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All Journal International Journal of Electrical and Computer Engineering ASEAN Journal of Systems Engineering Teknofisika Journal of Engineering and Technological Sciences JPSE (Journal of Physical Science and Engineering) Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal of Appropriate Technology for Community Services International Journal Of Science, Technology & Management (IJSTM)
Mohammad Kholid Ridwan
Department Of Nuclear And Physics, Faculty Of Engineering Universitas Gadjah Mada, Yogyakarta, Yogyakarta 55281, Indonesia.
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Transportation Other

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PERFORMANCE OF ROOFTOP PHOTOVOLTAIC SYSTEM WITH ADDITIONAL WATER COOLING SYSTEM Subur Priyono; Wahyu Wilopo; Mohammad Kholid Ridwan
ASEAN Journal of Systems Engineering Vol 4, No 2 (2020): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

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Abstract

Improving solar power plant performance is considered quite important for existing and prospective users of rooftop solar power plants in Indonesia due to its unattractive economic value. One of the efforts to optimize the performance is the application of an additional cooling system on the plant's photovoltaic module. This study aimed to determine the effectiveness of temperature reduction of the applied cooling system on solar panel productivity. The research was performed on the existing rooftop solar power plant with a capacity of 3 kWp, located in Depok City with coordinates of 6°38'03.40" South Latitude and 106°82'03.49" East Longitude.The results showed that the additional water cooling system with a closed-loop pumping method on the installed solar module’s entire surface could improve the rooftop solar power plant performance with an average production increase of 15.7% in 7 days of study. Meanwhile, from an economic point of view, this cooling system installation payback period was 2 years.  
An Analysis of Energy Production of Rooftop on Grid Solar Power Plant on A Government Building (A Case Study of Setjen KESDM Building Jakarta) Zulkifli Zulkifli; Wahyu Wilopo; Mohammad Kholid Ridwan
JPSE (Journal of Physical Science and Engineering) Vol 4, No 2 (2019): JPSE (Journal of Physical Science and Engineering)
Publisher : Universitas Negeri Malang

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Abstract

In producing electrical energy, the solar module is affected by some factors, such as the solar radiation intensity, temperature, orientation and slope of the module, and shading that occurs during operation. The solar power plant of Setjen KESDM is coordinated at 6°10’53.73” south latitude and 106°49’24.61” east longitude, with a slope of 9.7°–10.0° and azimuth of -2.0° to -5.0° towards the north. It consists of five placement locations, including 11th floor rooftop, T1, T2, T3, and L carports with a total capacity of 150 kWp. The analysis of the production of rooftop on grid solar power plant in the government building with a case study in the Setjen KESDM was intended to determine the level of production of the solar power plant built and the parameters that influence it, which was conducted by comparing the real results with the simulation results using SAM software. The energy production in 2017 was 118,259.3 kWh, in 2018 was 106,318.3 kWh, and in 2019 was 109,973.0 kWh. The highest production was obtained in September, October, and March every year due to the maximum solar radiation. The solar power plant on the 11th floor rooftop was more maximal in producing energy for all positions of the sun than the solar power plant on the T1, T2, T3, and L carports because it was free of shading from buildings and trees. The output produced by the solar power plant of Setjen KESDM could not reach the maximum point because the location temperature was higher than the standard test conditions of the solar module. DOI: http://dx.doi.org/10.17977/um024v4i22019p055
POTENSI PEMANFAATAN ATAP GEDUNG UNTUK PLTS DI KANTOR DINAS PEKERJAAN UMUM, PERUMAHAN DAN ENERGI SUMBER DAYA MINERAL (PUP-ESDM) PROVINSI DAERAH ISTIMEWA YOGYAKARTA Defi Rizkasari; Wahyu Wilopo; Mohammad Kholid Ridwan
Journal of Appropriate Technology for Community Services Vol. 1 No. 2 (2020)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol1.iss2.art7

Abstract

Electricity consumption in Indonesia from year to year has increased. The sales of PLN 2018 electricity in 234,617.88 GWh covering industrial sector, household sector, commercial sector, and public sector. While electrical energy consumption in D. I. Yogyakarta in 2018 of 2,857.06 GWh covering household sector, industrial sector, business sector, social sector, government office building sector and public street lighting. In fulfilling the demand of electrical energy, Yogyakarta installed power plant consists of PLTMH, PLTBm, PLTS and PLTHybrid with an installed capacity of 4.84 MW so that electricity in Yogyakarta is supplied from the interconnection network of Java-Madura-Bali. Energy resources used by interconnection networks generally use fossil energy (coal). Therefore we need a substitute for future fossil fuels. Utilization of renewable energy is one of the solar energy optimizations that can be applied to urban areas. The building sector consumes up to 40% of total annual energy. One of the buildings that can apply the utilization of renewable energy is the office building PUP-ESDM D. I. Yogyakarta. This research aims to know the potential power generated from the PLTS roofing if it is built on the office building Public Works, housing and Energy Mineral resources (PUP-ESDM) D. I. Yogyakarta. Research is conducted by conducting energy simulations using the HelioScope software. Simulated results show the east side of Building 1, the east side of Building 2, the east side of Building 3, the west side of Building 2 and the north side of Building 2 is the optimal location of photovoltaics. The Total energy potential generated from these five roofs is 73,484.5 kWh/year and is able to supply the energy needs of the PUP-ESDM office by 74.42%.
Performance Analysis of Small Horizontal Axis Wind Turbine with Airfoil NACA 4412 Syam Widiyanto; Sasongko Pramonohadi; Mohammad Kholid Ridwan
International Journal of Science, Technology & Management Vol. 2 No. 1 (2021): January 2021
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v2i1.165

