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Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China

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  • Liu, Liuchen
  • Zhu, Tong
  • Pan, Yu
  • Wang, Hai

Abstract

Chongming’s current energy system is highly import-dependent and the distributed energy system with high renewable energy penetration should be taken into consideration. In this paper, a simulation model based on EnergyPLAN software with 2014 as the reference year is developed to represent Chongming’s present energy structure. Four future scenarios which propose different further energy constructions have been observed. Results show that reductions in primary energy consumption, electricity import, annual operating costs as well as CO2 emissions are realizable when switching to an energy system with a high share of renewable sources combining natural gas CHP (Combined Heating and Power). After preliminary discussions, the feasibility of different renewable sources penetration are analyzed through calculating the excess electricity production (CEEP). The estimated optimal combination is generated when the PV fraction is 20% while wind energy fraction is 80%. Moreover, the analyses have taken into account that several flexible techniques are needed in order to balance supply and demand and to ensure the grid voltage and frequency stabilities. As a result, through the recommended three techniques, the excess production can be avoided as far as a renewable energy input of up to nearly 60%.

Suggested Citation

  • Liu, Liuchen & Zhu, Tong & Pan, Yu & Wang, Hai, 2017. "Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China," Applied Energy, Elsevier, vol. 192(C), pages 329-336.
  • Handle: RePEc:eee:appene:v:192:y:2017:i:c:p:329-336
    DOI: 10.1016/j.apenergy.2016.07.049
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    as
    1. Wang, Ting & Lin, Boqiang, 2014. "China's natural gas consumption and subsidies—From a sector perspective," Energy Policy, Elsevier, vol. 65(C), pages 541-551.
    2. Zhang, Qi & Li, Zhan & Wang, Ge & Li, Hailong, 2016. "Study on the impacts of natural gas supply cost on gas flow and infrastructure deployment in China," Applied Energy, Elsevier, vol. 162(C), pages 1385-1398.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    5. Shen, Zhiwei & Ritter, Matthias, 2016. "Forecasting volatility of wind power production," Applied Energy, Elsevier, vol. 176(C), pages 295-308.
    6. Falahati, Saber & Taher, Seyed Abbas & Shahidehpour, Mohammad, 2016. "Grid frequency control with electric vehicles by using of an optimized fuzzy controller," Applied Energy, Elsevier, vol. 178(C), pages 918-928.
    7. Li, Yajun & Xia, Yan, 2013. "DES/CCHP: The best utilization mode of natural gas for China’s low carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 477-483.
    8. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Lund, Henrik & Zhang, Xiliang, 2015. "Heat roadmap China: New heat strategy to reduce energy consumption towards 2030," Energy, Elsevier, vol. 81(C), pages 274-285.
    9. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Samuelsen, Scott, 2012. "Metrics for evaluating the impacts of intermittent renewable generation on utility load-balancing," Energy, Elsevier, vol. 42(1), pages 546-562.
    10. Touretzky, Cara R. & McGuffin, Dana L. & Ziesmer, Jena C. & Baldea, Michael, 2016. "The effect of distributed electricity generation using natural gas on the electric and natural gas grids," Applied Energy, Elsevier, vol. 177(C), pages 500-514.
    11. Ma, Tao & Østergaard, Poul Alberg & Lund, Henrik & Yang, Hongxing & Lu, Lin, 2014. "An energy system model for Hong Kong in 2020," Energy, Elsevier, vol. 68(C), pages 301-310.
    12. Lund, Rasmus & Mathiesen, Brian Vad, 2015. "Large combined heat and power plants in sustainable energy systems," Applied Energy, Elsevier, vol. 142(C), pages 389-395.
