An adaptive architecture for long term energy programme management

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Noran, O
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2019
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Bucharest, Romania

Abstract

Climate change, population growth, changing energy consumption patterns and the advent of feasible renewable energy sources has prompted governments worldwide to set targets for carbon emission reductions. The transition to a ‘near zero emissions’ industry and energy production presents significant opportunities but also caveats in relation to maintaining the balance of the ‘energy triangle’ aspects, namely economic, security and environmental. Various regions and countries find themselves in different economic, cultural and geopolitical situations which require customised approaches. Moreover, the transition is likely to take significant time, with disruptive technologies emerging in the meantime; therefore, a purely technical solution is unlikely to be viable in the long run. Hence, it would be helpful to complement the supportive, albeit high-level artefacts developed by various global organisations with strategic plans satisfying and abiding by principles that maximise the chances of success. Importantly, such strategic planning must follow a method that is transferable between geographical regions and their local maturity levels in respect to energy triangle viewpoints. This paper describes challenges and highlights of planning such a strategy, including guiding principles for the solution architecture and dynamic business models describing the possible structure and relations between an energy transition programme and its projects.

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E3S Web of Conferences

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111

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© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Artificial intelligence

Software architecture

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Noran, O, An adaptive architecture for long term energy programme management, E3S Web of Conferences, 2019, 111, pp. 06033