IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8774-d979869.html
   My bibliography  Save this article

Enhancing the Efficiency of Integrated Energy Systems by the Redistribution of Heat Based on Monitoring Data

Author

Listed:
  • Andrii Radchenko

    (Machinebuilding Institute, Admiral Makarov National University of Shipbuilding, Heroes of Ukraine Avenue 9, 54025 Mykolayiv, Ukraine)

  • Mykola Radchenko

    (Machinebuilding Institute, Admiral Makarov National University of Shipbuilding, Heroes of Ukraine Avenue 9, 54025 Mykolayiv, Ukraine)

  • Hanna Koshlak

    (Department of Building Physics and Renewable Energy, Kielce University of Technology, Aleja Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland)

  • Roman Radchenko

    (Machinebuilding Institute, Admiral Makarov National University of Shipbuilding, Heroes of Ukraine Avenue 9, 54025 Mykolayiv, Ukraine)

  • Serhiy Forduy

    (PepsiCo, Inc., 01010 Kyiv, Ukraine)

Abstract

Integrated energy systems (IES) for combined power, heat and refrigeration supply achieved a wide application due to high flexibility in matching current loading. So as electricity is easily convertible into any other form of energy, gas engines are widely applied as driving engines characterized by high electrical and overall efficiency of about 45% and 90%, respectively. However, the highest thermal efficiency is achieved at full matching heat generated by the engine and heat transformed. This is often impossible in actual practice, especially if the heat is transformed into refrigeration by the most efficient and widespread absorption lithium-bromide chillers (ACh) and the heat not consumed by the ACh is removed from the atmosphere through an emergency radiator. The unused heat might be transformed by an ejector chiller (ECh) as the simplest and cheapest. So as the thermodynamic efficiency of any combustion engine is influenced essentially by the sucked air temperature, the excessive refrigeration produced by the ECh, is used for IES cooling to generate additional electricity and increase the electrical and overall efficiency of the engine. Such a redistribution of heat enables the enhancement of the efficiency of IES with an absorption-ejector chiller (AECh). The modified criteria for the comparative estimation of thermodynamic efficiency of innovative IESs with AEChs without overgenerated heat lost against a typical IES with an ACh and heat lost are proposed. In contrast to well-known electrical and heat efficiency, it considers the magnitude of heat loss and enables us to compare the heat efficiency of any version of transforming heat to refrigeration with an ideal basic version of IES based on a highly efficient ACh, transforming all the heat removed from the engine without heat loss. Some alternative scheme decisions for heat recovery systems have been developed based on monitoring data. They might be easily implemented into a typical IES with ACh.

