The Low Energy Demand (LED) scenario study is a collaborative exploratory research carried out by several IIASA Programs: Transitions to New Technologies Program (TNT), Energy Program (ENE), Air Quality & Greenhouse Gases Program (AIR), and Ecosystems Services and Management (ESM).
LED aims to illustrate how the historical trajectory of ever-rising energy demand leading to ever aggravating resource and environmental impacts can be reversed driven by technological, organizational and behavioral innovations in all aspects of energy end-use. Dramatic transformations in the way we move around, heat and cool our homes, and buy and use devices and appliances can help raise living standards in the Global South to meet, even exceed the UN Sustainable Development Goals, while also remaining within the 1.5°C target set by the 2015 Paris Agreement, and without relying on unproven and uncertain negative emissions technologies (CO2 removal from the atmosphere by technological means).
LED is one of the four illustrative model pathways in the IPCC Special Report on Global Warming of 1.5°C, and the only one without CCS
LED is the first scenario that quantifies the impacts of digitalization, sharing economy and behavioral change
LED is the lowest long-term global energy demand scenario ever published
The drastic transformative changes on the energy end-use side enable rapid decarbonization of the energy supply and near zero emissions by 2050, and demonstrates significant co-benefits for 6 SDGs
The LED scenario explores a pervasive transformation of the demand side of resource systems including food, energy, land, and water, as opposed to the more traditional scenario and modeling analysis, including Integrated Assessment Models (IAMs), which typically focus on resource provisioning or supply-side transformations. LED integrates a number of emerging trends centered around digitalization, device convergence, the sharing, and circular economy, and associated waste minimization strategies. New technological, organizational, and business model innovations, combined with behavioral changes revolutionize service provisions in direction of highest levels of resource efficiency.
The LED scenario consists of:
In the modeling quantification of LED, the IIASA MESSAGE-GLOBIOM integrated assessment modeling framework was used, complemented by the MAGICC climate and GAINS air pollution and health impact models. Overall demographic and economic development trends as well as non-LED-specific scenario assumptions were based on the SSP2 scenario of the Shared Socioeconomic Pathways (SSP) framework.
The research results are published in a peer-reviewed article in Nature Energy (Grubler et al. 2018) with ample supplementary information. Corresponding scenario quantifications for water are published in Parkinson et al. (2018).
The LED scenario data and results are documented in an online public database.
Last edited: 13 December 2018
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