Deep carbon reductions in California require electrification and integration across economic sectors
Bibliographic Data
| ID | 15547729 |
|---|---|
| Authors | Max Wei (0000-0002-3108-8207, Lawrence Berkeley National Laboratory, corresponding author), James H Nelson (0000-0001-5173-7449), Jeffery B Greenblatt (0000-0002-6421-3385, Lawrence Berkeley National Laboratory), Ana Mileva (University of California, Berkeley), Josiah Johnston (0000-0002-6113-4518, University of California, Berkeley), Michael Ting (0000-0002-4302-4614), Michael M Ting (0000-0002-1144-346X, Itron (United States)), Christopher Yang (0000-0002-9462-9074, University of California, Davis), Chris Jones (0000-0002-5044-1336, University of California, Berkeley), James E McMahon (0000-0003-0537-790X, Lawrence Berkeley National Laboratory), Daniel M Kammen (0000-0003-2984-7777, University of California, Berkeley, corresponding author) |
| Year | 2013 |
| Volume | 8 |
| Issue | 1 |
| Pages | 014038-014038 |
| Publication date | 2013-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/8/1/014038 |
| OpenAlex | W2155056638 |
| Language | EN |
| Citations received | 10 |
| References cited | 9 |
Meeting a greenhouse gas (GHG) reduction target of 80% below 1990 levels in the year 2050 requires detailed long-term planning due to complexity, inertia, and path dependency in the energy system. A detailed investigation of supply and demand alternatives is conducted to assess requirements for future California energy systems that can meet the 2050 GHG target. Two components are developed here that build novel analytic capacity and extend previous studies: (1) detailed bottom-up projections of energy demand across the building, industry and transportation sectors; and (2) a high-resolution variable renewable resource capacity planning model (SWITCH) that minimizes the cost of electricity while meeting GHG policy goals in the 2050 timeframe. Multiple pathways exist to a low-GHG future, all involving increased efficiency, electrification, and a dramatic shift from fossil fuels to low-GHG energy. The electricity system is found to have a diverse, cost-effective set of options that meet aggressive GHG reduction targets. This conclusion holds even with increased demand from transportation and heating, but the optimal levels of wind and solar deployment depend on the temporal characteristics of the resulting load profile. Long-term policy support is found to be a key missing element for the successful attainment of the 2050 GHG target in California
Business · Economics · Electric power system · Electricity · Electrification · Environmental economics · Fossil fuel · Greenhouse gas · Natural resource economics · Renewable energy · Software deployment · Variable renewable energy · Building Energy and Comfort Optimization · Computer Science · Engineering · Environmental Impact and Sustainability · Environmental Science · Integrated Energy Systems Optimization
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| Unique citing works | 10 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2014 - 2024 (11) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |