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All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Teknologi Elekterika

Marwan Marwan

Politeknik Negeri Ujung Pandang

Author-ID : 2590931

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 5 Documents Claim Missing Document

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Optimise Energy Cost for Air Conditioning based on the Market Price under Demand Side Response Model Marwan Marwan; Syafaruddin Syafaruddin
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

The increasing contribution of air conditioning (AC) to energy consumption has received considerable attention in the past and will continue to do so in the coming years, from Indonesian government, state electricity company and consumers. Managing demand on the electricity system in peak sessions is the most direct way to address the AC peak demand issue. The aim of this research is to developed a consumer demand side response (DSR) model to assist both electricity consumers/aggregator and electricity provider to minimise energy cost if peak price occured in the peak season. The proposed model allows consumers to independently and proactively manage air conditioning load through an aggregator. This research examines how the control system applies DSR model if a price spike may occur at 18.00 during one hour. The results indicate, consumer and aggregator could gain collective benefits when the consumer controls the air conditioning under the DSR program. The model was tested in Makassar City South Sulawesi considering to the caharacteristic of the room and air conditioning in a residential house.

Mitigating Electricity a Price Spike under Pre-Cooling Method Marwan Marwan; Pirman Pirman
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

The growing demand for air-conditioning is one of the largest contributors to Australia overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop a consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The proposed model allows consumers to independently and proactively manage air conditioning peak electricity demand. The main contribution of this research is how to show consumers can mitigate peak demands by optimizing energy costs for air conditioning in a several cases such as no spike and spike considering to the probability spike cases may only occur in the middle of the day for half hour, one hour and one and half hour spikes. This model also investigates how air conditioning applied a pre-cooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve energy savings and reducing electricity bills (costs) to the consumer. The model was tested with the Queensland electricity market data from Australian Energy Market Operator and Brisbane temperature data from Bureau statistic during hot days.

Co-Authors Aghnia Nur An Nisa Ahmad Rosyid Idris Alimin Alimin Andi Andi Eka Triana Fadhillah Nur Fajriana Naely, Muchtar Pirman Pirman Syafaruddin Syafaruddin

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Journal : International Journal of Electrical and Computer Engineering