Evaluating the Transition Towards Post-Carbon Cities: A Literature Review
Abstract
:1. Introduction
2. Research Methodology
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“global”)) = 139 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“national”)) = 91 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“regional”)) = 63 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“urban”)) = 63 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“district”)) = 23 Documents.
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”))) AND (“building”) = 86 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”))) AND (“infrastructure”) = 52 Documents;
- ((“evaluation” OR “valuation” OR “assessment”) AND (“energy transition” OR “post-carbon”) AND (“city” OR “cities”)) = 56 Documents.
“Life Cycle Assessment (LCA)” (28 document results); “Cost-Benefit Analysis” (22 document results); “Sensitivity Analysis” (16 document results); “Environmental Impact Assessment” (14 document results); “Monte Carlo Methods” (13 document results).
“Discounted Cash Flow” OR “DCF” (0 results); “Life Cycle Cost” OR “LCC” (4 document results); “Multicriteria” OR “MCDA” OR “MCA” OR “Multi-criteria” OR “Multiple Criteria Decision Analysis” (13 Document Results); “Neural network” (2 document results); “Regression Analysis” OR “Parametric Model” (3 document results); “Preference evaluation” OR “econometrics” (5 document results); “Geographical Information System” OR “GIS” (12 document results); “Quantitative Analysis” (15 document results).
3. Results and Discussion
3.1. Group A: Analysis about Search Fields
3.2. Group B: Energy Transition and Post-Carbon View at Territorial Scale and in Sector of Application
3.3. Group C: Evaluation Approach and New Trends in Energy Transition and Post-Carbon View
4. Conclusions and Future Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Authors | Years | Source Title | Evaluation Method | Objective and Application Context |
---|---|---|---|---|
Barnes et al. [52] | 2005 | The Urban Household Energy Transition: Social and Environmental Impacts in the Developing World | Geographical Information System | Analysis of the use of renewable energy and impacts on society |
Shterenlikht and Howard [53] | 2006 | Fatigue and Fracture of Engineering Materials and Structures | Neural Network | Evaluation of the ductile to brittle transition behavior of ferritic steels. |
Duke et al. [54] | 2010 | Frontiers of Chemical Engineering in China | Preference Evaluation OR Econometrics | Evaluation of the post-combustion sector and its involvement in energy production |
Guasco et al. [55] | 2011 | Journal of Physical Chemistry A | Monte Carlo Methods | Study of the origin of anharmonic effects through Monte Carlo analysis |
Arthur et al. [56] | 2012 | Energy Economics | Preference Evaluation OR Econometrics | Calculation of the elasticity of domestic energy demand at price and income in Mozambique |
Heun and de Wit [57] | 2012 | Energy Policy | Regression Analysis OR Parametric Model | Analysis of the rise in the price of oil in relation to the energy transition |
Schaede et al. [58] | 2013 | Design and Assessment | Life Cycle Assessment, Life Cycle Cost | Evaluation and design of electric energy storage |
Eising et al. [59] | 2014 | Applied Energy | Geographical Information System | Analysis of transport and supply chain integration |
Evanno and Weinberger [60] | 2014 | Techniques-Sciences-Methodes | Environmental Impact Assessment | Analysis of specific feedback processes related to the biogas of accidents |
King [61] | 2014 | Energy | Life Cycle Assessment | Comparison between the energy performance of systems in the energy transition |
Nordman [62] | 2014 | Renewable Energy | Life Cycle Cost | Analysis of wind farms to power tea factories in Kenya |
Zimmermann et al. [63] | 2014 | Metallurgical Research and Technology | Life Cycle Assessment | Importance of electric vehicles in the energy transition |
Bachmann [64] | 2015 | Environmental Science and Technology | Cost–Benefit Analysis | Strengths and disadvantages of an approach to the environmental economy |
Wesseh et al. [65] | 2015 | Journal of Cleaner Production | Cost–Benefit Analysis | Benefit analysis for renewable energy research and development programs in Liberia |
Zimmermann et al. [66] | 2015 | Integrated Environmental Assessment and Management | Life Cycle Assessment | Study on the importance of electric vehicles for the energy transition |
Calvert [67] | 2016 | Progress in Human Geography | Geographical Information System | Analysis of geographical contributions, study of energy and energy futures. |
