ORIGINAL_ARTICLE
Stability Improvement of Hydraulic Turbine Regulating System Using Round-Robin Scheduling Algorithm
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.
https://www.jree.ir/article_88584_801282c9ef9e9bfc2d43624a7daa5e72.pdf
2018-01-01
1
7
10.30501/jree.2018.88584
Stability
Hydraulic Turbine Regulating System
Round-Robin Schesuling Algorithm
Fariba
Heidarpour
1
Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
AUTHOR
Ghazanfar
shahgholian
shahgholiangh@gmail.com
2
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
LEAD_AUTHOR
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5
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7
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8
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17
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18
Yuan, X., Chen, Z., Yuan, Y., Huang, Y., Li, X. and Li, W., "Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method", Mathematics and Computers in Simulation, Vol. 119, , (Jan. 2016), 18–34. (doi:10.1016/j.matcom.2015.08.020).
19
Chen, Z., Yuan, Y., Yuan, X., Huang, Y., Li, X. and Li, W., "Application of multi-objective controller to optimal tuning of PID gains for a hydraulic turbine regulating system using adaptive grid particle swam optimization", ISA Transactions, Vol. 56, (May 2015), 173–187. (doi:10.1016/j.isatra. 2014.11.003).
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23
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24
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27
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28
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31
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32
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33
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35
ORIGINAL_ARTICLE
Finding the Minimum Distance from the National Electricity Grid for the Cost-Effective Use of Diesel Generator-Based Hybrid Renewable Systems in Iran
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.
https://www.jree.ir/article_88377_2a8f156f384547a36af364655ed4ddfd.pdf
2018-01-01
8
22
10.30501/jree.2018.88377
Diesel generator
PV
Wind Turbine
cost of energy
Marzieh
Moein
marziehmoein74@gmail.com
1
Department of Architecture, Sepehr institute of Higher Educational, Isfahan, Iran
AUTHOR
Somayeh
Pahlavan
somayehp1366@gmail.com
2
Department of Architecture, Sepehr institute of Higher Educational, Isfahan, Iran
AUTHOR
Mehdi
Jahangiri
jahangiri.m@iaushk.ac.ir
3
Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
LEAD_AUTHOR
Akbar
Alidadi Shamsabadi
a.alidadi@srbiau.ac.ir
4
Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
AUTHOR
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1
2. Ebrahimi, S., Jahangiri, M., Raiesi, H.A. and Rahimi Ariae, A., "Optimal planning of on-grid hybrid microgrid for remote island using HOMER software, Kish in Iran", International Journal of Energetica, Vol. 3, No. 2, (2018), 13-21.
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ORIGINAL_ARTICLE
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
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.
https://www.jree.ir/article_88487_09fe792acaa0b9be80c3c459431abbb4.pdf
2018-01-01
23
34
10.30501/jree.2018.88487
Geothermal Energy
dual-ORC
Hydrogen production
advanced exergy
advanced exergoeconomic
Hediyeh
Safari
h.safari@gmail.com
1
Department of Mechanical Engineering, Faculty of Engineering & Technology, Alzahra University, Deh-Vanak, Tehran, Iran
AUTHOR
Fateme
Ahmadi Boyaghchi
aboyaghchi@gmail.com
2
Department of Mechanical Engineering, Faculty of Engineering & Technology, Alzahra University, Deh-Vanak, Tehran, Iran
LEAD_AUTHOR
1. Ratlamwala, T., Dincer, I.T. and Gadalla, M., "Performance analysis of a novel integrated geothermal-based system for multi-generation applications", Applied Thermal Engineering, Vol. 40, (2012), 71-79. (https://doi.org/10.1016/j.applthermaleng. 2012.01.056).
1
2. Coskun, C., Oktay, Z. and Dincer, I., "Thermodynamic analyses and case studies of geothermal based multi-generation systems", Journal of Cleaner Production, Vol. 32, (2012), 71-80. (https://doi.org/10.1016/j.jclepro.2012.03.004).