Suggested Citation

  • Andrii Radchenko & Mykola Radchenko & Hanna Koshlak & Roman Radchenko & Serhiy Forduy, 2022. "Enhancing the Efficiency of Integrated Energy Systems by the Redistribution of Heat Based on Monitoring Data," Energies, MDPI, vol. 15(22), pages 1-18, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8774-:d:979869
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8774/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/22/8774/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maraver, Daniel & Sin, Ana & Royo, Javier & Sebastián, Fernando, 2013. "Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters," Applied Energy, Elsevier, vol. 102(C), pages 1303-1313.
    2. Zongming Yang & Mykola Radchenko & Andrii Radchenko & Dariusz Mikielewicz & Roman Radchenko, 2022. "Gas Turbine Intake Air Hybrid Cooling Systems and a New Approach to Their Rational Designing," Energies, MDPI, vol. 15(4), pages 1-18, February.
    3. Waldemar Kuczyński & Marcin Kruzel & Katarzyna Chliszcz, 2022. "Regression Model of Dynamic Pulse Instabilities during Condensation of Zeotropic and Azeotropic Refrigerant Mixtures R404A, R448A and R507A in Minichannels," Energies, MDPI, vol. 15(5), pages 1-24, February.
    4. Waldemar Kuczyński & Marcin Kruzel & Katarzyna Chliszcz, 2022. "A Regressive Model for Periodic Dynamic Instabilities during Condensation of R1234yf and R1234ze Refrigerants," Energies, MDPI, vol. 15(6), pages 1-14, March.
    5. Andrii Radchenko & Mykola Radchenko & Dariusz Mikielewicz & Anatoliy Pavlenko & Roman Radchenko & Serhiy Forduy, 2022. "Energy Saving in Trigeneration Plant for Food Industries," Energies, MDPI, vol. 15(3), pages 1-14, February.
    6. Zongming Yang & Victoria Kornienko & Mykola Radchenko & Andrii Radchenko & Roman Radchenko, 2022. "Research of Exhaust Gas Boiler Heat Exchange Surfaces with Reduced Corrosion When Water-Fuel Emulsion Combustion," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    7. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    8. Giaccone, L. & Canova, A., 2009. "Economical comparison of CHP systems for industrial user with large steam demand," Applied Energy, Elsevier, vol. 86(6), pages 904-914, June.
    9. Zongming Yang & Volodymyr Korobko & Mykola Radchenko & Roman Radchenko, 2022. "Improving Thermoacoustic Low-Temperature Heat Recovery Systems," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    10. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    11. Andrii Radchenko & Eugeniy Trushliakov & Krzysztof Kosowski & Dariusz Mikielewicz & Mykola Radchenko, 2020. "Innovative Turbine Intake Air Cooling Systems and Their Rational Designing," Energies, MDPI, vol. 13(23), pages 1-22, November.
    12. Oktay, Z. & Coskun, C. & Dincer, I., 2011. "A new approach for predicting cooling degree-hours and energy requirements in buildings," Energy, Elsevier, vol. 36(8), pages 4855-4863.
    13. Ibrar Ullah & Irshad Hussain & Khalid Rehman & Piotr Wróblewski & Wojciech Lewicki & Balasubramanian Prabhu Kavin, 2022. "Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector," Energies, MDPI, vol. 15(10), pages 1-27, May.
    14. Freschi, F. & Giaccone, L. & Lazzeroni, P. & Repetto, M., 2013. "Economic and environmental analysis of a trigeneration system for food-industry: A case study," Applied Energy, Elsevier, vol. 107(C), pages 157-172.
    15. Anatoliy M. Pavlenko & Hanna Koshlak, 2021. "Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media," Energies, MDPI, vol. 14(23), pages 1-19, November.
    16. Marcin Kruzel & Tadeusz Bohdal & Krzysztof Dutkowski & Mykola Radchenko, 2022. "The Effect of Microencapsulated PCM Slurry Coolant on the Efficiency of a Shell and Tube Heat Exchanger," Energies, MDPI, vol. 15(14), pages 1-11, July.
    17. Popli, Sahil & Rodgers, Peter & Eveloy, Valerie, 2012. "Trigeneration scheme for energy efficiency enhancement in a natural gas processing plant through turbine exhaust gas waste heat utilization," Applied Energy, Elsevier, vol. 93(C), pages 624-636.
    18. Anna Sandhaas & Hanhee Kim & Niklas Hartmann, 2022. "Methodology for Generating Synthetic Load Profiles for Different Industry Types," Energies, MDPI, vol. 15(10), pages 1-29, May.
    19. Zongming Yang & Dmytro Konovalov & Mykola Radchenko & Roman Radchenko & Halina Kobalava & Andrii Radchenko & Victoria Kornienko, 2022. "Analysis of Efficiency of Thermopressor Application for Internal Combustion Engine," Energies, MDPI, vol. 15(6), pages 1-29, March.
    20. Marcin Kruzel & Tadeusz Bohdal & Krzysztof Dutkowski & Waldemar Kuczyński & Katarzyna Chliszcz, 2022. "Current Research Trends in the Process of Condensation of Cooling Zeotropic Mixtures in Compact Condensers," Energies, MDPI, vol. 15(6), pages 1-16, March.
    21. Wajs, Jan & Mikielewicz, Dariusz & Jakubowska, Blanka, 2018. "Performance of the domestic micro ORC equipped with the shell-and-tube condenser with minichannels," Energy, Elsevier, vol. 157(C), pages 853-861.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ilya A. Lysak & Galina V. Lysak & Vladimir Yu. Konyukhov & Alena A. Stupina & Valeriy E. Gozbenko & Andrei S. Yamshchikov, 2023. "Efficiency Optimization of an Annular-Nozzle Air Ejector under the Influence of Structural and Operating Parameters," Mathematics, MDPI, vol. 11(14), pages 1-18, July.
    2. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Hanna Koshlak & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) Systems Designing to Forecast Onsite Operation—Part 2: Phenomenological Simulation to Recoup Refrigeration Energy," Energies, MDPI, vol. 16(4), pages 1-17, February.
    3. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Anatoliy Pavlenko & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) System Design to Forecast on Site Operation—Part 3: Optimal Solutions to Minimize Sizes," Energies, MDPI, vol. 16(5), pages 1-18, March.

