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Design optimization of a novel cryo-polygeneration demonstrator developed in Singapore – Techno-economic feasibility study for a cooling dominated tropical climate

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  • Tafone, Alessio
  • Raj Thangavelu, Sundar
  • Morita, Shigenori
  • Romagnoli, Alessandro

Abstract

The global growth in demand for space cooling is becoming a pressing and critical energy issue potentially having a major impact on the electricity system and the environment. Due to their capabilities to efficiently provide multiple energy services (i.e. mainly electricity, cooling and heat) for urban districts like universities and hospitals, decentralized polygeneration systems can significantly contribute to tackle this issue with several energetic, economic and environmental benefits. Indeed, their impact on both energy efficiency and emissions reduction might be disruptive especially in urban districts located in a tropical region, where the cooling demand is approximately stationary throughout the whole year. Often overlooked by current studies, a systematic and generalized research with an on-site real application on the decarbonization in tropical climate by means of decentralized polygeneration systems is still lacking. This study investigated the techno-economic and environmental benefits of renewable energy sources, storage units and time-varying loads (electricity and cold) on the performance of a real project, i.e. a novel cryo-polygeneration system in a cooling dominated environment. Expected to be in operation in 2023 at the NTU campus located in Singapore, the system is designed to become the first showcase of systems integration that can be exported overseas as an urban solution for tropical climate. Diverse design scenarios and case studies (university and commercial buildings) were firstly dynamically modeled in TRNSYS environment and subsequently optimized in GenOpt software to determine the optimal size of critical components such as gas turbine, absorption chiller, vapour compression chiller, cold thermal energy storage and solar PV units with electrical energy storage as well as the impact of different load profiles on the techno-economic and environmental analysis. For both case studies the optimal design capacities derived confirms higher efficiency and economic performance than the reference system, i.e., a baseline case scenario where all the demands are supplied by the electricity in a grid connected environment. Indeed, the results show that the cryo-polygeneration systems including both renewables and cold thermal energy storage achieve more than 38% and 40 % total annualized cost savings and up to 19 % CO2 reduction, when compared to the baseline case scenario. The main outcomes are of great interest to academia and industry and contribute significantly to developing an efficient, cost-effective and environmentally friendly decentralized cryo-polygeneration system.

