LAPSE:2026.0221v1
Published Article

LAPSE:2026.0221v1
Techno-Economic Assessment and Optimisation of Self-Sufficient Biomethane Systems for Regional Decarbonisation
June 12, 2026
Abstract
Existing gas network infrastructure are important national energy assets, transporting mostly fossil-derived natural gas to end-users. Biomethane, methane derived from anaerobic digestion (AD) of organic matter, presents a potential route to replace fossil fuels with home-grown renewable gas. Combined with carbon capture and storage (CCS) of the CO2 in the biogas potentially results in carbon negative energy. This work seeks to understand the feasibility of operating a part of the gas network isolated from the main natural gas network fully on biomethane in Scotland. We present an integrated techno-economic optimisation framework for designing self-sufficient biomethane islands, applied to the Inverness network. The model, implemented as a nonlinear program (NLP), maximises annual net profit from biomethane sales and Green Gas Support Scheme (GGSS) tariffs subject to practical constraints such as GGSS-compliance of =50 % waste-derived biomethane, seasonal supply, land/scale, demand balancing with centralised liquefied natural gas (LNG) storage, and a life-cycle global warming potential (GWP) metric. Three archetypes are analysed: Type A (crop-dominated, manure co-digestion), Type B (food/industrial wastes, grass/manure support), and Type C (distillery residues + grass/manure). In Inverness, feasible solutions include: Type A (2 large ~92, 000 m³ digestion plants at ~23 ha/site producing 97.39 Mm³ y?¹ of gas; net revenue £13.4 M y?¹; GWP ~42.2 ktCO2e/y), Type B (1 ~97, 000 m³ plant at ~24 ha, producing 48.69 Mm³ y?¹ gas; net revenue £9.4 m y?¹; GWP ~48.0 ktCO2e/y), and Type C (2 large ~110, 000 m³ plants at ~27 ha, producing 97.4 Mm³ y?¹ of gas; net revenue £13.0 m y?¹; GWP ~47.2 ktCO2e/y). Type B is most profitable per unit capacity due to gate-fee feedstocks but carries higher GWP (mostly from grass-silage cultivation). The model balances a combination of dynamic feeding of different recipes with using a centralised LNG storage to buffers seasonal deficits and maximise asset utilisation; optional CO2 liquefaction (~87.7 kt y?¹ per large site at ~151 kWh t?¹) enables near/net-negative operation under low-carbon power. Our results find that the business model is feasible for Inverness and highlight the value of systems thinking and the need for policy reform (particularly lifting the 250 GWh y?¹ cap for GGSS and rewarding carbon intensity rather than just waste-derived methane) to unlock larger, efficient, low-emission regional systems.
Existing gas network infrastructure are important national energy assets, transporting mostly fossil-derived natural gas to end-users. Biomethane, methane derived from anaerobic digestion (AD) of organic matter, presents a potential route to replace fossil fuels with home-grown renewable gas. Combined with carbon capture and storage (CCS) of the CO2 in the biogas potentially results in carbon negative energy. This work seeks to understand the feasibility of operating a part of the gas network isolated from the main natural gas network fully on biomethane in Scotland. We present an integrated techno-economic optimisation framework for designing self-sufficient biomethane islands, applied to the Inverness network. The model, implemented as a nonlinear program (NLP), maximises annual net profit from biomethane sales and Green Gas Support Scheme (GGSS) tariffs subject to practical constraints such as GGSS-compliance of =50 % waste-derived biomethane, seasonal supply, land/scale, demand balancing with centralised liquefied natural gas (LNG) storage, and a life-cycle global warming potential (GWP) metric. Three archetypes are analysed: Type A (crop-dominated, manure co-digestion), Type B (food/industrial wastes, grass/manure support), and Type C (distillery residues + grass/manure). In Inverness, feasible solutions include: Type A (2 large ~92, 000 m³ digestion plants at ~23 ha/site producing 97.39 Mm³ y?¹ of gas; net revenue £13.4 M y?¹; GWP ~42.2 ktCO2e/y), Type B (1 ~97, 000 m³ plant at ~24 ha, producing 48.69 Mm³ y?¹ gas; net revenue £9.4 m y?¹; GWP ~48.0 ktCO2e/y), and Type C (2 large ~110, 000 m³ plants at ~27 ha, producing 97.4 Mm³ y?¹ of gas; net revenue £13.0 m y?¹; GWP ~47.2 ktCO2e/y). Type B is most profitable per unit capacity due to gate-fee feedstocks but carries higher GWP (mostly from grass-silage cultivation). The model balances a combination of dynamic feeding of different recipes with using a centralised LNG storage to buffers seasonal deficits and maximise asset utilisation; optional CO2 liquefaction (~87.7 kt y?¹ per large site at ~151 kWh t?¹) enables near/net-negative operation under low-carbon power. Our results find that the business model is feasible for Inverness and highlight the value of systems thinking and the need for policy reform (particularly lifting the 250 GWh y?¹ cap for GGSS and rewarding carbon intensity rather than just waste-derived methane) to unlock larger, efficient, low-emission regional systems.