Cucchiella et al. [41] | 2016 | Energy Conversion and Management | Cost–Benefit Analysis, Sensitivity Analisis | Evaluation of small-scale photovoltaic systems and results |
Herbert et al. [68] | 2016 | Sustainable Production and Consumption | Life Cycle Assessment | A proposal for types of greenhouse gas emissions |
Lizana et al. [69] | 2016 | Energy and Buildings | Multiple Criteria Decision Analysis | Economic, environmental, and social assessment for a residential energy retrofit |
Sager-Klauß [70] | 2016 | A+BE Architecture and the Built Environment | Geographical Information System | Support for sustainable energy transition planning in small and medium-sized communities |
Sgouridis et al. [71] | 2016 | Renewable and Sustainable Energy Reviews | Cost–Benefit Analysis | Analysis of renewable energy costs in the United Arab Emirates |
Carlier and Chardonnet [72] | 2017 | Environnement, Risques et Sante | Environmental Impact Assessment | Search for the path with the lowest environmental and health impact for the reconstruction of an power line |
Kaltenegger et al. [73] | 2017 | Energy Policy | Cost–Benefit Analysis | Input–output and trend-based energy cost study in Germany and EU |
Ketzer et al. [74] | 2017 | Biomass and Bioenergy | Geographical Information System | Assessment of the sustainable potential of pasture biomass for energy supply |
Kraan et al. [75] | 2017 | Advances in Intelligent Systems and Computing | Cost–Benefit Analysis | Models and studies for adaptation to climate change |
Li and Trutnevyte [76] | 2017 | Applied Energy | Quantitative Analysis, Monte Carlo Methods | Analysis to reduce UK greenhouse gas emissions by 2050 |
Loßner et al. [77] | 2017 | Energy Economics | Cost–Benefit Analysis | Simulation of alternative scenarios on renewable energy |
Muratori et al. [78] | 2017 | Renewable and Sustainable Energy Reviews | Cost–Benefit Analysis, Sensitivity Analysis | Assessment of the increase in the cost of building large energy plants in the US |
Rakotoson and Praene [79] | 2017 | Journal of Cleaner Production | Life Cycle Assessment | Assessment of the environmental impacts of energy production in the French overseas territories |
Scipioni et al. [80] | 2017 | Hydrogen Economy: Supply Chain, Life Cycle Analysis and Energy Transition for Sustainability | Multiple Criteria Decision Analysis | Analysis of the difficulties for a sustainable hydrogen economy |
Serp et al. [81] | 2017 | Energies | Life Cycle Assessment | Evaluation of nuclear energy recycling |
Wan Ahmad et al. [82] | 2017 | Journal of Cleaner Production | Multiple Criteria Decision Analysis | Quantitative assessment of the forces necessary for the sustainable management of the supply chain |
Wang et al. [83] | 2017 | Energy Procedia | Life Cycle Cost, Multiple Criteria Decision Analysis | Resilience analysis for energy systems |
Danielson et al. [84] | 2018 | Lecture Notes in Business Information Processing | Multiple Criteria Decision Analysis | Multi-policy analysis of sustainable choices in Jordan |
Deakin and Reid [85] | 2018 | Journal of Cleaner Production | Cost–Benefit Analysis | Smart city analytics and behavior tips |
Desthieux et al. [86] | 2018 | Frontiers in Built Environment | Geographical Information System | Presentation of a methodology for assessing solar radiation and energy production on building roofs and vertical facades in the city center |
Ghannadzadeh [47] | 2018 | Chemical Engineering Research and Design | Life Cycle Assessment, Monte Carlo Methods | Assessment of the environmental impacts of the chemical components of vinyl chloride |
Ghannadzadeh [48] | 2018 | Renewable Energy | Life Cycle Assessment, Environmental Impact Assessment, Monte Carlo Methods | Assessment of production process for rigid polyurethane synthesis |
Huang et al. [87] | 2018 | Dianli Xitong Zidonghua/Automation of Electric Power Systems | Quantitative Analysis | Analysis and control of carbon market risk |
Li and Pye [88] | 2018 | Energy Research and Social Science | Quantitative Analysis | Experts assess uncertainties in UK energy transition |
López Prol and Steininger [89] | 2018 | Progress in Photovoltaics: Research and Applications | Cost–Benefit Analysis | Calculation of the social profitability of the photovoltaic system in Germany |
Maennel and Kim [90] | 2018 | Energies | Monte Carlo Methods | Assessment of the reduction of air pollutants produced by South Korea and Germany until 2030 |
Meschede et al. [91] | 2018 | Energy Conversion and Management | Cost–Benefit Analysis | Analysis of a 100% renewable subtropical island from the point of view of distribution |
