| 1. |
- DeCarolis, Joseph, et al.
(författare)
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Formalizing best practice for energy system optimization modelling
- 2017
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Ingår i: Applied Energy. - : Elsevier BV. - 1872-9118 .- 0306-2619. ; 194, s. 184-198
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Forskningsöversikt (refereegranskat)abstract
- Energy system optimization models (ESOMs) are widely used to generate insight that informs energy and environmental policy. Using ESOMs to produce policy-relevant insight requires significant modeler judgement, yet little formal guidance exists on how to conduct analysis with ESOMs. To address this shortcoming, we draw on our collective modelling experience and conduct an extensive literature review to formalize best practice for energy system optimization modelling. We begin by articulating a set of overarching principles that can be used to guide ESOM-based analysis. To help operationalize the guiding principles, we outline and explain critical steps in the modelling process, including how to formulate research questions, set spatio-temporal boundaries, consider appropriate model features, conduct and refine the analysis, quantify uncertainty, and communicate insights. We highlight the need to develop and refine formal guidance on ESOM application, which comes at a critical time as ESOMs are being used to inform national climate targets.
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| 2. |
- DeCarolis, Joseph, et al.
(författare)
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Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts
- 2020
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Ingår i: Joule. - : Elsevier BV. - 2542-4351. ; 4:12, s. 2523-2526
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The authors are founding team members of a new effort to develop an Open Energy Outlook for the United States. The effort aims to apply best practices of policy-focused energy system modeling, ensure transparency, build a networked community, and work toward a common purpose: examining possible US energy system futures to inform energy and climate policy efforts. Individual author biographies can be found on the project website: https://openenergyoutlook.org/. DeCarolis et al. articulate the benefits of forming collaborative teams with a wide array of disciplinary and domain expertise to conduct analysis with macro-energy system models. Open-source models, tools, and datasets underpin such efforts by enabling transparency, accessibility, and replicability among team members and with the broader modeling community.
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| 3. |
- Fuso-Nerini, Francesco, et al.
(författare)
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A Research and Innovation Agenda for Zero-Emission European Cities
- 2019
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Ingår i: Sustainability. - : MDPI AG. - 2071-1050. ; 11:6
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Tidskriftsartikel (refereegranskat)abstract
- The Paris Agreement and SDG13 on Climate Action require a global drop in Green House Gases (GHG) emissions to stay within a "well below 2 degrees" climate change trajectory. Cities will play a key role in achieving this, being responsible for 60 to 80% of the global GHG emissions depending on the estimate. This paper describes how Research and Innovation (R&I) can play a key role in decarbonizing European cities, and the role that research and education institutions can play in that regard. The paper highlights critical R&I actions in cities based on three pillars: (1) innovative technology and integration, (2) governance innovation, and (3) social innovation. Further, the research needed to harmonize climate mitigation and adaptation in cities are investigated.
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| 4. |
- Trutnevyte, Evelina, et al.
(författare)
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Societal Transformations in Models for Energy and Climate Policy : The Ambitious Next Step
- 2019
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Ingår i: One Earth. - : Elsevier BV. - 2590-3330 .- 2590-3322. ; 1:4, s. 423-433
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Forskningsöversikt (refereegranskat)abstract
- Whether and how long-term energy and climate targets can be reached depend on a range of interlinked factors: technology, economy, environment, policy, and society at large. Integrated assessment models of climate change or energy-system models have limited representations of societal transformations, such as behavior of various actors, transformation dynamics in time, and heterogeneity across and within societies. After reviewing the state of the art, we propose a research agenda to guide experiments to integrate more insights from social sciences into models: (1) map and assess societal assumptions in existing models, (2) conduct empirical research on generalizable and quantifiable patterns to be integrated into models, and (3) build and extensively validate modified or new models. Our proposed agenda offers three benefits: interdisciplinary learning between modelers and social scientists, improved models with a more complete representation of multifaceted reality, and identification of new and more effective solutions to energy and climate challenges.
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