Abstract

Due to the expanding concern on cleaner production and sustainable development aspects, a technology shift is needed for the hydrogen production, which is commonly derived from natural gas. This work aims to synthesise a large-scale bio-hydrogen network in which its feedstock, i.e., bio-methane, is originated from landfill gas and palm oil mill effluent (POME). Landfill gas goes through a biogas upgrader where high-purity bio-methane is produced, while POME is converted to bio-methane using anaerobic digestor (AD). The generated bio-methane is then distributed to the corresponding hydrogen sink (e.g., oil refinery) through pipelines, and subsequently converted into hydrogen via steam methane reforming (SMR) process. In this work, P-graph framework is used to determine a supply network with minimum cost, while ensuring the hydrogen demands are satisfied. Two case studies in the West and East Coasts of Peninsular Malaysia are used to illustrate the feasibility of the proposed model. In Case Study 1, four scenarios on the West Coast have been considered, showing total cost saving ranging between 25.9% and 49.5%. This showed that aside from the positive environmental impact, the incorporation of bio-hydrogen supply can also be economically feasible. Such benefits can also be seen in Case Study 2, where the uptake of biogas from landfill and POME sources on the East Coast can lead to a 31% reduction on total network cost. In addition, the effect of bio-hydrogen supply network on carbon footprint reduction was analysed in this work.

Highlights

  • Global warming is the main driving force for researchers in finding ways to curb greenhouse gas (GHGs) emissions

  • Case Study 2 is based on the East Coast of Peninsular Malaysia, where both landfill gas and palm oil mill effluent (POME) are utilised as the bio-methane feedstock

  • Refer to the unit operating costs for biogas upgrader, anaerobic digestor (AD), compressor, and steam methane reforming (SMR) units respectively; UICBGU, UICAD, UICComp, UICSMR, and UICPipe refer to unit operating costs for biogas upgrader, AD, compressor, SMR, and pipeline, respectively; XkPOME refers to the conversion ratio of AD process, XiLF

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Summary

Introduction

Global warming is the main driving force for researchers in finding ways to curb greenhouse gas (GHGs) emissions. A bio-hydrogen network is considerably a large network, as it includes (i) the decision of selecting the feedstock for hydrogen production—either natural gas or biogas obtained through landfill/AD process; and (ii) the decision of locating the compressor sub-stations between the sources and sinks. To solve this network problem across a country, a rigorous combinatorial tool called. This work contributes in: (i) extending the P-graph methodology to bio-hydrogen solve hybrid network, bio-hydrogen integrate the use of landfill gas and POME into the conventional hydrogen supply network. Given the biogas capacities of landfill sites and POME sources, a bio-hydrogen supply network

Problem
Methodology
Development
Development of P-Graph Model for Large-Scale Bio-Hydrogen Network
Procedure for bio-hydrogen network synthesis usingusing
Model Formulation
Network Design
Objective Function
FCH4 i
Case Studies
Case Study 1
Supply Demand
Supply Demand Analysis
Cost Analysis
Sensitivity of the Model to Hydrogen Price
Case Study 2
Sensitivity analysis hydrogen for case
10. Location
Base Case Scenario
Environmental Evaluation
13. Effect
Findings
Conclusions
Full Text
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