JournalTOCs

Journal of Renewable and Sustainable Energy
Journal Prestige (SJR): 0.44

Citation Impact (citeScore): 1
Number of Followers: 14

Hybrid journal (It can contain Open Access articles)
ISSN (Online) 1941-7012
Published by AIP

[28 journals]

Optimal capacity of variable-speed pumped storage for wind power
consumption based on double-layer stochastic programming
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  Authors: Weiwei Yao, Wei Li, Ruikuo Liu, Yong Sun
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  Configuring a certain capacity of energy storage for the power system can effectively improve the reliability of the power supply and the level of wind power consumption. This paper takes pumped storage investment cost and wind power consumption demand as the optimization goal, realizes the coordinated operation of pumped storage units and thermal power units, and considers the uncertainty of wind power and load, the multi-timescale characteristics of different types of units and load demand response, and establishes a multi-timescale pumped storage capacity optimization model based on stochastic programming. The model consists of inner and outer layers. The outer layer is investment decision-making, which decides the allocation of pumped storage capacity. The inner layer is for optimization decision-making, and the system optimization operation is carried out in three stages: day-ahead short-term optimization, intraday ultra short-term optimization, and real-time optimization. An example of a typical scenario is established, and the planning results verify the effectiveness of the proposed model and method. The thermal-wind-hydro power system's total cost decreases first and then increases with the increase in the installed capacity of the pumped storage, and the curtailment rate gradually decreases. The total cost increases faster when the pumped-storage installed capacity is larger than optimal. For a pumped-storage power station of the same capacity, variable-speed pumped storage is better than fixed speed pumped storage in reducing the wind curtailment rate. The main reason is that its output is continuously adjustable under the condition of the variable-speed water pump, which is especially suitable for energy storage at night when wind power is high.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-04-13T12:01:45Z
  DOI: 10.1063/5.0135560
A thermal framework for preliminary evaluation of the development of
dye-sensitized solar cells in temperate and warm climates
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  Authors: I. Vera-Wilimek, G. Urquiza-Beltrán, D. Seuret-Jiménez, M. Montiel-González
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  Environmental conditions influence the development of solar cell technologies; variables such as solar irradiation, wind speed, and ambient temperature influence the operating temperature of the cells, which affect their electrical performance; however, this effect may differ according to the solar technology. In the case of Dye-Sensitized Solar Cells (DSSCs), it is necessary to generate more studies to evaluate their behavior in different types of climates under real conditions, as it is known that, in comparison with Silicon cells, DSSCs show a lower decrease in their efficiency values when are subjected to high operating temperatures. Nevertheless, temperature is cited as the most important external variable affecting the stability of DSSCs. Therefore, in this paper, a new thermal numerical model is proposed to obtain the operating temperature contours of the DSSCs under real environmental conditions for two types of climates representative of Mexico (temperate and warm climate). The operating temperatures have been investigated as a function of solar irradiance, ambient temperature, wind speeds, and varying different electrolytes. It concludes that the efficiency gap between DSSCs and Silicon cells decreases as the operating temperature increases; moreover, an efficiency of 12.2% in DSSCs and 25.09% in Silicon cells were presented with 300 K of operating temperature, and an efficiency of 11.02% in DSSCs and 13.7% in Silicon cells were presented with 400 K of operating temperature. This concludes that DSSC technology might be an appropriate alternative for temperate and hot climates. DSSCs show a decrease in the efficiency of 9.76% compared to Silicon solar cells, which show a decrease in 50.1%.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-04-13T12:00:25Z
  DOI: 10.1063/5.0130568
Development status, policy, and market mechanisms for battery energy
storage in the US, China, Australia, and the UK
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  Authors: Jin Sun, Jing Liu, Yangguang Wang, Huihong Yuan, Ze Yan
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  Energy storage plays a crucial role in the safe and stable operation of power systems under high renewable energy penetration. Unlike conventional energy sources, the special physical characteristics of battery energy storage make it challenging to apply in practice. Some countries have been developing battery energy storage for a long time, and it is worthwhile to learn from the policies and market mechanisms for the development of battery energy storage to clear the obstacles for large-scale development and participation in the power market. This study focuses on the current status of battery energy storage, development policies, and key mechanisms for participating in the market and summarizes the practical experiences of the US, China, Australia, and the UK in terms of policies and market mechanisms. Then, the challenges of the current development of battery energy storage are analyzed, and suggestions are made in terms of policies and market mechanisms, so as to provide a reference for the development of battery energy storage in other countries or regions.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-04-12T02:30:43Z
