2021
DOI: 10.3390/en14185827
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Potential Climate Change Risks to Meeting Zimbabwe’s NDC Goals and How to Become Resilient

Abstract: Almost all countries have committed to develop Nationally Determined Contributions (NDC) to reduce GHG emissions. They determine the level of GHG mitigation that, as a nation, they will commit to reducing. Zimbabwe has ambitious and laudable GHG mitigation targets. Compared to a coal-based future, emissions will be reduced by 33% per capita by 2030. If historical climate conditions continue, it can do this at low or negative cost if suitable sources of climate financing are in place. The NDC plots a positive f… Show more

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Cited by 8 publications
(4 citation statements)
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References 31 publications
(35 reference statements)
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“…Risks related to human capital development One of the significant impacts assessed in the review is the impact of climate change on the hydro energy sector's ability to generate revenue. The studies by (de Queiroz et al, 2019;Howells et al, 2021;Lucas and Mendes-Da-Silva, 2018;Ray et al, 2018) have highlighted the risk climate change will have on the hydroenergy sector's ability to generate revenue. These studies show that guaranteed energy is commonly reduced by climate change, which harms revenue generation.…”
Section: Risk Factors Affecting Investment Decision Criteria For Hydr...mentioning
confidence: 99%
See 1 more Smart Citation
“…Risks related to human capital development One of the significant impacts assessed in the review is the impact of climate change on the hydro energy sector's ability to generate revenue. The studies by (de Queiroz et al, 2019;Howells et al, 2021;Lucas and Mendes-Da-Silva, 2018;Ray et al, 2018) have highlighted the risk climate change will have on the hydroenergy sector's ability to generate revenue. These studies show that guaranteed energy is commonly reduced by climate change, which harms revenue generation.…”
Section: Risk Factors Affecting Investment Decision Criteria For Hydr...mentioning
confidence: 99%
“…This study is a Systematic Review of Investment risks in hydropower, where 34 full-text studies were conducted to develop (Abadie et al, 2020;Fernandes et al, 2019;Hamilton et al, 2020;Wessel et al, 2020) Literature review (Akcay, 2021;Dash and Singh, 2020;Denaro et al, 2018;Shaktawat and Vadhera, 2021;Wyrwoll and Grafton, 2021) Fuzzy-Logic (Dincer and Yuksel, 2019;Hashemizadeh et al, 2021;Karatop et al, 2021;Roy and Roy, 2020;Wu et al, 2020;Yu et (Dincer and Yuksel, 2019) Colar by Difference (CBD) (Fernandes et al, 2019) Multiobjective evolutionary algorithms (MOEA) (Gupta et al, 2020;Hamilton et al, 2020) The open source energy MOdelling SYStem (OSeMOSYS) (Howells et al, 2021) Risk-averse planning (Inzunza et al, 2021) Cost-benefit approach (Udayakumara and Gunawardena, 2018)…”
Section: Conclusion and Limitationsmentioning
confidence: 99%
“…OSeMOSYS is widely recognized as an accessible, straightforward, and quick-learning tool with many capacitybuilding resources and communities of practice [112]. Different studies have implemented OSeMOSYS to evaluate the sustainable expansion of national power systems [113][114][115][116][117][118][119][120][121][122][123][124] or the combination of power and transport sectors [119]. In addition, a recent work explored energy planning in the power sector to integrate electrolytic hydrogen dedicated to exports in Chile [125].…”
Section: Energy System Modelling Frameworkmentioning
confidence: 99%
“…OSeMOSYS is designed to be fully accessible, straightforward, and transparent for supporting long-term energy modelling in academia, industry, and governments [13,[33][34][35]. The framework has widely been used to support local [36][37][38], national [9,[39][40][41][42][43][44][45][46][47][48][49], and regional [50][51][52] energy system assessments.…”
Section: The Osemosys-col Modelmentioning
confidence: 99%