Abhishek Shivakumar
Biographic Data
| ID | 6717893 |
|---|---|
| NAME | Abhishek Shivakumar |
| GIVEN NAMES | Abhishek |
| FAMILY NAME | Shivakumar |
| SIGNATURE | SHIVAKUMAR A |
| AFFILIATIONS | United Nations Department of Economic and Social Affairs |
| ORCID | 0000-0002-2535-4134 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Quantifying households’ carbon footprint in cities using socioeconomic attributes
The effects of climate change mitigation strategies on the energy system of Africa and its associated water footprint
Africa’s economic and population growth prospects are likely to increase energy and water demands. This quantitative study shows that energy decarbonisation pathways reduce water withdrawals (WWs) and water consumption (WC) relative to the baseline scenario. However, the more aggressive decarbonisation pathway (1.5 °C) leads to higher overall WWs than the 2.0 °C scenario but lower WC levels by 2065. By 2065, investments in low-carbon energy infra…
Climate, Land, Energy and Water systems interactions – From key concepts to model implementation with OSeMosys
The Climate, Land, Energy and Water systems (CLEWs) approach guides the development of integrated assessments. The approach includes an analytical component that can be performed using simple accounting methods, soft-linking tools, incorporating cross-systems considerations in sectoral models, or using one modelling tool to represent CLEW systems. This paper describes how a CLEWs quantitative analysis can be performed using one single modelling t…
A clustering approach to improve spatial representation in water-energy-food models
Currently available water-energy-food (WEF) modelling frameworks to analyse cross-sectoral interactions often share one or more of the following gaps: (a) lack of integration between sectors, (b) coarse spatial representation, and (c) lack of reproducible methods of nexus assessment. In this paper, we present a novel clustering tool as an expansion to the Climate-Land-Energy-Water-Systems modelling framework used to quantify inter-sectoral linkag…
The Climate, Land, Energy, and Water systems (CLEWs) framework
Population growth, urbanization and economic development drive the use of resources. Securing access to essential services such as energy, water, and food, while achieving sustainable development, require that policy and planning processes follow an integrated approach. The 'Climate-, Land-, Energy-and Water-systems' (CLEWs) framework assists the exploration of interactions between (and within) CLEW systems via quantitative means. The approach wa…
Valuing blackouts and lost leisure
Climate, Land, Energy and Water systems interactions – From key concepts to model implementation with OSeMosys
The Climate, Land, Energy and Water systems (CLEWs) approach guides the development of integrated assessments. The approach includes an analytical component that can be performed using simple accounting methods, soft-linking tools, incorporating cross-systems considerations in sectoral models, or using one modelling tool to represent CLEW systems. This paper describes how a CLEWs quantitative analysis can be performed using one single modelling t…
Valuing blackouts and lost leisure
The Climate, Land, Energy, and Water systems (CLEWs) framework
Population growth, urbanization and economic development drive the use of resources. Securing access to essential services such as energy, water, and food, while achieving sustainable development, require that policy and planning processes follow an integrated approach. The 'Climate-, Land-, Energy-and Water-systems' (CLEWs) framework assists the exploration of interactions between (and within) CLEW systems via quantitative means. The approach wa…
A clustering approach to improve spatial representation in water-energy-food models
Currently available water-energy-food (WEF) modelling frameworks to analyse cross-sectoral interactions often share one or more of the following gaps: (a) lack of integration between sectors, (b) coarse spatial representation, and (c) lack of reproducible methods of nexus assessment. In this paper, we present a novel clustering tool as an expansion to the Climate-Land-Energy-Water-Systems modelling framework used to quantify inter-sectoral linkag…
Quantifying households’ carbon footprint in cities using socioeconomic attributes
The effects of climate change mitigation strategies on the energy system of Africa and its associated water footprint
Africa’s economic and population growth prospects are likely to increase energy and water demands. This quantitative study shows that energy decarbonisation pathways reduce water withdrawals (WWs) and water consumption (WC) relative to the baseline scenario. However, the more aggressive decarbonisation pathway (1.5 °C) leads to higher overall WWs than the 2.0 °C scenario but lower WC levels by 2065. By 2065, investments in low-carbon energy infra…
Climate, Land, Energy and Water systems interactions – From key concepts to model implementation with OSeMosys
The Climate, Land, Energy and Water systems (CLEWs) approach guides the development of integrated assessments. The approach includes an analytical component that can be performed using simple accounting methods, soft-linking tools, incorporating cross-systems considerations in sectoral models, or using one modelling tool to represent CLEW systems. This paper describes how a CLEWs quantitative analysis can be performed using one single modelling t…
Water-Energy-Food Nexus Studies (4 works) · Computer Science (3 works) · Economics (3 works) · Energy and Environment Impacts (3 works) · Engineering (3 works) · Environmental Science (3 works) · Geography (3 works) · Hybrid Renewable Energy Systems (3 works) · Carbon Footprint (2 works) · Energy, Environment, and Transportation Policies (2 works)