The estimated billing system constitutes threats to economic growth and productivity in the country as it automatically provides avenues for exploitation. In Nigeria, such estimated bills are strategically, mischievously overestimated aimed at putting customers in perpetual debt bondage such that they would always have outstanding. This paper focusses on comparative study on energy charged for metered and unmetered users. Estimated and prepaid bills of customers under energy feeder XPSECllKV were obtained and compared. The tariff classes considered in this study are residential(R), commercial (C), industrial (I) and special cases (A). Prepaid metering bills reveal an average savings of 52.2% for all the subclasses considered when compared with estimated billings. The application of the weighted average cluster load technique for unmetered customers shows energy savings of 45.6% against the regular load measurement method for unmetered maximum demand customers. Recommendations were consequently highlighted.
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17 August 2022
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr
28–30 May 2021
Athens, Greece
Research Article|
August 17 2022
Comparative study on energy charges for metered and unmetered subscribers for minimal effect of estimated billing using the average cluster load technique
A. Adekunle;
A. Adekunle
a)
Nigerian Building and Road Research Institute (NBRRI), Federal Ministry of Science and technology
, Abuja, Nigeria
a)Corresponding Author: [email protected]
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O. Ibhadode;
O. Ibhadode
Nigerian Building and Road Research Institute (NBRRI), Federal Ministry of Science and technology
, Abuja, Nigeria
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D. N. Nwaigwe;
D. N. Nwaigwe
Nigerian Building and Road Research Institute (NBRRI), Federal Ministry of Science and technology
, Abuja, Nigeria
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M. Rukevwe Imonikosaye
M. Rukevwe Imonikosaye
Nigerian Building and Road Research Institute (NBRRI), Federal Ministry of Science and technology
, Abuja, Nigeria
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a)Corresponding Author: [email protected]
AIP Conf. Proc. 2437, 020108 (2022)
Citation
A. Adekunle, O. Ibhadode, D. N. Nwaigwe, M. Rukevwe Imonikosaye; Comparative study on energy charges for metered and unmetered subscribers for minimal effect of estimated billing using the average cluster load technique. AIP Conf. Proc. 17 August 2022; 2437 (1): 020108. https://doi.org/10.1063/5.0092688
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