Special Issue No. – 9, May, 2020

Conference on “Emerging Trends in Applied Science, Engineering and Technology”

Organized by MDSG Research Group, Malaysia

THE IMPACT OF THE APPLICATION OF THE NATIONAL PROGRAM OF RURAL DEVELOPMENT ON AGRICULTURAL HOLDINGS IN ROMANIA RESTRUCTURING MEASURES FOR AGRICULTURAL HOLDINGS THROUGH NRDP 2007-2013

Authors:

Adrian Turek Rahoveanu,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00016

Abstract:

After joining the European Union, Romania benefited from over € 8 billion in funding for 2007-2013, plus national co-financing, funds that had to be directed to rural areas and agriculture to solve the multiple problems with which they are facing. To this end, in the present paper I proposed to analyze the impact of the implementation of measures under the National Rural Development Program on agricultural holdings in Romania during the programming period 2007-2013. I analyzed the situation of agriculture: the rural population and human resource, the number and size of farms and the average size of farms, then briefly presented the measures 141 and 142 for the restructuring of agricultural holdings through the National Rural Development Program 2007-2013 and finally we highlighted the impact of Measures 141 and 142 at the end of the 2007-2013 programming period as well as the extent to which the objectives of these measures were met.

Keywords:

Agrarian structures,measures 141 and 142,sustainable growth,competitiveness,

Refference:

I. *** Ancheta Structurală în Agricultură 2013 – rezultate finale, INS 2014
II. *** Eurostat – Agriculture, forestry and fishery statistics – 2013 edition
III. *** MADR, Direcția Generală de Dezvoltare Rurală AM PNDR, Situația proiectelor depuse la data de 30.12.2015, PNDR 2007-2013
IV. *** Programul Naţional de Dezvoltare Rurală 2007-2013
V. Alboiu Cornelia (2009) – Agricultura de Subzistență în România: un modus vivendi? Seminar 111 EAAE-IAAE
VI. Dobre Ramona, Cîrstea A. C. (2013) – Land property structure – a limiting factor in strengthening the agricultural holdings, Scientific Papers Series Management , Economic Engineering in Agriculture and Rural Development, Vol. 13, Issue 2
VII. Done I., Luminita Chivu, Andrei, J. V., Mirela Matei (2012), Using labor force and green investments in valuing the Romanian agriculture potential, Journal of Food, Agriculture & Environment Vol.10 (3&4 ): 737 – 741
VIII. Popescu M. (2004) – Eficiența economică, socială și ecologică în contextual dezvoltării durabile a agriculturii și integrării în Uniunea Europeană,
IX. Turek Rahoveanu A. (2007) – Evoluția formelor de proprietate funciară în agricultura României, Editura Cartea Universitară, ISBN 978-973-731-493-2
X. Turek Rahoveanu A., Stoian Elena, Turek Rahoveanu Magdalena (2013) – Analysis of the exploitation structures and land management in Romania vs. European Union; International Journal of Sustainable Economies Management, Vol.2, Issues 4, pg. 47-54, ISSN 2160 -9659
XI. Zahiu Letiţia, Dachin Anca, Turek Rahoveanu A. (2007) – Factorii care influenţează performanţa economică în fermele mari din România, Dezvoltarea durabilă a spaţiului rural”, ASE, Facultatea de Economie Agroalimentară şi a Mediului, Bucureşti, 15-16 iunie 2007, volum ISBN 978-606-505-025-9
XII. Zahiu Letiția, Toma Elena, Dachin Anca, Alexandri Cecilia, (2010) – Agricultura în economia României : între așteptări si realități, Editura Ceres, ISBN: 978-973-40-0841-4

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RAINFALL RUN OFF MODELLING OF SUNGAI PAHANG BY USING HEC HMS

Authors:

Munira Mohammad,Nor Faiza Abd Rahman,Low Yik Han,Mohamad Shakri Mohmad Shariff,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00017

Abstract:

Flash flood happens when the drainage or river could not cope with the sudden increase in rainfall volume. In Malaysia, flash flood often occurs in the developed cities such as Kuala Lumpur and Kuantan. Water yield or reservoir storage is the collection and storing of water during high-water period and to be used during low-water period. It preserves the excess water where or else it will result in water wastage and potentially cause a flood disaster to happen. The capacity of the water yield has to be sufficiently large to sustain the amount of increasing rain water without overflowing. The study aims to investigate the rainfall runoff relationship of Sungai Pahang River. Study period of this hydrological modelling was selected from year January 2013 to December 2017. The hydrological modelling using HEC-HMS of Sungai Pahang resulted with a correlation of 0.65 and Nash-Sutcliffe coefficient of 0.41. Clark unit hydrograph in transform method and recession constant in baseflow method have great impact on the simulation result.

Keywords:

HEC HMS,rainfall runoff relationship,Sungai Pahang River ,

Refference:

I. Ab. Ghani, A., Chang, C. K., Leow, C. S., & Zakaria, N. A. (2012). Sungai Pahang digital flood mapping: 2007 flood. International Journal of River Basin Management, 10(2), 139–148. https://doi.org/10.1080/15715124.2012.680022
II. Aminuddin AB. G., A., Chang, C. K., Leow, C. S., & Zakaria, N. A. (2012). Sungai Pahang digital flood mapping: 2007 flood. International Journal of River Basin Management, 10(2), 139–148.
III. Azam, M.; San Kim, H.; Maeng, S.J. Development of flood alert application in Mushim stream watershed Korea. Int. J.Disast. Risk Re. 2017, 21, 11-26.
IV. Banitt, A. Simulating a century of hydrographs e Mark Twain reservoir. In Proceeding of 2nd Joint Federal Interagency Conference, Las Vegas, NV, USA, 27 June–1 July, 2010
V. Department of Irrigation and Drainage (DID) (2009). Retrieved from https://www.water.gov.my/#?mid=209
VI. Environmental and Water Resources Instit. Curve number hydrology: State of the practice. Hawkins, R.H., Ward, T.J., Woodward, D.E., Van Mullem, J.A., Eds; American Society of Civil Engineers: Reston, VA, USA, 2009.
VII. Gupta, H.V.; Kling, H.; Yilmaz, K.K.,; Martinez, G.F. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. J. Hydrol.2009, 377, 80–91.
VIII. Hamby, D. A review of techniques for parameter sensitivity analysis of environmental models. Environ. Monit. Assess. 1994, 32, 135–154.
IX. Kirpich, Z. Time of concentration of small agricultural watersheds. Civil Engineer.1940, 10, 362.
X. Nash, J.E.; Sutcliffe, J.V. River flow forecasting through conceptual models part I—A discussion of principles. J. Hydrol.1970, 10, 282–290.
XI. Neter, J.; Wasserman, W.; Kutner, M.H. Applied statistical models. Richard D. Irwin, Inc.: Burr Ridge, IL, 1990.
XII. Suhaila, J., S. MohdDeni, W.Z. Wan Zin& A.A., Jemain. (2010). Trends in Peninsular Malaysia Rainfall Data during The Southwest Monsoon and Northeast Monsoon Seasons: 1975-2004. SainsMalaysiana, 39:533-542.
XIII. Yilma, H.M.; Moges, S.A. Application of semi-distributed conceptual hydrological model for flow forecasting on upland catchments of Blue Nile River Basin, a case study of GilgelAbbay catchment. Catchment Lake Res. 2007, 6, 1–200.
XIV. Yusop, Z.; Chan,C.; Katimon, A. Runoff characteristics and application of HEC-HMS for modeling stormflow hydrograph in an oil palm catchment. Water Sci. Technol. 2007, 56, 41–48.

