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Electricity Usage Efficiency in Large Buildings: DSM Measures and Preliminary Simulations of DR Programs in a Public Library

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 524))

Abstract

The programs and actions to rationalize energy consumption and increase energy efficiency, such as demand-side management (DSM) and demand response (DR), are receiving increasing attention. DSM involves the selection, planning, and implementation of measures intended to have an influence on the demand or customer-side of the electric meter. DR includes programs designed to encourage end-users to make short-term reductions in energy demand in response to price signals from the market or triggers initiated by electricity grid operators. This paper aims at studying DSM actions and DR programs to improve electricity efficiency in a public library (large building), taking into account a time of use (TOU) tariff. It presents a model of the library developed with the software DesignBuilder and using real data. It also proposes DSM actions to improve efficiency and reduce energy costs. Specifically, the analysis of the building equipment and their usage constraints lead to the development of load shifting and peak clipping mechanisms. Regarding DR programs, the library manager adopts a load direct control program proposed by a retailer and involving a reduction in consumption in the peak period of the day. The agents negotiate the terms and conditions of a bilateral contract, notably energy prices and contract duration. The DSM actions, the DR program and the negotiated rate allow the library manager to reduce consumption by 4 % and lead to savings of about 7 % in total annual costs.

H. Algarvio, J. Viegas and F. Lopes—This work was performed under the project MAN-REM (FCOMP-01-0124-FEDER-020397) and PD/BD/105863/2014 (H. Algarvio) and SFRH/BDE/95414/2013 (J. Viegas), supported by FEDER Funds through the program “COMPETE\(-\)Programa Operacional Temático Factores de Competividade” and National Funds through “FCT\(-\)Fundação para a Ciência e a Tecnologia”.

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References

  1. Albadi, M., El-Saadany, E.: A summary of demand response in electricity markets. Electr. Power Syst. Res. 78, 1989–1996 (2008)

    Article  Google Scholar 

  2. Benefits of demand response in electricity markets and recommendations for achieving them. Report to the United States Congress, US Department of Energy (2006)

    Google Scholar 

  3. Cappers, P., Goldman, C., Kathan, D.: Demand response in U.S. electricity markets: empirical evidence. Energy 35, 1526–1535 (2010)

    Article  Google Scholar 

  4. Woo, C., Greening, L.: Guest editors’ introduction. Energy 35, 1515–1517 (2010)

    Article  Google Scholar 

  5. Torriti, J., Hassan, M., Leach, M.: Demand response experience in Europe: policies, programmes and implementation. Energy 35, 1575–1583 (2010)

    Article  Google Scholar 

  6. Wang, J., Bloyd, C., Hu, Z., Tan, Z.: Demand response in China. Energy 35, 1592–1597 (2010)

    Article  Google Scholar 

  7. Charles River Associates: Primer on demand-side management with an emphasis on price-responsive programs. Report for The World Bank, Washington, DC (2005)

    Google Scholar 

  8. Bakar, N., Hassan, M., Abdullah, H., Rahman, H., Abdullah, M., Hussin, F., Bandi, M.: Energy efficiency index as an indicator for measuring building energy performance: a review. Renew. Sustain. Energy Rev. 44, 1–11 (2015)

    Article  Google Scholar 

  9. Demand Side Management Best Practices Guidebook for Pacific Island Power Utilities. International Institute for Energy Conservation (IIEC) (2006)

    Google Scholar 

  10. Lopes, F., Algarvio, H., Coelho, H.: Agent-based simulation of retail electricity markets: bilateral trading players. In: 24th International Workshop on Database and Expert Systems Applications (DEXA), pp. 189–193. IEEE Computer Society (2013)

    Google Scholar 

  11. Lopes, F., Mamede, N., Novais, A.Q., Coelho, H.: Towards a generic negotiation model for intentional agents. In: 11th International Workshop on Database and Expert Systems Applications, pp. 433–439. IEEE (2000)

    Google Scholar 

  12. Lopes, F., Mamede, N., Novais, A.Q., Coelho, H.: Negotiation among autonomous agents: experimental evaluation of integrative strategies. In: 12th Portuguese Conference on Artificial Intelligence, pp. 280–288. IEEE Computer Society Press (2005)

    Google Scholar 

  13. Lopes, F., Coelho, H.: Concession behaviour in automated negotiation. In: Buccafurri, F., Semeraro, G. (eds.) EC-Web 2010. LNBIP, vol. 61, pp. 184–194. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  14. Lopes, F., Coelho, H. (eds.): Negotiation and Argumentation in Multi-agent Systems. Bentham Science, The Netherlands (2014)

    Google Scholar 

  15. Osborne, M., Rubinstein, A.: Bargaining and Markets. Academic Press, London (1990)

    MATH  Google Scholar 

  16. Lopes, F., Algarvio, H., Coelho, H.: Bilateral contracting in multi-agent electricity markets: negotiation strategies and a case study. In: International Conference on the European Energy Market (EEM-2013), pp. 1–8. IEEE (2013)

    Google Scholar 

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Correspondence to Hugo Algarvio .

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Algarvio, H., Viegas, J., Lopes, F., Amaro, D., Pronto, A., Vieira, S.M. (2015). Electricity Usage Efficiency in Large Buildings: DSM Measures and Preliminary Simulations of DR Programs in a Public Library. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_21

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  • DOI: https://doi.org/10.1007/978-3-319-19033-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19032-7

  • Online ISBN: 978-3-319-19033-4

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