  DOI: 10.1063/5.0146184
Thermodynamic analysis of a typical compressed air energy storage system
coupled with a fully automatic ejector under slip pressure conditions
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  Authors: Yufei Zhang, Erren Yao, Ruixiong Li, Hao Sun, Xin He, Huanran Wang, Huijuan Xu
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  To solve the problem of energy loss caused by the use of conventional ejector with fixed geometry parameters when releasing energy under sliding pressure conditions in compressed air energy storage (CAES) system, a fully automatic ejector capable of adjusting key geometric parameters to maintain the maximum ejection coefficient by an automatic control device according to the running parameters is proposed in this paper. By establishing a thermodynamic model of a typical CAES system coupled with a fully automatic ejector, the effect of the fully automatic ejector on the system performance is studied under sliding pressure conditions. The results show that the fully automatic ejector has the most sensitive ejection coefficient with the variation of high-pressure gas pressure. The cycle efficiency and exergy efficiency of the proposed system were 56.91% and 52.64%, respectively. Compared with the coupled conventional ejector, the cycle efficiency, exergy efficiency, and output power of the system were increased by 0.93%, 0.81%, and 4.59%, respectively. The exergy loss of the combustion chamber is the largest among the components within the system, accounting for 65.2% of the total exergy loss, followed by the heat exchanger, which accounts for 13.8% of the exergy loss, while the fully automatic ejector has the smallest exergy loss, accounting for only 0.8% of the total exergy loss. When the extraction point is at the first stage of the turbine, the system cycle efficiency and external energy efficiency vary parabolically with the extraction pressure, but the system performance will change abruptly when the pressure at the extraction point approaches 1.5 MPa. The system performance index is more sensitive to the change of turbine inlet temperature than other variables. Reducing the heat exchanger heat transfer temperature difference and increasing the fully automatic ejector outlet pressure are the effective ways to improve system performance.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-04-12T01:39:14Z
  DOI: 10.1063/5.0139196
Enhancement of Sapindus trifoliatus (soapnut) biodiesel yield, engine
performance, and reduce emissions using Mg-doped CaO nanocatalyst
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  Authors: Muninathan K, Venkata Ramanan M
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  The use of biodiesel can reduce dependence on diesel, and the compression ignition (CI) engine's performance with biodiesel is substantially low but could be improved by emulsifying nano-additives. Biodiesel production and performance in CI engines using a homogeneous catalyst is less efficient, expensive, and time-consuming. In this research article, magnesium-doped calcium oxide (Mg–CaO), a novel heterogeneous nanocatalyst, was synthesized and then used to generate biodiesel from Sapindus trifoliatus seed oil. The catalyst surface characterization was analyzed using the surface imaging method, energy dispersive x-ray analysis, x-ray diffraction analysis, and Fourier-transform infrared spectroscopy. Then, the nanocatalyst (30 ppm Mg–CaO) is emulsified in its nano form with the Sapindus trifoliatus biodiesel (STBD) at B25 (STB25% + diesel75%) blend and investigated in the CI engine. The highest yield of 91.75% of biodiesel was achieved at 58 °C, 73 min, 4% catalyst concentration (w/w), and 15:1 methanol:oil molar ratio. The performance results were obtained using STBD25, STBD25 blended with CaO nano-additives (STBD25 + 30 ppm CaO) and STBD25 blended with Mg-doped CaO nano-additives (STBD25 + 30ppm Mg–CaO) are compared to the baseline values obtained from diesel. From the comparison, it is revealed that STBD25 + 30ppm Mg–CaO has a greater influence on combustion, performance, and emission characteristics as follows: (i) in-cylinder pressure increased by 3.22%, 6.24%, and 9.02%, (ii) heat release rate increased by 1.68%, 16.69%, and 32.5%, (iii) brake thermal efficiency is found to be increased by 4.56%, 8.23%, and 11.79%, (iv) hydrocarbon (HC) decreased by 21.12%, 6.06%, and 11.43%, (v) carbon monoxide (CO) decreased by 0.04%, 0.01%, and 0.01%, and (vi) smoke decreased by 22.61%, 8.11%, and 14.25%, compared with diesel, STBD25 + 30 ppm CaO, and STBD25 at full load conditions. Oxides of nitrogen (NOx) released while using STBD25+Mg-doped CaO in CI engine were observed to decrease compared with STBD25 and STBD25+CaO (by 10.72% and 18.64%) and an increase compared with diesel (by 8.64%).
