual sources of renewable energy are variable in nature, which entails difficulties in ensuring uninterrupted power supply. Such problems do not arise in the case of using hybrid systems. The possibility of using a load distribution control strategy for a hybrid system consisting of photovoltaic panels, a diesel generator, and storage batteries, and operating according to a specified load schedule with the known battery charge/discharge cycles is considered. It is pointed out that the HOMER software package is a suitable tool for carrying out an optimization analysis regarding the technical, economic, and environmental factors of the proposed systems, taking into account the load variation pattern, battery charge/discharge cycles and distributed load. By using this software, it is possible to select the most optimal control strategy for combined power supply systems that allows, along with improving their reliability, better efficiency and longer service life to be obtained.


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