clicSAND for OSeMOSYS: a user-friendly interface using open-source optimisation software for energy system modelling analysis.

Author:

Cannone Carla1ORCID,Allington Lucy2ORCID,de Wet Nicki,Shivakumar Abhishek3ORCID,Goynes Philip,Valderrama Cesar4ORCID,Kell Alex5,Plazas-Niño Fernando6,Mohanty Reema6,Kapor Vedran,Wright Jarrad7ORCID,Yeganyan Rudolf1ORCID,Tan Naomi1ORCID,To Long Seng2ORCID,Harrison John8ORCID,Howells Mark1ORCID

Affiliation:

1. Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom; Imperial College London, United Kingdom

2. Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom

3. Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom; Imperial College London, United Kingdom; United Nations Department of Economic and Social Affairs (UNDESA), USA

4. Universitat Politècnica de Catalunya·BarcelonaTECH, Spain

5. Centre for Environmental Policy, Imperial College London, London SW7 1NE, UK

6. Department of Geography and Environment, Loughborough University, Loughborough LE11 3TU, UK

7. National Renewable Energy Laboratory (NREL), United States

8. Loughborough University

Abstract

Abstract Energy models are crucial for helping governments and policymakers plan long-term investments in the energy transition context. One of the most established open-source optimisation models is OSeMOSYS—the Open-Source Energy Modelling System. This paper presents a new user interface—clicSAND—for OSeMOSYS, which shortens the learning curve and supports beginner energy modellers to perform long-term investment analyses efficiently. The freely available and open-source clicSAND software consists of a user-friendly Excel interface for entering data, integrated solvers, and a dashboard for visualising results. The results, which extend to 2070, can inform policy decisions and mobilise financial resources for sustainable development measures, for example, ensuring affordable and secure energy supply and mitigating the effects of climate change. This paper describes clicSAND's main benefits, architecture, and functionalities. A review of the evolution from clicSAND 1.0 to clicSAND 3.0 is also discussed. Furthermore, a South-African case study undertaken by participants of the international capacity-building event—the EMP-A (Energy Modelling Platform for Africa) 2021 shows the results achieved by inexperienced users following a three-week training course. Finally, current applications and future extensions of the software are also presented.

Publisher

Research Square Platform LLC

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