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3. Ozturk, M. and Dincer, I., "Thermodynamic analyses and case studies of geothermal based multi-generation systems", Applied Thermal Engineering, Vol. 51, (2013), 1235-1244. (https://doi.org/10.1016/j.jclepro.2012.03.004).
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4. Ratlamwala, T. and Dincer, I., "Development of a geothermal based integrated system for building multigenerational needs", Energy and Buildings, Vol. 62, (2013), 496-506. (https://doi.org/10.1016/j.enbuild.2013.03.004).
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5. Al-Ali, M. and Dincer, I., "Energetic and exergetic studies of a multigenerational solar–geothermal system", Applied Thermal Engineering, Vol. 71, (2014), 16-23. (https://doi.org/10.1016/ j.applthermaleng.2014.06.033).
5
6. Suleman, F., Dincer, I. and Agelin-Chaab, M., "Development of an integrated renewable energy system for multigeneration", Energy, Vol. 78, (2014), 196-204. (https://doi.org/10.1016/ j.energy.2014.09.082).
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7. Malik, M., Dincer, I. and Rosen, M.A., "Development and analysis of a new renewable energy-based multi-generation system",Energy, Vol. 79, (2015), 90-99. (https://doi.org/ 10.1016/j.energy.2014.10.057).
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8. Khalid, F., Dincer, I. and Rosen, M.A., "Energy and exergy analyses of a solar-biomass integrated cycle for multigeneration",Solar Energy, Vol. 112, (2015), 290-299. (https://doi.org/10.1016/j.solener.2014.11.027).
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19. Asgari, S., Noorpoor, A.R. and Ahmadi Boyaghchi, F., "Parametric assessment and multi-objective optimization of an internal auto-cascade refrigeration cycle based on advanced exergy and exergoeconomic concepts", Energy, Vol. 125, (2017), 576-590. (https://doi.org/10.1016/j.energy.2017.02.158).
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25. Ahmadi, P., Dincer, I. and Rosen, M.A., "Energy and exergy analyses of hydrogen production via solar-boosted ocean thermal energy conversion and PEM electrolysis",International Journal of Hydrogen Energy, Vol. 38, (2013), 1795-1805. (https://doi.org/10.1016/j.ijhydene.2012.11.025).
25
26. Kelly, S., Tsatsaronis, G. and Morosuk, T., "Advanced exergetic analysis: Approaches for splitting the exergy destruction into endogenous and exogenous parts",Energy, Vol. 34, (2009), 384-391. (https://doi.org/10.1016/j.energy.2008.12.007).
26
27. Tsatsaronis, G. and Park, M.-H., "On avoidable and unavoidable exergy destructions and investment costs in thermal systems", Energy Conversion and Management, Vol. 43, (2002), 1259-1270. (https://doi.org/10.1016/S0196-8904(02)00012-2).
27
28. Tsatsaronis, G., Cziesla, F. and Gao, Z., "Avoidable Thermodynamic Inefficiencies and Costs in Energy Conversion Systems. Part 1: Methodology", Proceedings of ECOS, Vol. 2, (2003), 809-814.
28
29. Vučković, G.D., et al., "Advanced exergy analysis and exergoeconomic performance evaluation of thermal processes in an existing industrial plant", Energy Conversion and Management, Vol. 85, (2014), 655-662. (https://doi.org/ 10.1016/j.enconman.2014.03.049).
29
30. Keçebaş, A. and Hepbasli, A., "Conventional and advanced exergoeconomic analyses of geothermal district heating systems", Energy and Buildings, Vol. 69, (2014), 434-441. (https://doi.org/10.1016/j.enbuild.2013.11.011).
30
31. Anvari, S., Saray, R.K. and Bahlouli, K., "Conventional and advanced exergetic and exergoeconomic analyses applied to a tri-generation cycle for heat, cold and power production", Energy, Vol. 91, (2015), 925-939. (https://doi.org/10.1016/ j.energy.2015.08.108).