Meylan et al. [92] | 2018 | Waste Management | Life Cycle Assessment | Assessment of waste management systems |
Mullally et al. [93] | 2018 | Environmental Science and Policy | Environmental Impact Assessment | Analysis of participation for the integration of environmental policy |
Raoux et al. [25] | 2018 | Marine Policy | Environmental Impact Assessment | Analysis of alternative scenarios of how the ecosystem will be able to act in wind farms in Normandy |
Shmelev and Shmeleva [94] | 2018 | Sustainable Development | Multiple Criteria Decision Analysis | Assessment of urban sustainability performance through indicators of 57 cities around the world |
Skoczkowski et al. [95] | 2018 | Mitigation and Adaptation Strategies for Global Change | Environmental Impact Assessment | Estimation of the costs and benefits of power plants in Poland in the transition to a low-carbon economy |
Torabi Moghadam et al. [96] | 2018 | Sustainable Cities and Society | Geographical Information System | Estimate of energy consumption of a large number of residential building stocks for space heating |
Tronchin et al. [97] | 2018 | Energy | Regression Analysis OR Parametric Model | Test of an approach to link operational performance analytics with passive home design |
Walker et al. [98] | 2018 | Applied Energy | Monte Carlo Methods, Sensitivity Analysis | Comparative analysis of solutions for aggregated residential prosumers in electricity markets |
Wen et al. [99] | 2018 | Energy Procedia | Quantitative Analysis | Assessment of China’s energy sector transition strategy based on a dynamic simulation model |
Zaman et al. [100] | 2018 | Energy Policy | Multiple Criteria Decision Analysis | Literature review of Bangladesh’s choices towards a sustainable policy |
Zeyringer et al. [101] | 2018 | Renewable Energy | Quantitative Analysis, Sensitivity Analysis | Analysis of the potential contribution of marine energy in the UK from the point of view of energy systems |
Zimmermann and Pye [102] | 2018 | Energy Policy | Environmental Impact Assessment | Assessing the impacts of decarbonization and what effects they have on UK energy and climate policies |
Bódis et al. [103] | 2019 | Renewable and Sustainable Energy Reviews | Cost–Benefit Analysis | Geospatial methods to quantify the roof area to place photovoltaic systems |
Böing and Regett [104] | 2019 | Energies | Cost–Benefit Analysis | Analysis of CO2 emissions via multi-energy carriers |
Burnley [105] | 2019 | Detritus | Life Cycle Assessment | Production of energy from waste |
Camargo et al. [106] | 2019 | GeoScape | Geographical Information System | Estimation of the topology of Bavaria’s medium- and low-voltage networks |
Cavalcanti et al. [107] | 2019 | Energy | Sensitivity Analysis | Analysis to quantify the environmental impacts associated with eucalyptus combustion |
Coroiu [108] | 2019 | Proceedings of 2019 8th International Conference on Modern Power Systems, MPS 2019 | Multiple Criteria Decision Analysis | Evaluation of the performance of energy efficiency solutions of service consumers |
Correa-Florez et al. [109] | 2019 | Energies | Cost–Benefit Analysis, Monte Carlo Methods | Comparative analysis of solutions for aggregated residential prosumers in electricity markets |
Costantini et al. [110] | 2019 | Eurasian Business Review | Preference Evaluation OR Econometrics | Evaluation of different sectors and their behavior in the introduction of new low-consumption technologies |
Drouilles et al. [111] | 2019 | Energy Efficiency | Environmental Impact Assessment | Debate on the energy transition through residential areas in Switzerland |
Ghannadzadeh and Meymivand [112] | 2019 | Clean Technologies and Environmental Policy | Life Cycle Assessment, Monte Carlo Methods | Evaluation of the ethylene oxide production process and solutions |
Ghannadzadeh and Tarighaleslami [113] | 2019 | Environmental Progress and Sustainable Energy | Monte Carlo Methods, Life Cycle Assessment | Assessment of harmful materials in chlorine production |
Jenniches and Worrell [114] | 2019 | Energy for Sustainable Development | Environmental Impact Assessment | Analysis of the benefits of photovoltaic systems in a German region |
Jin et al. [115] | 2019 | Renewable and Sustainable Energy Reviews | Life Cycle Assessment | Estimation of water consumption of renewable energy |
Leporini et al. [116] | 2019 | Renewable Energy | Life Cycle Assessment | A model for the reuse of oil and gas platforms |
