
AIP » Journal of Renewable and Sustainable Energy
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Journal of Renewable and Sustainable Energy is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science communities, including resource assessment, analysis, and forecasting. Starting with volume 12, the journal will increasingly focus on discoveries related to weather-dependent renewable generation (solar and wind).
AIP » Journal of Renewable and Sustainable Energy
2d ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
The use of renewable energy, notably solar and wind energy, has grown exponentially in Brazil. Consumers can generate their energy using renewable sources, whether interconnected to the distribution system (on-grid) or not (off-grid). In this paper, a fuzzy method is developed for the recommendation of solar and wind sources, for any location in the Brazilian territory. In many aspects, it can be viewed as a representation of human decision-making using sets and inference rules and also can be with vagueness and uncer ..read more
AIP » Journal of Renewable and Sustainable Energy
6d ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
Large eddy simulation (LES) of the atmospheric boundary layer (ABL) flow over complex terrain is presented with a validation using meteorological tower (met-tower) data through an improved neutral stability sampling approach. The proposed stability sampling procedure includes a condition based on the most-likely occurrence time-periods of the neutral ABL and reduces the variabilities of the conditional wind statistics calculated at the met-towers in comparison to our previous work. The ABL flow simulations are carried ..read more
AIP » Journal of Renewable and Sustainable Energy
1w ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023 ..read more
AIP » Journal of Renewable and Sustainable Energy
1w ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
In this paper, an optimal operation strategy of a nuclear-renewable hybrid energy system (N-R HES), in conjunction with a district heating network, is developed within a comprehensive multi-timescale electricity market framework. The grid-connected N-R HES is simulated to explore the capabilities and benefits of N-R HES of providing energy products, different reserve products, and thermal products. An N-R HES optimization and control strategy is formulated to exploit the benefits from the hybrid energy system in terms ..read more
AIP » Journal of Renewable and Sustainable Energy
2w ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
Renewable energy sources have been growing worldwide and solar energy is a significant part of such sources. An essential step in planning studies, including the problem of optimal location and sizing of photovoltaic (PV) generators, is estimating how much energy the panels will generate over time. For that, two aspects must be considered: the stochastic nature of the input variables and the way to calculate the generator's output power. A brief literature review identified 12 approaches to determine the PV output pow ..read more
AIP » Journal of Renewable and Sustainable Energy
3w ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 1, January 2023.
Reliable short-term wind-power forecasting is crucial for the safe operation of power systems that accommodate large amount of wind power. With the development of large-scale wind power bases, wind power spatiotemporal correlations of multiple wind farms (WFs) can be used to improve short-term wind power prediction accuracy and efficiency. However, the time-varying and coupling characteristics of wind power spatiotemporal correlations present significant challenges for the accurate prediction of multi-WF power. In t ..read more
AIP » Journal of Renewable and Sustainable Energy
3w ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 1, January 2023.
The deposition mechanism of dust on photovoltaic modules plays a key role in predicting the dust amount, determining dust removal techniques, and cleaning frequency. In this paper, a prediction model for the adhesion and erosion of dust particles was established to address the uneven dust distribution on photovoltaic modules. The proposed model was validated through an experiment of dust deposition, which was set in the low-speed section of a wind tunnel. Three conditions of the dust deposition process were numerica ..read more
AIP » Journal of Renewable and Sustainable Energy
1M ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 1, January 2023.
Against the background of seeking to achieve carbon neutrality, relationships among renewable-energy companies around the world have become multiple and complex. In this work, the Pearson, Kendall, tail, and partial correlation coefficients were applied to 51 global companies—including solar and wind firms, independent power plants, and utilities—to explore the linear, nonlinear, extreme-risk, and direct relations between them. Sample data from 7 August 2015 to 6 August 2021 were considered, and three sub-periods we ..read more
AIP » Journal of Renewable and Sustainable Energy
1M ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 1, January 2023.
As the wind industry develops larger turbines for offshore deployment, the problems with station keeping systems are exacerbated. As turbines increase in size, so do the loads on the turbine. Meanwhile, many offshore sites available for leasing occur in intermediate water depths (55–85 m), which will appear ever smaller relative to the increasing platform size of floating offshore wind turbines. This complicates the process of designing mooring systems for these larger systems and emphasizes the importance of having ..read more
AIP » Journal of Renewable and Sustainable Energy
1M ago
Journal of Renewable and Sustainable Energy, Volume 15, Issue 1, January 2023.
A comprehensive Quality Assurance (QA) process was implemented on the meteorological measurements and power output of the neighboring wind turbine at the Wind Energy Institute of Canada's wind farm on Prince Edward Island. The data, obtained from May 2013 to September 2021, include wind power, speed, direction, temperature, pressure, and relative humidity, averaged over 10 min. The first QA step was the detection of erroneous values due to well-known causes, such as the icing of the cup anemometers, the wake of the ..read more