Digital Integration of Energy Management and GHG Inventories in Thermal Power Generation: A Systems-Based Systematic Mapping Review

Freska Lionia Darlion; Muhammad Isa Lufti; Anggit Permana

doi:10.22441/pasti.2026.v20i2.006

Authors

Freska Lionia Darlion Institut Pariwisata Tedja Indonesia, Indonesia
Muhammad Isa Lufti UMB,
Anggit Permana Universitas Mercu Buana, Indonesia

DOI:

https://doi.org/10.22441/pasti.2026.v20i2.006

Keywords:

digitalization, energy management, GHG inventory, system dynamics, thermal power generation

Abstract

Thermal power generation relies on fuel, electricity, process-performance, emissions, and operational data, yet these data are commonly held in disconnected systems. This study maps how digitalization and systems thinking are used to connect energy management with greenhouse-gas (GHG) inventories. A rapid systematic mapping review examined English- language Scopus records published in 2016-2026. Two search streams returned 156 records; one article-in-press record was removed, and 30 final-stage records were selected through pre specified title-and-abstract screening. Eighteen studies addressed digital operations and 12 used system dynamics or systems thinking for energy and carbon decisions. Most digital studies applied artificial intelligence or machine learning to boiler or turbine optimization, performance prediction, and emissions estimation. Systems studies concentrated on carbon policy, electricity markets, CCUS, and low-carbon fuels. No abstract-level evidence described one plant-level architecture combining real-time operational data, GHG-inventory governance, and system feedback. The study proposes a four-layer integration framework for traceable energy and GHG management.

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