A software framework for optimal decarbonisation planning for ASEAN countries
Climate change is the gravest threat to humanity’s long-term prosperity and the global co-operation to mitigate this threat is unprecedented. The COP26 summit taking place in November 2021 aims to accelerate the achievement of the Paris Agreement’s goals.
To achieve these ambitious emissions targets and keep global warming to below 2°C, strategic planning methods for policymaking are essential. These should span entire nations’ emissions contributions, across sectors, and should be able to plan for achievable implementation of emissions reduction technologies, negative emissions technologies, within budgetary, time, and social uptake constraints.
Association of South East Asian Nations (ASEAN) countries, as developing economies, have seen dramatic rises in CO2 emissions over the past 20 years (e.g. The CO2 per capita of Malaysia has risen from 5 t/y in 2000 to 8 t/y in 2018), and therefore it is important to develop tools that incorporate region-specific conditions.
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The proposed project seeks to develop a decision-making software framework, based on rigorous mathematical optimisation models, for planning the decarbonisation of ASEAN countries, in line with commitments made while signing the Paris Agreement.
The planning framework relies on a combination of proven, mature technologies such as the Carbon Emission Pinch Analysis, developed by members of the project team over the past 10 years, and novel mathematical optimisation-based tools that provide rigorous guarantees on the qualities of the solution, subject to planning constraints such as budget, social resistance to uptake, efficiencies of interventions and policies, uncertainty, technology readiness levels, and implementation time.
The open-source software and planned impact activities ensure that the results and tools’ impact is maximised to help both governmental and industrial policymakers in ASEAN countries to identify achievable emissions targets and the optimal paths to achieve them through a range of technologies, interventions, and budgetary and time constraints.
The team will deliver significant outreach and engagement activities through multi-day workshops with project partners in emissions-intensive industries in Malaysia, as well as with government agencies to ensure that the software and solutions are data-driven, implementable and align with national strategies.
Purusothmn Nair from University of Nottingham Malaysia.
- Malaysian Green Technology And Climate Change Centre – Government Agency
- Aria Sustainability Ltd. – Life Cycle Assessment and corporate carbon footprint consultancy company
- Prof Raymond Tan from De La Salle University
- Dr Jully Tan from Monash University Malaysia.
The project is funding two workshops in Malaysia, which will be held at the beginning of October 2021 (COVID-19 pandemic-willing) or at least before the end of the project (31 March 2022). The workshops will involve a first workshop with policymakers in Malaysia from project partner Malaysian Green Technology And Climate Change Centre and any other policymaking experts from ASEAN countries.
At the workshops, the project team, involving academic and industrial experts in optimisation, life cycle assessment and energy systems planning will present examples of how to use the software and work together with the potential users to tailor the software towards their specific requirements. Please enquire with the project team if you are interested in joining and are from a government or regional energy policymaking group.
The second workshop, will involve a 2-day workshop where we interact with industrial participants from the local chemical, energy, oleochemical, food, and transport industries. In this workshop the project team will demonstrate the software, explain implications of results on business practices and provide training on how to incorporate state-of-the-art techniques in optimisation and LCA to industrial problems.
We hope that this training and interactions with participants will improve business practices and profitability and is provided free of charge for the industrial partners. This will increase the impact of the work by also introducing modern industrial best-practices to the industries, taught by leading experts. Similarly, these workshops may be attended by local engineering professionals and graduate students, giving them an opportunity to learn mathematical optimisation techniques and LCA from the distinguished team. Please enquire with the project team if you are interested in joining these workshops.
The Python-based software is in the early phases of development. At the moment the software is capable of performing CEPA to determine macro-level targets for emissions reduction and the level of negative emissions technologies required to meet certain emissions reduction targets. The software currently uses the open-source algebraic modelling environment, Pyomo (Hart et al., 2020). Please let us know what you think by reaching out to the team on Github or via email.