AUTHORS: Fitsum Bekele Tilahun, Ramchandra Bhandari, Menegesha Mamo

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ABSTRACT: The possibility of augmenting industrial process using solar and thus reach at an economically realizable solution nictitates knowing the energy demand at a relatively high accuracy. An accurate energy use prediction gives relevant information to make sound decisions such as appropriate technology selection, sizing and performance validation of solar process heat integration. Furthermore, an accurate energy prediction would have huge impact in assessing the economic feasibility of the chosen technology. In this paper, textile industry’s thermal energy demand is derived from an artificial neural network (ANN) model. The outputs of this derived thermal model is then coupled to a sun and solar collector steady state model to arrive at an economically realizable solar process heat solutions in a textile industry. To demonstrate the validity and practicality of the proposed solution, a case study was conducted on an Ethiopian textile industry. Payback periods that span from 2.1 to 9.1 years are identified for the various solar collector technologies without subsidy. The payback period is relatively high for parabolic through collector (PTC) that exceeds the typical industry standard of 3-5 years which might create realization barrier. However, as done elsewhere, proper policy to support such renewable solutions would help for the uptake of this technology in Ethiopian industries.

KEYWORDS: Artificial neural network (ANN), solar process heat, sun model, solar collector, economically realizable, payback period, textile industry

REFERENCES:

[1]. Annual energy outlook, the U.S. Energy Information Administration (EIA), https:// www.eia.gov/outlooks/aeo/; 2017

[accessed 15.09.17].

[2]. Ming-Jia Li, Wen-Quan Tao. Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry. Applied Energy, 2017; 187:203–215

[3]. Solar Heat for Industrial Processes, technology brief, International Renewable Energy Agency; January 2015.

[4]. Ashish K. Sharmaa, Chandan Sharmab, Subhash C. Mullicka, Tara C. Kandpala. Solar industrial process heating: A review. Renewable and Sustainable Energy Reviews, 2017; 78: 124-137

[5]. Ali Hasanbeigi, Lynn Price. A review of energy use and energy efficiency technologies for the textile industry. Renewable and Sustainable Energy Reviews, 2012; 16:3648-3665.

[6]. Reference Document on best available techniques for the textiles industry, European Commission, eippcb.jrc.ec.europa.eu/reference/ BREF/txt_bref_0703.pdf; 2003

[accessed 15.09.17]

[7]. Database of certified products for collectors, http://www.solarkeymark.org/; 2017

[accessed 15.09.17].

[8]. Database for applications of solar heat integration in industrial processes, http://shipplants.info/;

[accessed 15.09.17].

[9]. Concentrated solar thermal heat, ministry of new and renewable energy, Indian government, http://www.cshindia.in/ListofReports.html;

[accessed 15.09.17].

[10].Share of total primary energy supply in Ethiopia, International Energy Agency, http://www.iea. org/stats/WebGraphs/ETHIOPIA4.pdf;

[accessed 15.09.17].

[11].International Energy agency, http://www.iea. org/statistics/statisticssearch/report/?year =2014 &country=Ethiopia product=Balances;

[accessed 15.09.17].

[12].AfDB, OECD, UNDP 2016: African Economic Outlook 2016: https://www.afdb.org/fileadmin/ uploads/afdb/Documents/Publications/AEO_20 16_Report_Full_English.pdf

[13].Ethiopia Energy Situation, https://energypedia. info/wiki/Ethiopia_Energy_Situation#cite_note -5,

[accessed 15.09.17].

[14].The Ethiopian power sector: a renewable future, Berlin Energy Transition Dialogue, Ministry of Water Irrigation and Electricity; March 2017

[15].NREL (National Renewable Energy Laboratory), https://openei.org/wiki/File:NREL -ethiopiadni.jpg;

[accessed 15.09.17].

[16].Mulu Gebreeyesus. Industrial policy and development in Ethiopia: Evolution and present experimentation. The Brookings Institution, 2013, Working Paper No. 6.

[17].An overview of facts and opportunities of Ethiopian textile industry, Ethiopian textile industry development Institute (ETIDI), October 2014.

[18].An abstract to Ethiopia’s textile chemical processing/finishing industry, Ethiopian textile industry development institute, Finishing Technology Directorate.

[19]. Fitsum Bekele Tilahun, Ramchandra Bhandari, Menegesha Mamo. Industrial Process Steam-consumption prediction through an Artificial Neural Networks (ANNs) approach, 2017, International Journal of Mechanical Engineering; 2:72-81.

[20].Duffie JA, Beckman WA. Solar engineering of thermal processes. Hoboken, New Jersy: John Wiley & Sons, Inc; 2013.

[21].Jianyuan Zhang, Li Zhao, Shuai Deng, Weicong Xu, Ying Zhang. A critical review of the models used to estimate solar radiation. Renewable and Sustainable Energy Reviews, 2017; 70:314-329.

[22].Y. El Mghouchi, A. El Bouardi, Z. Choulli, T. Ajzoul. Models for obtaining the daily direct, diffuse and global solar radiations. Renewable and Sus. Energy Reviews, 2016; 56:87-99.

[23].Product pricing, Pakistan refinery limited, http://www.prl.com.pk/;

[accessed 15.09.17].

[24].Specific Carbon Dioxide Emissions of Various Fuels, German energy transition, https://www. volker-quaschning.de/datserv/CO2-spez/index_ e.php;

[accessed 15.09.17].

[25].Liquid Fuel Measurements and Conversions, Iowa State University, https://www. extension.iastate.edu/agdm/wholefarm/html/c6- 87.html;

[accessed 15.09.17].

[26].Tobias Eiholzera, Donald Olsena, Sebastian Hoffmanna, Barbara Sturmb, Beat Wellig. Integration of a solar thermal system in a medium-sized brewery using pinch analysis: methodology and case study. Applied Thermal Engineering, 2017; 113:1558-1568