Climate, Land, Energy and Water systems interactions-From key concepts to model implementation with OSeMOSYSShow others and affiliations
2022 (English)In: Environmental Science and Policy, ISSN 1462-9011, E-ISSN 1873-6416, Vol. 136, p. 696-716Article in journal (Refereed) Published
Abstract [en]
The Climate, Land, Energy and Water systems (CLEWs) approach guides the development of integrated assess-ments. 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 tool, the Open Source Energy Modelling System (OSeMOSYS). Although OSeMOSYS was pri-marily developed for energy systems analysis, the tool's functionality and flexibility allow for its application to CLEWs. A step-by-step explanation of how climate, land, energy, and water systems can be represented with OSeMOSYS, complemented with the interpretation of sets, parameters, and variables in the OSeMOSYS code, is provided. A hypothetical case serves as the basis for developing a modelling exercise that exemplifies the building of a CLEWs model in OSeMOSYS. System-centred scenario analysis is performed with the integrated model example to illustrate its application. The analysis of results shows how integrated insights can be derived from the quantitative exercise in the form of conflicts, trade-offs, opportunities, and synergies. In addition to the modelling exercise, using the OSeMOSYS-CLEWs example in teaching, training and open science is explored to support knowledge transfer and advancement in the field.
Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 136, p. 696-716
Keywords [en]
Integrated systems analysis, Modelling, Nexus approach, CLEWs, OSeMOSYS, Knowledge transfer
National Category
Environmental Sciences Information Systems, Social aspects Social Sciences Interdisciplinary
Identifiers
URN: urn:nbn:se:kth:diva-320239DOI: 10.1016/j.envsci.2022.07.007ISI: 000860763400010Scopus ID: 2-s2.0-85136106122OAI: oai:DiVA.org:kth-320239DiVA, id: diva2:1704393
Note
QC 20221018
2022-10-182022-10-182022-10-18Bibliographically approved