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NUTRIENT CONCENTRATION AND LOAD ANALYSIS AT LANGAT RIVER BASIN

Authors:

Nor Faiza Abd Rahman,Juliza Mohamad,Munira Mohammad,Mohamad Shakri Mohamad Shariff,Vin Cent Tai, Khairi Khalid,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00018

Abstract:

Water is one of the most important elements required by all living organisms. However, uncontrolled developments and human activities have significantly affected the water quality in the river. Excessive nutrient discharge into the river will lead to many problems such as eutrophication, apart from disturbing the water supply. This study has been conducted to determine the nutrient concentration and nutrient loads in the Langat River Basin in terms of total phosphorus (TP) and total nitrogen (TN), as well as their relationship with the rainfall. Four stations from the Langat River Basin upstream have been selected for this study. The water samples were collected weekly for six months spanning both dry and wet seasons. Two standard methods for examination of water and wastewater were chosen to determine the TN and TP concentration in the water sample. Method 8190 was used for TP while, TN was measured using Method 10071. The results showed that the nutrients in the water bodies generally were influenced by the land use, climate and stream flow of the river. The TN concentration for all four stations were within the USEPA limit. On the contrary, the TP concentration for all stations exceeded the USEPA limit, indicated that limiting nitrogen condition might happen and triggered algae bloom.

Keywords:

Nutrient,Total Phosphorus,Total Nitrogen,Langat River Basin,,

Refference:

I. D. C. Whitehead, Nutrient Elements in Grassland: soil-plant-animal relationship. New Yory, USA: CABI Publishing, 2000.
II. D. D. Tilman, Nutrient Pollution of Coastal Rivers, Bays, and Seas. Washington: Ecological Society of America, 2000.
III. H. Juahir, S. M. Zain, M. K. Yusoff, T. Hanidza, A. M. Armi, M. E. Toriman, M. Mokhtar, “Spatial water quality assessment of Langat River Basin (Malaysia) using environ metric techniques”, Environ Monitoring and Assessment, Vol: 173, Issue: 1-4, pp. 625-641, 2011.
IV. H. Li, J. Hun-Wei, L. M. Cai, “Nutrient Load Estimation Methods For Rivers”, International Journal of Sediment Research, Vol: 18, Issue: 4, pp. 346-351, 2003.
V. Helsinki Commission, Eutrophication in the Baltic Sea – An integrated thematic assessment of the effects of nutrient enrichment. Finland: Baltic Marine Environment Protection Commission, 2009.
VI. K. McArthur, M. Clark, Nitrogen and Phosphorus Loads to Rivers in the Manawatu-Wanganui Region: An Analysis of Low Flow State: Technical Report to Support Policy Development. Horizons Regional Council, 2007.
VII. M. K. Lindenberg, The Quantity, Characteristics, Source and Nutrient Input Of Groundwater Seepage Into The Indian River Lagoon. Florida: University of Florida, 2001.
VIII. N. M. Pieterse, W. Bleuten, S. E. Jørgensen, “Contribution of point sources and diffuse sources to nitrogen and phosphorus loads in lowland river tributaries”, Journal of Hydrology, Vol: 271, Issue: 1-4, pp. 213-225, 2003.
IX. S. Bricker, B. Longstaff, W. Dennison, A. Jones, K. Boicourt, C. Wicks, J. Woerner, “Effects of nutrient enrichment in the nation’s estuaries: A decade of change”, Harmful Algae, Vol: 8, Issue: 1, pp. 21–32, 2008.
X. United States Environmental Protection Agency, Nitrogen and Phosphorus Pollution Data Access Tool. Retrieved November 1, 2014, from: http://www2.epa.gov.
XI. World Health Organization and European Commission, Eutrophication and health. Luxembourg: Office for Official Publications of the European Communities, 2002.
XII. Y. P. Sheng, E. A. Yassuda, C. Yang, Modeling the Impact of Nutrient Load Reduction on Water Quality and Sea grass in Roberts Bay and Little Sarasota Bay. Florida: Coastal & Oceanographic Engineering Department, University of Florida, 1995.

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NI-DOPED 〖TIO〗_2 THIN FILM FOR PHOTO DEGRADATION OF METHYLENE BLUE BY SOL-GEL ELECTROPHORESIS DEPOSITION

Authors:

Yoshiki kurokawa,Dang Trang Nguyen,Kozo Taguchi,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00019

Abstract:

Titanium oxide () is used as photocatalyst. It has wide band gap of 3.2eV, so it can absorb only ultraviolet light. In this paper, we tried to make visible light response for by doping Ni using Sol-Gel method. For photocatalyst experiments (methylene blue degradation), we made some sample types from handmade powder, handmade Ni-doped powder, and commercially powder (P25). Based on experimental results, the Ni-doped powder mixed with P25 powder can absorb the low range of visible light, as a result, it achieved highest methylene blue degradation ability.

Keywords:

Photocatalyst,Ni-doped TiO_2 powder,Sol-Gel method,Electrophoresis deposition,

Refference:

I. Ahmed (2012). Synthesis and structural features of mesoporousNiO/TiO2 nanocomposites prepared by sol–gel method for photodegradation of MB dye. Journal of Photochemistry and Photobiology A: Chemistry 238, 63– 70

II. Ali SepharShikoh, Zubair Ahmad, FaridTouati, R.A. Shakoor, Shaheen A. Al-Muhtaseb (2017). Optimization of ITO glass/TiO2 based DSSC photo-anodes through electrophoretic deposition and sintering techniques. Ceramics International 43, 10540–10545

III. Guoguang Liu, Xuezhi Zhang, YajieXu, XinshuNiu, LiqingZheng, Xuejun Ding (2005). The preparation of Zn2+-doped TiO2 nanoparticles by sol–gel and solid phase reaction methods respectively and their photocatalytic activities. Chemosphere 59, 1367–1371

IV. Ho Chang, Hung-Ting Su, Wei-An Chen, K. David Huang, Shu-HuaChien, Sih-Li Chen, Chih-Chieh Chen (2010). Fabrication of multilayer TiO2 thin films for dye-sensitized solar cells with high conversion efficiency by electrophoresis deposition. Solar Energy 84, 130–136