    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. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Hanna Koshlak & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) Systems Designing to Forecast Onsite Operation—Part 2: Phenomenological Simulation to Recoup Refrigeration Energy," Energies, MDPI, vol. 16(4), pages 1-17, February.
    2. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Anatoliy Pavlenko & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) System Design to Forecast on Site Operation—Part 3: Optimal Solutions to Minimize Sizes," Energies, MDPI, vol. 16(5), pages 1-18, March.
    3. Zongming Yang & Roman Radchenko & Mykola Radchenko & Andrii Radchenko & Victoria Kornienko, 2022. "Cooling Potential of Ship Engine Intake Air Cooling and Its Realization on the Route Line," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    4. Zidong Yu & Terese Løvås & Dmytro Konovalov & Eugeniy Trushliakov & Mykola Radchenko & Halina Kobalava & Roman Radchenko & Andrii Radchenko, 2022. "Investigation of Thermopressor with Incomplete Evaporation for Gas Turbine Intercooling Systems," Energies, MDPI, vol. 16(1), pages 1-19, December.
    5. Victoria Kornienko & Mykola Radchenko & Andrii Radchenko & Hanna Koshlak & Roman Radchenko, 2023. "Enhancing the Fuel Efficiency of Cogeneration Plants by Fuel Oil Afterburning in Exhaust Gas before Boilers," Energies, MDPI, vol. 16(18), pages 1-20, September.
    6. Andrii Radchenko & Eugeniy Trushliakov & Krzysztof Kosowski & Dariusz Mikielewicz & Mykola Radchenko, 2020. "Innovative Turbine Intake Air Cooling Systems and Their Rational Designing," Energies, MDPI, vol. 13(23), pages 1-22, November.
    7. Mykola Radchenko & Zongming Yang & Anatoliy Pavlenko & Andrii Radchenko & Roman Radchenko & Hanna Koshlak & Guozhi Bao, 2023. "Increasing the Efficiency of Turbine Inlet Air Cooling in Climatic Conditions of China through Rational Designing—Part 1: A Case Study for Subtropical Climate: General Approaches and Criteria," Energies, MDPI, vol. 16(17), pages 1-16, August.
    8. Serhiy Serbin & Mykola Radchenko & Anatoliy Pavlenko & Kateryna Burunsuz & Andrii Radchenko & Daifen Chen, 2023. "Improving Ecological Efficiency of Gas Turbine Power System by Combusting Hydrogen and Hydrogen-Natural Gas Mixtures," Energies, MDPI, vol. 16(9), pages 1-23, April.
    9. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    10. Zongming Yang & Mykola Radchenko & Andrii Radchenko & Dariusz Mikielewicz & Roman Radchenko, 2022. "Gas Turbine Intake Air Hybrid Cooling Systems and a New Approach to Their Rational Designing," Energies, MDPI, vol. 15(4), pages 1-18, February.
    11. Freschi, F. & Giaccone, L. & Lazzeroni, P. & Repetto, M., 2013. "Economic and environmental analysis of a trigeneration system for food-industry: A case study," Applied Energy, Elsevier, vol. 107(C), pages 157-172.
    12. Zongming Yang & Volodymyr Korobko & Mykola Radchenko & Roman Radchenko, 2022. "Improving Thermoacoustic Low-Temperature Heat Recovery Systems," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    13. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    14. Kim, Min-Hwi & Dong, Hae-Won & Park, Joon-Young & Jeong, Jae-Weon, 2016. "Primary energy savings in desiccant and evaporative cooling-assisted 100% outdoor air system combined with a fuel cell," Applied Energy, Elsevier, vol. 180(C), pages 446-456.
    15. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei, 2016. "Optimal structural design of residential power and heat supply devices in consideration of operational and capital recovery constraints," Applied Energy, Elsevier, vol. 163(C), pages 118-133.
    16. Armellini, A. & Daniotti, S. & Pinamonti, P. & Reini, M., 2018. "Evaluation of gas turbines as alternative energy production systems for a large cruise ship to meet new maritime regulations," Applied Energy, Elsevier, vol. 211(C), pages 306-317.
    17. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    18. Pina, Eduardo A. & Lozano, Miguel A. & Ramos, José C. & Serra, Luis M., 2020. "Tackling thermal integration in the synthesis of polygeneration systems for buildings," Applied Energy, Elsevier, vol. 269(C).
    19. Hu, Mengqi & Cho, Heejin, 2014. "A probability constrained multi-objective optimization model for CCHP system operation decision support," Applied Energy, Elsevier, vol. 116(C), pages 230-242.
    20. Tan, Raymond R. & Cayamanda, Christina D. & Aviso, Kathleen B., 2014. "P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability," Applied Energy, Elsevier, vol. 135(C), pages 402-406.

    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:15:y:2022:i:22:p:8774-:d:979869. 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.