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Examining the potential of natural gas demand-side measures to benefit customers, the distribution utility, and the environment: two case studies from Europe

Author

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  • de Almeida, Aníbal T.
  • Lopes, Ana Cristina
  • Carvalho, Anabela
  • Mariano, Jorge
  • Jahn, Andreas
  • Broege, Michael

Abstract

The aim of this paper is to demonstrate how integrated resource planning (IRP) oriented to the gas sector can be applied both in new networks and in mature networks, and to present the advantages of its application. One case study is described, in the western central region of Portugal, to illustrate the results of a pilot project on natural gas IRP implementation in a new network in the European Union (EU). The city of Burg, Germany, with a mature gas network with district heating was also analysed in terms of IRP potential. The most important phases of the integrated resource plan definition and implementation (especially those oriented to the demand-side) are presented, namely, the definition of the most efficient technologies (including solar energy), fuel-switching possibilities, a detailed study of the impacts in the economy, environment and society, and the policy incentives necessary to motivate the gas utility companies to perform IRP. In the main case study, the suggested implementation plan would lead to a reduction of around 4.7% in natural gas consumption. Additionally, 13.3% of cost-effective fuel switching from other competing forms of energy to natural gas can be achieved. A proposed EU energy services directive on mandatory energy–efficiency activities for gas and electricity distribution utilities in the EU, will promote the large-scale implementation of the proposed approach in Europe.

Suggested Citation

  • de Almeida, Aníbal T. & Lopes, Ana Cristina & Carvalho, Anabela & Mariano, Jorge & Jahn, Andreas & Broege, Michael, 2004. "Examining the potential of natural gas demand-side measures to benefit customers, the distribution utility, and the environment: two case studies from Europe," Energy, Elsevier, vol. 29(7), pages 979-1000.
  • Handle: RePEc:eee:energy:v:29:y:2004:i:7:p:979-1000
    DOI: 10.1016/j.energy.2003.12.001
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    Cited by:

    1. Mahmoud, A. & Shuhaimi, M. & Abdel Samed, M., 2009. "A combined process integration and fuel switching strategy for emissions reduction in chemical process plants," Energy, Elsevier, vol. 34(2), pages 190-195.
    2. 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.
    3. Brkić, Dejan & Tanasković, Toma I., 2008. "Systematic approach to natural gas usage for domestic heating in urban areas," Energy, Elsevier, vol. 33(12), pages 1738-1753.
    4. Myung, Cha-Lee & Choi, Kwanhee & Kim, Juwon & Lim, Yunsung & Lee, Jongtae & Park, Simsoo, 2012. "Comparative study of regulated and unregulated toxic emissions characteristics from a spark ignition direct injection light-duty vehicle fueled with gasoline and liquid phase LPG (liquefied petroleum ," Energy, Elsevier, vol. 44(1), pages 189-196.
    5. Aguilera, Roberto F., 2010. "The future of the European natural gas market: A quantitative assessment," Energy, Elsevier, vol. 35(8), pages 3332-3339.
    6. Schwob, Marcelo Rousseau Valença & Henriques Jr., Maurício & Szklo, Alexandre, 2009. "Technical potential for developing natural gas use in the Brazilian red ceramic industry," Applied Energy, Elsevier, vol. 86(9), pages 1524-1531, September.
    7. Zhu, L. & Li, M.S. & Wu, Q.H. & Jiang, L., 2015. "Short-term natural gas demand prediction based on support vector regression with false neighbours filtered," Energy, Elsevier, vol. 80(C), pages 428-436.

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