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2022 | OriginalPaper | Chapter

6. Optimal Placement of Combined Heat and Power (CHP) Systems Considering the Cost of Environmental Pollutants

Authors : Sasan Azad, Mohammad Mehdi Amiri, Mohammad Taghi Ameli

Published in: Whole Energy Systems

Publisher: Springer International Publishing

Abstract

Restructuring in the electricity industry and the increasing use of electrical and thermal energy in the world has led to the more efficient use of combined heat and power (CHP) systems. On the other hand, investing in CHP systems will be beneficial for its owners; however, it is necessary to consider various limitations such as environmental pollutants in planning. In this study, environmental pollutants’ cost effect on the profit and optimal location of various CHP technologies, including microturbine, internal combustion engine, and the fuel cell, is investigated. Features are presented in this chapter, providing a comprehensive model for optimal placement of CHP, considering nonrenewable sources, electrical and thermal energy networks, annual planning for a 5-year horizon, and the cost of environmental pollutants. The proposed model is implemented in the GAMS software environment. The results show that the profit of resource owners depends on the type of technology used. It has also been found that the optimal installation location of the technologies used is affected by environmental pollutants.

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Literature
3.
go back to reference Beigvand, S. D., Abdi, H., & La Scala, M. (2017). Economic dispatch of multiple energy carriers. Energy, 138. Beigvand, S. D., Abdi, H., & La Scala, M. (2017). Economic dispatch of multiple energy carriers. Energy, 138.
4.
go back to reference Beigvand, S. D., Abdi, H., & La Scala, M. (2017). A general model for energy hub economic dispatch. Applied Energy, 190, 1090–1111. CrossRef Beigvand, S. D., Abdi, H., & La Scala, M. (2017). A general model for energy hub economic dispatch. Applied Energy, 190, 1090–1111. CrossRef
5.
go back to reference Sanjani, K., et al. (2019). A robust-stochastic approach for energy transaction in energy hub under uncertainty. In Robust optimal planning and operation of electrical energy systems (pp. 219–232). Springer. CrossRef Sanjani, K., et al. (2019). A robust-stochastic approach for energy transaction in energy hub under uncertainty. In Robust optimal planning and operation of electrical energy systems (pp. 219–232). Springer. CrossRef
6.
go back to reference Dargahi, A., et al. (2020). Scheduling of air conditioning and thermal energy storage systems considering demand response programs. Sustainability, 12(18), 7311. CrossRef Dargahi, A., et al. (2020). Scheduling of air conditioning and thermal energy storage systems considering demand response programs. Sustainability, 12(18), 7311. CrossRef
7.
go back to reference Aunedi, M., et al. Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems. Applied Energy, 276(2020), 115522. Aunedi, M., et al. Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems. Applied Energy, 276(2020), 115522.
8.
go back to reference Yadegari, S., Abdi, H., & Nikkhah, S. (2020). Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints. Energy, 212, 118754. CrossRef Yadegari, S., Abdi, H., & Nikkhah, S. (2020). Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints. Energy, 212, 118754. CrossRef
9.
go back to reference Boljevic, S., & Conlon, M. F. (2011). Optimal sizing of combined heat & power (CHP) generation in urban distribution network (UDN). In 46th International Universities' Power Engineering Conference (UPEC). VDE. Boljevic, S., & Conlon, M. F. (2011). Optimal sizing of combined heat & power (CHP) generation in urban distribution network (UDN). In 46th International Universities' Power Engineering Conference (UPEC). VDE.
10.
go back to reference Sadeghian, H. R., & Ardehali, M. M. (2016). A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition. Energy, 102, 10–23. CrossRef Sadeghian, H. R., & Ardehali, M. M. (2016). A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition. Energy, 102, 10–23. CrossRef
