IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p134-d1012360.html
   My bibliography  Save this article

Allocation of Joint Costs and Price Setting for Electricity and Heat Generated in Cogeneration

Author

Listed:
  • Pavel Atănăsoae

    (Department of Electrical Engineering, Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, Romania)

Abstract

In the case of cogeneration, the allocation of operation costs has a particularity specific to the joint production of heat and electricity from the same primary energy source. The cost allocation is also influenced by the demand conditions faced by the joint products, and prices must be sufficient for both products to remain profitable and competitive with other power generation alternatives in the respective markets. Therefore, the choice of cost allocation methodology is influenced by market conditions. The paper presents an algorithm for determining the prices of energy and heat produced in cogeneration according to demand and market conditions. The economic market method was extended with an algorithm based on duality theory for verifying allocation methods and establishing forecasting strategies. An example is provided for a cogeneration plant (1.287 MWe; 5.386 MWth) based on ORC (Organic Rankine Cycle) technology and biomass fuel. The fuel cost has a major influence on the total costs of the cogeneration plant, between 68% and 77% in the analyzed scenarios. The fuel cost variation is considered in the application of the cost allocation methods for setting the prices of heat and electricity.

Suggested Citation

  • Pavel Atănăsoae, 2022. "Allocation of Joint Costs and Price Setting for Electricity and Heat Generated in Cogeneration," Energies, MDPI, vol. 16(1), pages 1-20, December.
  • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:134-:d:1012360
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/134/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/1/134/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beretta, Gian Paolo & Iora, Paolo & Ghoniem, Ahmed F., 2012. "Novel approach for fair allocation of primary energy consumption among cogenerated energy-intensive products based on the actual local area production scenario," Energy, Elsevier, vol. 44(1), pages 1107-1120.
    2. Chenghong Gu & Da Xie & Junbo Sun & Xitian Wang & Qian Ai, 2015. "Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets," Energies, MDPI, vol. 8(12), pages 1-16, December.
    3. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    4. da Silva, Julio Augusto Mendes & Santos, José Joaquim Conceição Soares & Carvalho, Monica & de Oliveira, Silvio, 2017. "On the thermoeconomic and LCA methods for waste and fuel allocation in multiproduct systems," Energy, Elsevier, vol. 127(C), pages 775-785.
    5. Gładysz, Paweł & Saari, Jussi & Czarnowska, Lucyna, 2020. "Thermo-ecological cost analysis of cogeneration and polygeneration energy systems - Case study for thermal conversion of biomass," Renewable Energy, Elsevier, vol. 145(C), pages 1748-1760.
    6. Kavvadias, K.C., 2016. "Energy price spread as a driving force for combined generation investments: A view on Europe," Energy, Elsevier, vol. 115(P3), pages 1632-1639.
    7. Loßner, Martin & Böttger, Diana & Bruckner, Thomas, 2017. "Economic assessment of virtual power plants in the German energy market — A scenario-based and model-supported analysis," Energy Economics, Elsevier, vol. 62(C), pages 125-138.
    8. Zhang, Junli & Ge, Bin & Xu, Hongsheng, 2013. "An equivalent marginal cost-pricing model for the district heating market," Energy Policy, Elsevier, vol. 63(C), pages 1224-1232.
    9. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
    10. Usón, Sergio & Kostowski, Wojciech J. & Stanek, Wojciech & Gazda, Wiesław, 2015. "Thermoecological cost of electricity, heat and cold generated in a trigeneration module fuelled with selected fossil and renewable fuels," Energy, Elsevier, vol. 92(P3), pages 308-319.
    11. Rongxiang Yuan & Jun Ye & Jiazhi Lei & Timing Li, 2016. "Integrated Combined Heat and Power System Dispatch Considering Electrical and Thermal Energy Storage," Energies, MDPI, vol. 9(6), pages 1-17, June.
    12. Holmberg, Henrik & Tuomaala, Mari & Haikonen, Turo & Ahtila, Pekka, 2012. "Allocation of fuel costs and CO2-emissions to heat and power in an industrial CHP plant: Case integrated pulp and paper mill," Applied Energy, Elsevier, vol. 93(C), pages 614-623.
    13. Gao, Jintong & Zhang, Qi & Wang, Xiaozhuang & Song, Dayong & Liu, Weiqi & Liu, Wenchao, 2018. "Exergy and exergoeconomic analyses with modeling for CO2 allocation of coal-fired CHP plants," Energy, Elsevier, vol. 152(C), pages 562-575.
    14. Monteiro, Eliseu & Moreira, Nuno Afonso & Ferreira, Sérgio, 2009. "Planning of micro-combined heat and power systems in the Portuguese scenario," Applied Energy, Elsevier, vol. 86(3), pages 290-298, March.
