IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i9p10082-10105d55826.html
   My bibliography  Save this article

Integrated Electrical and Thermal Grid Facility - Testing of Future Microgrid Technologies

Author

Listed:
  • Sundar Raj Thangavelu

    (Experimental Power Grid Centre, Institute of Chemical and Engineering Sciences, 3 Pesek Road, Singapore 627590, Singapore
    These authors contributed equally to this work.)

  • Inam Ullah Nutkani

    (Experimental Power Grid Centre, Institute of Chemical and Engineering Sciences, 3 Pesek Road, Singapore 627590, Singapore
    These authors contributed equally to this work.)

  • Chia Meng Hwee

    (Experimental Power Grid Centre, Institute of Chemical and Engineering Sciences, 3 Pesek Road, Singapore 627590, Singapore
    These authors contributed equally to this work.)

  • Aung Myat

    (Experimental Power Grid Centre, Institute of Chemical and Engineering Sciences, 3 Pesek Road, Singapore 627590, Singapore
    These authors contributed equally to this work.)

  • Ashwin Khambadkone

    (Experimental Power Grid Centre, Institute of Chemical and Engineering Sciences, 3 Pesek Road, Singapore 627590, Singapore
    These authors contributed equally to this work.)

Abstract

This paper describes the Experimental Power Grid Centre (EPGC) microgrid test facility, which was developed to enable research, development and testing for a wide range of distributed generation and microgrid technologies. The EPGC microgrid facility comprises a integrated electrical and thermal grid with a flexible and configurable architecture, and includes various distributed energy resources and emulators, such as generators, renewable, energy storage technologies and programmable load banks. The integrated thermal grid provides an opportunity to harness waste heat produced by the generators for combined heat, power and cooling applications, and support research in optimization of combined electrical-thermal systems. Several case studies are presented to demonstrate the testing of different control and operation strategies for storage systems in grid-connected and islanded microgrids. One of the case studies also demonstrates an integrated thermal grid to convert waste heat to useful energy, which thus far resulted in a higher combined energy efficiency. Experiment results confirm that the facility enables testing and evaluation of grid technologies and practical problems that may not be apparent in a computer simulated environment.

Suggested Citation

  • Sundar Raj Thangavelu & Inam Ullah Nutkani & Chia Meng Hwee & Aung Myat & Ashwin Khambadkone, 2015. "Integrated Electrical and Thermal Grid Facility - Testing of Future Microgrid Technologies," Energies, MDPI, vol. 8(9), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:10082-10105:d:55826
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/9/10082/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/9/10082/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sanaye, Sepehr & Sarrafi, Ahmadreza, 2015. "Optimization of combined cooling, heating and power generation by a solar system," Renewable Energy, Elsevier, vol. 80(C), pages 699-712.
    2. Gowtham Mohan & Sujata Dahal & Uday Kumar & Andrew Martin & Hamid Kayal, 2014. "Development of Natural Gas Fired Combined Cycle Plant for Tri-Generation of Power, Cooling and Clean Water Using Waste Heat Recovery: Techno-Economic Analysis," Energies, MDPI, vol. 7(10), pages 1-24, October.
    3. Murphy, M.D. & O’Mahony, M.J. & Upton, J., 2015. "Comparison of control systems for the optimisation of ice storage in a dynamic real time electricity pricing environment," Applied Energy, Elsevier, vol. 149(C), pages 392-403.
    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. Van-Hai Bui & Akhtar Hussain & Hak-Man Kim & Yong-Hoon Im, 2018. "Optimal Energy Management of Building Microgrid Networks in Islanded Mode Considering Adjustable Power and Component Outages," Energies, MDPI, vol. 11(9), pages 1-22, September.
    2. Yongming Zhang & Zhe Yan & Feng Yuan & Jiawei Yao & Bao Ding, 2018. "A Novel Reconstruction Approach to Elevator Energy Conservation Based on a DC Micro-Grid in High-Rise Buildings," Energies, MDPI, vol. 12(1), pages 1-17, December.
    3. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    4. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim & Yong-Hoon Im & Jae-Yong Lee, 2017. "Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations," Energies, MDPI, vol. 10(6), pages 1-21, June.

