Thomas Alfstad
Biographic Data
| ID | 6717892 |
|---|---|
| NAME | Thomas Alfstad |
| GIVEN NAMES | Thomas |
| FAMILY NAME | Alfstad |
| SIGNATURE | ALFSTAD T |
| AFFILIATIONS | United Nations Department of Economic and Social Affairs |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
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…
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…
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…
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…
Computer Science (3 works) · Water-Energy-Food Nexus Studies (3 works) · Geography (2 works) · Hybrid Renewable Energy Systems (2 works) · Integrated Energy Systems Optimization (2 works) · Agency (philosophy (1 work) · Artificial Intelligence (1 work) · Cluster analysis (1 work) · Complex system (1 work) · Conceptual framework (1 work)