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-04-12T01:39:10Z
  DOI: 10.1063/5.0142654
Economic assessment and comparative analysis of hydrogen transportation
with various technical processes
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  Authors: Miao Li, Pingwen Ming, Ran Huo, Hailin Mu
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  This paper took hydrogen transportation as a breakthrough to make a comprehensive study on the economic assessments of hydrogen delivery pathways, so as to promote the low-cost and large-scale hydrogen energy development. A specific transportation model for gas-hydrogen trailers, liquid-hydrogen tank trucks, and hydrogen pipelines with various technical levels was developed to explore the cost reduction pathways. To verify the feasibility of the model, a case study was conducted in Shanghai, China, to obtain more realistic cost data. Accordingly, the gas-hydrogen trailer was found to be feasible for short distances, while the liquid-hydrogen tank truck was economic for long distances. By increasing the hydrogen storage pressure and liquefaction scale, the transportation cost of gas-hydrogen trailers and liquid-hydrogen tank trucks could be significantly reduced. However, their economic advantage could not surpass that of pipelines when its utilization rate is high. By improving the utilization rate of hydrogen pipelines, the transportation cost could be significantly reduced. In addition, we attempted to determine the more economical and feasible option between long-distance hydrogen transportation and local hydrogen production. With the large-scale utilization of renewable energy resources, only when the electricity price is reduced to approximately 0.1–0.2 yuan/kWh and hydrogen production efficiency is increased above 60%–80%, local hydrogen production can be more economical than long-distance hydrogen transportation.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-30T10:54:08Z
  DOI: 10.1063/5.0141098
Optimal allocation and energy management of a wind–hydrogen generation
system equipped with the speed regulating differential mechanism
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  Authors: Wen-liang Yin, Lin Liu, Yue Wang, Zi-wei Wang, Jun-hui Li
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  The hybrid drive wind turbine (WT) can be friendly connected to the power grid by using a speed regulating differential mechanism (SRDM) instead of partially or fully rated converters, which has been considered as a promising solution for the stable consumption of large-scale wind power generation. To further improve the on-grid performance of hybrid drive WTs, this paper develops a multi-source power generation scheme, in which a hydrogen storage system (HSS) is integrated for mitigating the wind power generation intermittencies. The overall architecture and kinematic principles of the proposed wind–hydrogen generation system, called SRDM-based WT with HSS, are first analyzed. Then, the graphical descriptions of mathematical models are finalized via the Energetic Macroscopic Representation method, by which the physical characteristics and energy flow relationships are revealed. To ensure the economical and stable operation of the proposed wind–hydrogen scheme, an effective optimal allocation framework, considering the uncertainties from wind power output and load demand, is presented to HSS, targeting the maximum annual revenue. The effects of several key HSS parameters on the capacity allocation results are also investigated. Moreover, aiming at the different system working modes, an energy management approach is synthesized to achieve the interaction analysis and power supervision between energy sources and storage elements. Finally, experimental and simulation case studies are demonstrated. Results illustrate the effectiveness of the proposed approaches and the optimal performance for uninterrupted on-grid operation of the proposed wind–hydrogen energy system.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-30T10:54:06Z
  DOI: 10.1063/5.0134039
Exergetic and environmental life cycle assessments for waste cooking oil
microemulsion biofuel in compression ignition engine
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  Authors: Plaban Bora, Jyotishmanyu Kakoti, Pranaynil Saikia, Nayan Jyoti Talukdar, Mayur Mausoom Phukan, Dibakar Rakshit
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  Biofuels are considered as the alternative to petrofuels in Compression Ignition (CI) engines. However, investigations on combustion exergy, exergetic life cycle, and environmental impacts are imperative for understanding the sustainability of biofuel in engine applications. In the present study, the sustainability of Waste Cooking Oil (WCO) microemulsion biofuel in CI engines is validated by evaluating the life cycle performances, emission characteristics, and cogeneration potential. The life cycle assessment (LCA) analysis indicated that the environmental impact of fossil resource exploitation could be reduced up to 34% with WCO microemulsion biofuel–petrodiesel blends (WMBDs) in comparison to petrodiesel. Moreover, CO, CO2, and NOx emissions decreased for WMBDs at different load conditions. In addition, WMBDs exhibited higher cylinder pressure and the highest net heat release rate (NHRRmax) than petrodiesel. WMBDs showed the net system exergy output, relative shares of brake power, and exhaust exergy comparable to petrodiesel, justifying the cogeneration potential of the formulated WCO microemulsion blends. In addition, WMBDs exhibited higher utilization efficiency over petrodiesel in exergetic life cycle assessment analysis. Furthermore, the resource utilization efficiency and environmental sustainability could be increased up to 27.76% and 26.62%, respectively, with waste heat recovery (cogeneration) facility for WMBDs. CI engines (both with and without integrated cogeneration facility) fueled with WMBDs outperformed petrodiesel in terms of environmental sustainability.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-29T01:17:29Z
