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Interactive calculator for assessment of the structure of energy consumption

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper we present a simple interactive calculator, which can be used in individual flats and houses, office buildings and educational institutes such as colleges and schools, for assessment of electricity use by different categories of equipment. The user indicates only type of equipment and its approximate time of work. The program outputs the structure of energy consumption in graphic format. The results of test procedures and the ways for improvement of the program are discussed.
Rocznik
Strony
32--43
Opis fizyczny
Bibliogr. 16 poz., fig., tab.
Twórcy
autor
  • Institute of Control Science, Russian Academy of Science, 65 Profsoyuznaya st. Moscow 117997, Russia
autor
  • Plekhanov Russian University of Economics (Krasnodar branch), 23 Sadovaya st., Krasnodar 350002
Bibliografia
  • [1] Xiaohua Xia, Jiangfeng Zhang.: Mathematical description for the measurement and verification of energy efficiency improvement. Applied Energy, Vol. 111, 2013, pp. 247-256.
  • [2] Ratner S.: The implementation of state policy in the field of energy efficiency. Economic Analysis: Theory and Practice, No. 29, 2013, pp. 21-28. (in Russian)
  • [3] Ratner S., Iosifova L.: Evaluating the effectiveness of regional energy efficiency programs (the case of Krasnodar region). Regional Economy: Theory and Practice, No. 35, 2013, pp.43-49. (in Russian)
  • [4] Official site of energy audit: [electronic resource]. (http://www.energo116.ru) [date of access: 21.12.2013]
  • [5] Russian Federation Government Decree of October 21, 2011 No. 1843 -r on the distribution of subsidies granted in 2011 from the federal budget of the Russian Federation to co-finance expenditure commitments associated with the implementation of regional programs in the field of energy conservation and energy efficiency.
  • [6] Groger M., Schmid V., Bruckner T.: Lifestyles and Their Impact on Energy-Related Investments Decisions. Low Carbon Economy, No. 2, 2011, pp. 107-114.
  • [7] Valenzuela C., Valencia A., White S., Jordan J. A., Cano S., Keating J., Nagorski J., Potter L. B.: An analysis of monthly household energy consumption among single-family residences in Texas, 2010. Energy Policy, Vol. 69, 2014, pp. 263-272.
  • [8] Choongwan Koo, Taehoon Hong, Minhyun Lee, Hyo Seon Park.: Development of a new energy efficiency rating system for existing residential buildings. Energy Policy. Vol. 68, 2014, pp. 218-231.
  • [9] In-Ae Yeo, Seong-Hwan Yoon, Jurng-Jae Yee.: Development of an urban energy demand forecasting system to support environmentally friendly urban planning. Applied Energy, Vol. 110, 2013, pp. 304-317.
  • [10] Botetzagias I., Malesios C., Poulou D.: Electricity curtailment behaviors in Greek households: Different behaviors, different predictors. Energy Policy, Vol.69, 2014, pp. 415-424.
  • [11] Yin R.: A case study research: Design and Methods. Thousand Oaks, CA: Sage, 2002.
  • [12] Davis A. L., Krishnamurti T.: The problems and solutions of predicting participation in energy efficiency programs. Applied Energy, Vol. 111, 2013, pp. 277-287.
  • [13] Allen E., Seaman C.: Likert Scales and Data Analyses. Quality Progress, 2007, pp. 64-65.
  • [14] Lanfranchi J., Pekovic S.: How green is my firm? Workers' attitudes and behaviors towards job in environmentally-related firms. Ecological Economics, Vol. 100, April 2014, pp. 16-29.
  • [15] Axsen J., Orlebar C., Skippon S.: Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study. Ecological Economics, Vol. 95, 2013, pp. 96-107.
  • [16] Foulds C., Powell J.: Using the Homes Energy Efficiency Database as a research resource for residential insulation improvements. Energy Policy, Vol. 69, 2014, pp. 57-72.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4963491d-97e2-484a-8d8a-8667afac8f8e
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