V. HU Hai, XIAO Wen-jun, YUAN Jian, SHI Jian-wei, CHEN Ming-xi, SHANG GUAN Wen-feng (2007). Preparations of TiO2 film coated on foam nickel substrate by sol-gel processes and its photocatalytic activity for degradation of acetaldehyde. Journal of Environmental Sciences 19, 80–85
VI. Hua Yu, Xin-Jun Li, Shao-Jian Zheng, Wei Xu (2006). Photocatalytic activity of TiO2 thin film non-uniformly doped by Ni. Materials Chemistry and Physics 97, 59–63

VII. Ibram Ganesh, A. K. Gupta, P. P. Kumar, P. S. C. Sekhar, K. Radha, G. Padmanabham, and G. Sundararajan (2012). Preparation and Characterization of Ni-Doped TiO2 Materials for Photocurrent and Photocatalytic Applications. The Scientific World Journal 1-16

VIII. Jian-Hui Sun, Shu-Ying Dong, Jing-LanFeng, Xiao-Jing Yin, Xiao-Chuan Zhao (2011). Enhanced sunlight photocatalytic performance of Sn-doped ZnO for Methylene Blue degradation. Journal of Molecular
IX. Catalysis A: Chemical 335, 145–150

X. Jixiang Chen, Na Yao, RijieWang, Jiyan Zhang (2009). Hydrogenation of chloronitrobenzene to chloroaniline over Ni/TiO2 catalysts prepared by sol–gel method. Chemical Engineering Journal 148, 164–172

XI. K. Pomoni, A. Vomvas, Chr. Trapalis (2008). Electrical conductivity and photoconductivity studies of TiO2 sol–gel thin films and the effect of N-doping. Journal of Non-Crystalline Solids 354, 4448–4457

XII. L.S. Yoong, F.K. Chong, Binay K. Dutta (2009). Development of copper-doped TiO2 photocatalyst for hydrogen production under visible light. Energy 34, 1652–1661

XIII. Larissa Grinis, SnirDor, AshiOfir, ArieZaban (2008). Electrophoretic deposition and compression of titania nanoparticle films for dye-sensitized solar cells. Journal of Photochemistry and Photobiology A: Chemistry 198, 52–59

XIV. Ludwig Gutzweiler, Tobias Gleichmann1, Laurent Tanguy, Peter Koltay, Roland Zengerle, Lutz Riegger (2017). Open microfluidic gel electrophoresis: Rapid and low cost separation and analysis of DNA at the nanoliter scale. Electrophoresis, 38, 1764–1770

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PERFORMANCE OF A CHAMBER-LESS MICROBIAL FUEL CELL WITH A PAPER-BASED MEMBRANE COATED BY VASELINE

Authors:

Toshihiro Ozawa,Dang Trang Nguyen,Kozo Taguchi,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00020

Abstract:

Today, energy production problem is seriously in the world. Wastes is one of the renewable energy resources, it is converted to electrical energy by Microbial Fuel Cells (MFC). In this study, a chamber-less MFC was constructed by some acrylic parts, electrodes and a filter paper-based proton exchange membrane (PEM). Bacillus subtilis was incubated and fixed on activated carbon sheet. To replace chemically treated PEM, Vaseline was used to treat the paper-based PEM. To increase the output, multiwall carbon nanotube (MWCNT) liquid was used to glue the cathodic electrode and filter paper-based PEM. Current density and power density were measured. Maximum current density and power density were 55 and 3.86 , respectively. Internal resistance of MFC was estimated between 5kΩ and 10kΩ based on the polarization curve. Vaseline-treated paper-based membrane and MWCNT gluing method had positive effectiveness on the performance of the chamber-less MFC.

Keywords:

Microbial Fuel Cell,The chamber-less MFC,Vaseline,Multi Wall Carbon Nano Tube,Bacillus subtilis,

Refference:

I. Abhinav Choudhury, Lepakshi Barbora, Divyanshu Arya, BanwariLal, Sanjukta Subudhi, S. Venkata Mohan, Shaikh Z. Ahammad and Anil Verma. 2017. Effect of electrode surface properties on enhanced electron transfer activity in microbial fuel cells. 17: 186-192

II. Daniel Sohmen, Shinobu Chiba, Naomi Shimokawa-Chiba, C. Axel Innis, Otto Berninghausen, Roland Beckmann, Koreaki Ito and Daniel N. Wilson. 2015. Structure of the Bacillus subtilis 70S ribosome reveals the basis for species-specific stalling. NATURE COMMUNICATIONS 6 6941: 1-10

III. Dengbin Yu, Lu Bai, Junfeng Zhai, Yizhe Wang, Shaojun Dong. 2017. Toxicity detection in water containing heavy metal ions with a self-powered microbial fuel cell-based biosensor. Talanta 168: 210–216

IV. Ezgi Bayram and Erol Akyilmaz. 2016. Development of a new microbial biosensor based on conductive polymer/multiwalled carbon nanotube and its application to paracetamol determination. Sensors and Actuators B 233: 409–418

V. Jumma Shaikh, Niranjan P Patil, Vikas Shinde and Vishwas B Gaikwad. 2016. Simultaneous Decolorization of Methyl Red and Generation of Electricity in Microbial Fuel Cell by Bacillus circulans NPP1. Journal of Microbial & Biochemical Technology volume 8(5): 428-432

VI. Jung Rae Kim, Giuliano C. Premier, Freda R. Hawkes, Richard M. Dinsdale and Alan J. Guwy. 2009. Development of a tubular microbial fuel cell (MFC) employing a membrane electrode assembly cathode. Journal of Power Sources 187: 393–399

VII. Mirella Di Lorenzo, Alexander R. Thomson, Kenneth Schneider, Petra J. Cameron and Ioannis Ieropoulos. 2014. A small-scale air-cathode microbial fuel cell for on-line monitoring of water quality. Biosensors and　Bioelectronics 62: 182–188

VIII. Mostafa Rahimnejad, Arash Adhami, SoheilDarvari, Alireza Zirepour, Sang-Eun Oh. 2015. Microbial fuel cell as new technology for bioelectricity generation: A review. Alexandria Engineering Journal 54: 745–756

IX. Naveen Shankar, Arun Panchapakesan, Suhas Bhandari, H N Ravishankar. 2014. Simultaneous cellulose hydrolysis and bio-electricity generation in a mediatorless Microbial Fuel Cell using a Bacillus flexus strain isolated from wastewater. Research in Biotechnology, 5(1): 6-12

X. Nengwu Zhu, Xi Chen, Ting Zhang, Pingxiao Wu, Ping Li and Jinhua Wu, 2011. Improved performance of membrane free single-chamber air-cathode microbial fuel cells with nitric acid and ethylenediamine surface modified activated carbon fiber felt anodes. Bioresource Technology 102: 422–426

