IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p4798-d610069.html
   My bibliography  Save this article

Analysis of Energy Use and Energy Savings: A Case Study of a Condiment Industry in India

Author

Listed:
  • Khan Rahmat Ullah

    (School of Built Environment, Faculty of Arts, Design & Architecture, UNSW Sydney, Sydney, NSW 2052, Australia)

  • Marudhappan Thirugnanasambandam

    (Department of Mechanical Engineering, Bannari Amman Institute of Technology, Tamil Nadu 638401, India)

  • Rahman Saidur

    (Research Center for Nano-Materials and Energy Technology (RCNMET), School of Engineering and Technology, Sunway University, Bandar Sunway, Petaling Jaya 47500, Selangor Darul Ehsan, Malaysia
    Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University Putra Malaysia, Seri Kembangan, Serdang 43400, Selangor Darul Ehsan, Malaysia)

  • Kazi Akikur Rahman

    (Idaho National Laboratory, 1955 N Fremont Ave, Idaho Falls, ID 83415, USA)

  • Md. Riaz Kayser

    (Solar Energy Technologies, Western Sydney University, Penrith, NSW 2751, Australia)

Abstract

Electric motors and boilers lead the industrial components which consume the largest portion of energy in an industry. This study explores the energy audit data of the condiment industry in India. The study mainly focuses on the estimation of the load factor, energy use, energy savings and annual bill savings with payback period of the electric motors of the plant. During the audit, it was found that there were several motors running under loaded conditions despite non-availability of variable speed drives installed in the plant. Therefore, variable speed drives are recommended to be installed to save energy by reducing the motors speed by up to 60%. According to the estimation, about 276 MWh, 551 MWh and 827 MWh electrical energy can be saved for 20%, 40% and 60% speed reduction of the motors using variable speed drives, respectively, where in most of the cases the payback period remains below 1 year. Furthermore, some suggestions are made to improve the poor power factor of running motors by using capacitor banks to save the reactive power. Besides, an estimation of energy saving is performed with a 2-ton capacity boiler. Since, there was no heat recovery system in the boiler; an air-preheater is suggested to be installed at the end of flue gas exhausting path of the boiler with the purpose of saving 68 tons of fuel per annum and having a payback period of 12 months. Moreover, a digital monitoring system, namely, “The Smart Joules” has been proposed to be installed in the plant aiming at saving about 3–5% of total energy per annum and having a payback period of 19 months. Finally, a summarization is made concluding in the fact that about 90 MWh energy and 95 tons of fuel can be saved (excluding motor energy savings) per annum by implementing proposed measures with a payback period of 15 months.