31
32. Açıkkalp, E., Aras, H. and Hepbasli, A., "Advanced exergoeconomic analysis of an electricity-generating facility that operates with natural gas", Energy Conversion and Management, Vol. 78, (2014), 452-460. (https://doi.org/ 10.1016/j.enconman.2013.11.003).
32
33. Petrakopoulou, F., Tsatsaronis, G. and Morosuk, T., "Evaluation of a power plant with chemical looping combustion using an advanced exergoeconomic analysis", Sustainable Energy Technologies and Assessments, Vol. 3, (2013), 9-16. (https://doi.org/10.1016/j.seta.2013.05.001).
33
34. El-Emam, R.S. and Dincer, I., "Exergy and exergoeconomic analyses and optimization of geothermal organic Rankine cycle", Applied Thermal Engineering, Vol. 59, (2013), 435-444. (https://doi.org/10.1016/j.applthermaleng.2013.06.005).
34
ORIGINAL_ARTICLE
Comprehensive Evaluation of Using Solar Water Heater on a Household Scale in Canada
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.
https://www.jree.ir/article_88491_51a9a7966f493d8992890ecd5bfcf104.pdf
2018-01-01
35
42
10.30501/jree.2018.88491
Solar Water Heater
Buffer tank
Heating load
Average daily consumption
Heated useable area
Mehdi
Jahangiri
jahangiri.m@iaushk.ac.ir
1
Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
AUTHOR
Akbar
Alidadi Shamsabadi
a.alidadi@srbiau.ac.ir
2
Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
LEAD_AUTHOR
Hamed
Saghaei
h.saghaei@gmail.com
3
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada
AUTHOR
1. Natural Resources Canada, "Energy efficiency trends in Canada 1990 to 2013", Minister of Natural Resources, Canada, (2016).
1
2. Davis, M., Ahiduzzaman, M. and Kumar, A., "Mapping Canadian energy flow from primary fuel to end use", Energy Conversion and Management, Vol. 156, (2018), 178-191. (https://doi.org/10.1016/j.enconman.2017.11.012).
2
3. Environment Canada, "Canada’s emissions trends", Gatineau QC: Minister of the Environment Canada, (2014).
3
4. Jiang, K.J., Tamura, K. and Hanaoka, T., "Can we go beyond INDCs: Analysis of a future mitigation possibility in China, Japan, EU and the US", Advances in Climate Change Research, Vol. 8, No. 2, (2017), 117-122. (https://doi.org/10.1016/ j.accre.2017.05.005).
4
5. Ensing, D. and Snoddon, T., "Canada’s climate policy: promises, expectations and practicalities", Laurier Center for Economic Research & Policy Analysis (LCERPA), Canada, (2016).
5
6. Karunathilake, H., Hewage, K. and Sadiq, R., "Opportunities and challenges in energy demand reduction for Canadian residential sector: a review", Renewable and Sustainable Energy Reviews, Vol. 82, No. 3, (2017), 2005-2016. (https://doi.org/10.1016/ j.rser.2017.07.021).
6
7. Buker, M.S. and Riffat, S.B., "Building integrated solar thermal collectors: A review", Renewable and Sustainable Energy Reviews, Vol. 51, (2015), 327-346. (https://doi.org/10.1016/ j.rser.2015.06.009).
7
8. Bouhal, T., Agrouaz, Y., Allouhi, A., Kousksou, T., Jamil, A., El Rhafiki, T. and Zeraouli, Y., "Impact of load profile and collector technology on the fractional savings of solar domestic water heaters under various climatic conditions", International Journal of Hydrogen Energy, Vol. 42, No. 18, (2017), 13245-13258. (https://doi.org/10.1016/j.ijhydene.2017.03.226).
