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Life-cycle cost benefit analysis and optimal design of small scale active storage system for building demand limiting

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  • Cui, Borui
  • Wang, Shengwei
  • Sun, Yongjun

Abstract

This paper presents a quantitative analysis on the life-cycle cost saving potentials of active cold storage systems concerning the operational cost, initial investment and the space cost. A simulation-based optimal design method is developed and used to optimize the storage capacity and analyze the impact of the capacity on the life-cycle cost saving potentials. Using the actual load profiles of three real buildings of different sizes, the life-cycle cost saving potentials under demand limiting control are investigated under Hong Kong electricity price structure. The optimal storage capacities, monthly/annual operational cost savings and corresponding peak demand set-points are obtained from using the marginal decision rule. Results show that small scale storages can offer substantial annual net cost saving. In addition, it can help the grid to achieve higher grid power reliability by enhancing the demand response ability of buildings.

Suggested Citation

  • Cui, Borui & Wang, Shengwei & Sun, Yongjun, 2014. "Life-cycle cost benefit analysis and optimal design of small scale active storage system for building demand limiting," Energy, Elsevier, vol. 73(C), pages 787-800.
    • Handle: RePEc:eee:energy:v:73:y:2014:i:c:p:787-800
    DOI: 10.1016/j.energy.2014.06.084
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    1. Lee, Wen-Shing & Chen, Yi -Ting & Wu, Ting-Hau, 2009. "Optimization for ice-storage air-conditioning system using particle swarm algorithm," Applied Energy, Elsevier, vol. 86(9), pages 1589-1595, September.
    2. Barrett, Alan & Kearney, Ide & Goggin, Jean & Conefrey, Thomas, 2010. "Quarterly Economic Commentary, Summer 2010," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20102, march.
    3. Castell, A. & Belusko, M. & Bruno, F. & Cabeza, L.F., 2011. "Maximisation of heat transfer in a coil in tank PCM cold storage system," Applied Energy, Elsevier, vol. 88(11), pages 4120-4127.
    4. Barrett, Alan & Kearney, Ide & Conefrey, Thomas & O'Sullivan, Cormac, 2010. "Quarterly Economic Commentary, Autumn 2010," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20103, march.
    5. Okada, Akira, 2010. "Toshiji Kawagoe, Experimental Economics," Economic Review, Hitotsubashi University, vol. 61(1), pages 85-87, January.
    6. Barrett, Alan & Kearney, Ide & Conefrey, Thomas & O'Sullivan, Cormac, 2010. "Quarterly Economic Commentary, Winter 2010," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20104, march.
    7. Xiao, Fu & Wang, Shengwei, 2009. "Progress and methodologies of lifecycle commissioning of HVAC systems to enhance building sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1144-1149, June.
    8. Ashok, S. & Banerjee, R., 2003. "Optimal cool storage capacity for load management," Energy, Elsevier, vol. 28(2), pages 115-126.
    9. anonymous, 2010. "The economic importance of being educated," Forefront, Federal Reserve Bank of Cleveland, issue Fall, pages 6-9.
    10. Ronie Navon & Hillel Arkin & Isaac Burg, 1997. "Economic evaluation of HVAC systems with ice storage designed using an optimization technique," Construction Management and Economics, Taylor & Francis Journals, vol. 15(5), pages 429-439.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Cui, Borui & Gao, Dian-ce & Wang, Shengwei & Xue, Xue, 2015. "Effectiveness and life-cycle cost-benefit analysis of active cold storages for building demand management for smart grid applications," Applied Energy, Elsevier, vol. 147(C), pages 523-535.
    2. Gert van Wyk & Vinessa Naidoo & E. Innocents Edoun, 2021. "Guiding Principles for Establishing Energy Consumption Reduction and Increase Production Performance in Manufacturing," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 502-515.
    3. Kovacic, Iva & Zoller, Veronika, 2015. "Building life cycle optimization tools for early design phases," Energy, Elsevier, vol. 92(P3), pages 409-419.
    4. Xu, Lei & Wang, Shengwei & Xiao, Fu, 2019. "An adaptive optimal monthly peak building demand limiting strategy considering load uncertainty," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Ren, Haoshan & Gao, Dian-ce & Ma, Zhenjun & Zhang, Sheng & Sun, Yongjun, 2024. "Data-driven surrogate optimization for deploying heterogeneous multi-energy storage to improve demand response performance at building cluster level," Applied Energy, Elsevier, vol. 356(C).
    6. Gao, Dian-ce & Sun, Yongjun & Lu, Yuehong, 2015. "A robust demand response control of commercial buildings for smart grid under load prediction uncertainty," Energy, Elsevier, vol. 93(P1), pages 275-283.
    7. Tang, Rui & Wang, Shengwei, 2019. "Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids," Applied Energy, Elsevier, vol. 242(C), pages 873-882.
    8. Huang, Pei & Fan, Cheng & Zhang, Xingxing & Wang, Jiayuan, 2019. "A hierarchical coordinated demand response control for buildings with improved performances at building group," Applied Energy, Elsevier, vol. 242(C), pages 684-694.
    9. Cui, Borui & Gao, Dian-ce & Xiao, Fu & Wang, Shengwei, 2017. "Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings," Applied Energy, Elsevier, vol. 201(C), pages 382-396.

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