Skip to main navigation Skip to search Skip to main content

Life cycle inventories and life cycle assessment for an electricity grid network: case study of the Jamali grid, Indonesia

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Purpose: The electricity and heat sectors are reported to contribute approximately 40% of total CO2 emissions from the energy sector in Indonesia. Nonetheless, Indonesia is composed of several interconnected electricity-grid networks with different characteristics. This study was conducted to identify the life cycle inventories (LCIs) and perform a life cycle assessment (LCA) to determine the potential environmental impacts of electricity distributed in the Jamali grid network, contributing to 72% of the total electricity produced in Indonesia. Methods: An LCA was conducted with a functional unit of 1 kWh of electricity generated and transmitted in the distribution line in the Jamali grid network in 2018. The system boundary used in this study was cradle-to-gate, covering fuel production and transportation, electricity generation, and electricity distribution. The LCIs were gathered for each power plant’s technology connected to the grid, which includes fuel consumption, fuel-related wastes, infrastructure, land use, water use, and air emissions. The following impact categories were assessed: global warming potential (GWP), acidification potential (AP), eutrophication potential (EP), photochemical oxidation potential (POX), abiotic depletion potential (ADP), abiotic depletion potential–fossil fuels (ADF), and water scarcity footprint (WSF). Methods used to calculate those categories include IPCC GWP 100a, CML-IA (Baseline and Non-baseline), ReCiPe, and AWARE. Results and discussion: LCI analysis showed that the subcritical coal-fired power plants contributed to the highest electricity generation (58.80%), energy consumption (89.39%), and CO2 production (70.52%) among other technologies connected to the grid. Subsequently, for every 1 kWh of electricity distributed in the grid, the power plants’ operation produced the largest GWP, AP, and POX. Each category produced a total of 1.06 kg CO2 eq., 5.89 × 10−03 kg SO2 eq, and 4.08 × 10−03 kg NMVOC, respectively. The EP and ADF produced were 2.62 × 10−03 kg PO4 eq. and 1.58 × 101 MJ, respectively, mainly resulting from coal mining. ADP produced was 2.30 × 10−05 kg Sb eq. and WSF produced was 3.8 × 10−02 m3, both majorly contributed by the production of transmission and distribution grid materials. Conclusions: LCA performed to determine the potential environmental impacts from the electricity distributed in the Jamali grid showed that the electricity produced from subcritical coal-fired power plants dominated the electricity mix in 2018. Subsequently, it contributed significantly to multiple impact categories, namely GWP, AP, and POX. Reducing the use of subcritical coal-fired power plants is thus essential to reduce the environmental impacts, which is aligned with the Indonesian government’s plan to reach net-zero emissions by 2060.

Original languageEnglish
Pages (from-to)1081-1091
Number of pages11
JournalInternational Journal of Life Cycle Assessment
Volume27
Issue number8
DOIs
Publication statusPublished - Aug 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Electricity
  • Electricity mix
  • Indonesia
  • Jamali grid
  • Life cycle assessment
  • Life cycle inventory

Fingerprint

Dive into the research topics of 'Life cycle inventories and life cycle assessment for an electricity grid network: case study of the Jamali grid, Indonesia'. Together they form a unique fingerprint.

Cite this