8
9. Aguilar, C., White, D.J. and Ryan, D.L., "Domestic water heating and water heater energy consumption in Canada", Canadian Building Energy End-Use Data and Analysis Centre, (2005).
9
10. Biaou, A.L. and Bernier, M., "Domestic hot water heating in zero net energy homes", Proceedings of 9th International IBPSA Conference, Montreal, Quebec, (2005), 63-70.
10
11. Fung, A.S. and Gill, G., "Energy and environmental analysis of residential hot water systems: A study for Ontario, Canada", ASHRAE Transactions, Vol. 117, No. 2, (2011), 506-520.
11
12. Picard, D., Bernier, M. and Charneux, R., "Domestic hot water production in a net zero energy triplex in Montreal", Proceedings of 2nd Canadian Solar Buildings Conference, Calgary, (2007), 1–8.
12
13. Sint, N.K.C., Choudhury, I.A., Masjuki, H.H. and Aoyama, H., "Theoretical analysis to determine the efficiency of a CuO-water nanofluid based-flat plate solar collector for domestic solar water heating system in Myanmar", Solar Energy, Vol. 155, (2017), 608-619. (https://doi.org/10.1016/j.solener.2017.06.055).
13
14. Hobbi, A. and Siddiqui, K., "Optimal design of a forced circulation solar water heating system for a residential unit in cold climate using TRNSYS", Solar Energy, Vol. 83, No. 5, (2009), 700-714. (https://doi.org/10.1016/j.solener.2008.10.018).
14
15. Moreau, A. and Laurencelle, F., "Field study of solar domestic water heaters in Quebec", Energy Procedia, Vol. 30, (2012), 1331-1338. (https://doi.org/10.1016/j.egypro.2012.11.146).
15
16. Tanha, K., Fung, A.S. and Kumar, R., "Performance of two domestic solar water heaters with drain water heat recovery units: Simulation and experimental investigation", Applied Thermal Engineering, Vol. 90, (2015), 444-459. (https://doi.org /10.1016/j.applthermaleng.2015.07.038).
16
17. Nikoofard, S., Ugursal, V.I. and Beausoleil-Morrison, I., "An investigation of the technoeconomic feasibility of solar domestic hot water heating for the Canadian housing stock", Solar Energy, Vol. 101, (2014), 308-320. (https://doi.org/10.1016/ j.solener.2014.01.001).
17
18. Edwards, S., Beausoleil-Morrison, I. and Laperrière, A., "Representative hot water draw profiles at high temporal resolution for simulating the performance of solar thermal systems", Solar Energy, Vol. 111, (2015), 43-52. (https://doi.org /10.1016/j.solener.2014.10.026).
18
19. Semple, L.M., Carriveau, R., and Ting, D.S., "Potential for large-scale solar collector system to offset carbon-based heating in the Ontario greenhouse sector", International Journal of Sustainable Energy, Vol. 37, No. 4, (2018), 378-392. (https://doi.org/10.1080/14786451.2016.1270946).
19
20. Ghorab, M., Entchev, E. and Yang, L., "Inclusive analysis and performance evaluation of solar domestic hot water system :A case study", Alexandria Engineering Journal, Vol. 56, No. 2, (2017), 201-212. (https://doi.org/10.1016/j.aej.2017.01.033).
20
21. Narwal, K., Kempers, R., and O'Brien, P.G., "Adsorbent-adsorbate pairs for solar thermal energy storage in residential heating applications: A comparative study", Proceedings of The Canadian Society for Mechanical Engineering International Congress 2018, Toronto, Canada, (2018).
21
22. McNally, J., Baldwin, C. and Cruickshank, C.A., "Using adsorption cooling and thermal solar collection for residential cooling applications in Canada", Proceedings of the ASME 2018, Pittsburgh, PA, USA, (2018).