Abstract

The horizontal axis wind turbine (HAWT) design with low wind speed requires blade geometry selection. The analysis uses the potential flow panel method and the integral boundary layer formulation to analyze wind flow around the airfoil. The blade design with the blade element momentum (BEM) theory has an aerodynamic coefficient value along the blade. Power wind calculates to model the wind shear pressure at each blade. This research aims to determine the wind turbine rotor based on the performance, including the power coefficient, tip speed ratio, power, and rpm. The simulation uses an airfoil NACA 4412 which has optimal coefficient lift (Cl) = 1.92 at 190 pitch of angle, coefficient drag (Cd) = 0.0635 at 130 pitch angle and Cl / Cd = 155 at tilt angle = 40. Five models of 2.5 m diameter blades with different angles for each chord. The test results show that the change in the speed ratio affects the power coefficient so that the optimal power coefficient on NACA 4412 in experiment 5 is 0.56, and change in rotation per minute affects the output power so that the rotation per minute and the optimal power in experiment 4 with a value of 374 rpm and 553 W.
FORECASTING ANALYSIS ON ELECTRICITY DEMAND IN THE SPECIAL REGION OF YOGYAKARTA UNDER THE IMPACT OF THE COVID-19 PANDEMIC Feikal Aprieza; Mohammad Kholid Ridwan; Wahyu Wilopo
ASEAN Journal of Systems Engineering Vol 6, No 1 (2022): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v6i1.75149

Abstract

The COVID-19 pandemic as a global pandemic on 2020 has encouraged the Indonesian Government to establish pandemic response policies in many provinces. The policies that had been restricting mobility during the pandemic showed significant impacts in many aspects in the Special Region of Yogyakarta. A shifting pattern in electricity consumption can be seen as the growth of economic sectors in the GDP encountered contraction after the decline of community mobility. Electricity demand forecasting is required to analyze the impact of the COVID-19 pandemic by applying three scenarios, specifically an unlikely pandemic scenario or Business As Usual (BAU), moderate scenario (MOD), and optimistic scenario (OPT). Also, the household, industrial, business, social, and public sectors are analyzed in order to see the shifting pattern in electricity consumption through the scenarios that have been given. Energy modeling is conducted with Low Emission Analysis Platform (LEAP) software to analyze electricity demand forecasting from 2019 to 2030 based on the three scenarios. The results show that the electricity demand in 2030, according to BAU, MOD, and OPT scenarios, in the amount of 5,301.58 GWh, 4,489.11 GWh, and 4,648.12 GWh, respectively. According to the MOD and OPT scenarios, the electricity demands of the household and industrial sectors will increase relative to the BAU scenario. Meanwhile, according to both scenarios, the electricity demands of the business and social sectors will decrease. In the public sector, the MOD scenario shows the decline of electricity demand relative to the BAU scenario, while OPT scenario shows the opposite.
Analisis Teknis dan Ekonomi dalam Pemanfaatan Area Sekitar Anjungan Lepas Pantai di Laut Jawa untuk Memproduksi Listrik Hijau dengan Turbin Angin Lepas Pantai Resistentio Vembre Franika; Mohammad Kholid Ridwan; Abram Perdana
Jurnal Ilmiah Universitas Batanghari Jambi Vol 23, No 3 (2023): Oktober
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v23i3.3933

Abstract

Green electricity production with offshore wind turbines is a potential option to increase renewable energy penetration in Indonesia. Indonesia's geographical condition which has 70 percent of the ocean makes the offshore wind turbines interesting for further research. In this study, the area of the ocean that will be used is Papa's offshore platform, which from an operational economic point of view has decreased so that it can be converted into an offshore sub-station for an electricity substation before being sent to a sub-station on land with distance of 40 km and sea depth of 35 m. The study begins with an analysis of the meteo data conditions of the area around the offshore platform which produces an average wind speed of 5.5 m/s (for a height of 119 meters) and the greatest frequency of wind directions from the East Southeast (ESE) direction. Furthermore, the wind farm analysis shows that the best wind farm direction with the Vestas V162-7.2 MW turbine is in the East Northeast (ENE) - West Southwest (WSW) direction with an energy generation potential of 141,656.9 MWh/year and a wake loss of 10% for a generating capacity of 100 .8MW. To determine the economy, an analysis was carried out using LCOE and NPV which resulted in a green electricity production value (LCOE) of $0.192/kWh and in determining investment feasibility an NPV analysis was carried out which produced a selling value of green electricity with an offshore wind turbine of $0.271/kWh.
ON-GRID AND OFF-GRID RENEWABLE ENERGY DESIGN AS SWRO (SEAWATER REVERSE OSMOSIS) POWER FOR FRESHWATER NEEDS IN GILI TRAWANGAN (STUDI CASE: GILI TRAWANGAN) Robbani, Farisan; Ridwan, Mohammad Kholid; Darmawan, Arif
ASEAN Journal of Systems Engineering Vol 9, No 1 (2025): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v9i1.77149