XI. Niloofar Hashemi, Joshua M. Lackore, Farrokh Sharifi, Payton J. Goodrich, Megan L. Winchell and NastaranHashemi. 2016. A paper-based microbial fuel cell operating under continuous flow condition. TECHNOLOGY volume 4, Number 2: 98-103

XII. Pascale B, Beauregard, Yunrong Chai, Hera Vlamakis, Richard Losick, and Roberto Kolter, 2012. Bacillus subtilis biofilm induction by plant polysaccharides. PNAS: E1621–E1630

XIII. Rene A. Rozendal, Hubertus V. M. Hamelers, and Cees J. N. Buisman, 2006. Effects of Membrane Cation Transport on pH and Microbial Fuel Cell Performance. Environ. Sci. Technol 40: 5206-5211

XIV. Wei Yang, Jun Li, Qian Fu, Liang Zhang, Xun Zhu and Qiang Liao. 2017. A simple method for preparing a binder-free paper-based air cathode for microbial fuel cells. Bioresource Technology 241: 325–331

XV. Xinyang Li, Guicheng Liu, Fujun Ma, Shaobin Sun, Siyu Zhou, Ryanda Enggar Anugrah Ardhic, JoongKee Lee and Hong Yao. 2018. Enhanced power generation in a single-chamber dynamic membrane microbial fuel cell using a nonstructural air-breathing activated carbon fiber felt cathode. Energy Conversion and Management 172: 98–104

XVI. Xiayuan Wu, Xiaomin Xiong, Gianluca Brunetti, Xiaoyu Yong, Jun Zhou, Lijuan Zhang, Ping Wei and Honghua Jia. 2017. Effect of MWCNT-modified graphite felts on hexavalent chromium removal in biocathode microbial fuel cells. The Royal Society of Chemistry Advanced 7: 53932-53940

XVII. Yoganathan K and Ganesh P. 2015. Electrogenicity assessment of Bacillus subtilis and Bacillus megaterium using Microbial Fuel Cell technology. International Journal of Applied Research 1(13): 435-438

XVIII. Zainab Z. Ismail and Ali Jwied Jaeel. 2013. Sustainable Power Generation in Continuous Flow Microbial Fuel Cell Treating Actual Wastewater: Influence of Biocatalyst Type on Electricity Production. The Scientific　World Journal Volume 2013: 1-7

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EVALUATION OF CATHODE ELECTRODE PERFORMANCE IN MICROBIAL FUEL CELL BY CYCLIC VOLTAMMETRY

Authors:

Ryuhei Kishida,Dang Trang Nguyen,Kozo Taguchi,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00021

Abstract:

Recently, the Microbial Fuel Cell (MFC) technology has captured the researcher’s attention for potentially solving the energy and environmental problems. In this work, we used cyclic voltammetry (CV) technique to evaluate carbon-based cathode electrode performance in MFC. Although activated carbon sheet (AC) has larger surface area than carbon sheet, experimental results showed that the MFC using carbon sheet for the cathode electrode generated higher power density than the case using AC. Based on the result of CV experiments, we formulate a hypothesis that the above result could be attributed to AC had absorbed more ferrocyanide in the cathodic chamber (ferricyanide turned into ferrocyanide by the oxidation reaction during MFC operation). This led to that the surface area of AC became smaller than that of carbon sheet, as a result, carbon sheet had outperformed AC in the role of the cathode in our MFC experiments.

Keywords:

Microbial fuel cell,Carbon sheet,Activated carbon sheet,Cyclic voltammetry,

Refference:

I. Bard, A. J., Faulkner, L. R., Swain, E., & Robey, C. (n.d.). (2001). Fundamentals and Application

II. Chandrasekhar, K., Kadier, A., Kumar, G., Nastro, R. A., &Jeevitha, V. (2018). Challenges in Microbial Fuel Cell and Future Scope, 483–499.

III. Deng, Q., Li, X., Zuo, J., Ling, A., & Logan, B. E. (2010). Power generation using an activated carbon fiber felt cathode in an upflow microbial fuel cell. Journal of Power Sources, 195(4), 1130–1135.

IV. Franks, A. E., & Nevin, K. P. (2010). Microbial fuel cells, a current review. Energies, 3(5), 899–919.

V. Kumar, R., Singh, L., Zularisam, A. W., & Hai, F. I. (2018). Microbial fuel cell is emerging as a versatile technology: a review on its possible applications, challenges and strategies to improve the performances. International Journal of Energy Research, 42(2), 369–394.

VI. Li, S., Cheng, C., & Thomas, A. (2017). Carbon-Based Microbial-Fuel-Cell Electrodes: From Conductive Supports to Active Catalysts. Advanced Materials, 29(8).

VII. Liang, P., Huang, X., Fan, M. Z., Cao, X. X., & Wang, C. (2007). Composition and distribution of internal resistance in three types of microbial fuel cells. Applied Microbiology and Biotechnology, 77(3), 551–558.

VIII. Logan, B. E., Hamelers, B., Rozendal, R., Schröder, U., Keller, J., Freguia, S., …Rabaey, K. (2006). Microbial fuel cells: Methodology and technology. Environmental Science and Technology, 40(17), 5181–5192.

IX. Nicholson, R. S. (1965). Theory and Application of Cyclic Voltammetry f m Measurement of Electrode Reaction Kinetics. Analytical Chemistry, 37(11), 1351–1355.

X. Ortiz, M. E., & Nu, L. J. (2003). Voltammetric determination of the heterogeneous charge transfer rate constant for superoxide formation at a glassy carbon electrode in aprotic medium, 549, 1–4.

XI. Ozaki, J., Mitsui, M., Nishiyama, Y., Cashion, J. D., & Brown, L. J. (1998). Effects of Ferrocene on Production of High Performance Carbon Electrodes from Poly ( furfuryl alcohol ), (17), 3386–3392.

XII. Santoro, C., Arbizzani, C., Erable, B., &Ieropoulos, I. (2017). Microbial fuel cells: From fundamentals to applications. A review. Journal of Power Sources, 356, 225–244.

XIII. Schröder, U. (2007). Anodic electron transfer mechanisms in microbial fuel cells and their energy efficiency. Phys. Chem. Chem. Phys., 9(21), 2619–2629.

XIV. Taherian, R. (2014). A review of composite and metallic bipolar plates in proton exchange membrane fuel cell: Materials, fabrication, and material selection. Journal of Power Sources, 265, 370–390.

XV. Tursun, H., Liu, R., Li, J., Abro, R., Wang, X., Gao, Y., & Li, Y. (2016). Carbon material optimized biocathode for improving microbial fuel cell performance. Frontiers in Microbiology, 7(JAN), 1–9.

