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Managing electricity consumption for household sector in Indonesia

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Warianty tytułu
PL
Zarządzanie zużyciem energii elektrycznej w sektorze gospodarstw domowych w Indonezji
Języki publikacji
EN
Abstrakty
EN
This study has focus to investigate a number of aspects that influencing electricity consumption for urban household in Indonesia. For this purpose, a questionnaire is developed to get primary data from two cities, namely Makassar and Yogyakarta. The collected data are analyzed using statistical approach. From analysis of 231 usable data obtained in September and October 2020, majority occupants have practiced specific energy saving lifestyle at their homes although the usage of energy efficiency appliances (EEA) is still low. Higher cost to buy EEA, the absence of non-flat electricity tariff scheme and energy management supporting system are some main barriers to support further occupants in reducing consumption. Another result from regression model revealed that income variable, family size, and installed electricity at home (IEA) are significant predictors for electricity consumption. The variables can explain variation of the household consumption around 47% where the IEA is the most predictor. Provided information can assist power utility in Indonesia in designing more realistic strategy to promote energy saving program or to propose wise ways in managing energy usage for household sector.
PL
Praca ma na celu zbadanie szeregu aspektów wpływających na zużycie energii elektrycznej przez gospodarstwa domowe w Indonezji. W tym celu opracowano kwestionariusz, aby uzyskać podstawowe dane z dwóch miast, a mianowicie Makassar i Yogyakarta. Zebrane dane są analizowane za pomocą podejścia statystycznego. Z analizy 231 użytecznych danych uzyskanych we wrześniu i październiku 2020 r. Wynika, że większość mieszkańców prowadzi w swoich domach określony tryb życia oszczędzający energię, chociaż użycie urządzeń energooszczędnych (EEA) jest nadal niskie. Wyższe koszty zakupu EOG, brak taryfy opłat za energię elektryczną i systemu wspierającego zarządzanie energią to główne bariery wspierające mieszkańców w ograniczaniu zużycia energii.
Rocznik
Strony
34--39
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • University of Hasanuddin, Gowa Campus – 92171, Indonesia
autor
  • University of Hasanuddin, Gowa Campus – 92171, Indonesia
  • University of Hasanuddin, Gowa Campus – 92171, Indonesia
autor
  • University of Hasanuddin, Gowa Campus – 92171, Indonesia
Bibliografia
  • [1] Hirst E., Berry L., Soderstrom J., Review of Utility Home Energy Audit Programs, Energy, 6(1981), No. 7, 621–630.
  • [2] Sorrell S., Reducing Energy Demand: A Review of Issues, Challenges and Approaches, Renewable and Sustainable Energy Reviews, 47(2015), 74-82.
  • [3] Jareemit D., Limmeechokchai B., Impact of Homeownwer’s Behaviours on Residential Energy Consumption in Bangkok, Thailand, Journal of Building Engineering, 21(2019), 328-335.
  • [4] Papageorgiou G., Efstathiades A., Poullou M., Ness A.N., Managing Household Electricity Consumption: A Correlational, Regression Analysis. International Journal of Sustainable Energy, 39(2020), No. 5, 486-496.
  • [5] Yan D., O’Brien W., Hong T., Feng X., Gunay H.B., Tahmasebi F., Mahdavi A., Occupant Behavior Modeling for Building Performance Simulation: Current State and Future Cchallenges, Energy and Buildings, 15(2015), 264-278.
  • [6] Yohanis Y.G., Domestic Energy Use and Householders’ Energy Behavior, Energy Policy, 41(2012), 654-665.
  • [7] Akil Y.S., Miyauchi H., Seasonal Peak Characteristic Comparison Analysis by Hourly Electricity Demand Model, International Journal of Energy and Power Engineering, 3(2014), No. 3, 132-138.
  • [8] Hu S., Yan D., Guo S., Cui Y., Dong B., A Survey on Energy Consumption and Energy Usage Behavior of Households and Residential Building in Urban China, Energy and Buildings, 148(2017), 368–379.
  • [9] Ponniran A., Mamat N.A., Joret A., Electricity Profile Study for Domestic and Commercial Sectors, International Journal of Integrated Engineering, 4(2012), No. 3, 8-12.
  • [10] Huebner G., Shipworth V., Hamilton I., Chalabi Z., Oreszczyn T., Understanding Electricity Consumption: A Comparative Contribution of Building Factors, Socio-Demographics, Appliances, Behaviours and Attitudes, Applied Energy, 177(2016), 692-702.