11.
go back to reference Ren, H., Gao, W., & Ruan, Y. (2008). Optimal sizing for residential CHP system. Applied Thermal Engineering, 28(5–6), 514–523. CrossRef Ren, H., Gao, W., & Ruan, Y. (2008). Optimal sizing for residential CHP system. Applied Thermal Engineering, 28(5–6), 514–523. CrossRef
12.
go back to reference Briguglio, N., et al. (2011). Evaluation of a low temperature fuel cell system for residential CHP. International Journal of Hydrogen Energy, 36(13), 8023–8029. CrossRef Briguglio, N., et al. (2011). Evaluation of a low temperature fuel cell system for residential CHP. International Journal of Hydrogen Energy, 36(13), 8023–8029. CrossRef
13.
go back to reference Asl, S. M. S., Rowshanzamir, S., & Eikani, M. H. (2010). Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell. Energy, 35(4), 1633–1646. CrossRef Asl, S. M. S., Rowshanzamir, S., & Eikani, M. H. (2010). Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell. Energy, 35(4), 1633–1646. CrossRef
14.
go back to reference Moradi, M. H., & Abedini, M. (2012). A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power & Energy Systems, 34(1), 66–74. CrossRef Moradi, M. H., & Abedini, M. (2012). A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power & Energy Systems, 34(1), 66–74. CrossRef
15.
go back to reference Farjah, E., et al. (2012). Placement of combined heat, power and hydrogen production fuel cell power plants in a distribution network. Energies, 5(3), 790–814. CrossRef Farjah, E., et al. (2012). Placement of combined heat, power and hydrogen production fuel cell power plants in a distribution network. Energies, 5(3), 790–814. CrossRef
16.
go back to reference El-Sharkh, M. Y., et al. (2010). Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant. International Journal of Hydrogen Energy, 35(16), 8804–8814. CrossRef El-Sharkh, M. Y., et al. (2010). Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant. International Journal of Hydrogen Energy, 35(16), 8804–8814. CrossRef
17.
go back to reference Adam, A., Fraga, E. S., & Brett, D. J. L. (2015). Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration. Applied Energy, 138, 685–694. CrossRef Adam, A., Fraga, E. S., & Brett, D. J. L. (2015). Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration. Applied Energy, 138, 685–694. CrossRef
18.
go back to reference Tichi, S. G., Ardehali, M. M., & Nazari, M. E. (2010). Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm. Energy Policy, 38(10), 6240–6250. CrossRef Tichi, S. G., Ardehali, M. M., & Nazari, M. E. (2010). Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm. Energy Policy, 38(10), 6240–6250. CrossRef
19.
go back to reference Buoro, D., Pinamonti, P., & Reini, M. (2014). Optimization of a DISTRIBUTED COGENERATION SYSTEM with solar district heating. Applied Energy, 124, 298–308. CrossRef Buoro, D., Pinamonti, P., & Reini, M. (2014). Optimization of a DISTRIBUTED COGENERATION SYSTEM with solar district heating. Applied Energy, 124, 298–308. CrossRef
20.
go back to reference Basu, A. K., Chowdhury, S., & Chowdhury, S. P. (2010). Impact of strategic deployment of CHP-based DERs on microgrid reliability. IEEE Transactions on Power Delivery, 25(3), 1697–1705. CrossRef Basu, A. K., Chowdhury, S., & Chowdhury, S. P. (2010). Impact of strategic deployment of CHP-based DERs on microgrid reliability. IEEE Transactions on Power Delivery, 25(3), 1697–1705. CrossRef
21.
go back to reference Arandian, B., & Ardehali, M. M. (2017). Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm optimization algorithm. Energy, 140, 466–480. CrossRef Arandian, B., & Ardehali, M. M. (2017). Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm optimization algorithm. Energy, 140, 466–480. CrossRef
22.
