InSmart – A methodology for combining modelling with stakeholder input towards EU cities decarbonisation

Simões, Sofia; Dias, Luís; Gouveia, João Pedro; Seixas, Júlia; Miglio, Rocco De; Chiodi, Alessandro; Gargiulo, Maurizio; Long, Gavin; Giannakidis, George

doi:10.1016/j.jclepro.2019.05.143

Cited by 29 publications

(12 citation statements)

References 26 publications

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“…There are several examples of applications of AHP and PROMETHEE in the fields of energy planning, selection of energy projects, and sustainable supply chains (Abdullah et al, 2019;Mastrocinque et al, 2020;Zelt et al, 2019). PROMETHEE has also been used in the development and evaluation of scenarios for energy planning (Simoes et al, 2019;Witt et al, 2020) and for evaluating market opportunities for renewables (Andreopoulou et al, 2018).…”

Section: Overview Of the Assessment Frameworkmentioning

confidence: 99%

“Building Back Better” in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19

Zachariadis¹,

Giannakis²,

Taliotis³

et al. 2021

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Overview Of the Assessment Frameworkmentioning

confidence: 99%

“Building Back Better” in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19

Zachariadis¹,

Giannakis²,

Taliotis³

et al. 2021

Policy Research Working Papers

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“…Based on practical experience of modelling four European cities, Simoes et al [35] argue for the benefits of combining qualitative analysis with quantitative modelling at an urban level to identify an optimal mix of measures. Further, it is concluded that an approach relying solely on quantitative energy system modelling would result in substantially different scenario recommendations compared to a more holistic approach.…”

Section: Energy System Planning and Energy System Modellingmentioning

confidence: 99%

Designing Tools for Energy System Scenario Making in Municipal Energy Planning

et al. 2021

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Energy planning increasingly revolves around the use of tools for energy system modelling and analysis with a view to generating scenarios to show implications and possibilities for decision makers. Municipalities engage in the transition to renewable energy systems through the formulation of strategies and goals at a local level despite often lacking appropriate tools and resources to conduct the needed complex analyses. Tools for energy system analyses have traditionally been designed either with the scope of national energy systems or detailed project-specific analysis in mind, leaving municipal planners in a state of flux. This study aims to identify important specifications and critical design principles for future energy system modelling tools designed for municipal planners. Through a qualitative case-oriented approach, this study investigates the planning practices of four municipalities. It is found that future tools for municipal planning purposes need to combine the need for systematic analyses with concrete and implementable initiatives while balancing analytical complexity with operational simplicity.

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“…The Integrated MARKAL-EFOM System (TIMES) modelling framework [55][56][57] is developed and maintained by the Energy Technology Systems Analysis Programme (ET-SAP), an International Energy Agency (IEA) Technology Collaboration Programme which was established in 1976. TIMES models follow the bottom-up energy system modelling approach [58,59] and are typically single or multi-regional models of local [60], national [16,25], multinational [61] or global [62] energy systems. They are often characterised by databases allowing ample technology choice and are used for both medium-and long-term energy systems analysis and planning.…”

Section: Times Modelling Frameworkmentioning

confidence: 99%

Exploring the Long-Term Development of the Ukrainian Energy System

et al. 2021

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This study analyses the Ukrainian energy system in the context of the Paris Agreement and the need for the world to limit global warming to 1.5 °C. Despite ~84% of greenhouse gas emissions in Ukraine being energy- and process-related, there is very limited academic literature analysing long-term development of the Ukrainian energy system. This study utilises the TIMES-Ukraine model of the whole Ukrainian energy system to address this knowledge gap and to analyse how the energy system may develop until 2050, taking into current and future policies. The results show the development of the Ukrainian energy system based on energy efficiency improvements, electrification and renewable energy. The share of renewables in electricity production is predicted to reach between 45% and 57% in 2050 in the main scenarios with moderate emission reduction ambitions and ~80% in the ambitious alternative scenarios. The cost-optimal solution includes reduction of space heating demand in buildings by 20% in frozen policy and 70% in other scenarios, while electrification of industries leads to reductions in energy intensity of 26–36% in all scenarios except frozen policy. Energy efficiency improvements and emission reductions in the transport sector are achieved through increased use of electricity from 2020 in all scenarios except frozen policy, reaching 40–51% in 2050. The stated policies present a cost-efficient alternative for keeping Ukraine’s greenhouse gas emissions at today’s level.

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InSmart – A methodology for combining modelling with stakeholder input towards EU cities decarbonisation

Cited by 29 publications

References 26 publications

“Building Back Better” in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19

“Building Back Better” in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19

Designing Tools for Energy System Scenario Making in Municipal Energy Planning

Exploring the Long-Term Development of the Ukrainian Energy System

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