  • [11] Sanquist T.F., Orr H., Shui B., Bittner A.C., Lifestyle Factors in U.S. Residential Electricity Consumption, Energy Policy, 42(2012), 354-364.
  • [12] Jones R.V., Lomas K. J., Determinants of High Electrical Energy Demand in UK Homes: Appliance Ownership and Use, Energy and Building, 117(2016), 71-82.
  • [13] Yoshida A., Manomivibool P., Tasaki T., Unroj P., Qualitative Study on Electricity Consumption of Urban and Rural Households in Chiang Rai, Thailand, with a Focus on Ownership and Use of Air Conditioners, Sustainability, 12(2020), 1-19.
  • [14] Elma O., Selamoğullar U.S., A Survey of a Residential Load Profile for Demand Side Management Systems, Proc. of the 5th IEEE International Conference on Smart Energy Grid Engineering, 2017, 85-89.
  • [15] Wijaya M.E., Tezuka T., A Comparative Study of Households' Electricity Consumption Characteristics in Indonesia: A Techno-Socioeconomic Analysis. Energy for Sustainable Development, 17(2013), 596-604.
  • [16] Batih H., Sorapipatana C., Characteristics of Urban Households' Electrical Energy Consumption in Indonesia and its Saving Potentials, Renewable and Sustainable Energy Reviews, 57(2016), 1160-1173.
  • [17] Indonesian Ministry of Energy and Mineral Resources, Electricity Statistics Year 2018. http://alpha.djk.esdm.go.id/index.php/statistik-ketenagalistrikan. Accessed 28 September 2020.
  • [18] Ministry of Energy and Mineral Resources, Republic of Indonesia Government Regulation No. 70 Year 2009 about Energy Conservation, https://migas.esdm.go.id/uploads/regulasi/profil_peraturan_284 .pdf, accessed 29 November 2020.
  • [19] Guo Z., Zhou K., Zhang C., Lu X., Chen W., Yang S., Residential Electricity Consumption Behavior: Influencing Factors, Related Theories and Intervention Strategies, Renewable and Sustainable Energy Reviews, 81(2018), 399- 412.
  • [20] Bland J.M., Altman D.G., Cronbach’s Alpha, BMJ, 314(1997), 572.
  • [21] Pardo A., Meneu V., Valor E., Temperature and Seasonality Influences on Spanish Electricity Load, Energy Economics, 24(2002), 55-70.
  • [22] Mirasgedis S., Sarafidis Y., Georgopoulou E., Lalas D.P., Moschovits M., Karagiannis F., Papakonstantinou D., Models for Mid-Term Electricity Demand Forecasting Incorporating Weather Influences, Energy, 31(2006), 208-227.
  • [23] Park N.K., Lee E., Energy-Efficient Lighting: Consumers’ Perceptions and Behaviours, International Journal of Marketing Studies, 5(2013), No. 3, 26-35.
  • [24] Akil Y.S., Mangngenre S., Mawar S., Amar K., Preliminary Study of Perception and Consumer Behaviour Towards Energy Saving for Household Appliances: A Case of Makassar, Journal of Physics: Conference Series 979 012091(2018), 1-6.
  • [25] Lutzenhiser L., Social and Behavioral Aspects of Energy Use, Annual Review of Energy and the Environment, 18(1993), 247– 289.
  • [26] O’Brien R.M., A Caution Regarding Rules of Thumb for Variance Inflation Factors, A Caution Regarding Rules of Thumb for Variance Inflation Factors, Quality & Quantity, 41(2007), 673-690.
  • [27] Statistics (BPS), Sulawesi Selatan Province in Figures: Delivering Data to Inform Development Planning 2020.
  • [28] Statistics (BPS), Daerah Istimewa Yogyakarta Province in Figures, 2020.
  • [29] Shiraki H., Nakamura S., Ashina S., Honjo K., Estimating the Hourly Electricity Profile of Japanese Households - Coupling of Engineering and Statistical Methods, Energy, 14(2016), 478- 491.
  • [30] Yalcintas M., Kaya A., Roles of Income, Price and Household Size on Residential Electricity Consumption: Comparison of Hawaii with Similar Climate Zone States, Energy Reports, 3(2017), 109-118.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4fc14dae-8142-42d0-b607-259d095c9195
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