    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. Anvari, Simin & Mahian, Omid & Taghavifar, Hadi & Wongwises, Somchai & Desideri, Umberto, 2020. "4E analysis of a modified multigeneration system designed for power, heating/cooling, and water desalination," Applied Energy, Elsevier, vol. 270(C).
    2. Alobaid, Mohammad & Hughes, Ben & Calautit, John Kaiser & O’Connor, Dominic & Heyes, Andrew, 2017. "A review of solar driven absorption cooling with photovoltaic thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 728-742.
    3. Yang, Fubin & Zhang, Hongguang & Bei, Chen & Song, Songsong & Wang, Enhua, 2015. "Parametric optimization and performance analysis of ORC (organic Rankine cycle) for diesel engine waste heat recovery with a fin-and-tube evaporator," Energy, Elsevier, vol. 91(C), pages 128-141.
    4. Hao, Ling & Wei, Mingshan & Xu, Fei & Yang, Xiaochen & Meng, Jia & Song, Panpan & Min, Yong, 2020. "Study of operation strategies for integrating ice-storage district cooling systems into power dispatch for large-scale hydropower utilization," Applied Energy, Elsevier, vol. 261(C).
    5. Fidelis. I. Abam & Ogheneruona E. Diemuodeke & Ekwe. B. Ekwe & Mohammed Alghassab & Olusegun D. Samuel & Zafar A. Khan & Muhammad Imran & Muhammad Farooq, 2020. "Exergoeconomic and Environmental Modeling of Integrated Polygeneration Power Plant with Biomass-Based Syngas Supplemental Firing," Energies, MDPI, vol. 13(22), pages 1-27, November.
    6. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    7. Si, Pengfei & Feng, Ya & Lv, Yuexia & Rong, Xiangyang & Pan, Yungang & Liu, Xichen & Yan, Jinyue, 2017. "An optimization method applied to active solar energy systems for buildings in cold plateau areas – The case of Lhasa," Applied Energy, Elsevier, vol. 194(C), pages 487-498.
    8. Ekaterina Sokolova & Khashayar Sadeghi & Seyed Hadi Ghazaie & Dario Barsi & Francesca Satta & Pietro Zunino, 2022. "Feasibility of Hybrid Desalination Plants Coupled with Small Gas Turbine CHP Systems," Energies, MDPI, vol. 15(10), pages 1-13, May.
    9. Wang, Chengshan & Jiao, Bingqi & Guo, Li & Tian, Zhe & Niu, Jide & Li, Siwei, 2016. "Robust scheduling of building energy system under uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 366-376.
    10. Chen, C. & Li, Y.P. & Huang, G.H., 2016. "Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China," Renewable Energy, Elsevier, vol. 86(C), pages 1161-1177.
    11. Mohan, Gowtham & Uday Kumar, N.T. & Pokhrel, Manoj Kumar & Martin, Andrew, 2016. "Experimental investigation of a novel solar thermal polygeneration plant in United Arab Emirates," Renewable Energy, Elsevier, vol. 91(C), pages 361-373.
    12. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    13. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2021. "Integrating renewables into stand-alone hybrid systems meeting electric, heating, and cooling loads: A case study," Renewable Energy, Elsevier, vol. 180(C), pages 1222-1236.
    14. Mohan, Gowtham & Kumar, Uday & Pokhrel, Manoj Kumar & Martin, Andrew, 2016. "A novel solar thermal polygeneration system for sustainable production of cooling, clean water and domestic hot water in United Arab Emirates: Dynamic simulation and economic evaluation," Applied Energy, Elsevier, vol. 167(C), pages 173-188.
    15. Nikolaos Kolokas & Dimosthenis Ioannidis & Dimitrios Tzovaras, 2021. "Multi-Step Energy Demand and Generation Forecasting with Confidence Used for Specification-Free Aggregate Demand Optimization," Energies, MDPI, vol. 14(11), pages 1-36, May.
    16. Zabala, Laura & Febres, Jesus & Sterling, Raymond & López, Susana & Keane, Marcus, 2020. "Virtual testbed for model predictive control development in district cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    17. Daniele Testi & Paolo Conti & Eva Schito & Luca Urbanucci & Francesco D’Ettorre, 2019. "Synthesis and Optimal Operation of Smart Microgrids Serving a Cluster of Buildings on a Campus with Centralized and Distributed Hybrid Renewable Energy Units," Energies, MDPI, vol. 12(4), pages 1-17, February.
    18. Ravanbakhsh, Mohammad & Gholizadeh, Mohammad & Rezapour, Mojtaba, 2023. "3E thermodynamic modeling and optimization a novel of ARS-CPVT with the effect of inserting a turbulator in the solar collector," Renewable Energy, Elsevier, vol. 209(C), pages 591-607.
    19. Stanek, Bartosz & Grzywnowicz, Krzysztof & Bartela, Łukasz & Węcel, Daniel & Uchman, Wojciech, 2021. "A system analysis of hybrid solar PTC-CPV absorber operation," Renewable Energy, Elsevier, vol. 174(C), pages 635-653.
    20. Shine, P. & Scully, T. & Upton, J. & Murphy, M.D., 2019. "Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine," Applied Energy, Elsevier, vol. 250(C), pages 1110-1119.

    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:8:y:2015:i:9:p:10082-10105:d:55826. 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.