| 1. |
- Masnadi, Mohammad S., et al.
(författare)
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Global carbon intensity of crude oil production
- 2018
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 361:6405, s. 851-853
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Tidskriftsartikel (refereegranskat)abstract
- Producing, transporting, and refining crude oil into fuels such as gasoline and diesel accounts for ∼15 to 40% of the “well-to-wheels” life-cycle greenhouse gas (GHG) emissions of transport fuels (1). Reducing emissions from petroleum production is of particular importance, as current transport fleets are almost entirely dependent on liquid petroleum products, and many uses of petroleum have limited prospects for near-term substitution (e.g., air travel). Better understanding of crude oil GHG emissions can help to quantify the benefits of alternative fuels and identify the most cost-effective opportunities for oil-sector emissions reductions (2). Yet, while regulations are beginning to address petroleum sector GHG emissions (3–5), and private investors are beginning to consider climate-related risk in oil investments (6), such efforts have generally struggled with methodological and data challenges. First, no single method exists for measuring the carbon intensity (CI) of oils. Second, there is a lack of comprehensive geographically rich datasets that would allow evaluation and monitoring of life-cycle emissions from oils. We have previously worked to address the first challenge by developing open-source oil-sector CI modeling tools [OPGEE (7, 8), supplementary materials (SM) 1.1]. Here, we address the second challenge by using these tools to model well-to-refinery CI of all major active oil fields globally—and to identify major drivers of these emissions.
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| 2. |
- Zhang, Qianzhi, et al.
(författare)
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A Systematic Review on power systems planning and operations management with grid integration of transportation electrification at scale
- 2023
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Ingår i: Advances in Applied Energy. - : Elsevier Ltd. - 2666-7924. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Transportation electrification plays a crucial role in mitigating greenhouse gas (GHG) emissions and enabling the decarbonization of power systems. However, current research on electric vehicles (EVs) only provides a fragmented examination of their impact on power system planning and operation, lacking a comprehensive overview across both transmission and distribution levels. This limits the effectiveness and efficiency of power system solutions for greater EV adoption. Conducting a systematic review of the effects of EVs on power transmission and distribution systems (e.g., grid integration, planning, operation, etc.), this paper aims to bridge the fragmented literature on the topic together by focusing on the interplay between transportation electrification and power systems. The study sheds light on the interplay between transportation electrification and power systems, delving into the importance of classifying EVs and charging infrastructure based on powertrain design, duty cycle, and typical features, as well as methods of capturing charging patterns and determining spatial-temporal charging profiles. Furthermore, we provide an in-depth discussion on the benefits of smart charging and the provision of grid-to-vehicle (G2V) and vehicle-to-grid (V2G) services for maintaining power system reliability. With the holistic systems approach, this paper can identify the main objectives and potential barriers of power transmission and distribution systems in accommodating transportation electrification at scale. Concurrently, it paves the way for a comprehensive understanding of technological innovation, transportation-power system decarbonization, policy pathways, environmental advantages, scenario designs, and avenues for future research.
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| 3. |
- Zhao, Ning, et al.
(författare)
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Emerging information and communication technologies for smart energy systems and renewable transition
- 2023
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Ingår i: Advances in Applied Energy. - : Elsevier Ltd. - 2666-7924. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- Since the energy sector is the dominant contributor to global greenhouse gas emissions, the decarbonization of energy systems is crucial for climate change mitigation. Two major challenges of energy systems decarbonization are renewable transition planning and sustainable systems operations. To address the challenges, incorporating emerging information and communication technologies can facilitate both the design and operations of future smart energy systems with high penetrations of renewable energy and decentralized structures. The present work provides a comprehensive overview of the applicability of emerging information and communication technologies in renewable transition and smart energy systems, including artificial intelligence, quantum computing, blockchain, next-generation communication technologies, and the metaverse. Relevant research directions are introduced through reviewing existing literature. This review concludes with a discussion of the industrial use cases and demonstrations of smart energy technologies.
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