scholarly journals SMART VILLAGE STRATEGY AS A PROSPECTIVE DIRECTION FOR THE DEVELOPMENT OF ENERGY INDEPENDENT VILLAGE TERRITORIES

Author(s):  
Ilona Yasnolob ◽  
Yana Radionova ◽  
Eugen Bereznytsky

The article provides a scientific and theoretical justification of new business models and structures of energy infrastructure development. It is determined that with the increase of decentralization of energy production more and more communities and enterprises can play a certain role in the energy system. It is noted that the first step towards building a community energy system is the process of uniting and coordinating stakeholders to build a legal, administrative and managerial structure. In rural areas, the community's energy initiative has been found to increase economic sustainability and lead to social innovation, increase the number of people who can access the benefits of renewable energy and energy efficiency through the Smart Village strategy approach. The initiation and implementation of Smart Village strategies can be based on existing initiatives and can be funded from a variety of public and private sources. Rural communities can include one or more settlements, without any restrictions on administrative boundaries or population. It has been proven that in rural areas, the community energy initiative through the Smart Village strategy approach increases economic sustainability and leads to social innovation, increases the number of people who can access the benefits of renewable energy and energy efficiency. Smart Villages develop and implement their strategy to improve their economic, social and environmental conditions, relying on a participatory responsibility approach, in particular by mobilizing solutions offered by digital technologies. Local energy generation means that profits and energy costs do not flow from the region, and can help reduce energy costs in the long run, while stimulating the emergence of local value chains. The main purpose of the infrastructure is to enable the generation of energy at the local level, which will ensure the concentration of energy costs in the region to reduce energy costs in the long run, while stimulating the emergence of local value chains. The article gives examples of effective implementation strategies Smart Village in the European Union.

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1110 ◽  
Author(s):  
Yunesky Masip ◽  
Anibal Gutierrez ◽  
Joel Morales ◽  
Antonio Campo ◽  
Meyli Valín

Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is proposed in this study for Valparaiso, Chile. The study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors. An optimization model proposed in the literature was modified, and a subsequent spatial–temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it was used to determine the energy potential of each of the isolated areas, identifying those areas in which the SIRES could be implemented as a sustainable solution. The design simulates the cost of the initial investment and energy generation in the chosen areas. The study also includes the selection of different system components and the use of the general model to determine the optimal combination of energy subsystems for isolated areas with the aim of minimizing the cost of energy generations. Finally, an economic evaluation showed that the use of a SIRES based mainly on solar energy supported by biomass, biogas, and mini-wind power costs approximately three times less than extending the electricity grid network.


2021 ◽  
Vol 10 (4) ◽  
pp. 667-686
Author(s):  
Akinola Sunday Oladeji ◽  
Mudathir Funsho Akorede ◽  
Salihu Aliyu ◽  
Abdulrasaq Apalando Mohammed ◽  
Adebayo Wahab Salami

There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.000880) obtained from the HOMER® optimization tool. Also, the LCOE with the proposed approach was calculated at $0.417/kWh, which is lower than the $0.444/kWh obtained from HOMER®. From environmental perspective, it is found that while 141,370.66 kg of CO2 is saved in the base year, 183,206.51 kg of CO2 is saved in the ninth year.The study concluded that the approach is computationally efficient and performed better than HOMER® for this particular problem.The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Muhammad Zeeshan Malik ◽  
Vineet Tirth ◽  
Amjad Ali ◽  
Ajmal Farooq ◽  
Ali Algahtani ◽  
...  

In an attempt to meet the global demand, renewable energy systems (RES) have gained an interest in it due to the availability of the resources, especially solar photovoltaic system that has been an importance since many years because of per watt cost reduction, improvement in efficiency, and abundant availability. Photovoltaic system in remote and rural areas is very useful where a grid supply is unavailable. In this scenario, power electronic converters are an integral part of the renewable energy systems particularly for electronic devices which are operated from renewable energy sources and energy storage system (fuel cell and batteries). In this article, a new topology of charge pump capacitor (CPC) which is based on high voltage gain technique DC-DC boost converter (DCBC) with dynamic modeling is proposed. To testify the efficacy of the introduced topology, a prototype has been developed in a laboratory, where input was given 10VDC and 80VDC output voltage achieved at the load side. Furthermore, the experimental result shows that the voltage stress of MOSFET switches is very less in comparison with the conventional boost converter with the same parameters as the proposed converter.


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