22
23. Rahmatmand, A., Harrison, S.J. and Oosthuizen, P.H., "Evaluation of removing snow and ice from photovoltaic-thermal (PV/T) panels by circulating hot water", Solar Energy, Vol. 179, (2019), 226-235. (https://doi.org/10.1016/j.solener. 2018.12.053).
23
24. Central Intelligence Agency (CIA), “Country comparison: Population", The world factbook, (2017).
24
25. ITC Immigration and Employment Services, About Canada, http://www.itc-canada.com/About_Canada.htm.
25
26. Natural Resources Canada, "Energy markets fact book 2014–2015", Minister of Natural Resources, Canada, (2014).
26
27. Barrington-Leigh, C. and Ouliaris, M., "The renewable energy landscape in Canada: A spatial analysis", Renewable and Sustainable Energy Reviews, Vol. 75, (2017), 809-819. (https://doi.org/10.1016/j.rser.2016.11.061).
27
28. Natural Resources Canada, "Solar Thermal", Canada, (2018).
28
29. The Solar Design Company, T*SOL Software, https://www.solardesign.co.uk/tsol.php.
29
30. Valentin Software, T*SOL® Pro Version 5.5: Design and simulation of thermal solar systems, https://www.valentin-software.com/sites/default/files/downloads/handbuecher/en/tsol-pro-manual-en.pdf.
30
31. Reindl, D.T., Beckman, W.A. and Duffie, J.A., "Diffuse fraction correlations", Solar Energy, Vol. 45, No. 1, (1990), 1-7. (https://doi.org/10.1016/0038-092X(90)90060-P).
31
32. Kumar, B.S. and Sudhakar, K., "Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India", Energy Reports, Vol. 1, (2015), 184-192. (https://doi.org/ 10.1016/j.egyr.2015.10.001).
32
33. Pahlavan, S., Jahangiri, M., Alidadi Shamsabadi, A. and Khechekhouche, A., "Feasibility study of solar water heaters in Algeria: A review", Journal of Solar Energy Research, Vol. 3, No. 2, (2018), 135-146.
33
ORIGINAL_ARTICLE
Estimation and Modeling of Biogas Production in Municipal Landfill
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.
https://www.jree.ir/article_88511_bbe6a5873ca34bee8f1aaf50a990519f.pdf
2018-01-01
43
50
10.30501/jree.2018.88511
Biogas
landGEM model
OpenLCA software
USEtox
TRACI
Alireza
Rastikerdar
alirezarstkrd@yahoo.com
1
Department of Civil and Environmental Engineering, Sirjan University of Technology, Sirjan, Iran
LEAD_AUTHOR
1. Janke, L., Lima, A.O.S., Millet, M. and Radetski, C.M., "Development and application of a methodology for a clean development mechanism to avoid methane emissions in closed landfills", Environmental Technology,Vol. 34, (2013), 2607-2616. (https://doi.org/10.1080/09593330.2013.781228).
1
2. Lizik, W., Im, J., Semrau, J.D. and Barcelona, M.J., "A field trial of nutrient stimulation of methanotrophs to reduce greenhouse gas emissions from landfill cover soils", Journal of the Air & Waste Management Association,Vol. 63, (2013), 300-309. (https://doi.org/10.1080/10962247.2012.755137).
2
3. Barlaz, M.A., Green, R.B., Chanton, J.P., Goldsmith, C.D. and Hater, G.R., "Evaluation of a biologically active cover for mitigation of landfill gas emissions", Environmental Science & Technology, Vol. 38, (2004), 4891-4899. (https://doi.org/ 10.1021/es049605b).
3
4. Amini, E., Nematollahi, H. and Moradi, N., "Estimation and modeling of biogas production in rural small landfills (Case study: Chaharmahaal and Bakhtiari and Yazd rural areas)", Environmental Energy and Economic Research, Vol. 1, No. 4, (2017), 383-392. (https://doi.org/10.22097/EEER.2018. 122498.1023).
