Skip to main content

Case of Energy System in a Green Building in Tianjin

  • Living reference work entry
  • First Online:
Handbook of Energy Systems in Green Buildings
  • 219 Accesses

Abstract

Combined cooling, heating, and power (CCHP) system plays a significant role in efficient utilization of energy. In this chapter, a case study on energy system in a green building in Tianjin is presented. As for the energy system, a typical CCHP system is proposed including a power generation unit (PGU), an absorption chiller, and a ground heat source pump (GSHP) to substitute conventional electric chiller and auxiliary boiler. Then a matrix modeling approach is presented to optimize the CCHP system. Modeled in a matrix form, the CCHP system can be viewed as an input–output model. Energy conversion and flow from the system input to the output is modeled by a conversion matrix including the dispatch factors and components efficiencies. By designing the objective function and determining the constraint, the optimization problem of minimizing the comprehensive performance (CP) of operational cost, carbon dioxide emission, and primary energy consumption is solved. Thus the size of the PGU and GSHP is optimized using the linear search method. After that an illustrative case study is conducted to present the effectiveness, and results show that the thermal load and electric load are well satisfied by the proposed system no matter judging from the typical daily aspect or monthly aspect or annual aspect. Finally, the on-site energy matching (OEM) and on-site energy fraction (OEF) are employed to evaluate how much on-site generated energy is exported or wasted and how much demands are covered by the on-site generated energy. The results showed that the produced energy of the CCHP system is not fully used, while it can well satisfy the end user load.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. Wu DW, Wang RZ (2006) Combined cooling, heating and power: a review. Prog Energy Combust Sci 32(5):459–495

    Article  Google Scholar 

  2. Jradi M, Riffat S (2014) Tri-generation systems: energy policies, prime movers, cooling technologies, configurations and operation strategies. Renew Sust Energ Rev 32:396–415

    Article  Google Scholar 

  3. Fumo N, Mago PJ, Chamra LM (2009) Analysis of cooling, heating, and power systems based on site energy consumption. Appl Energy 86(6):928–932

    Article  Google Scholar 

  4. Smith AD, Mago PJ, Fumo N (2013) Benefits of thermal energy storage option combined with CHP system for different commercial building types. Sustain Energy Technol Assess 1:3–12

    Article  Google Scholar 

  5. Brandoni C, Renzi M, Caresana F et al (2014) Simulation of hybrid renewable microgeneration systems for variable electricity prices. Appl Therm Eng 71(2):667–676

    Article  Google Scholar 

  6. Gu Q, Ren H, Gao W et al (2012) Integrated assessment of combined cooling heating and power systems under different design and management options for residential buildings in Shanghai. Energ Buildings 51:143–152

    Article  Google Scholar 

  7. Mago PJ, Luck R (2013) Evaluation of the potential use of a combined micro-turbine organic Rankine cycle for different geographic locations. Appl Energy 102:1324–1333

    Article  Google Scholar 

  8. Mago PJ, Luck R, Smith AD (2011) Environmental evaluation of base-loaded CHP systems for different climate conditions in the US. Int J Ambient Energy 32(4):203–214

    Article  Google Scholar 

  9. Wang JJ, Xu ZL, Jin HG et al (2014) Design optimization and analysis of a biomass gasification based BCHP system: a case study in Harbin. China Renew Energy 71(11):572–583

    Article  Google Scholar 

  10. Wang J, Sui J, Jin H (2015) An improved operation strategy of combined cooling heating and power system following electrical load. Energy 85:654–666

    Article  Google Scholar 

  11. Jing YY, Bai H, Wang JJ et al (2012) Life cycle assessment of a solar combined cooling heating and power system in different operation strategies. Appl Energy 92(2):843–853

    Article  Google Scholar 

  12. Fu L, Zhao XL, Zhang SG et al (2009) Laboratory research on combined cooling, heating and power (CCHP) systems. Energy Convers Manag 50(4):977–982

    Article  Google Scholar 

  13. Hajabdollahi H, Hajabdollahi Z, Hajabdollahi F (2015) Soft computing based optimization of cogeneration plant with different load demands. Heat Transfer-Asian Research 45(6):556–577

    Google Scholar 

  14. Fang F, Wei L, Liu J et al (2012) Complementary configuration and operation of a CCHP-ORC system. Energy 46(1):211–220

