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Simulation Modeling of 140 MW CCGT Quality Indicators Based on DIN-VDI 4661 Standard Using Ebsilon® Professional Software Kaiway, Mickael Ruben; Giai, Agustinus; Griapon, Nourish Christin; Tosuli, Yohanis Tangke; Ranteallo, Obet Takke; Siregar, Samuel Parlindungan; Wanane, Yohanis Yulius; Pongsapan, Allo Sarira; Werdhani, Anastasia Sri; Palamba, Pither; Numberi, Johni Jonatan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6614

Abstract

The operational efficiency of mid-capacity (140 MW) Combined Cycle Gas and Steam Power Plants (CCGT) remains underexplored concerning the DIN-VDI 4661 standard, which defines key quality metrics for energy systems. Addressing this gap is crucial for establishing standardized benchmarks to optimize performance and reduce energy losses. Existing studies mainly focus on Combined Cycle Gas Turbine (CCGT) units outside the 100–180 MW range and often do not explicitly follow DIN-VDI 4661, limiting efficiency comparisons and hindering targeted optimizations. This study simulates a 140 MW CCGT using Ebsilon® Professional software, incorporating DIN-VDI 4661 guidelines to assess eight quality indicators, including thermal efficiency, fuel utilization, and power-to-heat ratio. The model integrates gas and steam turbines, heat recovery, and auxiliary components, with input parameters validated against industry data. Energy balance analysis and sensitivity tests identified loss points. Results show a gas turbine thermal efficiency of 31.39%, steam turbine efficiency of 39.59%, and total system efficiency of 48.42%. However, significant energy losses (52% of input energy) were observed, mainly in gas turbines (87,000 kW) and steam turbines (56,000 kW). These findings highlight the need for design optimizations, such as improving heat recovery and turbine efficiency, to meet DIN-VDI 4661 benchmarks.
Integrated Environmental Management for Nickel Mining Communities in Papua Ramandei, Lazarus; Wanane, Yohanis Yulius
Journal of Community Based Environmental Engineering and Management Vol. 9 No. 2 (2025): September 2025
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v9i2.32341

Abstract

Nickel mining in Papua has experienced rapid expansion to meet global electric vehicle demand, yet poses significant environmental impacts on local communities. This research aims to develop and evaluate an integrated environmental management model that combines electrocoagulation technology, indigenous knowledge systems, and ecosystem restoration strategies to address wastewater pollution and environmental degradation from nickel mining activities. A mixed-method approach was employed with wastewater quality analysis, ecosystem damage mapping, and indigenous community participation evaluation at three nickel mining sites in Raja Ampat, Southwest Papua. The integrated environmental management approach developed in this study consists of four main components: (1) electrocoagulation wastewater treatment system, (2) community-based environmental management using traditional sasi system, (3) phytoremediation using endemic Papuan plants, and (4) participatory monitoring and evaluation framework. Laboratory-scale electrocoagulation testing showed optimal heavy metal removal efficiency at 1.5 A current intensity, 90-minute contact time, and pH 7.5, achieving 95.2% nickel, 93.8% chromium, and 97.5% iron removal from mining wastewater. Implementation of community-based waste management systems using local wisdom sasi approach reduced environmental degradation by 68% and improved community welfare by 45%. The integrated ecosystem restoration model using endemic Papuan ferns demonstrated 78% effectiveness in soil and water quality recovery within 24 months. The research concludes that integrated environmental management approaches combining sustainable technology, community participation, and indigenous knowledge conservation can provide effective solutions to mitigate negative nickel mining impacts while supporting just clean energy transition.