4
5. Fourie, A. and Morris, J., "Measured gas emissions from four landfills in South Africa and some implications for landfill design and methane recovery in semi-arid climates", Waste Management & Research, Vol. 22, No. 6, (2004), 440-53. (https://doi.org/10.1177/0734242X04048332).
5
6. Bruce, N., Ng, K.T.W. and Richter, A., "Alternative carbon dioxide modelling approaches accounting for high residual gases in LandGEM",Environmental Science and Pollution Research, Vol. 1, (2017), 1-15. (https://doi.org/10.1007/s1135).
6
7. Thompson, S., Sawyer, J., Bonam, R.K. and Smith, S., "Modeling landfill gas generation to determine targets and strategies to reduce greenhouse gases from landfills", Journal of Solid Waste Technology and Management., Vol. 34, No. 1, (2008), 27-34.
7
8. Weber, B. and Stadlbauer, E.A., "Sustainable paths for managing solid and liquid waste from distilleries and breweries", Journal of Cleaner Production, Vol. 149, (2017), 38-48. (https://doi.org/ 10.1016/j.jclepro.2017.02.054).
8
9. Pazoki, M., Abdoli, M.A., Karbassi, A., Mehrdadi, N. and Yaghmaeian, K., "Attenuation of municipal landfill leachate through land treatment", Journal of Environmental Health Science and Engineering, Vol. 12, No. 1, (2014) 12. (https://doi.org/10.1186/2052-336X-12-12).
9
10. Danesh, G., Monavari, S.M., Omrani, G.A., Karbasi, A. and Farsad, F., "Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models", Environmental Monitoring and Assessment, Vol. 191, No. 2, (2019), 122. (https://doi.org/10.1007/s1066).
10
11. Vosoogh, A., Baghvand, A., Karbassi, A. and Nasrabadi, T., "Landfill site selection using pollution potential zoning of aquifers by modified DRASTIC method: Case study in Northeast Iran", Iranian Journal of Science and Technology, Transactions of Civil Engineering, Vol. 41, No. 2, (2017), 229-239. (https://doi.org/10.1007/s4099).
11
12. Aydi, A., "Energy recovery from a municipal solid waste (MSW) landfill gas: A tunisian case study", Hydrology: Current Research, Vol. 3, No. 4, (2012), 1-3. (http://dx.doi.org/ 10.4172/2157-7587.1000137).
12
13. Saral, A., Demir, S. and Yıldız, Ş., "Assessment of odorous VOCs released from a main MSW landfill site in Istanbul-Turkey via a modelling approach", Journal of Hazardous Materials, Vol. 168, No. 1, (2009), 338-345. (https://doi.org/ 10.1016/j.jhazmat.2009.02.043).
13
14. Lou, X. and Nair, J., "The impact of landfilling and composting on greenhouse gas emissions: A review", Bioresource Technology, Vol. 100, (2009), 3792-3798. (https://doi.org/ 10.1016/j.biortech.2008.12.006).
14
15. Wangyao, K., Yamada, M., Endo, K., Ishigaki, T., Naruoka, T., Towprayoon, S., Chiemchaisri, C. and Sutthasil, N., "Methane generation rate constant in tropical landfill", Journal of Seismology and Earthquake Engineering, Vol. 1, No. 4, (2010), 181-184. (https://doi.org/ 10.1.1.1006.5051).
15
16. Kritjaroen, T., "Understanding urban governance in the context of public-private partnerships: A case study of solidwaste management in Rayong Municipality", Thailand, Federal Governance, Vol. 8, No. 3, (2011), 1-9.
16
17. Kalantarifard, A., Byeon, E.S., Ki, Y.W. and Yang, G.S., "Monitoring of emission of ammonia, hydrogen sulfide, nitrogen oxide and carbon dioxide from pig house", International Journal of Environmental Monitoring and Analysis, Vol. 1, (2013), 78-83. (https://doi.org/ 10.11648/j.ijema.20130103.11).