    Article  Google Scholar 

  15. Xu XX, Liu C, Fu X et al (2015) Energy and exergy analyses of a modified combined cooling, heating, and power system using supercritical CO2. Energy 86:414–422

    Article  Google Scholar 

  16. Wang J, Zhao P, Niu X et al (2012) Parametric analysis of a new combined cooling, heating and power system with transcritical CO 2, driven by solar energy. Appl Energy 94(6):58–64

    Google Scholar 

  17. Wu JY, Wang JL, Li S et al (2014) Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller. Energy 68(4):74–80

    Google Scholar 

  18. Chua KJ, Yang WM, Er SS et al (2014) Sustainable energy systems for a remote island community. Appl Energy 113(1):1752–1763

    Article  Google Scholar 

  19. Chen Q, Han W, Zheng JJ et al (2014) The exergy and energy level analysis of a combined cooling, heating and power system driven by a small scale gas turbine at off design condition. Appl Therm Eng 66(1–2):590–602

    Article  Google Scholar 

  20. Hajabdollahi H, Ganjehkaviri A, Jaafar MNM (2015) Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms. Appl Therm Eng 75:468–480

    Article  Google Scholar 

  21. Zeng R, Li H, Liu L et al (2015) A novel method based on multi-population genetic algorithm for CCHP–GSHP coupling system optimization. Energy Convers Manag 105:1138–1148

    Article  Google Scholar 

  22. He F, Xu Y, Zhang X et al (2015) Hybrid CCHP system combined with compressed air energy storage. Int J Energy Res 39(13):1807–1818

    Article  Google Scholar 

  23. Yang H, Xiong T, Qiu J et al (2015) Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response. Appl Energy 167:353–365

    Article  Google Scholar 

  24. Zare V (2016) A comparative thermodynamic analysis of two tri-generation systems utilizing low-grade geothermal energy. Energy Convers Manag 118:264–274

    Article  Google Scholar 

  25. Chen X, Gong G, Wan Z et al (2016) Performance study of a dual power source residential CCHP system based on PEMFC and PTSC. Energy Convers Manag 119(1):163–176

    Article  Google Scholar 

  26. Jabari F, Nojavan S, Ivatloo BM et al (2016) Optimal short-term scheduling of a novel tri-generation system in the presence of demand response programs and battery storage system. Energy Convers Manag 122:95–108

    Article  Google Scholar 

  27. Dai Y, Wang J, Gao L (2009) Exergy analysis, parametric analysis and optimization for a novel combined power and ejector refrigeration cycle. Appl Therm Eng 29(10):1983–1990

    Article  Google Scholar 

  28. Wang J, Dai Y, Gao L et al (2009) A new combined cooling, heating and power system driven by solar energy. Renew Energy 34(12):2780–2788

    Article  Google Scholar 

  29. Fu L, Zhao X, Zhang S et al (2011) Performance study of an innovative natural gas CHP system. Energy Convers Manag 52(1):321–328

    Article  Google Scholar 

  30. Wang J, Yang Y, Mao T et al (2015) Life cycle assessment (LCA) optimization of solar-assisted hybrid CCHP system. Appl Energy 146:38–52

    Article  Google Scholar 

  31. Cardona E, Piacentino A, Cardona F (2006) Matching economical, energetic and environmental benefits: an analysis for hybrid CHCP-heat pump systems. Energy Convers Manag 47(20):3530–3542

    Article  Google Scholar 

  32. Wang JJ, Jing YY, Zhang CF et al (2011) Performance comparison of combined cooling heating and power system in different operation modes. Appl Energy 88(12):4621–4631

    Article  Google Scholar 

  33. Mago PJ, Luck R, Knizley A (2014) Combined heat and power systems with dual power generation units and thermal storage. Int J Energy Res 38(7):896–907

    Article  Google Scholar 

  34. Mago PJ, Chamra LM, Ramsay J (2010) Micro-combined cooling, heating and power systems hybrid electric-thermal load following operation. Appl Therm Eng 30(8):800–806

    Article  Google Scholar 

  35. Smith A, Luck R, Mago PJ (2010) Analysis of a combined cooling, heating, and power system model under different operating strategies with input and model data uncertainty. Energy Build 42(11):2231–2240

