Yusak Tanoto

Multi-Dimensional Assessment for Residential Lighting Demand Side Management: A Proposed Framework

Effective Demand Side Management (DSM) practices require adequate assessment in which several important factors are taken into consideration. Criteria to measure DSM potential and setting DSM targets are substantial to be well predefined. The aim of this paper is to propose assessment framework towards effective residential lighting demand side management planning. The assessment involves multi-dimensional factors comprising technical, economic, society preference, and environmental emission along with their mean of analysis. Technical dimension in terms of electricity demand is analyzed using Baseline Energy Use method whereas Life Cycle Cost analysis along with Cost-Benefit Assessment is used to calculate economic cost and other parameters during the project lifetime. Multi-criteria decision making using Analytic Hierarchy Process is performed to capture customer preference on selecting the preferable DSM loading scheme. In addition, environmental emission reduction potential is revealed using End-use Electricity Saving method.

Economic and environmental emissions analysis in Indonesian electricity expansion planning: Low-rank coal and geothermal energy utilization scenarios

This paper examines utilization of low-rank coal and geothermal energy resources in the long-term Indonesian electricity expansion planning in high populated islands Java, Madura, and Bali up to 2027. The long-term electricity expansion of these areas meets several problems such as supply security, financial limitation, and environmental issues. Therefore, the modeling of long-term geothermal and low-rank coal utilization is examined in terms of expansion cost as well as the environmental impacts. In 2027, the required capacity to fulfill future demand is estimated 133 GW. Under the coal scenarios, the domination of coal becomes bigger with 75.4 GW or 57% of total electricity generation mix. However, under the geothermal scenarios, the installed power plant form geothermal sources increase to be 7 GW and coal utilization decreases to be only 67.6 GW or 51% of total electricity generation share. In the economic perspective, more geothermal power plant need to be developed in order to reduce to coal utilization in power generation. In the end of planning horizon, the coal scenario emits as much as 487 million tons of CO2 equivalents, while the geothermal scenario successes to reduce emissions by 43.3 million tons from the coal scenarios emissions.

Off-grid fully renewable energy with free capacity shortage for remote electrification

This paper presents feasibility study on optimal sizing and economic assessment of community electrification in the remote area using fully renewable energy system. The electricity is proposed to be delivered from a centralized renewable energy generating station. Study is focused to obtain the most appropriate power generation configuration with the lowest energy cost along with free systems capacity shortage over the study period. Possible renewable energy technologies analyzed in this study consists of micro hydro, photovoltaic-battery and wind turbine. From the analyses, system configuration that consists of all renewable resources is the most preferred one with least net present cost as well as least cost of energy during the project period.

Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015)

This book includes the original, peer-reviewed research papers from the 2nd International Conference on Electrical Systems, Technology and Information (ICESTI 2015), held in September 2015 at Patra Jasa Resort & Villas Bali, Indonesia. Topics covered include: Mechatronics and Robotics, Circuits and Systems, Power and Energy Systems, Control and Industrial Automation, and Information Theory. It explores emerging technologies and their application in a broad range of engineering disciplines, including communication technologies and smart grids. It examines hybrid intelligent and knowledge-based control, embedded systems, and machine learning. It also presents emerging research and recent application in green energy system and storage. It discusses the role of electrical engineering in biomedical, industrial and mechanical systems, as well as multimedia systems and applications, computer vision and image and signal processing. The primary objective of this series is to provide references for dissemination and discussion of the above topics. This volume is unique in that it includes work related to hybrid intelligent control and its applications. Engineers and researchers as well as teachers from academia and professionals in industry and government will gain valuable insights into interdisciplinary solutions in the field of emerging electrical technologies and its applications.

Sizing and Costs Implications of Long-Term Electricity Planning: A Case of Kupang City, Indonesia

This paper presents long-term electricity supply-demand scenarios for Kupang City, Indonesia. The objective of the analysis is to reveal the alternatives sizing of power plants along with the power generation costs that is potentially incurred during the study period. The study is conducted using bottom-up energy model. Electricity energy in terms of supply-demand variation is taking into account both fossil fueled and renewable energy potential in the supply side, and the scheme of high as well as average electricity growth rate in the demand side. Four variations of supply-demand conditions is presented as the study result. The results has shown total energy supplied which is required in order to satisfy the usual demand growth and the total saving potential under the demand scheme. The variation in terms of costs also shown depending upon the renewable energy penetration. The study is expected to contribute towards the utilization of more renewable energy potential, particularly the possible implementation of Photovoltaic plants and the campaign of energy efficiency and conservation within the observed area.