  DOI: 10.1063/5.0143658
A procedure set to construct the optimal energy saving retrofit strategy
for old residential buildings in China
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  Authors: Peng Wang, Cheng Ji, Ping Yu, Lei Huang
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  A key strategy for lowering emissions and reducing the effects of climate change is to execute energy-saving retrofits in residential buildings. Despite extensive research on different retrofit pathways for building energy efficiency, the current retrofitting of the aged housing stock in China is still constrained by several factors, including occupant willingness, government financial situation, and low energy prices, so retrofitting projects are almost entirely government-led and most of the solutions of existing studies are not applicable. Therefore, a comprehensive optimization framework for low-budget compliance retrofit strategies in the Chinese context is urgently needed. In order to fill this gap, this study established a set of procedures for developing an optimal energy-saving retrofit scheme in old residential buildings in Nanjing city. The results showed that the optimal scheme can reduce 18.52% of residential building energy consumption in five central districts of Nanjing City, and the total energy saving is about 260.43 GW h. The study also showed that improving wall insulation and heating, ventilation, and air conditioning systems were the most efficient retrofit measures but came at a high cost. Setting a reasonable air conditioning target temperature was further identified as the most cost-effective retrofit measure. This study provided a mechanism for district-level retrofit planners to formulate a strategy that may take the performance of retrofitting on the environment and the economy into account while still adhering to code requirements.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-24T12:00:20Z
  DOI: 10.1063/5.0134055
Profit improvement strategy of electric vehicle charging stations sharing
carbon trading revenue
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  Authors: Hao Qiang, Wenqi Tang, Yanchun Hu, Xiaopeng Sun, Jianfeng Zheng
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  With the development of electric vehicles (EVs), a large number of electric vehicle charging stations (CSs) have been rapidly rolled out to meet the charging demand of EVs. However, high construction costs and long payback periods motivate investigations to improve the profits of CSs. Considering the profit improvement of CSs and carbon emission reductions, this paper first proposes a carbon revenue model for CSs to participate in the carbon trading market. A charging price strategy is proposed to share the carbon revenue with EV users to reduce the charging cost of users, increase the charging income of CSs, and reduce carbon emissions. By describing the EV users' response to the charging price based on the fuzzy theory, this paper establishes the charging behavior model of EV users and solves the profit optimization of the dynamic charging price model by particle swarm optimization algorithm. Finally, the results of the simulation case demonstrate the effectiveness of the proposed strategy. A sensitivity analysis of various grid power purchase prices illustrates the difference between the fixed and dynamic charging price methods. The dynamic charging price method is superior, and under the power purchase price of 0.5 yuan/kWh, it can lower EV user charging costs by 16.25%, improve CS profits by 30.09%, and reduce carbon emissions by 74.68%.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-21T11:22:45Z
  DOI: 10.1063/5.0134546
Optimized allocation of renewable energy quota in Chinese provinces
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  Authors: Fugui Dong, Yuzhu Hou, Wei Zhang
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  A fair and efficient renewable energy quota allocation scheme is essential for China to implement the Renewable Portfolio Standards policy. Therefore, based on the principles of fairness and efficiency, this paper comprehensively considers the differences among provinces and then proposes and adopts an improved zero-sum gains data envelopment analysis method to reallocate quotas. Furthermore, for verifying the superiority of the proposed method, this paper establishes a composite index based on the Gini coefficient and the Theil index to compare the rationality of the distribution results. Finally, this paper discusses the relevant advice for the development of renewable energy. The results validate that the proposed method is superior to the traditional method. Additionally, according to the final quota distribution scheme, there are fewer renewable energy quotas in the northern provinces and more in the southern provinces. The quota of most provinces is lower than 50 × 109 kWh, while Guangdong, Sichuan, Yunnan, Jiangsu, and Hunan are the five provinces with the most renewable energy quota of over 100 × 109 kWh. In general, this study provides a more rational renewable energy quota redistribution approach, which will help the government to establish an efficient and fair mechanism of renewable energy quota allocation.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-20T11:15:13Z
  DOI: 10.1063/5.0129872
Fuzzy logic for renewable energy recommendation and regional consumption
forecast using SARIMA and LSTM
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  Authors: Waldemar Bonventi, Eduardo P Godoy
