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Analisis Pengaruh Perbandingan ΔT terhadap Optimasi Energi dengan Metode Problem Table

*W Widayat  -  Program Studi Program Profesi Insinyur Fakultas Teknik, Universitas Diponegoro, Jl. Prof. Soedarto, SH, Kampus UNDIP Tembalang, Semarang, Indonesia 50275, Indonesia
Ahmad Nur Ihsan  -  Department of Chemical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Edward Emannuel Santosa  -  Department of Chemical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
M. Syafiq Hazim  -  Department of Chemical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Natalia Lydia Efrata Simbolon  -  Department of Chemical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Safira Rizkya Puteri  -  Department of Chemical Engineering, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Received: 11 Oct 2025; Revised: 30 Nov 2025; Accepted: 14 Dec 2025; Available online: 16 Dec 2025; Published: 2 Feb 2026.

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Abstract

Problem table analysis adalah metode kuantitatif dalam teknologi pinch untuk menghitung kebutuhan minimum panas (hot utility) dan pendinginan (cold utility) pada sistem termal industri. Dengan menyusun data suhu dan entalpi dalam bentuk tabel, metode ini membagi fluida ke dalam interval suhu berdasarkan ΔTmin, lalu menghitung surplus atau defisit energi di setiap interval melalui neraca entalpi. Hasil divisualisasikan sebagai heat cascade untuk menentukan titik pinch dan batas pemanfaatan panas internal. Analisis pada ΔTmin 10–28°C menunjukkan bahwa semakin besar ΔTmin, semakin besar kebutuhan hot utility, sementara cold utility mengalami fluktuasi akibat variasi distribusi panas, karakteristik stream dan konfigurasi aliran. Pemilihan ΔTmin yang tepat penting untuk menyeimbangkan efisiensi energi internal dengan konsumsi energi eksternal, guna mencapai desain jaringan penukar panas yang optimal, efisien dan ekonomis.

 

Kata kunci: problem table, optimasi, suhu

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