    13. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2011. "Large-scale integration of wind power into the existing Chinese energy system," Energy, Elsevier, vol. 36(8), pages 4753-4760.
    14. Chaudhry, Nikhil & Hughes, Larry, 2012. "Forecasting the reliability of wind-energy systems: A new approach using the RL technique," Applied Energy, Elsevier, vol. 96(C), pages 422-430.
    15. Kosugi, Takanobu & Tokimatsu, Koji & Zhou, Weisheng, 2005. "An economic analysis of a clean-development mechanism project: a case introducing a natural gas-fired combined heat-and-power facility in a Chinese industrial area," Applied Energy, Elsevier, vol. 80(2), pages 197-212, February.
    16. Kapsali, M. & Anagnostopoulos, J.S. & Kaldellis, J.K., 2012. "Wind powered pumped-hydro storage systems for remote islands: A complete sensitivity analysis based on economic perspectives," Applied Energy, Elsevier, vol. 99(C), pages 430-444.
    17. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    18. Alberg Østergaard, Poul, 2003. "Transmission-grid requirements with scattered and fluctuating renewable electricity-sources," Applied Energy, Elsevier, vol. 76(1-3), pages 247-255, September.
    19. Ziel, Florian & Croonenbroeck, Carsten & Ambach, Daniel, 2016. "Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity," Applied Energy, Elsevier, vol. 177(C), pages 285-297.
    20. Yan, Ruifeng & Saha, Tapan Kumar & Modi, Nilesh & Masood, Nahid-Al & Mosadeghy, Mehdi, 2015. "The combined effects of high penetration of wind and PV on power system frequency response," Applied Energy, Elsevier, vol. 145(C), pages 320-330.
    21. Sun, Hao & Luo, Xing & Wang, Jihong, 2015. "Feasibility study of a hybrid wind turbine system – Integration with compressed air energy storage," Applied Energy, Elsevier, vol. 137(C), pages 617-628.
    22. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    23. Cho, Heejin & Mago, Pedro J. & Luck, Rogelio & Chamra, Louay M., 2009. "Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme," Applied Energy, Elsevier, vol. 86(12), pages 2540-2549, December.
    24. Chen, Min & Lund, Henrik & Rosendahl, Lasse A. & Condra, Thomas J., 2010. "Energy efficiency analysis and impact evaluation of the application of thermoelectric power cycle to today's CHP systems," Applied Energy, Elsevier, vol. 87(4), pages 1231-1238, April.
    25. Lund, Henrik & Duić, Neven & Krajac˘ić, Goran & Graça Carvalho, Maria da, 2007. "Two energy system analysis models: A comparison of methodologies and results," Energy, Elsevier, vol. 32(6), pages 948-954.
    26. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    27. Zhang, Xiaochun & Myhrvold, Nathan P. & Hausfather, Zeke & Caldeira, Ken, 2016. "Climate benefits of natural gas as a bridge fuel and potential delay of near-zero energy systems," Applied Energy, Elsevier, vol. 167(C), pages 317-322.
    28. Madlener, Reinhard & Latz, Jochen, 2013. "Economics of centralized and decentralized compressed air energy storage for enhanced grid integration of wind power," Applied Energy, Elsevier, vol. 101(C), pages 299-309.
    29. Salgi, Georges & Lund, Henrik, 2008. "System behaviour of compressed-air energy-storage in Denmark with a high penetration of renewable energy sources," Applied Energy, Elsevier, vol. 85(4), pages 182-189, April.
    30. Ren, Hongbo & Zhou, Weisheng & Gao, Weijun, 2012. "Optimal option of distributed energy systems for building complexes in different climate zones in China," Applied Energy, Elsevier, vol. 91(1), pages 156-165.
    31. Shaw, Dein & Cai, Jyun-Yu & Liu, Chien-Ting, 2012. "Efficiency analysis and controller design of a continuous variable planetary transmission for a CAES wind energy system," Applied Energy, Elsevier, vol. 100(C), pages 118-126.
    32. Kaldellis, J.K. & Kapsali, M. & Kavadias, K.A., 2010. "Energy balance analysis of wind-based pumped hydro storage systems in remote island electrical networks," Applied Energy, Elsevier, vol. 87(8), pages 2427-2437, August.
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