  Abstract: 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 uncertainty, being very useful to idealize recommendation systems. Georeferenced and historical data were obtained from 2003 to 2019 on solar irradiation and wind speed, and electricity consumption until 2021. With the energy generation data from photovoltaic panels and wind turbines, this method allows us to propose installed areas by each technology and obtain the membership of fuzzy recommendation between solar, wind, both solar and wind, unfeasible or hybrid. In addition, a long short-term memory neural network and the seasonal autoregressive integrated moving average model were used to predict consumption for more than 30 months ahead, allowing the recalculation of fuzzy memberships and updating the installation area by respective technologies. As a result, the recommendation is given as the installed area (m2) of each technology per km2 of consumer units, as a function of the regional consumption density (MWh/km2). It can be concluded that it is possible to plan the viability of the type of renewable energy used, according to regional characteristics for smaller consumer units (farms, cooperatives, industries, consortiums), given the diversity of these factors in the huge Brazilian territory. This methodology is in line with the Brazilian Normative Resolution that authorizes the generation of energy by landowners.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-17T02:40:53Z
  DOI: 10.1063/5.0127408
Large eddy simulation of atmospheric boundary layer flow over complex
terrain in comparison with RANS simulation and on-site measurements under
neutral stability condition
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  Authors: Yi Han, Michael Karl Stoellinger, Huaiwu Peng, Lihui Zhang, Wei Liu
  Abstract: 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 out over a potential wind site with a prominent hill based using the OpenFOAM-based simulator for on/off-shore wind farm applications by applying the Lagrangian-averaged scale-invariant dynamic sub-grid scale turbulence model. A low-dissipative scale-selective discretization scheme for the non-linear convection term in the LES governing equation is adopted implicitly to ensure both the second-order accuracy and bounded solution. The LES inflow is generated through a precursor method with a “tiling” approach based on the flow driving parameters obtained from a corresponding Reynolds-averaged Navier–Stokes (RANS) simulation. Overall, the averaged wind velocity profiles predicted by the LES approach at all met-tower locations show a similar tendency as the RANS results, which are also in reasonable agreement with the met-tower data. An obvious difference in wind speed standard deviation profiles is seen between LES and RANS, especially at regions downstream of the hill edge, where the LES shows under-predicted results at the highest measurement levels in comparison to the tower data. The computational costs of the LES are found to be about 20 times higher than the RANS simulations.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-13T11:22:58Z
  DOI: 10.1063/5.0133585
Publisher's Note: “Dynamic correlations of renewable-energy companies:
Evidence from a multilayer network model” [J. Renewable Sustainable
Energy 15, 015904 (2023)]
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  Authors: Cuixia Gao, Yu Mao, Juan Li, Mei Sun, Zhangyi Ji
  Abstract: Journal of Renewable and Sustainable Energy, Volume 15, Issue 2, March 2023.
  
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-09T12:24:59Z
  DOI: 10.1063/5.0147931
Multi-timescale operations of nuclear-renewable hybrid energy systems for
reserve and thermal product provision
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  Authors: Jubeyer Rahman, Jie Zhang
  Abstract: 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 of both energy and ancillary services. A case study is performed on the customized NREL-118 bus test system with high renewable penetrations, based on a multi-timescale (i.e., three-cycle) production cost model. Both day-ahead and real-time market clearing prices are determined from the market model simulation. The results show that the N-R HES can contribute to the reserve requirements and also meet the thermal load, thereby increasing the economic efficiency of N-R HES (with increased revenue ranging from 1.55% to 35.25% at certain cases) compared to the baseline case where reserve and thermal power exports are not optimized.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-08T12:07:07Z
  DOI: 10.1063/5.0138648
A comparative study to determine the photovoltaic annual energy generation
in the Brazilian Northeast
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  Authors: M. R. B. Alencar, B. A. Souza
  Abstract: 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 power. Therefore, this article compares such methods through actual meteorological data and generated energy over 1 year by a solar power plant located in a specific site in the Brazilian Northeast. An analysis is carried out on the influence of correlations between meteorological variables in estimating the generated energy. There is no comparative work in the literature on the analytical models for calculating the PV output power in conjunction with the correlation analysis. As expected, models that consider the influence of ambient temperature on output power performed better than those that do not. How the energy generated by the PV panel is estimated can influence the economic viability of a project since oversizing the PV system entails unnecessary additional costs. Monte Carlo simulations generate data samples used by the studied models for power output calculation. According to our findings, considering the correlation between meteorological variables reduces the error in estimating the generated energy by PV panels.
  Citation: Journal of Renewable and Sustainable Energy
  PubDate: 2023-03-01T01:49:07Z
  DOI: 10.1063/5.0130933