IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v38y2010i7p3468-3481.html
   My bibliography  Save this article

Energy and exergy prices of various energy sources along with their CO2 equivalents

Author

Listed:
  • Caliskan, Hakan
  • Hepbasli, Arif

Abstract

Various types of energy sources are used in the residential and industrial sectors. Choosing the type of sources is important. When an energy source is selected, its CO2 equivalent and energy and exergy prices must be known for a sustainable future and for establishing energy policies. These prices are based on their energy values. Exergy analysis has been recently applied to a wide range of energy-related systems. Thus, obtaining the exergy values has become more meaningful for long-term planning. In this study, energy and exergy prices of various energy sources along with CO2 equivalents are calculated and compared for residential and industrial applications in Turkey. Energy sources considered include coal, diesel oil, electricity, fuel oil, liquid petroleum gas (LPG), natural gas, heat pumps and geothermal, and their prices were obtained over a period of 18 months, from January 2008 to June 2009. For the residential and industrial sectors, minimum energy and exergy prices were found for ground source heat pumps, while maximum energy and exergy prices belong to LPG for both sectors.

Suggested Citation

  • Caliskan, Hakan & Hepbasli, Arif, 2010. "Energy and exergy prices of various energy sources along with their CO2 equivalents," Energy Policy, Elsevier, vol. 38(7), pages 3468-3481, July.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3468-3481
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00101-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zuxiang Wang & Yew‐Kwang Ng & Russell Smyth, 2011. "A General Method For Creating Lorenz Curves," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(3), pages 561-582, September.
    2. Hermann, Weston A., 2006. "Quantifying global exergy resources," Energy, Elsevier, vol. 31(12), pages 1685-1702.
    3. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    4. Hacisalihoglu, Bilge, 2008. "Turkey's natural gas policy," Energy Policy, Elsevier, vol. 36(6), pages 1867-1872, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fisk, David, 2011. "Thermodynamics on Main Street: When entropy really counts in economics," Ecological Economics, Elsevier, vol. 70(11), pages 1931-1936, September.
    2. Sun, Wenchao & Huang, Yuewu & Zhao, Yonggang, 2023. "Performance assessment of a coupled device of thermoradiation cell and photovoltaic cell for energy cascade utilization," Energy, Elsevier, vol. 281(C).
    3. Bilgen, Selçuk & Sarıkaya, İkbal, 2015. "Exergy for environment, ecology and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1115-1131.
    4. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
    5. Thu, Kyaw & Saha, Bidyut Baran & Chua, Kian Jon & Bui, Thuan Duc, 2016. "Thermodynamic analysis on the part-load performance of a microturbine system for micro/mini-CHP applications," Applied Energy, Elsevier, vol. 178(C), pages 600-608.

    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. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    2. Wang, ZuXiang & Smyth, Russell, 2015. "A piecewise method for estimating the Lorenz curve," Economics Letters, Elsevier, vol. 129(C), pages 45-48.
    3. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, vol. 5(11), pages 1-20, November.
    4. Ucar, Aynur & Balo, Figen, 2009. "Effect of fuel type on the optimum thickness of selected insulation materials for the four different climatic regions of Turkey," Applied Energy, Elsevier, vol. 86(5), pages 730-736, May.
    5. Sukjoon Oh & John F. Gardner, 2022. "Large Scale Energy Signature Analysis: Tools for Utility Managers and Planners," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    6. Omer Kaynakli, 2011. "Parametric Investigation of Optimum Thermal Insulation Thickness for External Walls," Energies, MDPI, vol. 4(6), pages 1-15, June.
    7. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
    8. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    9. Wang, Yuanjun & You, Shibing, 2016. "An alternative method for modeling the size distribution of top wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 443-453.
    10. Sferra, Fabio & Krapp, Mario & Roming, Niklas & Schaeffer, Michiel & Malik, Aman & Hare, Bill & Brecha, Robert, 2019. "Towards optimal 1.5° and 2 °C emission pathways for individual countries: A Finland case study," Energy Policy, Elsevier, vol. 133(C).
    11. Üster, Halit & Dilaveroğlu, Şebnem, 2014. "Optimization for design and operation of natural gas transmission networks," Applied Energy, Elsevier, vol. 133(C), pages 56-69.
    12. Hepbasli, Arif & Alsuhaibani, Zeyad, 2011. "Exergetic and exergoeconomic aspects of wind energy systems in achieving sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2810-2825, August.
    13. Massidda, Luca & Marrocu, Marino, 2023. "Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning," Applied Energy, Elsevier, vol. 351(C).
    14. Golberg, Alexander, 2015. "Environmental exergonomics for sustainable design and analysis of energy systems," Energy, Elsevier, vol. 88(C), pages 314-321.
    15. Dupont, Elise & Koppelaar, Rembrandt & Jeanmart, Hervé, 2018. "Global available wind energy with physical and energy return on investment constraints," Applied Energy, Elsevier, vol. 209(C), pages 322-338.
    16. Beyca, Omer Faruk & Ervural, Beyzanur Cayir & Tatoglu, Ekrem & Ozuyar, Pinar Gokcin & Zaim, Selim, 2019. "Using machine learning tools for forecasting natural gas consumption in the province of Istanbul," Energy Economics, Elsevier, vol. 80(C), pages 937-949.
    17. Chai, Jiale & Huang, Pei & Sun, Yongjun, 2019. "Investigations of climate change impacts on net-zero energy building lifecycle performance in typical Chinese climate regions," Energy, Elsevier, vol. 185(C), pages 176-189.
    18. Yuyu Zhou & Jiyong Eom & Leon Clarke, 2013. "The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China," Climatic Change, Springer, vol. 119(3), pages 979-992, August.
    19. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
    20. Ucar, Aynur, 2010. "Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey," Energy, Elsevier, vol. 35(4), pages 1854-1864.

    More about this item

    Keywords

    Energy and exergy prices Energy policy CO2 equivalents;

    JEL classification:

    Statistics

    Access and download statistics

    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:eee:enepol:v:38:y:2010:i:7:p:3468-3481. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.