XVI. Zhao, F., Rahunen, N., Varcoe, J. R., Chandra, A., Avignone-Rossa, C., Thumser, A. E., & Slade, R. C. T. (2008). Activated carbon cloth as anode for sulfate removal in a microbial fuel cell. Environmental Science and Technology, 42(13), 4971–4976.

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EARLY FAULT DETECTION IN BEARING USING TIME DOMAIN TECHNIQUE: FAULTY BEARING SEEDED ON INNER RACEWAY AND BALL

Authors:

Abdoulhdi A. Borhana,Uma Shankar,R. Kalaivani,M.A. Khattak,Yasir Hassan Ali,Omar Suliman Zaroog,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00022

Abstract:

One of the most important assets in an industry would be rotating machines. The reliability and availability are very crucial in order to support the accomplishment of an industry field. Major and even minor faults in rotating machines cause a decrease in both productivity and cost efficiency. Various methods have been studied by researcher and introduced in the industry for the detection of an early fault in rotating machines. Vibration signal analysis is one of a standout amongst other methods. This research paper focused on early fault detection in the bearing component at two different positions; inner raceway and ball. The faults were established at three different diameters of 0.007 inches, 0.021 inches, and 0.028 inches. By utilizing time domain technique, parameters such as mean, median, standard deviation, RMS, skewness, impulse factor and shape factor were determined. The vibration signal for both healthy and faulty bearing was deliberated by using the MATLAB software. All the data obtained were represented in graphs where the healthy and faulty bearing values were compared and analyzed.

Keywords:

Ball bearing,early fault detection,time domain technique,inner raceways,

Refference:

I. Csegroups.case.edu. (2017). Download a Data File | Bearing Data Center. [online] Available at: http://csegroups.case.edu/bearingdatacenter/pages/download-data-file [Accessed 31 Aug. 2017].

II. Igba, J., Alemzadeh, K., Durugbo, C. and Eiriksson, E. (2016). Analysing RMS and peak values of vibration signals for condition monitoring of wind turbine gearboxes. Renewable Energy, 91, 90-106. doi: 10.1016/j.renene.2016.01.006

III. Jiang, Q., Shen, Y., Li, H. and Xu, F. (2018). New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network. Sensors, 18(2), 337. doi: 10.3390/s18020337

IV. Liu, W.Y., Tang, B.P., Han, J.G., Lu, X.N., Hu, N.N. and He, Z.Z. (2015). The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review. Renew. Sustain. Energy Rev. 44, 466–472.

V. Muszynska, A. (1995). Vibrational Diagnostics of Rotating Machinery Malfunctions. International Journal Of Rotating Machinery, 1(3-4), 237-266. doi: 10.1155/s1023621x95000108

VI. Shukla, S. and Karma, V. (2014). Fault Detection of Two Stage Spur Gearbox using Time Domain Technique: Effect of Tooth Breakage and Improper Chamfering. International Journal of Innovative Science, Engineering & Technology, Vol. 1(Issue 4). ISSN 2348 – 7968

VII. Soleimani, A. and Khadem, S. (2015). Early fault detection of rotating machinery through chaotic vibration feature extraction of experimental data sets. Chaos, Solitons& Fractals, 78, 61-75. doi: 10.1016/j.chaos.2015.06.018

VIII. TabriziZarringhabaei, A.A. (2015). Development of new fault detection methods for rotating machines (roller bearings) (PhD Thesis). Mechanical and Aerospace Engineering Department, Porto Institutional Repository, Politenico di Torino.

IX. Tatis De leon, R. (2012). Vibration Measurement for Rotatory Machines (Degree Programme in Automation Engineering). HAMK University of Applied Science.

X. Zayeri, R., Attaran, B., Ghanbarzadeh, A. and Moradi, S. (2011). Artificial Neural Network Based Fault Diagnostics of Rolling Element bearings using Continuous Wavelet Transform. The 2Nd International Conference on Control, Instrumentation, and Automation (IEEE), At Shiraz University, Iran. doi: 10.1109/ICCIAutom.2011.6356754

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PREDICTION OF CARBON DIOXIDE SOLUBILITY IN BLENDS OF AQUEOUS POTASSIUM LYSINATE AND PIPERAZINE USING THERMODYNAMIC MODELING

Authors:

Afaf Syalsabila,Abdulhalim Shah Maulud,Humbul Suleman,Nik Abdul HadiMd Nordin,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00023

Abstract:

In the present study, a thermodynamic modeling using explicit model is performed for the determination of carbon dioxide solubility in blends of aqueous potassium lysinate with piperazine at a wide range of pressure from 500 to 4100 kPa, temperature within 303.15-343.15 K, and solvent concentrations of 1, 2 and 3 M. The model has suitably predicted the carbon dioxide thermodynamics of the solutions. The average absolute deviation from the correlation of the explicit model is found to be 8.5%.

Keywords:

vapor-liquid equilibrium,carbon dioxide,thermodynamic modeling,amino acid,alkanolamine,

Refference:

