
Over four months, Adh developed and enhanced the MUSE_2.0 repository for EnergySystemsModellingLab, focusing on configuration, data modeling, and documentation. He implemented CSV-based configuration to support biomass simulation, integrating new agents, commodities, and processes into the model’s data layer for end-to-end scenario analysis. Adh also delivered a multi-output and multi-input example model, expanding the system’s ability to represent complex energy flows. His technical writing and documentation improvements, using Markdown and TOML, clarified model concepts and workflows, improving onboarding and governance. The work demonstrated depth in configuration management and energy systems modeling, resulting in a more maintainable and transparent codebase.

In October 2025, delivered a new example model in MUSE_2.0 to demonstrate multi-output/multi-input processes for SED commodities. This feature enables a single process to produce multiple outputs or consume multiple inputs, supporting more realistic energy system modeling and richer scenario analysis. The change is implemented in EnergySystemsModellingLab/MUSE_2.0 with commit dc6438a907717245298f74718e5c0e4a91083e38, which adds an example model where processes have two SED outputs or two SED inputs.
In October 2025, delivered a new example model in MUSE_2.0 to demonstrate multi-output/multi-input processes for SED commodities. This feature enables a single process to produce multiple outputs or consume multiple inputs, supporting more realistic energy system modeling and richer scenario analysis. The change is implemented in EnergySystemsModellingLab/MUSE_2.0 with commit dc6438a907717245298f74718e5c0e4a91083e38, which adds an example model where processes have two SED outputs or two SED inputs.
June 2025 - Biomass Simulation Data Infrastructure delivered in EnergySystemsModellingLab/MUSE_2.0. Implemented CSV-based configuration for biomass agents, commodities, processes, and parameters, and integrated biomass into the model data layer to enable end-to-end simulation of biomass production and utilization. This extends modelling scope, improves scenario analysis, and supports decarbonization and policy evaluation. No major defects fixed this month; primary focus on feature delivery and data integrity. Commit 92a6bd7d6037b14223309c473148683e5621e5cf documents the biomass supply chain addition.
June 2025 - Biomass Simulation Data Infrastructure delivered in EnergySystemsModellingLab/MUSE_2.0. Implemented CSV-based configuration for biomass agents, commodities, processes, and parameters, and integrated biomass into the model data layer to enable end-to-end simulation of biomass production and utilization. This extends modelling scope, improves scenario analysis, and supports decarbonization and policy evaluation. No major defects fixed this month; primary focus on feature delivery and data integrity. Commit 92a6bd7d6037b14223309c473148683e5621e5cf documents the biomass supply chain addition.
Month: 2025-03. Key accomplishments include delivering documentation improvements for MUSE 2.0, clarifying the iterative solution concept and processing flow, and refining descriptions of commodity price discovery, agent investment, and carbon budget solutions to improve clarity and accuracy. These changes enhance model transparency, onboarding efficiency, and governance readiness for EnergySystemsModellingLab/MUSE_2.0. The work was tracked in commit 3598e41c8e24f66a8fc28a04775349c9da9a29fe (March 2025). No major bug fixes were reported in this period. Overall impact: improved maintainability, reproducibility, and comprehension for stakeholders; demonstrates strong technical communication, documentation discipline, and domain modelling skills.
Month: 2025-03. Key accomplishments include delivering documentation improvements for MUSE 2.0, clarifying the iterative solution concept and processing flow, and refining descriptions of commodity price discovery, agent investment, and carbon budget solutions to improve clarity and accuracy. These changes enhance model transparency, onboarding efficiency, and governance readiness for EnergySystemsModellingLab/MUSE_2.0. The work was tracked in commit 3598e41c8e24f66a8fc28a04775349c9da9a29fe (March 2025). No major bug fixes were reported in this period. Overall impact: improved maintainability, reproducibility, and comprehension for stakeholders; demonstrates strong technical communication, documentation discipline, and domain modelling skills.
February 2025 monthly summary focused on documentation improvements to improve onboarding, governance, and scenario analysis for MUSE 2.0. Consolidated updates cover base year price discovery, dispatch optimisation constraints and calculations, commodity price discovery, asset constraints, and capacity investment iterations. Improved terminology, structure, and explanations in Dispatch Optimisation Formulation, Glossary, and Model Description to reduce misinterpretation and support robust decision-making across the model lifecycle.
February 2025 monthly summary focused on documentation improvements to improve onboarding, governance, and scenario analysis for MUSE 2.0. Consolidated updates cover base year price discovery, dispatch optimisation constraints and calculations, commodity price discovery, asset constraints, and capacity investment iterations. Improved terminology, structure, and explanations in Dispatch Optimisation Formulation, Glossary, and Model Description to reduce misinterpretation and support robust decision-making across the model lifecycle.
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