Suggested Citation

  • Tafone, Alessio & Raj Thangavelu, Sundar & Morita, Shigenori & Romagnoli, Alessandro, 2023. "Design optimization of a novel cryo-polygeneration demonstrator developed in Singapore – Techno-economic feasibility study for a cooling dominated tropical climate," Applied Energy, Elsevier, vol. 330(PB).
    • Handle: RePEc:eee:appene:v:330:y:2023:i:pb:s0306261922011734
    DOI: 10.1016/j.apenergy.2022.119916
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    as
    1. Ebrahimi, Armin & Ziabasharhagh, Masoud, 2017. "Optimal design and integration of a cryogenic Air Separation Unit (ASU) with Liquefied Natural Gas (LNG) as heat sink, thermodynamic and economic analyses," Energy, Elsevier, vol. 126(C), pages 868-885.
    2. Jun Dong & Yaoyu Zhang & Yuanyuan Wang & Yao Liu, 2021. "A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR," Sustainability, MDPI, vol. 13(18), pages 1-28, September.
    3. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    4. Davide Astiaso Garcia & Fabrizio Cumo & Mariagrazia Tiberi & Valentina Sforzini & Giuseppe Piras, 2016. "Cost-Benefit Analysis for Energy Management in Public Buildings: Four Italian Case Studies," Energies, MDPI, vol. 9(7), pages 1-17, July.
    5. Muthalagappan Narayanan & Aline Ferreira de Lima & André Felipe Oliveira de Azevedo Dantas & Walter Commerell, 2020. "Development of a Coupled TRNSYS-MATLAB Simulation Framework for Model Predictive Control of Integrated Electrical and Thermal Residential Renewable Energy System," Energies, MDPI, vol. 13(21), pages 1-29, November.
    6. Alexandre K. Magnan & Hans-Otto Pörtner & Virginie K. E. Duvat & Matthias Garschagen & Valeria A. Guinder & Zinta Zommers & Ove Hoegh-Guldberg & Jean-Pierre Gattuso, 2021. "Estimating the global risk of anthropogenic climate change," Nature Climate Change, Nature, vol. 11(10), pages 879-885, October.
    7. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    8. Rupert F. Stuart-Smith & Friederike E. L. Otto & Aisha I. Saad & Gaia Lisi & Petra Minnerop & Kristian Cedervall Lauta & Kristin Zwieten & Thom Wetzer, 2021. "Filling the evidentiary gap in climate litigation," Nature Climate Change, Nature, vol. 11(8), pages 651-655, August.
    9. Comodi, Gabriele & Carducci, Francesco & Sze, Jia Yin & Balamurugan, Nagarajan & Romagnoli, Alessandro, 2017. "Storing energy for cooling demand management in tropical climates: A techno-economic comparison between different energy storage technologies," Energy, Elsevier, vol. 121(C), pages 676-694.
    10. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    11. DeForest, Nicholas & Mendes, Gonçalo & Stadler, Michael & Feng, Wei & Lai, Judy & Marnay, Chris, 2014. "Optimal deployment of thermal energy storage under diverse economic and climate conditions," Applied Energy, Elsevier, vol. 119(C), pages 488-496.
    12. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    13. Philip D. A. Kraaijenbrink & Emmy E. Stigter & Tandong Yao & Walter W. Immerzeel, 2021. "Climate change decisive for Asia’s snow meltwater supply," Nature Climate Change, Nature, vol. 11(7), pages 591-597, July.
    14. Le, Si & Lee, Jui-Yuan & Chen, Cheng-Liang, 2018. "Waste cold energy recovery from liquefied natural gas (LNG) regasification including pressure and thermal energy," Energy, Elsevier, vol. 152(C), pages 770-787.
    15. Romero Gómez, M. & Ferreiro Garcia, R. & Romero Gómez, J. & Carbia Carril, J., 2014. "Review of thermal cycles exploiting the exergy of liquefied natural gas in the regasification process," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 781-795.
    16. Benjamin M. Kraemer & Rachel M. Pilla & R. Iestyn Woolway & Orlane Anneville & Syuhei Ban & William Colom-Montero & Shawn P. Devlin & Martin T. Dokulil & Evelyn E. Gaiser & K. David Hambright & Dag O., 2021. "Climate change drives widespread shifts in lake thermal habitat," Nature Climate Change, Nature, vol. 11(6), pages 521-529, June.
    17. Sofia Ribeiro & Audrey Limoges & Guillaume Massé & Kasper L. Johansen & William Colgan & Kaarina Weckström & Rebecca Jackson & Eleanor Georgiadis & Naja Mikkelsen & Antoon Kuijpers & Jesper Olsen & St, 2021. "Vulnerability of the North Water ecosystem to climate change," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    18. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    19. Juan P. Monzon & Maja A. Slingerland & Suroso Rahutomo & Fahmuddin Agus & Thomas Oberthür & José F. Andrade & Antoine Couëdel & Juan I. Rattalino Edreira & Willem Hekman & Rob van den Beuken & Fandi H, 2021. "Fostering a climate-smart intensification for oil palm," Nature Sustainability, Nature, vol. 4(7), pages 595-601, July.
    20. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    21. Thomas Thaler & Patrick A. Witte & Thomas Hartmann & Stan C. M. Geertman, 2021. "Smart Urban Governance for Climate Change Adaptation," Urban Planning, Cogitatio Press, vol. 6(3), pages 223-226.
    22. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    23. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).
    24. Lena Chan & Kenneth Er & Elizabeth Maruma Mrema, 2022. "Apply Singapore Index on Cities’ Biodiversity at scale," Nature, Nature, vol. 602(7898), pages 578-578, February.
    25. Mazzoni, Stefano & Sze, Jia Yin & Nastasi, Benedetto & Ooi, Sean & Desideri, Umberto & Romagnoli, Alessandro, 2021. "A techno-economic assessment on the adoption of latent heat thermal energy storage systems for district cooling optimal dispatch & operations," Applied Energy, Elsevier, vol. 289(C).
    26. Ximo Masip & Emilio Navarro-Peris & José M. Corberán, 2020. "Influence of the Thermal Energy Storage Strategy on the Performance of a Booster Heat Pump for Domestic Hot Water Production System Based on the Use of Low Temperature Heat Source," Energies, MDPI, vol. 13(24), pages 1-24, December.
    27. Yi Xi & Shushi Peng & Philippe Ciais & Youhua Chen, 2021. "Future impacts of climate change on inland Ramsar wetlands," Nature Climate Change, Nature, vol. 11(1), pages 45-51, January.
    28. Tafone, Alessio & Borri, Emiliano & Cabeza, Luisa F. & Romagnoli, Alessandro, 2021. "Innovative cryogenic Phase Change Material (PCM) based cold thermal energy storage for Liquid Air Energy Storage (LAES) – Numerical dynamic modelling and experimental study of a packed bed unit," Applied Energy, Elsevier, vol. 301(C).
    29. Sara Ghaem Sigarchian & Anders Malmquist & Viktoria Martin, 2018. "Design Optimization of a Complex Polygeneration System for a Hospital," Energies, MDPI, vol. 11(5), pages 1-24, April.
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