I. Aronu UE, Hessen ET, Haug-Warberg T, Hoff KA, Svendsen HF. Equilibrium absorption of carbon dioxide by amino acid salt and amine amino acid salt solutions. Energy procedia. 2011;4:109-16.
II. Bougie F, Iliuta MC. Sterically hindered amine-based absorbents for the removal of CO2 from gas streams. J ChemEng Data. 2012;57(3):635-69.
III. Chung P-Y, Soriano AN, Leron RB, Li M-H. Equilibrium solubility of carbon dioxide in the amine solvent system of (triethanolamine+ piperazine+ water). J ChemThermodyn. 2010;42(6):802-7.
IV. Donaldson TL, Nguyen YN. Carbon dioxide reaction kinetics and transport in aqueous amine membranes. IndEngChemFundam. 1980;19(3):260-6.
V. Edwards T, Maurer G, Newman J, Prausnitz J. Vapor‐liquid equilibria in multicomponentaqueous solutions of volatile weak electrolytes. AIChE J. 1978;24(6):966-76.
VI. Gabrielsen J. CO2 capture from coal fired power plants. Graduate Schools Yearbook 2005.2005:61.
VII. Hamzehie ME, Najibi H. Carbon dioxide absorption in aqueous solution of potassium glycinate+ 2-amino-2-methyl-1-propanol as new absorbents. RSC Advances. 2016;6(67):62612-23.
VIII. Kang D, Park S, Jo H, Min J, Park J. Solubility of CO2 in amino-acid-based solutions of (potassium sarcosinate),(potassium alaninate+ piperazine), and (potassium serinate+ piperazine). J ChemEng Data. 2013;58(6):1787-91.
IX. Kumar P, Hogendoorn J, Feron P, Versteeg G. Equilibrium solubility of CO2 in aqueous potassium taurate solutions: Part 1. Crystallization in carbon dioxide loaded aqueous salt solutions of amino acids. IndEngChem Res. 2003;42(12):2832-40.
X. Lerche BM, Stenby EH, Thomsen K. CO 2 capture from flue gas using amino acid salt solutions: Technical University of DenmarkDanmarksTekniskeUniversitet, Department of ChemistryInstitut for Kemi; 2012.
XI. Mondal MK, Balsora HK, Varshney P. Progress and trends in CO2 capture/separation technologies: a review. Energy. 2012;46(1):431-41.
XII. Muñoz DM, Portugal AF, Lozano AE, José G, de Abajo J. New liquid absorbents for the removal of CO 2 from gas mixtures. Energy & Environmental Science. 2009;2(8):883-91.
XIII. Nainar M, Veawab A. Corrosion in CO2 capture process using blended monoethanolamine and piperazine. IndEngChem Res. 2009;48(20):9299-306.
XIV. Portugal A, Sousa J, Magalhães F, Mendes A. Solubility of carbon dioxide in aqueous solutions of amino acid salts. ChemEng Sci. 2009;64(9):1993-2002.
XV. Sakwattanapong R, Aroonwilas A, Veawab A. Behavior of reboiler heat duty for CO2 capture plants using regenerable single and blended alkanolamines. IndEngChem Res. 2005;44(12):4465-73.
XVI. Song H-J, Lee S, Maken S, Park J-J, Park J-W. Solubilities of carbon dioxide in aqueous solutions of sodium glycinate. Fluid Phase Equilib. 2006;246(1):1-5.
XVII. Suleman H, Maulud AS, Man Z. Carbon Dioxide Solubility in Aqueous Potassium Lysinate Solutions: High Pressure Data and Thermodynamic Modeling. Procedia Engineering. 2016;148:1303-11.
XVIII. Suleman H, Maulud AS, Syalsabila A. Thermodynamic modelling of carbon dioxide solubility in aqueous amino acid salt solutions and their blends with alkanolamines. Journal of CO2 Utilization. 2018;26:336-49.
XIX. Syalsabila A, Maulud AS, Nordin NAHM, Suleman H, editors. VLE of carbon dioxide loaded aqueous potassium lysinate with separate blends of piperazine and 2-amino-2-methyl-1-propanol. AIP Conference Proceedings; 2018: AIP Publishing.
XX. Van Holst J, Politiek PP, Niederer JP, Versteeg GF, editors. CO2 capture from flue gas using amino acid salt solutions. Proceedings of 8th International Conference on Greenhouse Gas Control Technologies; 2006.

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THE ARCHITECTURE OF THE SOVIET MAUSOLEUM IN THE CONTEXT OF TIME

Authors:

Dmitry A. Chistyakov,Galina I. Bykova,Natalya N. Korshunova,Alexander N. Kalugin,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00024

Abstract:

The Soviet Mausoleum in Red Square is an object of historical, political, architectural and town-planning significance. Lenin's mausoleum is a construction of absolutely exceptional importance, not limited to the red square, Moscow or even the entire Soviet Union. This building is unique both for its purpose and architectural forms and artistic qualities. The creation of the Mausoleum is an integrated approach of the architect, according to the time period in which the design was carried out. The identification of its viability, nowadays, is an actual task for representatives of various professions: sociologists, psychologists, political scientists, city planners and architects. The analysis of the history of the mausoleum creation, the establishment of time parallel and also an assessment of the importance of town planning and space planning solutions let us suggest possible prospects for the existence of this object

Keywords:

Red Square,mausoleum,ziggurat,radiation,

Refference:

I. Abramov A. Truth and fiction about the Kremlin necropolis and the Mausoleum. Moscow: Eksmo, 2005.
II. Afanasyev K. N. From the history of Soviet architecture 1917-1925.
III. Brian Curran. The Egyptian Renaissance. The after life of Ancient Egypt in early Modern Italy. Chicago: University of Chicago Press. 2007.
IV. Brodsky B.. The heart of the Kremlin. Moscow: Fine arts, 1996.
V. Curl J.S. Egyptian Revival. London. 2005.
VI. Demkina, S. M., Davydova, I. I., Novikova E. B. Architect
VII. F. O. Shekhtel. Moscow, 2009.
VIII. Jean-Marcel Humbert, Michael Pantazzi, Christiane Ziegler. Egyptomania; Egypt in Western art. 1994.
IX. Khan-Magomedov S. O. Hundred masterpieces of Soviet architectural avant-garde. Moscow: Bilingua, editorial URSS. 2005.
X. Khan-Magomedov S. O., Lenin’s Mausoleum. Moscow: S. E. Gordeev, 2012.
XI. Moscow: Documents and materials. 1963.
XII. Nashchokina M. V. Architects of Moscow art Nouveau. Moscow. 1998.
XIII. Riabchikov, E. I., Abramov A. S., Romanovsky.PP. Red square Moscow: Moscow worker Press. 1980.
XIV. Strada Vittorio. About the mausoleum of Lenin. Kontinent No. 77. Moscow: Continent, 1993.
XV. Vaskin. A. Shchusev: the Architect of all the Russias. Moscow: Young guard, 2015.
XVI. Yaralov U.S. Architects of Moscow. Book 2. Of the twentieth century. Moscow: Moscow worker, 1988.

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CHARACTERIZING PROTECTION ABILITY OF BLUE BLOCKING LENSES USING K-MEANS CLUSTERING

Authors:

Mohd Zulfaezal Che Azemin,Norsham Ahmad,Mohd Hafidz Ithnin,Mohd Hazimin Mohd Salleh,Mohd Izzuddin Mohd Tamrin,Saiful Azlan Rosli,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00025

Abstract:

Blue light protection ophthalmic lenses have been regularly marketed as the ultimate protection against short-wavelength visible radiation mainly in the range of 400 nm and 450 nm. However, the actual protective effects of such lenses are currently unknown; most claims are provided by the manufacturers with limited scientific validation. This will not only make selling such lenses challenging but may provide the lens wearers little or no protection against the blue light hazard. It is recently discovered that the protection needs to take into accounts the light source that the wearers wish to protect from – heavy electronic gadget users for instance, are exposed to different spectrum of radiation compared to non-users. This problem is aggravated when the hazard needs to further be classified into the visual and non-visual effects. Non-visual impact includes the disruption in the circadian cycle which is governed by the physiological cycles of our body within 24 hours such as the melatonin hormone secretion. Such knowledge will help to educate optometrist to explain to their prospective customers and will also assist the spectacle wearers to make an informed decision based on validated scientific data.

