@article { author = {Heidarpour, Fariba and shahgholian, Ghazanfar}, title = {Stability Improvement of Hydraulic Turbine Regulating System Using Round-Robin Scheduling Algorithm}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {1-7}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88584}, abstract = {The sustainability of hydraulic turbines was one of the most important issues considered by electrical energy provider experts. Increased electromechanical oscillation damping is one of the key issues in the turbines sustainability. Electromechanical oscillations, if not quickly damp, can threaten the stability of hydraulic turbines and causes the separation of different parts of the network form each other, specifically ejecting the generators from the turbine. In this paper, a Round-robin scheduling algorithm was used based on a neural network and simulations were investigated by several methods. Thus, using the designed Round-robin scheduling algorithm, we can find three parameters simultan­eously. So optimal outputs can determine by these three parameters, which would be investigated as the optimal output range. In other words, besides using other algorithms capability, it can eliminate some of their disadvantages. The Round-robin scheduling algorithm is more suitable for large and extensive systems, due to reducing the number input variables and have a non-linear and resistant structure at the same time, This algorithm can actually use for optimizing any other controlling methods. }, keywords = {Stability,Hydraulic Turbine Regulating System,Round-Robin Schesuling Algorithm}, url = {https://www.jree.ir/article_88584.html}, eprint = {https://www.jree.ir/article_88584_801282c9ef9e9bfc2d43624a7daa5e72.pdf} } @article { author = {Moein, Marzieh and Pahlavan, Somayeh and Jahangiri, Mehdi and Alidadi Shamsabadi, Akbar}, title = {Finding the Minimum Distance from the National Electricity Grid for the Cost-Effective Use of Diesel Generator-Based Hybrid Renewable Systems in Iran}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {8-22}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88377}, abstract = {The electricity economy and its excessive consumption have become one of the main concerns of the Iranian government for many years. This issue, along with recent droughts, shows the need to use renewable energy that is free and clean and does not require water. In addition, due to the high cost of cable-laying and maintenance of power lines, it is not at all an option at all distances over the development of the national electricity grid. Therefore, it is important to find a distance for farther distances so that the use of renewable energy systems can be superior to the national electricity grid. According to related studies conducted so far, nothing has been done in this regard in Iran untill private-sector investors realize that, for what distances from the national grid, the network development is not cost-effective compared to using renewables. Therefore, in the present work, by using NASA's wind and solar data, 102 stations in Iran were investigated using the HOMER software. The studied system is a solar-wind one backed up by batteries and diesel generator for emergency conditions. The results showed that the average total net present cost of the solar-wind hybrid system in Iran was to provide a daily average electricity load of 5.9 kWh of a residential building with a peak load of 806 W equal to $ 12415, which could on average provide 95.3% of the building's needs by renewable energy. The average minimum distance from the national grid is 593 m for the cost-effective use of renewable energy.}, keywords = {Diesel generator,PV,Wind Turbine,cost of energy}, url = {https://www.jree.ir/article_88377.html}, eprint = {https://www.jree.ir/article_88377_2a8f156f384547a36af364655ed4ddfd.pdf} } @article { author = {Safari, Hediyeh and Ahmadi Boyaghchi, Fateme}, title = {Parametric Assessment of a Novel Geothermal Multi-Generation Equipped with Dual-Organic Rankine Liquefied Natural Gas Regasification Cycle Using Advanced Exergy and Exergoeconomic-Based Analyses}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {23-34}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88487}, abstract = {This research is concerned with the design and analysis of a geothermal based multi-generation system by applying both conventional and advanced exergy and exergoeconomic concepts. The proposed energy system consists of a dual-organic Rankine cycle (ORC) to vaporize liquefied natural gas (LNG) and produce electricity. A proton exchange membrane(PEM) electrolyzer is employed to produce hydrogen by receiving the power and coolant heat waste of dual ORC. Moreover, cooling effect is produced during LNG regasification by utilizing the cryogenic energy of LNG. Parametric studies are conducted to assess the effects of substantial input parameters, namely turbine 1 inlet pressure, mass rate of upper cycle, geothermal mass flow rate, on the various parts of exergy destruction and cost rates within the major components.