| Summary: | The purpose of this paper is to developed an innovative strategy to support small consumer on reducing the electrical energy cost (EEC), define total electrical energy cost (TEEC) and compute the benefit of the pre-cooling model (BPM). The suggested method enables small consumers to manage the peak electricity demand for air conditioning (AC) autonomously and proactively. In this research, a pre-cooling model (PM) has been applied to anticipate an unexpected level of the electricity price. The main contribution of this research is to develop a PM to avoid an extreme electricity price and examines the EEC, TEEC and compute the BPM during hot days, peak season and considering to the probability spike (Pr). The finding results of research illustrated that the EEC for AC can be reduced from IDR 7539 to IDR 5199 and from IDR 13310 to IDR 9394 for hot days and peak season cases, respectively. The TEEC can be examines to be IDR 5200 and IDR 8888 when the Pr may occur during hot days and peak season, respectively. When applied the proposed method that the consumer and aggregator can earn collective benefit, such as: IDR 2340 (31.03 %) and IDR 3916 (29.42 %) if considering to hot days and peak season respectively; as well as IDR 2159 (28.63 %) and IDR 4422 (33.22 %) if considering to Pr that may occur in the midday and peak season, respectively. Consequently, it can be concluded that the suggested model is effective way to keep comfortable of room temperature, controlling electricity peak demand and reduce electricity cost for the AC. This model is evaluated based on the data from the South Sulawesi electricity market price and demand curves provided by the Indonesian State Electricity Company (referred to as PLN), as well as the value of outside temperature (Tout) considering to characteristic of building in the Makassar region.
|
|---|