Keywords:

Blue-blocking lens,retinal index,circadian index,k-means clustering,,

Refference:

I. Ámundadóttir, M. L., Lockley, S. W., & Andersen, M. (2017). Unified framework to evaluate non-visual spectral effectiveness of light for human health. Lighting Research & Technology, 49(6), 673-696.
II. Ashar, A. M., Lam, M. C., Zainudin, S., & Ismail, A. K. (2018, September). A preliminary study on the decision support mobile application for remote snakebite management consultation in Malaysia. In AIP Conference Proceedings (Vol. 2016, No. 1, p. 020086). AIP Publishing.
III. Atkinson, K. M., El-Khatib, Z., Barnum, G., Bell, C., Turcotte, M. C., Murphy, M. S. Q., & Wilson, K. (2017). Using Mobile Apps to Communicate Vaccination Records: A City-wide Evaluation with a National Immunization App, Maternal Child Registry and Public Health Authorities. Healthcare quarterly (Toronto, Ont.), 20(3), 41-46.
IV. Beaudoin, D. L., Kupershtok, M., & Demb, J. B. (2017). Selective synaptic connections in the retinal pathway for night vision. Journal of Comparative Neurology.
V. BlueControl. (2018). Retrieved from https://www.hoyavision.com/my/discover-products/for-eye-care-professionals/coatings-and-treatments/bluecontrol/
VI. Che Azemin, M. Z., & Khalilah, A. (2018). Textural analysis in meibomian gland image. International Journal of Allied Health Sciences, 2(1), 215-225.
VII. Che Azemin, M. Z., Ashimi, T. A., & Syah, M. M. (2018). Machine learning cases in clinical and biomedical domains. International Medical Journal Malaysia, 17, 135-140.
VIII. Colombo, L., Melardi, E., Ferri, P., Montesano, G., Attaalla, S. S., Patelli, F., & Rossetti, L. (2017). Visual function improvement using photocromic and selective blue-violet light filtering spectacle lenses in patients affected by retinal diseases. BMC ophthalmology, 17(1), 149.
IX. Comparetto, R., & Farini, A. (2018). Blue-blocking spectacles lenses for retinal damage protection and circadian rhythm: evaluation parameters. arXiv preprint arXiv:1806.04751.
X. Hatori, M., Gronfier, C., Van Gelder, R. N., Bernstein, P. S., Carreras, J., Panda, S., & Furukawa, T. (2017). Global rise of potential health hazards caused by blue light-induced circadian disruption in modern aging societies. NPJ aging and mechanisms of disease, 3(1), 9.
XI. Hilmi, M. R., Che Azemin, M. Z., Mohd Kamal, K., Mohd Tamrin, M. I., Abdul Gaffur, N., & Tengku Sembok, T. M. (2017). Prediction of changes in visual acuity and contrast sensitivity function by tissue redness after pterygium surgery. Current eye research, 42(6), 852-856.
XII. Jamaludin, I., Che Azemin, M. Z., Sapuan, A. H., Zainuddin, A. A., & Hassan, R. (2018). 2D and 3D Complexity Analysis on MRI Images using Fractal Dimension. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-8), 161-164.
XIII. Lau, C., & Kolli, V. (2017). App use in psychiatric education: a medical student survey. Academic Psychiatry, 41(1), 68-70.
XIV. Leung, T. W., Li, R. W. H., & Kee, C. S. (2017). Blue-light filtering spectacle lenses: optical and clinical performances. PloS one, 12(1), e0169114.
XV. Malik, S., Bibi, N., Khan, S., Sultana, R., & Rauf, S. A. (2017). Mr. Doc: A Doctor Appointment Application System. arXiv preprint arXiv:1701.08786.
XVI. Ng, Andrew. “CS229 Lecture notes.”CS229 Lecture notes 1.1 (2000): 1-3.
XVII. Park, S. I., & Jang, Y. P. (2017). The protective effect of brown-, gray-, and blue-tinted lenses against blue led light-induced cell death in A2E-laden human retinal pigment epithelial cells. Ophthalmic research, 57(2), 118-124.
XVIII. Tamrin, M. I. M., Turaev, S., Che Azemin, M. Z., Razi, M. J. M., & Maifiah, M. H. M. (2019). Benchmarking of halal food products using similarity measures–a conceptual model. Journal of Information Systems and Digital Technologies, 1(1), 17-24.
XIX. Wei, M., & Chen, S. (2018). Impact of spectral power distribution of daylight simulators on whiteness specification for surface colors. Color Research & Application, 43(1), 27-33.
XX. Westland, S., Pan, Q., & Lee, S. (2017). A review of the effects of colour and light on non‐image function in humans. Coloration Technology, 133(5), 349-361.

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PRINCIPLES IN DESIGNING THE HOSPITAL BUILDING

Authors:

Yahaya Hassan,Azli Yahya,Jasmy Yunus,Sarajul Fikri,Norhalimah Idris,Husna Hamzah,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00026

Abstract:

Special attention and provisions must be done when designing and building a hospital. Designing a hospital that satisfies those criteria are difficult, but not entirely impossible. Extra effort in adhering to specific rules and regulations of Ministry of Health, especially when integrating latest technology in the hospital design are challenging. Therefore, based on the above dilemma, this paper discusses the principles in designing an optimum hospital, which able to accommodate the present and future needs of hospital capacity

Keywords:

Design,elements,hospital building,hospital planning,principles,

Refference:

I. Asian Development Bank, “Key Indicators for Asia and The Pacific 2016” (47th Edition), 2016, pp 119.
II. Cahnman, S.F., “Design Guidelines for Short-Stay Patient Units: Outpatient Observation Prompts New Thinking in Health Care Space Configuration”, Health Facilities Management Magazine (online), 3 May 2017.
III. Department of Statistics Singapore, “Singapore in Figure 2017”, (2017), pp 4, 27.
IV. McDermott, C and Stock G.N., “Hospital Operations and Length of Stay Performance”, International Journal of Operations & Production Management, Vol. 27 (9) (2007), pp 1020-1042.
V. Ministry of Health Malaysia, “Health Facts 2016”, 2016.
VI. Ministry of Health Malaysia, Private Healthcare Facilities and Services Act 1998 and 2006.
VII. Nwagbara, V.C., Rasiah, R, Aslam, M.M, “An Approach toward Public Hospital Performance Assessment”, Medicine, Vol. 95 (36) (2016), pp 1-6.
VIII. Personal observations on planning and design of the hospital development.
IX. Yamaguchi, Y, “Better Healing from Better Hospital Design”, Harvard Business Review (online), 5 October 2015.

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THE RELATIONSHIP BETWEEN FIVE ELEMENTS AND NINE VARIABLES IN HOSPITAL PLANNING

Authors:

Yahaya Hassan,Azli Yahya,Jasmy Yunus,Sarajul Fikri,Norhalimah Idris,Husna Hamzah,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00027

Abstract:

Hospital is a place where the sick comes to seek for treatment from doctor. Hence, special attention and provisions must be given when designing and building the hospital which include assurance in terms of safety requirements, convenience, accessibility and functional for all stakeholders (patients, visitors and staffs). Designing an ideal hospital, which satisfies the above criteria, is challenging, but not entirely impossible. Extra efforts are required in ensuring a design not only functional but adheres to specific rules and regulations, especially incorporating latest technology. This paper discusses the initial stage of hospital planning and design, which incorporates all the necessary parameters (elements and variables) in hospital planning such as bed sizing, service area and locations, which are crucial for the mass users of population. Some analysis based on researcher’s professional judgement is applied in making projection of the present and future hospital capacity.