Suggested Citation

  • Khan Rahmat Ullah & Marudhappan Thirugnanasambandam & Rahman Saidur & Kazi Akikur Rahman & Md. Riaz Kayser, 2021. "Analysis of Energy Use and Energy Savings: A Case Study of a Condiment Industry in India," Energies, MDPI, vol. 14(16), pages 1-25, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4798-:d:610069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/4798/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/4798/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saidur, R. & Ahamed, J.U. & Masjuki, H.H., 2010. "Energy, exergy and economic analysis of industrial boilers," Energy Policy, Elsevier, vol. 38(5), pages 2188-2197, May.
    2. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    3. Giacomo Salvadori & Fabio Fantozzi & Michele Rocca & Francesco Leccese, 2016. "The Energy Audit Activity Focused on the Lighting Systems in Historical Buildings," Energies, MDPI, vol. 9(12), pages 1-13, November.
    4. Garcia, Agenor Gomes Pinto & Szklo, Alexandre S. & Schaeffer, Roberto & McNeil, Michael A., 2007. "Energy-efficiency standards for electric motors in Brazilian industry," Energy Policy, Elsevier, vol. 35(6), pages 3424-3439, June.
    5. Vincenzo Franzitta & Sonia Longo & Giuseppe Sollazzo & Maurizio Cellura & Clara Celauro, 2020. "Primary Data Collection and Environmental/Energy Audit of Hot Mix Asphalt Production," Energies, MDPI, vol. 13(8), pages 1-11, April.
    6. Gianluca Rospi & Nicola Cardinale & Elisabetta Negro, 2017. "Energy Performance and Economic Feasibility Study of Historical Building in the City of Matera, Southern Italy," Energies, MDPI, vol. 10(12), pages 1-18, December.
    7. Dutta, Monica & Mukherjee, Saptarshi, 2010. "An outlook into energy consumption in large scale industries in India: The cases of steel, aluminium and cement," Energy Policy, Elsevier, vol. 38(11), pages 7286-7298, November.
    8. Giuliano Dall'O' & Luca Sarto & Angela Panza, 2013. "Infrared Screening of Residential Buildings for Energy Audit Purposes: Results of a Field Test," Energies, MDPI, vol. 6(8), pages 1-20, July.
    9. Gielen, Dolf & Taylor, Peter, 2009. "Indicators for industrial energy efficiency in India," Energy, Elsevier, vol. 34(8), pages 962-969.
    10. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt96z5s545, Institute of Transportation Studies, UC Davis.
    11. Mongia, Puran & Schumacher, Katja & Sathaye, Jayant, 2001. "Policy reforms and productivity growth in India's energy intensive industries," Energy Policy, Elsevier, vol. 29(9), pages 715-724, July.
    12. Alejandro Tristán & Flurina Heuberger & Alexander Sauer, 2020. "A Methodology to Systematically Identify and Characterize Energy Flexibility Measures in Industrial Systems," Energies, MDPI, vol. 13(22), pages 1-35, November.
    13. Saidur, R., 2010. "A review on electrical motors energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 877-898, April.
    14. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    15. Feng-Fan Liao & Wun-Hwa Chen, 2021. "Will the Management Structure of Energy Administrators Affect the Achievement of the Electrical Efficiency Mandatory Target for Taiwan Factories?," Energies, MDPI, vol. 14(7), pages 1-14, April.
    16. Man Hin Eve Chan & Kar-Kit Chu & Hin-Fung Chow & Chi-Wing Tsang & Chi Kuen Danny Ho & Shuk-Kei Ho, 2019. "Improving the Energy Efficiency of Petrochemical Plant Operations: A Measurement and Verification Case Study Using a Balanced Wave Optimizer," Energies, MDPI, vol. 12(21), pages 1-14, October.
    17. Dong Kon Hwang & Jinkyun Cho & Junghwan Moon, 2019. "Feasibility Study on Energy Audit and Data Driven Analysis Procedure for Building Energy Efficiency: Bench-Marking in Korean Hospital Buildings," Energies, MDPI, vol. 12(15), pages 1-18, August.
    18. Saidur, R. & Rahim, N.A. & Ping, H.W. & Jahirul, M.I. & Mekhilef, S. & Masjuki, H.H., 2009. "Energy and emission analysis for industrial motors in Malaysia," Energy Policy, Elsevier, vol. 37(9), pages 3650-3658, September.
    19. de Almeida, Aníbal T & Fonseca, Paula & Bertoldi, Paolo, 2003. "Energy-efficient motor systems in the industrial and in the services sectors in the European Union: characterisation, potentials, barriers and policies," Energy, Elsevier, vol. 28(7), pages 673-690.
    20. Rashiqa Abdul Salam & Khuram Pervez Amber & Naeem Iqbal Ratyal & Mehboob Alam & Naveed Akram & Carlos Quiterio Gómez Muñoz & Fausto Pedro García Márquez, 2020. "An Overview on Energy and Development of Energy Integration in Major South Asian Countries: The Building Sector," Energies, MDPI, vol. 13(21), pages 1-37, November.
    21. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt1f25b3xq, Institute of Transportation Studies, UC Davis.