}, keywords = {Geothermal Energy,dual-ORC,Hydrogen production,advanced exergy,advanced exergoeconomic}, url = {https://www.jree.ir/article_88487.html}, eprint = {https://www.jree.ir/article_88487_09fe792acaa0b9be80c3c459431abbb4.pdf} } @article { author = {Jahangiri, Mehdi and Alidadi Shamsabadi, Akbar and Saghaei, Hamed}, title = {Comprehensive Evaluation of Using Solar Water Heater on a Household Scale in Canada}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {35-42}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88491}, abstract = {Canadian researchers are now trying to exploit much more energy from solar sources, hydropower, wind, and biomass. Given the fact that reducing the carbon pollutant level is a political priority in Canada, this paper studies the feasibility of providing sanitary hot water and space heating demands of a four-member family in 10 provinces in this country. The feasibility analysis was performed by T*SOL Pro 5.5 software, and radiation data were obtained by MeteoSyn software. Results indicated that the most suitable station in terms of using solar water heater was Regina, which supplied 35 % of the total heat load for space heating and sanitary hot water purposes. This accounted for 5074 kWh of heat for space heating (25 % of demand) and 3112 kWh energy for sanitary hot water (94 % of demand) using a 40 m2 solar collector. In addition, results are indicative of an annual amount of saving up to 2080 kg of CO2 in the Regina station and an annual reduction of 984 m3 in natural gas for this station. In conclusion, Canada has a potentially alluring market to utilize solar water heaters for providing sanitary hot water for the residential sector.}, keywords = {Solar Water Heater,Buffer tank,Heating load,Average daily consumption,Heated useable area}, url = {https://www.jree.ir/article_88491.html}, eprint = {https://www.jree.ir/article_88491_51a9a7966f493d8992890ecd5bfcf104.pdf} } @article { author = {Rastikerdar, Alireza}, title = {Estimation and Modeling of Biogas Production in Municipal Landfill}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {43-50}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88511}, abstract = {The municipal solid waste in Landfill is transformed into landfill gas during a biochemical conversion process called bio-degradation. Gas release from landfills has potentially different environmental effects; therefore, assessing and forecasting the rate of production and release of gas from landfill sites is important for designing these sites and for the successful exploitation of gases as energy sources. In this study, by using LandGEM model, in the span of 2018-2037, the amount of gases produced from the municipal landfill of Sirjan, Iran has been predicted. According to the results, the largest amount of landfill gas emission will be in 2038, a year following the last year of disposal of the waste to the landfill. The total amount of produced gas, carbon dioxide, methane, and NMOCs will be 1.219E+05, 8.932E+04, 3.255E+04, and 1.399E+03 tons per year in 2038 for Sirjan. In the next step, the LandGEM outputs were imported into OpenLCA software. The health and environmental effects of landfill gas emissions were evaluated by USEtox and traci method, respectively, in this software. According to the USEtox method, the value of total health effects was obtained as 0.032496 CTUh; in addition, by using the traci method, the most environmental burden falls in the impact categories of global warming, photochemical ozone formation, ecotoxicity, acidification, respiratory effects. By making sound and suitable plans as of this 20-year period and implementing tube in this place, greenhouse gas emissions to the atmosphere can probably be prevented. It is also suggested that landfill gases be used to supply energy to the Sirjan recycling plant.}, keywords = {Biogas,landGEM model,OpenLCA software,USEtox,TRACI}, url = {https://www.jree.ir/article_88511.html}, eprint = {https://www.jree.ir/article_88511_bbe6a5873ca34bee8f1aaf50a990519f.pdf} } @article { author = {Kuhe, Aondoyila and Terhemba Achirgbenda, Victor and Agada, Mascot}, title = {Global Solar Radiation Prediction for Makurdi, Nigeria Using Feed Forward Backward Propagation Neural Network}, journal = {Journal of Renewable Energy and Environment}, volume = {5}, number = {1}, pages = {51-55}, year = {2018}, publisher = {Materials and Energy Research Center (MERC) Iranian Association of Chemical Engineers (IAChE)}, issn = {2423-5547}, eissn = {2423-7469}, doi = {10.30501/jree.2018.88512}, abstract = {The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial neural network model for prediction of global solar radiation in Makurdi, Nigeria (7.7322  N long. 8.5391  E) using MATLAB 2010a Neural Network toolbox. The training and testing data were obtained from the Nigeria metrological station (NIMET), Makurdi. Five meteorological input parameters including maximum and temperature, mean relative humidity, wind speed, and sunshine hour were used, while global solar radiation was used as the output of the network. During training, the root mean square error, correlation coefficient and mean absolute percentage error (%) were 0.80442, 0.9797, and 3.9588, respectively; for testing, a root mean square value, correlation coefficient, and mean absolute percentage error (%) were 0.98831, 0.9784, and 5.561, respectively. These parameters suggest high reliability of the model for the prediction of solar radiation in locations where solar radiation data are not available.}, keywords = {Artificial Neural Network,Makurdi,ground solar radiation,Feedforward Neural Network}, url = {https://www.jree.ir/article_88512.html}, eprint = {https://www.jree.ir/article_88512_08a5841e573b61fd671b7148145428ab.pdf} }