Neil D. Strachan, Ph.D.
Affiliations: | 2000 | Carnegie Mellon University, Pittsburgh, PA |
Area:
System Science Engineering, General Economics, Environmental Sciences, Energy, Operations ResearchGoogle:
"Neil Strachan"Parents
Sign in to add mentor| Hadi Dowlatabadi | grad student | 2000 | Carnegie Mellon | |
| (Adoption and supply of a distributed energy technology.) | ||||
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Publications
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| Butnar I, Li PH, Strachan N, et al. (2020) A deep dive into the modelling assumptions for biomass with carbon capture and storage (BECCS): A transparency exercise. Environmental Research Letters. 15: 84008 |
| Barazza E, Strachan N. (2020) The co-evolution of climate policy and investments in electricity markets: Simulating agent dynamics in UK, German and Italian electricity sectors Energy Research and Social Science. 65: 101458 |
| Barazza E, Strachan N. (2020) The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition Energy Policy. 138: 111274 |
| Gambhir A, Butnar I, Li P, et al. (2019) A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS Energies. 12: 1747 |
| Li FGN, Strachan N. (2019) Take me to your leader: Using socio-technical energy transitions (STET) modelling to explore the role of actors in decarbonisation pathways Energy Research and Social Science. 51: 67-81 |
| Strachan N, Fais B, Daly H. (2016) Reinventing the energy modelling–policy interface Nature Energy. 1: 16012 |
| Li FGN, Pye S, Strachan N. (2016) Regional winners and losers in future UK energy system transitions Energy Strategy Reviews. 13: 11-31 |
| Fais B, Sabio N, Strachan N. (2016) The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets Applied Energy. 162: 699-712 |
| Trutnevyte E, Guivarch C, Lempert R, et al. (2016) Reinvigorating the scenario technique to expand uncertainty consideration Climatic Change. 135: 373-379 |
| Daly HE, Scott K, Strachan N, et al. (2015) Indirect CO2 Emission Implications of Energy System Pathways: Linking IO and TIMES Models for the UK. Environmental Science & Technology. 49: 10701-9 |