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Energy system analytics and good governance -U4RIA goals of Energy Modelling for Policy Support
Energy system analytics and good governance -U4RIA goals of Energy Modelling for Policy Support
Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it can insert threads that influence our development. We argue therefore, that energy modelling that provides policy support (EMoPS) should not only be grounded in rigorous analytics, but also in good governance principles. As, together with other policy actions, it should be accountable. Almost all aspects of society and much of its impact on the environment are influenced by our use of energy. In this context, EMoPS can inspire, motivate, calibrate, and ‘post assess’ energy policy. But, such modeling is often undertaken by too few analysts under time and resource pressure. Building on the advances of ‘class leaders’, we propose that EMoPS should reach for practical goals — including engagement and accountability with the communities it involves, and those it will later affect. (We use the term Ubuntu, meaning ‘I am because you are’ to capture this interdependency). We argue that Ubuntu, together with retrievability, repeatability, reconstructability, interoperability and auditability (U4RIA) of EMoPS should be used to signal the beginnings of a new default practice. We demonstrate how the U4RIA principles can contribute in practice using recent modelling of aspirational energy futures by Costa Rica as a case study. This modelling effort includes community involvement and interfaces and integrates stakeholder involvement. It leaves a trail that allows for its auditing and accountability, while building capacity and sustainable institutional memory.
- Simon Fraser University Library Canada
- Royal Institute of Technology Sweden
- International Renewable Energy Agency United Arab Emirates
- European Commission Belgium
- University College London United Kingdom
Artificial intelligence, Policy Evaluation, Interdependence, Knowledge management, FOS: Political science, Data science, Engineering, Context (archaeology), Stakeholder, Energy Supply and Security Issues for Developed Economies, Business, Accountability, Energy Systems, Political science, Energy, Corporate governance, Statistics, Interoperability, General Energy, Physical Sciences, Global Energy Transition and Fossil Fuel Depletion, Analytics, Public relations, FOS: Law, Accounting, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Energy Resilience, Biology, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Renewable Energy, Sustainability and the Environment, Paleontology, Audit, Computer science, Process (computing), Management science, Operating system, Energy (signal processing), Process management, Law, Consistency (knowledge bases), Mathematics, Finance
Artificial intelligence, Policy Evaluation, Interdependence, Knowledge management, FOS: Political science, Data science, Engineering, Context (archaeology), Stakeholder, Energy Supply and Security Issues for Developed Economies, Business, Accountability, Energy Systems, Political science, Energy, Corporate governance, Statistics, Interoperability, General Energy, Physical Sciences, Global Energy Transition and Fossil Fuel Depletion, Analytics, Public relations, FOS: Law, Accounting, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Energy Resilience, Biology, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Renewable Energy, Sustainability and the Environment, Paleontology, Audit, Computer science, Process (computing), Management science, Operating system, Energy (signal processing), Process management, Law, Consistency (knowledge bases), Mathematics, Finance
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