go back to reference Arandian, B., & Ardehali, M. M. (2017). Renewable photovoltaic-thermal combined heat and power allocation optimization in radial and meshed integrated heat and electricity distribution networks with storages based on newly developed hybrid shuffled frog leaping algorithm. Journal of Renewable and Sustainable Energy, 9(3), 033503. CrossRef Arandian, B., & Ardehali, M. M. (2017). Renewable photovoltaic-thermal combined heat and power allocation optimization in radial and meshed integrated heat and electricity distribution networks with storages based on newly developed hybrid shuffled frog leaping algorithm. Journal of Renewable and Sustainable Energy, 9(3), 033503. CrossRef
23.
go back to reference Adam, A., Fraga, E. S., & Brett, D. J. L. (2015). Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration. Applied Energy, 138, 685–694. CrossRef Adam, A., Fraga, E. S., & Brett, D. J. L. (2015). Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration. Applied Energy, 138, 685–694. CrossRef
24.
go back to reference Buoro, D., Pinamonti, P., & Reini, M. (2014). Optimization of a distributed cogeneration system with solar district heating. Applied Energy, 124, 298–308. CrossRef Buoro, D., Pinamonti, P., & Reini, M. (2014). Optimization of a distributed cogeneration system with solar district heating. Applied Energy, 124, 298–308. CrossRef
25.
go back to reference Beihong, Z., & Weiding, L. (2006). An optimal sizing method for cogeneration plants. Energy and Buildings, 38(3), 189–195. CrossRef Beihong, Z., & Weiding, L. (2006). An optimal sizing method for cogeneration plants. Energy and Buildings, 38(3), 189–195. CrossRef
26.
go back to reference Naderipour, A., et al. Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition. Energy, 196(2020), 117124. Naderipour, A., et al. Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition. Energy, 196(2020), 117124.
27.
go back to reference Urbanucci, L., & Testi, D. (2018). Optimal integrated sizing and operation of a CHP system with Monte Carlo risk analysis for long-term uncertainty in energy demands. Energy Conversion and Management, 157, 307–316. CrossRef Urbanucci, L., & Testi, D. (2018). Optimal integrated sizing and operation of a CHP system with Monte Carlo risk analysis for long-term uncertainty in energy demands. Energy Conversion and Management, 157, 307–316. CrossRef
28.
go back to reference Takada, K., & Ikegami, T. (2018). Long-term Planning model for a CHP system using particle swarm optimization algorithm and mixed integer linear programming. In 2018 International conference on Smart Energy Systems and Technologies (SEST). IEEE. Takada, K., & Ikegami, T. (2018). Long-term Planning model for a CHP system using particle swarm optimization algorithm and mixed integer linear programming. In 2018 International conference on Smart Energy Systems and Technologies (SEST). IEEE.
29.
go back to reference Wang, H., et al. (2015). Modelling and optimization of CHP based district heating system with renewable energy production and energy storage. Applied Energy, 159, 401–421. CrossRef Wang, H., et al. (2015). Modelling and optimization of CHP based district heating system with renewable energy production and energy storage. Applied Energy, 159, 401–421. CrossRef
30.
go back to reference Gharavi, H., Ardehali, M. M., & Tichi, S. G. (2015). Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions. Renewable Energy, 78, 427–437. CrossRef Gharavi, H., Ardehali, M. M., & Tichi, S. G. (2015). Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions. Renewable Energy, 78, 427–437. CrossRef
31.
go back to reference Amirnekooei, K., Ardehali, M. M., & Sadri, A. (2017). Optimal energy pricing for integrated natural gas and electric power network with considerations for techno-economic constraints. Energy, 123, 693–709. CrossRef Amirnekooei, K., Ardehali, M. M., & Sadri, A. (2017). Optimal energy pricing for integrated natural gas and electric power network with considerations for techno-economic constraints. Energy, 123, 693–709. CrossRef
Metadata
Title
Optimal Placement of Combined Heat and Power (CHP) Systems Considering the Cost of Environmental Pollutants
Authors
Sasan Azad
Mohammad Mehdi Amiri
Mohammad Taghi Ameli
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-87653-1_6