    Article  Google Scholar 

  36. Zheng CY, Wu JY, Zhai XQ (2014) A novel operation strategy for CCHP systems based on minimum distance. Appl Energy 128:325–335

    Article  Google Scholar 

  37. Mu H, Li L, Li N et al (2015) Analysis of the integrated performance and redundant energy of CCHP systems under different operation strategies. Energy Build 99:231–242

    Article  Google Scholar 

  38. Zheng CY, Wu JY, Zhai XQ et al (2016) Impacts of feed-in tariff policies on design and performance of CCHP system in different climate zones. Appl Energy 175:168–179

    Article  Google Scholar 

  39. Kang LG, Yang JH, An QS et al (2016) Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff. Appl Energy. doi:10.1016/j.apenergy.2016.07.017

    Google Scholar 

  40. Zeng R, Li H, Jiang R, Liu L, Zhang G (2016) A novel multi-objective optimization method for CCHP-GSHP coupling systems. Energy Build 112:149–158

    Article  Google Scholar 

  41. Liu W, Chen G, Yan B et al (2015) Hourly operation strategy of a CCHP system with GSHP and thermal energy storage (TES) under variable loads: a case study. Energy Build 93:143–153

    Article  Google Scholar 

  42. Liu M, Yang S, Fang F (2013) Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach. Appl Energy 102(2):794–802

    Article  Google Scholar 

  43. Pan S, Yan D, Jiang Y, et al (2003) Comparison of various simulation programs as the commissioning tool : part-5 VAV system simulation using DeST. Proceedings of academic papers (Japan) 15:1233–1236

    Google Scholar 

  44. Tsinghua University (2013) DeST 2.0: a building energy simulation program. Accessed online at http://dest.tsinghua.edu.cn.

  45. Wu Q, Ren H, Gao W et al (2014) Multi-criteria assessment of combined cooling, heating and power systems located in different regions in Japan. Appl Therm Eng 73(1):660–670

    Article  Google Scholar 

  46. http://61.187.123.140/enbroadcom/uploads/pdf/xxfiktxxsjsc.pdf

  47. Darrow K, Tidball R, Wang J, et al. (2015) Catalog of CHP technologies. US Environmental Protection Agency. Accessed online at http://www.epa.gov/chp/technologies.html

  48. Kang LG, Wang JG, Liu J (2008) The performance analysis of GSHP radiant floor heating system with PCM. J Hebei Univ Eng (Nat Sci Ed) 25:65–68

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuai Deng .

Editor information

Editors and Affiliations

Section Editor information

Nomenclature

Nomenclature

c Unit prices (CNY/m3 or CNY/kg or CNY/kWh)

C Capital cost per unit (CNY/kW)

COP Coefficient of performance

E Electricity (kW)

F Fuel energy (KW)

H Efficiency matrix

i Interest rate

l Number of equipment

n Service life

N Installation capacity (kW)

Q Heat (kW)

r Load ratio

R Capital recovery factor

V Vectors

Symbols

η Efficiency

α Dispatch factor

μ The emission conversion factors

k The site-to-primary energy conversion factors

Γ Dispatch matrix

Subscripts and Superscripts

ac Absorption chiller

c Cooling

e Electricity

ex Heat exchanger

f Natural gas

grid Grid

gshp Ground source heat pump

h Thermal

i Input

k k th component

o Output

pgu power generation unit

user End user

0 Rated parameter

Abbreviation

ATC Annual total cost

CCHP Combined cooling, heating, and power

CDE Carbon dioxide emissions

EDM Electricity demand management

FEL Following the electric load

FHL Hybrid load-following method

FTL Following the thermal load

GDP Gross domestic product

GSHP Ground source heat pump

OC Operational cost

OEF On-site energy fraction

OEM On-site energy matching

PEC Primary energy consumption

PGU Power generation unit

TDM Thermal demand management

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer-Verlag GmbH Germany

About this entry

Cite this entry

Kang, L., Li, Z., Deng, S. (2017). Case of Energy System in a Green Building in Tianjin. In: Wang, R., Zhai, X. (eds) Handbook of Energy Systems in Green Buildings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49088-4_14-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49088-4_14-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49088-4

  • Online ISBN: 978-3-662-49088-4

  • eBook Packages: Springer Reference EnergyReference Module Computer Science and Engineering

Publish with us

Policies and ethics