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Integrated biomass and solar town: Incorporation of load shifting and energy storage

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  • Hashim, Haslenda
  • Ho, Wai Shin
  • Lim, Jeng Shiun
  • Macchietto, Sandro

Abstract

The IBS (Integrated Biomass Solar) town is a concept which encourages local community to utilize biomass waste comprehensively with strong ties between community and local stakeholders. This paper discusses an IBS model and solution for an electrically self-sufficient eco-village with and without LS (load shifting). ES (energy storage) is also incorporated to help reduce electricity demand during peak periods and smooth variations in power generation by variable generation of solar power. Application to a realistic case study shows that substantial technical and economic benefits are achieved through the implementation of IBS with LS and ES. In this study, the LS is used mainly to increase demand during periods of high supply and also shift the load to intervals with low demand. This reduces the size of ES significantly, where the load is subject to distinct weekday and weekend profiles. The study shows that highly competitive electricity prices are obtained and the concept offers the opportunity to spur economic growth and environmental protection through energy efficiency improvement and deployment of low-carbon technologies.

Suggested Citation

  • Hashim, Haslenda & Ho, Wai Shin & Lim, Jeng Shiun & Macchietto, Sandro, 2014. "Integrated biomass and solar town: Incorporation of load shifting and energy storage," Energy, Elsevier, vol. 75(C), pages 31-39.
    • Handle: RePEc:eee:energy:v:75:y:2014:i:c:p:31-39
    DOI: 10.1016/j.energy.2014.04.086
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    2. Ho, Wai Shin & Macchietto, Sandro & Lim, Jeng Shiun & Hashim, Haslenda & Muis, Zarina Ab. & Liu, Wen Hui, 2016. "Optimal scheduling of energy storage for renewable energy distributed energy generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1100-1107.
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    5. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    6. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    7. Liu, Wen Hui & Ho, Wai Shin & Lee, Ming Yang & Hashim, Haslenda & Lim, Jeng Shiun & Klemeš, Jiří J. & Mah, Angel Xin Yee, 2019. "Development and optimization of an integrated energy network with centralized and decentralized energy systems using mathematical modelling approach," Energy, Elsevier, vol. 183(C), pages 617-629.
    8. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    9. Mohammad Rozali, Nor Erniza & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Klemeš, Jiří Jaromír, 2015. "Peak-off-peak load shifting for hybrid power systems based on Power Pinch Analysis," Energy, Elsevier, vol. 90(P1), pages 128-136.
    10. Ji, Ling & Liang, Xiaolin & Xie, Yulei & Huang, Guohe & Wang, Bing, 2021. "Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages," Energy, Elsevier, vol. 225(C).
    11. Theo, Wai Lip & Lim, Jeng Shiun & Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Ho, Wai Shin & Abdul-Manan, Zainuddin, 2016. "An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park," Energy, Elsevier, vol. 116(P2), pages 1423-1441.
    12. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries," Energy, Elsevier, vol. 86(C), pages 354-368.
    13. Zhu, Mengshu & Fang, Jiakun & Ai, Xiaomeng & Cui, Shichang & Feng, Yuang & Li, Peng & Zhang, Yihan & Zheng, Yongle & Chen, Zhe & Wen, Jinyu, 2023. "A comprehensive methodology for optimal planning of remote integrated energy systems," Energy, Elsevier, vol. 285(C).
    14. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.
    15. Moharramian, Anahita & Soltani, Saeed & Rosen, Marc A. & Mahmoudi, S.M.S. & Bhattacharya, Tanushree, 2019. "Modified exergy and modified exergoeconomic analyses of a solar based biomass co-fired cycle with hydrogen production," Energy, Elsevier, vol. 167(C), pages 715-729.

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