An Environmentally-Friendly Tourist Village in Egypt Based on a Hybrid Renewable Energy System––Part Two:  A Net Zero Energy Tourist Village

Diab, Fahd; Lan, Hai; Zhang, Lijun; Ali, Salwa

doi:10.3390/en8076945

Cited by 20 publications

(10 citation statements)

References 39 publications

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“…It could be considered that on a sunny day there will be no problems to obtain the irradiation intensity required to generate the desired power using photovoltaic panels [11]. On the other hand, during cloudy days' low measurements were obtained, which would not generate enough power in the solar panels.…”

Section: Methodsmentioning

confidence: 99%

Autonomous Installations for Monitoring the “Protector Prosperina“ Forest

et al. 2019

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Within the city of Guayaquil, the Protector Prosperina Forest is located, which protects an area rich in biodiversity. To prevent visitors from damaging the forest, the Polytechnic community has established a tourism intervention plan based on sustainability criteria, generating responsible and ecological tourism. Therefore, the project aims to improvement of spaces, signage, and construction of energy systems using renewable energy for lighting and loading of electronic devices, will also, serve as logistical technical support for the operation of the sensor network and information acquisition for the monitoring of diversity forest through audio and video, especially for the protection of those species that are in danger of extinction. In this initiative to raise awareness and promote the protection of the forest and the sustainable use of its resources, autonomous photovoltaic stations have been installed in 5 strategic locations for the development of the aforementioned activities.

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Section: Methodsmentioning

confidence: 99%

Autonomous Installations for Monitoring the “Protector Prosperina“ Forest

et al. 2019

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“…Cheng et al [5] proposed a constant volume allocation method of mixing wind and photovoltaic systems by introducing an innovative probabilistic power flow algorithm. Fahd et al [6] proposed an optimal solution of photovoltaic/wind/diesel/battery to maximize the proportion of renewable energy and minimize greenhouse gas emissions, while Hong et al [7] determined the optimal capacity allocation between wind, photovoltaic, and diesel generation in independent power systems using a genetic algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios

Yang

Tan

et al. 2018

Energies

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To alleviate the shortcomings of large-scale grid connections for clean energy, which require stable thermoelectric units to provide backup services, a stable cooperative alliance among different energy types of power sellers must be established. Consequently, a reasonable method to distribute income is required, due to different contributions of each entity in the alliance. Therefore, this paper constructs a comprehensive correction algorithm for income distribution using an improved Shapely value method. We analyze the operating mode of the power seller, and establish the net income calculation model under both independent and alliance operations. We then establish an alliance operation optimization model that considers the constraints of unit output, as well as the balance between supply and demand, with the goal of maximizing income. Finally, an industrial park in a province of northern China is taken as an example to verify the model’s practicability and effectiveness. The results show that the power sales alliance can effectively promote clean energy consumption. The maximum reduction in thermal power generation and CO2 is 8510 MW and 684.515 tons, respectively. We apply the algorithm to income distribution and find that the thermal power seller’s income increased by ¥1,463,870, which enhances the stability of the alliance. Therefore, our income distributing optimization model guarantees the interests of each participant to the greatest extent, and serves as an important reference for income distribution.

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“…However, there are several approaches, which have been employed regarding the HRES on land; some of the new approaches have been published in 2015 [14][15][16][17][18]. These approaches are mainly focused on how to get the optimal system from different HRES configurations that can reduce the amount of GHG emissions besides achieving least cost of energy (COE) and net present cost (NPC) [19,20].…”

Section: Introductionmentioning

confidence: 99%