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Optimal option of distributed energy systems for building complexes in different climate zones in China

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  • Ren, Hongbo
  • Zhou, Weisheng
  • Gao, Weijun

Abstract

The design and operation of distributed energy resource (DER) systems are greatly dependent upon the atmospheric conditions, which may determine available natural energy resources on the supply side and local energy requirements on the demand side. In this study, the feasible DER systems for three typical building complexes have been examined for a major city within each of the five major climate zones in China, using economic performance as the sole criterion to be optimized. The results indicate that the hot summer and cold winter zone is the most suitable region to introduce the DER (mainly gas engine and gas turbine units among various alternatives) systems from both economic and environmental viewpoints; while the DER systems are not popular in the mild climate zone. Furthermore, the mixed design of local areas is recognized to be beneficial to the performances of local energy systems. In addition, the administrative directive to develop renewable energy towns results in considerable environment benefits at the cost of poor economic performance. On the other hand, market based policy innovations such as carbon tax can promote the introduction of some renewable energies (biomass specially) to a large extent.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:91:y:2012:i:1:p:156-165
    DOI: 10.1016/j.apenergy.2011.08.044
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    1. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    2. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
    3. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Analysis of cooling, heating, and power systems based on site energy consumption," Applied Energy, Elsevier, vol. 86(6), pages 928-932, June.
    4. Gomi, Kei & Shimada, Kouji & Matsuoka, Yuzuru, 2010. "A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city," Energy Policy, Elsevier, vol. 38(9), pages 4783-4796, September.
    5. Ruan, Yingjun & Liu, Qingrong & Zhou, Weiguo & Firestone, Ryan & Gao, Weijun & Watanabe, Toshiyuki, 2009. "Optimal option of distributed generation technologies for various commercial buildings," Applied Energy, Elsevier, vol. 86(9), pages 1641-1653, September.
    6. Caresana, Flavio & Brandoni, Caterina & Feliciotti, Petro & Bartolini, Carlo Maria, 2011. "Energy and economic analysis of an ICE-based variable speed-operated micro-cogenerator," Applied Energy, Elsevier, vol. 88(3), pages 659-671, March.
    7. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    8. Yao, Runming & Li, Baizhan & Steemers, Koen & Short, Alan, 2009. "Assessing the natural ventilation cooling potential of office buildings in different climate zones in China," Renewable Energy, Elsevier, vol. 34(12), pages 2697-2705.
    9. Jiang, Ping & Keith Tovey, N., 2009. "Opportunities for low carbon sustainability in large commercial buildings in China," Energy Policy, Elsevier, vol. 37(11), pages 4949-4958, November.
    10. Wang, Jiangjiang & Zhai, Zhiqiang John & Zhang, Chunfa & Jing, Youyin, 2010. "Environmental impact analysis of BCHP system in different climate zones in China," Energy, Elsevier, vol. 35(10), pages 4208-4216.
    11. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    12. 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.
    Full references (including those not matched with items on IDEAS)

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