    22. Marco Pritoni & Drew Paine & Gabriel Fierro & Cory Mosiman & Michael Poplawski & Avijit Saha & Joel Bender & Jessica Granderson, 2021. "Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis," Energies, MDPI, vol. 14(7), pages 1-37, April.
    23. Sukjoon Oh & Chul Kim & Joonghyeok Heo & Sung Lok Do & Kee Han Kim, 2020. "Heating Performance Analysis for Short-Term Energy Monitoring and Prediction Using Multi-Family Residential Energy Consumption Data," Energies, MDPI, vol. 13(12), pages 1-24, June.
    24. Yeh, Sonia & Rubin, Edward S, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt3zz2w2wr, Institute of Transportation Studies, UC Davis.
    25. Kristaps Locmelis & Dagnija Blumberga & Andra Blumberga & Anna Kubule, 2020. "Benchmarking of Industrial Energy Efficiency. Outcomes of an Energy Audit Policy Program," Energies, MDPI, vol. 13(9), pages 1-15, May.
    26. Yeh, Sonia & Rubin, Edward, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt4xn4w7rn, Institute of Transportation Studies, UC Davis.
    27. Mathur, Jyotirmay & Bansal, Narendra Kumar & Wagner, Hermann. -Joseph, 2003. "Investigation of greenhouse gas reduction potential and change in technological selection in Indian power sector," Energy Policy, Elsevier, vol. 31(12), pages 1235-1244, September.
    28. Ida Johansson & Nawzad Mardan & Erwin Cornelis & Osamu Kimura & Patrik Thollander, 2019. "Designing Policies and Programmes for Improved Energy Efficiency in Industrial SMEs," Energies, MDPI, vol. 12(7), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    2. Barma, M.C. & Saidur, R. & Rahman, S.M.A. & Allouhi, A. & Akash, B.A. & Sait, Sadiq M., 2017. "A review on boilers energy use, energy savings, and emissions reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 970-983.
    3. Saidur, R. & Ahamed, J.U. & Masjuki, H.H., 2010. "Energy, exergy and economic analysis of industrial boilers," Energy Policy, Elsevier, vol. 38(5), pages 2188-2197, May.
    4. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    5. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    6. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    7. Li, Sheng & Gao, Lin & Zhang, Xiaosong & Lin, Hu & Jin, Hongguang, 2012. "Evaluation of cost reduction potential for a coal based polygeneration system with CO2 capture," Energy, Elsevier, vol. 45(1), pages 101-106.
    8. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    9. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
    10. Kemp, Alexander G. & Sola Kasim, A., 2010. "A futuristic least-cost optimisation model of CO2 transportation and storage in the UK/UK Continental Shelf," Energy Policy, Elsevier, vol. 38(7), pages 3652-3667, July.
    11. Kaminski, Jacek & KudeLko, Mariusz, 2010. "The prospects for hard coal as a fuel for the Polish power sector," Energy Policy, Elsevier, vol. 38(12), pages 7939-7950, December.
    12. Braimakis, Konstantinos & Atsonios, Konstantinos & Panopoulos, Kyriakos D. & Karellas, Sotirios & Kakaras, Emmanuel, 2014. "Economic evaluation of decentralized pyrolysis for the production of bio-oil as an energy carrier for improved logistics towards a large centralized gasification plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 57-72.
    13. Liu, Qiang & Shi, Minjun & Jiang, Kejun, 2009. "New power generation technology options under the greenhouse gases mitigation scenario in China," Energy Policy, Elsevier, vol. 37(6), pages 2440-2449, June.
    14. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
    15. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    16. Muratori, Matteo & Ledna, Catherine & McJeon, Haewon & Kyle, Page & Patel, Pralit & Kim, Son H. & Wise, Marshall & Kheshgi, Haroon S. & Clarke, Leon E. & Edmonds, Jae, 2017. "Cost of power or power of cost: A U.S. modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 861-874.
    17. Matteson, Schuyler & Williams, Eric, 2015. "Residual learning rates in lead-acid batteries: Effects on emerging technologies," Energy Policy, Elsevier, vol. 85(C), pages 71-79.
    18. McNerney, James & Doyne Farmer, J. & Trancik, Jessika E., 2011. "Historical costs of coal-fired electricity and implications for the future," Energy Policy, Elsevier, vol. 39(6), pages 3042-3054, June.
    19. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    20. Niknam, Pouriya H & Sciacovelli, Adriano, 2023. "Hybrid PCM-steam thermal energy storage for industrial processes – Link between thermal phenomena and techno-economic performance through dynamic modelling," Applied Energy, Elsevier, vol. 331(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4798-:d:610069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.