17
18. Rezaee, R., "Estimation of gas emission released from a municipal solid waste landfill site through a modeling approach: A case study, Sanandaj, Iran", Journal of Advances in Environmental Health Research, Vol. 2, No. 1, (2014), 83-89. (https://doi.org/ 10.22102/jaehr.2014.40139).
18
19. Omrani, Gh., Mohseni, N., Haghighat, K. and Javid, A., "Technical and sanitary assessment of methane extraction from the landfill site of Shiraz", Environmental Science & Technology, Vol. 4, (2004), 5562.
19
20. Capellia, L., Sironia, S., Del Rossoa, R. and Magnanob. E., "Evaluation of landfill surface emissions", The Italian Association of Chemical Engineering, Vol. 40, (2014), 93-99. (https://doi.org/ 10.3303/CET1440032).
20
21. Deepam, D., Bijoy Kumar, M., Soumyajit, P. and Tushar J., "Estimation of land-fill gas generation from municipal solid waste in Indian Cities", Energy Procedia, Vol. 90, (2016), 50-56. (https://doi.org/10.1016/j.egypro.2016.11.169).
21
22. Vahidi, H. and Rastikerdar, A.R., "Evaluation of the life cycle of household waste management scenarios in moderate Iranian cities: Case study Sirjan city", Environmental Energy and Economic Research, (2018), 1-11. (https://doi.org/ 10.22097/EEER.2018.143477.1032).
22
23. Ghasemzade, R. and Pazoki, M., "Estimation and modeling of gas emissions in municipal landfill (Case study: Landfill of Jiroft city)", Pollution, Vol. 3, No. 4, (2017), 689-700. (https:/dx./doi.org/10.22059/poll.2017.229836.260).
23
24. Mehta, R., Barlaz, M.A., Yazdani, R., Augenstein, D., Bryars, M. and Sinderson, L., "Refuse decomposition in the presence and absence of leachate recirculation", Journal of Environmental Engineering, Vol. 128, No. 3, (2002), 228-236. (https://doi.org/10.1061/(ASCE)0733-9372(2002)128:3(228)).
24
25. Hosseini, S.S., Yaghmaeian, K., Yousefi, N. and Mahvi, A.H., "Estimation of landfill gas generation in a municipal solid waste disposal site by LandGEM mathematical model", Global J. Journal of Environmental Science and Management, Vol. 4, No. 4, (2018), 493-506. (https://dx.doi.org/10.22034/ gjesm.2018.04.009).
25
26. Winter, S., Emara, Y., Ciroth, A., Su, C. and Srocka, M., OpenLCA 1.4-Comprehensive User Manual, GreenDelta GmbH, Berlin, Germany. (2015), 1-81.
26
27. Westh, T.B., Hauschild, M.Z., Birkved, M., Jørgensen, M.S., Rosenbaum, R.K. and Fantke, P., "The USEtox story: A survey of model developer visions and user requirements", The International Journal of Life Cycle Assessment, Vol. 20, No. 2, (2015), 299-310. (https://doi.org/10.1007/s11367-014-0829-8).
27
28. Hauschild, M.Z., Huijbregts, M.A.J., Jolliet, O., MacLeod, M., Margni, M., van de Meent, D., Rosenbaum, R.K. and McKone, T.E., "Building a model based on scientific consensus for life cycle impact assessment of chemicals: The search for harmony and parsimony", Environmental Science & Technology, Vol. 42, No. 19, (2008),7032-7037. (https://doi.org/10.1007/s11367-014-0829-8).
28
29. Huijbregts, M., Hauschild, M., Jolliet, O., Margni, M., McKone, T., Rosenbaum, R.K. and van de Meent, D., "USEtox user manual", USEtox™ Team, Vol. 23, (2010), 1-120.
