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Assessing and optimizing the economic and environmental impacts of cogeneration/district energy systems using an energy equilibrium model

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  • Wu, Y. June
  • Rosen, Marc A.

Abstract

Energy equilibrium models can be valuable aids in energy planning and decision-making. In such models, supply is represented by a cost-minimizing linear submodel and demand by a smooth vector-valued function of prices. In this paper, we use the energy equilibrium model to study conventional systems and cogeneration-based district energy (DE) systems for providing heating, cooling and electrical services, not only to assess the potential economic and environmental benefits of cogeneration-based DE systems, but also to develop optimal configurations while accounting for such factors as economics and environmental impact. The energy equilibrium model is formulated and solved with software called WATEMS, which uses sequential non-linear programming to calculate the intertemporal equilibrium of energy supplies and demands. The methods of analysis and evaluation for the economic and environmental impacts are carefully explored. An illustrative energy equilibrium model of conventional and cogeneration-based DE systems is developed within WATEMS to compare quantitatively the economic and environmental impacts of those systems for various scenarios.

Suggested Citation

  • Wu, Y. June & Rosen, Marc A., 1999. "Assessing and optimizing the economic and environmental impacts of cogeneration/district energy systems using an energy equilibrium model," Applied Energy, Elsevier, vol. 62(3), pages 141-154, March.
    • Handle: RePEc:eee:appene:v:62:y:1999:i:3:p:141-154
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    1. Akisawa, Atsushi & Miyazaki, Takahiko & Kashiwagi, Takao, 2010. "Theoretical analysis of the optimal configuration of co-generation systems and competitiveness of heating/cooling technologies," Energy, Elsevier, vol. 35(10), pages 4071-4078.
    2. Chow, T. T. & Chan, Apple L. S. & Song, C. L., 2004. "Building-mix optimization in district cooling system implementation," Applied Energy, Elsevier, vol. 77(1), pages 1-13, January.
    3. Mokheimer, Esmail M.A. & Dabwan, Yousef N. & Habib, Mohamed A. & Said, Syed A.M. & Al-Sulaiman, Fahad A., 2015. "Development and assessment of integrating parabolic trough collectors with steam generation side of gas turbine cogeneration systems in Saudi Arabia," Applied Energy, Elsevier, vol. 141(C), pages 131-142.
    4. Chinese, Damiana & Meneghetti, Antonella, 2005. "Optimisation models for decision support in the development of biomass-based industrial district-heating networks in Italy," Applied Energy, Elsevier, vol. 82(3), pages 228-254, November.
    5. Difs, Kristina & Danestig, Maria & Trygg, Louise, 2009. "Increased use of district heating in industrial processes - Impacts on heat load duration," Applied Energy, Elsevier, vol. 86(11), pages 2327-2334, November.
    6. Jae-Ki Byun & Young-Don Choi & Jong-Keun Shin & Myung-Ho Park & Dong-Kurl Kwak, 2012. "Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature," Energies, MDPI, vol. 5(5), pages 1-19, May.

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