Energy Decomposition Model Using Takagi-Sugeno Neuro Fuzzy

Decomposition analysis is useful method to determine significant factors contribute towards the development of energy consumption. This paper presents factors decomposition of electricity consumption in Indonesia’s household sector using artificial intelligent method. The proposed artificial intelligent technique used in this study is the Neuro Fuzzy Takagi-Sugeno (NFTS) network, which is worked under multiple input multiple output condition. By tuning the appropriate Gaussian parameters, which are mean and variance, and two Takagi-Sugeno weight, the changes in electricity consumption that is decomposed into production effect, structural effect, and efficiency effect, has revealed. Compared to the common method, the performance of NFTS network for both constant and current price variables is quite satisfied, given the error generated in the network ranges between 0.003 and 2.09 %, which is quite low and acceptable.

Analisa Supply-demand pada Pembangkit Listrik Tenaga Mikro Hidro 32 KW di Desa Praingkareha, Kabupaten Sumba Timur

PLTMH Laputi merupakan pembangkit listrik tenaga air berskala mikro dengan kemampuan 32 KW. Analisa terkait dengan kebutuhan dan pasokan energi masyarakat desa Praingkareha pada tahun 2014, yaitu pada bulan Januari saat debit air melimpah dengan rata-rata debit air 106.66 L/detik dengan kapasitas 19.78 KW dan beban puncak 18.84 KW, kemudian bulan April saat debit air cukup dengan rata-rata debit air 96.61 L/detik dengan kapasitas 17.91 KW dan beban puncak 13.43 KW, dan pada bulan Agustus saat debit air kecil dengan rata-rata debit air 32.61 L/detik dengan kapasitas 6.05 KW dan beban puncak 15.35 KW. Hanya pada bulan Agustus energi yang dihasilkan tidak dapat memenuhi rata-rata kebutuhan energi masyarakat dengan nilai 61.35 KWh sedangkan rata-rata kebutuhan energi sebesar 299 KWh. Jika dilihat dari besarnya debit air maksimal sungai laputi dan besarnya kapasitas debit air turbin, maka turbin hanya bekerja sebesar 38.37% dari kemampuan yang seharusnya.

Perencanaan Sizing dan Analisa Biaya Energi Sistem PLTS di Komunitas Desa Muara Langon, Kabupaten Paser, Kalimantan Timur

Desa Muara Langon merupakan desa yang terletak di dekat perbatasan antara Kalimantan Timur – Kalimantan Selatan yang masih menggunakan Generator set (Genset) sebagai sumber listrik karena belum mendapatkan fasilitas aliran listrik dari PT PLN. Pemanfaatan sumber energi terbarukan sebagai sumber listrik bagi rumah tangga di daerah pedesaan merupakan solusi yang tepat untuk mengatasi ketiadaan sumber energi listrik. Penelitian Tugas Akhir ini menganalisa data radiasi sinar matahari di desa Muara Langon serta data total beban listrik dan kebutuhan energi listrik untuk perencanaan PLTS bagi rumah penduduk desa Muara Langon menggunakan software HOMER. Perencanaan sistem PLTS semi terpusat dapat memenuhi pertumbuhan beban mendekati 10 tahun sebesar 11,7% setiap tahunnya, serta sistem ini memiliki biaya energi sebesar USD 2,03/kWh. Sistem PLTS semi terpusat yang direncanakan masih memiliki biaya energi yang lebih tinggi dibandingkan sistem diesel existing yang memiliki biaya energi sebesar USD 1,02/kWh.

Development of autonomous demand response system for electric load management

This paper presents a proposed framework for developing a device in which allowing users to autonomously manage electricity load demand through monitoring, controlling and scheduling mechanism. The proposed framework utilizes the principle of Demand Side Management in order to save energy by monitoring and re-arranging appliances load curve, of which resulted by either individual load or the whole loads in their premises. The system is comprised of the load metering, minimum system as controller, and wireless communication. The accessibility of the system is improved by the inclusion of the Internet of Things platform.

Energy and Environment Implications of Long-Term Power Development Involving Renewable Energy: A Case of Timor Island, Indonesia

This paper presents a long-term electricity energy supply-demand model of Timor Island, Indonesia. Implications of projected demand growth within the observed area towards the available supply as well as the amount of CO2 emission is taken into account. As its main objective is to review and to present initial comparison of the long-term electricity planning prepared by the utility, the analysis is carried out using the bottom-up energy system model. Unlike the common electricity long-term demand projection that is usually constructed based on the factors related to the electricity growth, the model is developed based on the simple projection considering historical electricity demand users. According to the analysis, the planned power plants would not able to meet the elecricity demand in the case of high growth demand scenario. The variation of CO2 emission that is obtained from the considered scenarios is also shown.