29
30. Alexandra, B., Bertrand, L., Nicolas, P. and Natalia, B., "A regional approach for the calculation of characteristic toxicity factors using the USEtox model", Science of The Total Environment,Vol. 655, (2019), 676-673. (https://doi.org/ 10.1016/j.scitotenv.2018.11.169).
30
31. Akul, B., Andrea, B. and Bassim Abbassi, E., "Cradle-to-grave life cycle assessment (LCA) of low-impact-development (LID) technologies in southern Ontario", Journal of Environmental Management, Vol. 231, (2019), 98-109. (https://doi.org/ 10.1016/j.jenvman.2018.10.033).
31
32. Antoine, L., Jean, S. and Arnaud, H., "Representativeness of environmental impact assessment methods regarding Life Cycle Inventories", Science of The Total Environment, Vol. 621, (2018), 1264-1271. (https://doi.org/10.1016/j.scitotenv. 2017.10.102).
32
33. Vineet, R. and Prasenjit, M., "Life cycle assessment of defluoridation of water using laterite soil based adsorbents", Journal of Cleaner Production, Vol. 180, (2018), 716-727. (https://doi.org/10.1016/j.jclepro.2018.01.176).
33
ORIGINAL_ARTICLE
Global Solar Radiation Prediction for Makurdi, Nigeria Using Feed Forward Backward Propagation Neural Network
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.
https://www.jree.ir/article_88512_08a5841e573b61fd671b7148145428ab.pdf
2018-01-01
51
55
10.30501/jree.2018.88512
Artificial Neural Network
Makurdi
ground solar radiation
Feedforward Neural Network
Aondoyila
Kuhe
moseskuhe74@gmail.com
1
Department of Mechanical Engineering, University of Agriculture, Makurdi, Nigeria
LEAD_AUTHOR
Victor
Terhemba Achirgbenda
victorterhemba@gmail.com
2
Department of Mechanical Engineering, University of Agriculture, Makurdi, Nigeria
AUTHOR
Mascot
Agada
mascotagada@yahoo.co.uk
3
Department of Mechanical Engineering, University of Agriculture, Makurdi, Nigeria
AUTHOR
1. Sueyoshi, T. and Goto, M., "Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis", Energy Economics, Vol. 42, (2014), 271-288. (DOI: 10.1016/j.eneco.2014.01.004).
1
2. Zhao, H.-X. and Magoulès, F., "A review on the prediction of building energy consumption", Renewable and Sustainable Energy Reviews, Vol. 16, No. 6, (2012), 3586-3592. (DOI :10.1016/j.rser.2012.02.049).
2
3. Islam, S.M., Kabir, M.M. and Kabir, N., "Artificial neural networks based prediction of insolation on horizontal surfaces for Bangladesh", CIMTA: Procedia Technology, Vol. 10, (2013),482-4914. (DOI:10.1016/j.protcy.2013.12.386).
3
4. Kalogirou, S. and Sencan, A., Artificial intelligence techniques in solar energy applications, solar collectors and panels, theory and applications, Dr. Reccab Manyala Ed., ISBN: 978-953-307-142-8, InTech, (2010). (DOI: 10.5772/10343).
4
5. Tymvios, F.S., Jacovides, C.P., Michaelides, S.C. and Scouteli, C., "Comparative study of Angström’s and artificial neural networks’ methodologies in estimating global solar radiation", Solar Energy, Vol. 78, (2005), 752–762. (DOI: 10.1016/j.solener.2004.09.007).
5
6. Hernandez Neto, A. and Sanzovo Fiorelli, F.A., "Comparison between detailed model simulation and artificial neural network for forcasting building energy comsuption", Energy and Buildings, Vol. 40, (2008), 2169-2176. (DOI:10.1016 /j.enbuild.2008.06.013).
6
7. Neelamegama, P. and Amirtham, V.A., "Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms", Journal of Applied Research and Technology, Vol. 14 ,(2016), 206–214. (DOI:10.1016/ j.jart.2016.05.001).
7
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