Marcucci et al. [117] | 2019 | Applied Energy | Monte Carlo Methods | Assessment of energy transition and climate change at the end of the century |
Markov and Rajaković [118] | 2019 | Energy Conversion and Management | Sensitivity Analysis | Feasibility study in the direction of including significant impacts of the line rating and market conditions |
Mohajeri et al. [119] | 2019 | Renewable Energy | Quantitative Analysis | Assessment of sustainable development scenarios for a Swiss village until 2050 |
Nitsch et al. [120] | 2019 | Energy, Sustainability and Society | Sensitivity Analysis | Estimation of land availability for wind energy |
Pedinotti-Castelle et al. [121] | 2019 | Renewable and Sustainable Energy Reviews | Life Cycle Cost | Cost efficiency assessment and sustainable technology solutions in the residential sector |
Selvakkumaran and Ahlgren [122] | 2019 | Technology in Society | Quantitative Analysis | Study of the energy transition on household behavior |
Stremke and Schöbel [123] | 2019 | Smart and Sustainable Built Environment | Environmental Impact Assessment, Multiple Criteria Decision Analysis | Presentation of a design method aimed at the energy transition |
Thonemann and Maga [124] | 2019 | Sustainable Production, Life Cycle Engineering and Management | Life Cycle Assessment | Environmental analysis of different German energy scenarios |
Watari et al. [125] | 2019 | Resources, Conservation and Recycling | Life Cycle Assessment | Saving mineral resources through the energy transition |
Yang et al. [126] | 2019 | Nature Communications | Quantitative Analysis | Breakdown of energy transfer gap laws revealed by full-dimensional quantum scattering between hydrogen fluoride (HF) molecules |
Yang et al. [127] | 2019 | Energy Procedia | Quantitative Analysis | Study of the average coal consumption rate in China and investments towards the energy transition |
Yu et al. [128] | 2019 | Energy | Monte Carlo Methods, Sensitivity Analysis | Analysis of the reliability of the electrical system in Taiwan |
Albers et al. [129] | 2020 | International Journal of Life Cycle Assessment | Life Cycle Assessment | Evaluation of the use of forest wood residues |
Albers et al. [130] | 2020 | Science of the Total Environment | Sensitivity Analysis | Analysis of the impacts of organic carbon in the soil |
Ameur et al. [39] | 2020 | Journal of Cleaner Production | Cost–Benefit Analysis | Evaluation of photovoltaic system performance |
Atkins [131] | 2020 | Political Geography | Environmental Impact Assessment | Evaluation of the use and benefits of hydroelectric power against anti-dam movements |
Banacloche et al. [44] | 2020 | Science of the Total Environment | Life Cycle Assessment | Sustainability assessment of a hybrid concentrated solar power and biomass plant |
Braunholtz-Speight et al. [132] | 2020 | Nature Energy | Quantitative Analysis | Quantitative analysis of UK community energy project business models, funding mechanisms, and financial results |
Brunet et al. [24] | 2020 | Sustainability (Switzerland) | Multiple Criteria Decision Analysis | Evaluation of a photovoltaic system in Madagascar |
Cox et al. [46] | 2020 | Applied Energy | Life Cycle Assessment, Cost–Benefit Analysis, Sensitivity Analysis | Life cycle analysis and total costs of ownership of current and future vehicles |
Dean et al. [133] | 2020 | International Journal of Greenhouse Gas Control | Cost–Benefit Analysis | Analysis of marine CO2 monitoring |
Ghannadzadeh and Tarighaleslami [42] | 2020 | Sustainable Energy Technologies and Assessments | Life Cycle Assessment | Assessment of sustainability in the production processes of glycerine |
Harajli et al. [49] | 2020 | Energy Policy | Cost–Benefit Analysis | Integrated evaluation of hybrid solar–diesel systems for performance assessment |
Höfer and Madlener [134] | 2020 | Energy Policy | Multiple Criteria Decision Analysis | Evaluation of the choices of different stakeholders on different energy transition scenarios |
Hu et al. [135] | 2020 | Dianli Xitong Zidonghua/Automation of Electric Power Systems | Cost–Benefit Analysis, Sensitivity Analysis | Assessment of the effects of carbon on society and possible solutions |
Jiang et al. [45] | 2020 | Renewable Energy | Life Cycle Assessment | Assessment of the benefits of pellet production in China |
Kim et al. [136] | 2020 | Applied Energy | Regression Analysis OR Parametric Model | Analysis of public opinion change on the energy transition |
Kokkinos et al. [137] | 2020 | Science of the Total Environment | Quantitative Analysis | Energy transition supported by Fuzzy cognitive map modeling |