Abstract

Indonesia has 17,504 islands and one of them is Gili Trawangan. Gili Trawangan is one of the favorite tourist destinations in Indonesia which has an area of approximately 6 km2. In order to achieve the development of tourism islands, sufficient water and energy are needed in the area. The island's location in the middle of the sea makes it difficult to get freshwater and energy supplies.In this study, on-grid and off-grid simulations of renewable energy (solar, wind, and biomass) were carried out to determine the potential of integration energy as seawater desalination power as the need for freshwater in the area by calculating NPC (Net Present Cost), COE (Cost of Energy), operational costs, energy, and CO2 emissions. In the off-grid simulation, the lowest NPC and COE integration potentials were found at PV (Photovoltaic) capacities of 102 kW, 14 WT (Wind Turbine), 50 kW BG (Biogas Generator), and 50 kW DG (Diesel Generator) with a value of Rp 17,042,910,000 and Rp 1,587. The lowest operational costs and CO2 emissions are at the PV capacity of 209 kW, 8 WT, 50 kW BG, and 50 kW DG with a value of Rp 292,308,100 and 163 kg/year. In energy production, there is excess production and electrical energy at the PV capacity of 188 kW, 25 WT, 50 kW BG, and 50 kW DG with values of 2,301,533 kWh/year and 1,821,626 kWh/year. On-grid simulation results obtained the lowest NPC and NOE at 30 kW PV, 5 WT, and 50 kW BG with a value 2,961,782,000 and Rp. 200. Lowest operating costs, lowest CO2 emissions, largest electricity production, and best electricity trading at the PV capacity of 209 kW, 5 WT, and 50 BG with a value Rp 12,428,750, 84,000 kg/year, 882,455 kWh/year, 239,996 kWh, and 132,911 kWh.
SENSITIVITY ANALYSIS OF HYPERPARAMETER IN SOLAR ENERGY PREDICTION MODEL USING GRADIENT BOOSTING METHOD Ramadhan, Aska; Sopha, Bertha Maya; Ridwan, Mohammad Kholid
ASEAN Journal of Systems Engineering Vol 9, No 1 (2025): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v9i1.78322

Abstract

Solar energy prediction is one alternative to handling unpredicted conditions of weather and solar radiation intensity. It could be the most important factor in achieving stability in electricity generation using solar energy resources. In making predictions, the use of machine learning models has been carried out by various methods, and in this study, the method used for the algorithm model is gradient boosting. In the modeling process using gradient boosting, several hyperparameter settings are needed. Hyperparameters have an important role in producing stable predictive patterns and can avoid overfitting or underfitting conditions. In this study, the accuracy and speed of prediction of the machine learning model with the gradient boosting approach, namely XGBoost and LightGBM, were analyzed in relation to setting the hyperparameter learning rate and max depth of the model's prediction pattern. The dataset used spans 6 months at a data resolution rate of every 5 minutes and includes meteorological data at the location point of Energy Laboratory UKRIM Yogyakarta as well as the output value of PLTS power and temperature panels onsite. Setting the hyperparameter learning rate in the highest and lowest conditions generates accuracy values with a difference of 2% and about the same prediction speed. With nMAE values of 2.84% and 1.35% and nRMSE values of 6.11% and 3.68%, respectively, the higher learning rate results in lower error values for both models. The XGBoost model shown tendency for overfitting and slower prediction speeds with the highest max depth setting. The prediction speed is faster at the lowest max depth condition, but the XGBoost and LightGBM models both exhibit underfitting.
Co-Authors Abram Perdana Adyta Pradana Nurrachman Ahmad Agus Setiawan Ahmad Agus Setiawan Ahmad Agus Setiawan Arif Darmawan Bayu Ardiyanto Bertha Maya Sopha Boni Sena Budy Wiryawan Defi Rizkasari Dyah R. Hizbaron Fadli Kasim Feikal Aprieza Fitri Yakub Hizbaron, Dyah R. Junun Sartohadi M. Yayan Adi Putra Maria E. I. Shrestha Nelidya Md Yusoff Nuri Aslami Ramadhan, Aska Resistentio Vembre Franika Robbani, Farisan Sasongko Pramono Hadi Sheikh Ahmad Zaki Shrestha, Maria E. I. Subur Priyono Syam Widiyanto Utami, Sentagi Sesotya Wahyu Wilopo Zulkifli Zulkifli