    15. Ronelly De Souza & Melchiorre Casisi & Diego Micheli & Mauro Reini, 2021. "A Review of Small–Medium Combined Heat and Power (CHP) Technologies and Their Role within the 100% Renewable Energy Systems Scenario," Energies, MDPI, vol. 14(17), pages 1-30, August.
    16. Wang, Zefeng & Han, Wei & Zhang, Na & Liu, Meng & Jin, Hongguang, 2017. "Exergy cost allocation method based on energy level (ECAEL) for a CCHP system," Energy, Elsevier, vol. 134(C), pages 240-247.
    17. Ye, Xuemin & Li, Chunxi, 2013. "A novel evaluation of heat-electricity cost allocation in cogenerations based on entropy change method," Energy Policy, Elsevier, vol. 60(C), pages 290-295.
    18. Guanglin Zhang & Yu Cao & Yongsheng Cao & Demin Li & Lin Wang, 2017. "Optimal Energy Management for Microgrids with Combined Heat and Power (CHP) Generation, Energy Storages, and Renewable Energy Sources," Energies, MDPI, vol. 10(9), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pavel Atănăsoae, 2018. "The Operating Strategies of Small-Scale Combined Heat and Power Plants in Liberalized Power Markets," Energies, MDPI, vol. 11(11), pages 1-16, November.
    2. Dorotić, Hrvoje & Pukšec, Tomislav & Schneider, Daniel Rolph & Duić, Neven, 2021. "Evaluation of district heating with regard to individual systems – Importance of carbon and cost allocation in cogeneration units," Energy, Elsevier, vol. 221(C).
    3. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    4. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
    5. Marques, Adriano S. & Carvalho, Monica & Ochoa, Alvaro A.V. & Abrahão, Raphael & Santos, Carlos A.C., 2021. "Life cycle assessment and comparative exergoenvironmental evaluation of a micro-trigeneration system," Energy, Elsevier, vol. 216(C).
    6. Wang, Jiawei & You, Shi & Zong, Yi & Cai, Hanmin & Træholt, Chresten & Dong, Zhao Yang, 2019. "Investigation of real-time flexibility of combined heat and power plants in district heating applications," Applied Energy, Elsevier, vol. 237(C), pages 196-209.
    7. Beretta, Gian Paolo & Iora, Paolo & Ghoniem, Ahmed F., 2014. "Allocating resources and products in multi-hybrid multi-cogeneration: What fractions of heat and power are renewable in hybrid fossil-solar CHP?," Energy, Elsevier, vol. 78(C), pages 587-603.
    8. Gao, Jintong & Zhang, Qi & Wang, Xiaozhuang & Song, Dayong & Liu, Weiqi & Liu, Wenchao, 2018. "Exergy and exergoeconomic analyses with modeling for CO2 allocation of coal-fired CHP plants," Energy, Elsevier, vol. 152(C), pages 562-575.
    9. César Torres & Antonio Valero, 2021. "The Exergy Cost Theory Revisited," Energies, MDPI, vol. 14(6), pages 1-42, March.
    10. Ignacio Blanco & Daniela Guericke & Anders N. Andersen & Henrik Madsen, 2018. "Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production," Energies, MDPI, vol. 11(12), pages 1-26, November.
    11. Herbes, Carsten & Halbherr, Verena & Braun, Lorenz, 2018. "Factors influencing prices for heat from biogas plants," Applied Energy, Elsevier, vol. 221(C), pages 308-318.
    12. Omid Sadeghian & Arash Moradzadeh & Behnam Mohammadi-Ivatloo & Mehdi Abapour & Fausto Pedro Garcia Marquez, 2020. "Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach," Energies, MDPI, vol. 13(11), pages 1-25, June.
    13. Walek, Tomasz T., 2023. "New model of cost allocation for micro-cogeneration systems applied in multi-family buildings — with standard and new-type multi-source energy meters," Energy, Elsevier, vol. 262(PB).
    14. Alfredo Gimelli & Massimiliano Muccillo, 2018. "The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems," Energies, MDPI, vol. 11(4), pages 1-21, April.
    15. Choi, Sangmi & Kim, Soyeon & Jung, Minkyu & Lee, Jinwook & Lim, Jihun & Kim, Minsung, 2022. "Comparative analysis of exergy- and enthalpy-based allocation methods for cogeneration businesses in the industrial complex of South Korea," Energy, Elsevier, vol. 240(C).
    16. Wang, Jiangjiang & Deng, Hongda & Qi, Xiaoling, 2022. "Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks," Energy, Elsevier, vol. 261(PA).
    17. Benedikt Finnah, 2022. "Optimal bidding functions for renewable energies in sequential electricity markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 1-27, March.
    18. Oyekale, Joseph & Petrollese, Mario & Cau, Giorgio, 2020. "Modified auxiliary exergy costing in advanced exergoeconomic analysis applied to a hybrid solar-biomass organic Rankine cycle plant," Applied Energy, Elsevier, vol. 268(C).
    19. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Pan, Bo & Qi, Shiqiang, 2020. "Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power," Applied Energy, Elsevier, vol. 275(C).
    20. Sara Bellocchi & Michele Manno & Michel Noussan & Michela Vellini, 2019. "Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy," Energies, MDPI, vol. 12(7), pages 1-32, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:134-:d:1012360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.