Middelhauve et al. [138] | 2020 | ECOS 2020—Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems | Multiple Criteria Decision Analysis | Evaluation of key performance indicators on building energy system planning |
Miranda et al. [139] | 2020 | Energies | Sensitivity Analysis | Evaluation of the development of geothermal energy in regions of North America |
Muñoz et al. [140] | 2020 | Energy Strategy Reviews | Geographical Information System | Assessment of the energy performance of cities and future scenarios |
Nechifor et al. [141] | 2020 | World Development | Environmental Impact Assessment | Assessment of steel reuse to support a circular economy in China |
Paltsev [142] | 2020 | Economics of Energy and Environmental Policy | Quantitative Analysis | Quantitative analysis of the decision-making risks associated with different energy paths |
Partidário et al. [143] | 2020 | International Journal of Hydrogen Energy | Life Cycle Assessment, Sensitivity Analysis | Analysis and cost assessments of the hydrogen economy approach |
Patouillard et al. [144] | 2020 | International Journal of Life Cycle Assessment | Life Cycle Assessment, Sensitivity Analysis, Quantitative Analysis | Difference between Consequential Life Cycle Assessment (C-LCA) and LCA |
Raugei et al. [145] | 2020 | Energies | Life Cycle Assessment | Assessment of greenhouse gas emissions and reduction of non-renewable energy through the use of home storage batteries in California |
Rohe [146] | 2020 | Environmental Innovation and Societal Transitions | Geographical Information System | Analysis of wind energy rooted in the national and global territory |
Sareen and Grandin [147] | 2020 | Geografiska Annaler, Series B: Human Geography | Preference evaluation OR econometrics | Oslo 2019 and Lisbon 2020 European Green Capital (EGC) Winners Ratings |
Saretta et al. [148] | 2020 | Sustainable Cities and Society | Geographical Information System | GIS integration for urban retrofit estimation |
Seck et al. [149] | 2020 | Resources, Conservation and Recycling | Life Cycle Assessment | Assessment of the impact of copper availability on the energy transition |
Sharma et al. [150] | 2020 | Environmental Innovation and Societal Transitions | Multiple Criteria Decision Analysis, Sensitivity Analysis | Analysis of decarbonization scenarios in Ireland |
Shaw-Williams and Susilawati [151] | 2020 | Applied Energy | Monte Carlo Methods | Virtual network measurement assessment to address social equity in the energy transition for Australia’s community housing sector |
Taherahmadi et al. [152] | 2020 | International Journal of Sustainable Energy | Life Cycle Assessment | Comprehensive definition of zero energy building |
Tarighaleslami et al. [43] | 2020 | Journal of Cleaner Production | Monte Carlo Methods, Life Cycle Assessment | Assessment for a cheese production plant |
Vellini et al. [38] | 2020 | Journal of Cleaner Production | Cost–Benefit Analysis, Sensitivity Analysis | Quantification of the economic burden associated with the reduction of direct CO2 emissions |
Wang et al. [153] | 2020 | Energy | Cost–Benefit Analysis, Environmental Impact Assessment | Cost–benefit analysis on different domestic energy use options |
Wei et al. [154] | 2020 | China Economic Review | Preference Evaluation OR Econometrics, Quantitative Analysis | Presentation of energy demand progress in China |
Wen et al. [155] | 2020 | International Journal of Electrical Power and Energy Systems | Quantitative Analysis | Quantitative analysis of the energy transition in China and future hypothetical scenarios |
Wiehe et al. [156] | 2020 | International Journal of Energy Research | Geographical Information System | Presentation of a geospatial model that calculates the potential of renewable energies and their influence on society |
Yan et al. [157] | 2020 | IEEE Sensors Journal | Neural Network | Proposal for an ultrasonic method for the inspection of gas pipelines |
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Bottero, M.; Dell’Anna, F.; Morgese, V. Evaluating the Transition Towards Post-Carbon Cities: A Literature Review. Sustainability 2021, 13, 567. https://doi.org/10.3390/su13020567
Bottero M, Dell’Anna F, Morgese V. Evaluating the Transition Towards Post-Carbon Cities: A Literature Review. Sustainability. 2021; 13(2):567. https://doi.org/10.3390/su13020567
Chicago/Turabian StyleBottero, Marta, Federico Dell’Anna, and Vito Morgese. 2021. "Evaluating the Transition Towards Post-Carbon Cities: A Literature Review" Sustainability 13, no. 2: 567. https://doi.org/10.3390/su13020567