Record ID
Keywords
Alternative Fuels, Biofuels, Modelling and Simulations, Renewable and Sustainable Energy, Technoeconomic Analysis
Subject
Suggested Citation
Dolat M, Dekhici B, Short M. Techno-Economic Assessment and Optimisation of Self-Sufficient Biomethane Systems for Regional Decarbonisation. Systems and Control Transactions 5:161-168 (2026) https://doi.org/10.69997/sct.198589
Author Affiliations
Dolat M: School of Chemistry and Chemical Engineering, University of Surrey, Guildford GU2 7XH, UK
Dekhici B: School of Chemistry and Chemical Engineering, University of Surrey, Guildford GU2 7XH, UK
Short M: School of Chemistry and Chemical Engineering, University of Surrey, Guildford GU2 7XH, UK. Institute for Sustainability, University of Surrey, Guildford GU2 7XH, UK
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Dekhici B: School of Chemistry and Chemical Engineering, University of Surrey, Guildford GU2 7XH, UK
Short M: School of Chemistry and Chemical Engineering, University of Surrey, Guildford GU2 7XH, UK. Institute for Sustainability, University of Surrey, Guildford GU2 7XH, UK
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Journal Name
Systems and Control Transactions
Volume
5
First Page
161
Last Page
168
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 0161-0168-399-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0221v1
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https://doi.org/10.69997/sct.198589
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References Cited
- D. for Energy Security and N. Zero, "Biomass Strategy 2023, " 2023. [Online]. Available: www.gov.uk/official-documents
- Cadent, "Accelerating biomethane in the UK, " 2025. Accessed: Feb. 01, 2026. [Online]. Available: https://cadentgas.com/getContentAsset/4ba7a0cd-4b18-478e-938c-f109400b4c73/1edc10b3-193a-4a87-9cfc-cbb68531e06b/Cadent_Accelerating-Biomethane-in-the-UK.pdf?language=en
- Moretta F, Goracci A, Manenti F, Bozzano G. Data-driven model for feedstock blending optimization of anaerobic co-digestion by BMP maximization. Journal of Cleaner Production 375:134140 (2022) https://doi.org/10.1016/j.jclepro.2022.134140
- Dolat M, Murali R, Zarei M, Zhang R, Pincam T, Liu YQ, Sadhukhan J, Bywater A, Short M. Dynamic feed scheduling for optimised anaerobic digestion: an optimisation approach for better decision-making to enhance revenue and environmental benefits. Digital Chemical Engineering 13:100191 (2024) https://doi.org/10.1016/j.dche.2024.100191
- Zarei M, Dolat M, Murali R, Zhu M, Pennington O, Zhang D, Short M. Real-time dynamic optimisation for sustainable biogas production through anaerobic co-digestion with hybrid models. Systems and Control Transactions 4:2423-2428 (2025) https://doi.org/10.69997/sct.130144
- Mayerle SF, Neiva de Figueiredo J. Designing optimal supply chains for anaerobic bio-digestion/energy generation complexes with distributed small farm feedstock sourcing. Renewable Energy 90:46-54 (2016) https://doi.org/10.1016/j.renene.2015.12.022
- Ó Céileachair D, O'Shea R, Murphy JD, Wall DM. The effect of seasonal biomass availability and energy demand on the operation of an on-farm biomethane plant. Journal of Cleaner Production 368:133129 (2022) https://doi.org/10.1016/j.jclepro.2022.133129
- Murali R, Bywater A, Dolat M, Dekhici B, Zarei M, Hilton L, Sadhukhan J, Zhang D, Short M. Anaerobic digestion site-wide optimisation and decision-making: an industrial perspective and review. Renewable and Sustainable Energy Reviews 226:116402 (2026) https://doi.org/10.1016/j.rser.2025.116402
- He F, Short M, Chen Q, Liu L. Integrating multi-timescale energy storage into net-zero electricity systems under evolving technologies and policy environment: insights from the united kingdom's case study. Energy Conversion and Management 352:121076 (2026) https://doi.org/10.1016/j.enconman.2026.121076
- Hart WE, Watson JP, Woodruff DL. Pyomo: modeling and solving mathematical programs in python. Math. Prog. Comp. 3:219-260 (2011) https://doi.org/10.1007/s12532-011-0026-8
- Wächter A, Biegler LT. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106:25-57 (2005) https://doi.org/10.1007/s10107-004-0559-y
- R. Zhang et al., "Novel Life Cycle GHG Formulations of Anaerobic Digestion Systems Aligned with Policy, " 2024, doi: 10.2139/ssrn.4837715.
- Zhang D, Li D, Bywater A, Short M, Sadhukhan J. Carbon credits monetary value for anaerobic digestion systems and energy policy implication in the UK. The Innovation Energy 2:100066 (2025) https://doi.org/10.59717/j.xinn-energy.2024.100066
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