Keywords:

Design,elements,hospital building,hospital planning,principles,variables,

Refference:

I. Asian Development Bank, “Key Indicators for Asia and The Pacific 2016” (47th Edition), 2016, pp 119.
II. Cahnman, S.F., “Design Guidelines for Short-Stay Patient Units: Outpatient Observation Prompts New Thinking in Health Care Space Configuration”, Health Facilities Management Magazine (online), 3 May 2017.
III. Department of Statistics Singapore, “Singapore in Figure 2017”,(2017, pp 4, 27.
IV. McDermott, C and Stock G.N., “Hospital Operations and Length of Stay Performance”, International Journal of Operations & Production Management, Vol. 27 (9) (2007), pp 1020-1042.
V. Ministry of Health Malaysia, “Health Facts 2016”, 2016.
VI. Nwagbara, V.C., Rasiah, R, Aslam, M.M, “An Approach toward Public Hospital Performance Assessment”, Medicine, Vol. 95 (36) (2016), pp 1-6.
VII. Yamaguchi, Y, “Better Healing from Better Hospital Design”, Harvard Business Review (online), 5 October 2015.

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ENERGY MANAGEMENT SYSTEM WITH DEMAND RESPONSE FOR SOLAR HOME

Authors:

Ghania Mohand Kaci,Achour Mahrane,Madjid Chikh,Smain Berkane,

DOI:

https://doi.org/10.26782/jmcms.spl.9/2020.05.00028

Abstract:

In order to reduce the energy consumption and the environmental footprint of the residential sector, the use of renewable energy sources seems to be an interesting option. However, the intermittent nature of these sources necessitates the installation of a Solar Home Energy Management System (SHEMS) that would ensure both the management of the energy flows and the optimization of the energy demand satisfaction through on-site photovoltaic production of electricity. Regarding the relative incompatibility of photovoltaic production and residential energy consumption profiles, it has been practically demonstrated that the integration of a demand response strategy in the SHEMS system made it possible to adapt the consumption profile to the photovoltaic production profile by shifting the running of the controllable loads to periods of high energy production. This demand management (DR) increases the direct consumption of the PV production by 22%, reduces the energy exchanges with the network and improves, at the same time, the satisfaction rate of the demand by 14%.

Keywords:

Home Energy Management System,Renewable Energy,Solar home,Demand Response,Appliance scheduling,

Refference:

I. A. Anis, M. Mohibullah, and V. K. Sharma, “Optimal Hybrid Renewable Energy Systems for Energy Security: A Comparative Study”, International Journal of Sustainable Energy, vol. 29 (1), pp. 48-58, July 2010
II. A. Chiu. “Framework for integrated demand response (DR) and distributed energy resources (DER) models”, NAESB &UCAIug, North America, Tech. Rep. 1.3, September 2009
III. A. Mohsenian-Rad, V. W. S. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, “Autonomous demand-side management based on game theoretic energy consumption scheduling for the future smart grid” IEEE Trans. Smart Grid, vol. 1, no 3, pp. 320-331, 2010
IV. A. Sathisshkumar, S. Jayamani, “Renewable energy management system in home appliance”, Presented at the International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India. March 19-20, 2015
V. C. Davide, C. Vittorio, C. Lorenzo, C. Federica, D. Idiano, and F. Federico, “Evaluating solar energy profitability: A focus on the role of self-consumption”, Energy Conversion and Management, Vol. 88, pp.317-331, 2014
VI. C.H. Lien, H.C. Chen, Y. W. Bai, and M.B. Lin, “Power monitoring and control for electric home appliances based on power line communication”, In Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, British Columbia, Canada, pp. 2179-2184, May 2008
VII. H. Jinsoo, C. Chang-Sic, P. Wan-Ki, L. Ilwoo, and K. Sang-Ha, “Smart home energy management system including renewable energy based on zigbee and PLC”, In Proceedings of the IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, Nevada, USA, January 10-13, 2014
VIII. H. Yamauchi, K. Uchida, and T. Senjyu, “Advanced Smart Home” In Proceedings of the IEEE International Conference on Harmonics and Quality of Power, Hong Kong, China, pp.130-135, Jun 2012
IX. J. Han, C.S. Choi, W. K. Park, and I. Lee, “Green home energy management system through comparison of energy usage between the same kinds of home appliances” In Proceedings of the 15th international symposium on consumer electronics (ISCE), June 2011
X. J. Widén. “Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings”, Applied Energy vol. 126, pp.199-212, May 2014
XI. K. Thiyagarajana and R. S. Kumar, “Real time energy management and load forecasting in smart grid using Compact RIO”. Procedia Computer Science. Vol. 85, pp. 656 – 661, 2016
XII. L. Hyunjeong, P. Wan-Ki, L. Il-Woo, “A home energy management system for energy-efficient smart homes”, In Proceedings of the International Conference on Computational Science and Computational Intelligence. Las Vegas, USA, March 10-13, 2014
XIII. L. Jorna, D.N. Michiel, S. Omer, “Own power: Motives of having electricity without the energy company”, Energy Policy, Vol. 39, pp. 5621-5692, 2011
XIV. M. Castillo-Cagigal, A. Gutiérrez, F. Monasterio-Huelin, E. Caamaño-Martín, D. Masa, and J. Jiménez-Leube, “A semi-distributed electric demand-side management system with PV generation for self-consumption enhancement” Energy Conversion and Management, Vol. 52, pp. 2659-2666, 2011
XV. M. Castillo-Cagigal, E. Caamanõ-Martín, E. Matallanas, D. Masa-Bote, A. Gutiérrez, F. Monasterio-Huelin, and J. Jiménez-Leube. “PV self-consumption optimization with storage and Active DSM for the residential sector”, Energy Procedia, Vol. 85, pp.2338-2348, 2011
XVI. M. Fotouhi, J. Soares, O. Abrishambaf, R. Castro, and Z. Vale, “Demand response implementation in smart households”, Energy Buildings, vol. 143, pp. 129-148, May 2017
XVII. X. Chen, T. Wei, and S. Hu, “Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home”, IEEETrans. Smart Grid. Vol. 4, no 2, pp. 932-941, 2013
XVIII. X. Chunqiu, L. Wei, C. Xiaomin, C.D. Flavia, Y. Ting, Y.Z. Albert, “Edge-based energy management for smart homes” In Proceedings of the 16th IEEE Int. Conf. on Dependable, Autonomic & Secure Comp. Athens, Greece, August 12-15, 2018
XIX. Y.S. Son and K. D. Moon, “Home energy management system based on power line communication”, IEEE Trans. Consumer Electron., vol. 56. (3), pp. 1380-1386, August 2010

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