“…Carbon capture and storage (CCS) is recognized as an important emission reduction technology that can be applied in the power system. Various CCS technologies are available for the units retrofit and new facilities (Tang et al., 2021), for example, coal CCS, oil CCS, natural gas CCS, and biomass CCS (Zhang & Chen, 2021). Since we have focused on the rapid cost decrease of renewables and new transmission, we have not listed CCS‐related parameter in our model.…”
In order to peak emissions before 2030 and to achieve the net‐zero ambition around 2060, China urgently needs to accelerate low‐carbon transition, especially in the power system. Previous studies were mainly focused on deterministic optimization, with some of them being followed by sensitivity analyses. To tackle the gaps and to support the net‐zero ambition, this study develops a multi‐region power system risk management (MPRM) model to analyze composite effects of renewable energy development and inter‐regional electricity transmission under uncertainties, and their combinations to achieve carbon neutrality by 2060. In detail, MPRM can (a) reveal the downward trend in costs of renewable energy and the increasing in inter‐regional electricity transmission; (b) tackle the uncertainties expressed as intervals; (c) support the low‐carbon transition of the power system. Under the renewable‐dominated power structure, 90% of China's electricity demands can be derived from non‐fossil sources by 2060. Inter‐regional electricity transmission will continue to expand due to the dramatic decreases in the costs of renewables and fast‐growing demands for electricity. Northwest and east regions will be the main exporter and importer of renewable electricity. Carbon emissions from power system will peak in 2030 (about 6.21% above the 2020 level) and be eliminated by 96% (of 2030 levels) by 2060. These results can provide support for expansion of renewable capacities, acceleration of low‐carbon transition in power structure, elimination of barriers in electricity trading across regions, and exploration of the trade‐off between system costs and risk.
“…Carbon capture and storage (CCS) is recognized as an important emission reduction technology that can be applied in the power system. Various CCS technologies are available for the units retrofit and new facilities (Tang et al., 2021), for example, coal CCS, oil CCS, natural gas CCS, and biomass CCS (Zhang & Chen, 2021). Since we have focused on the rapid cost decrease of renewables and new transmission, we have not listed CCS‐related parameter in our model.…”
In order to peak emissions before 2030 and to achieve the net‐zero ambition around 2060, China urgently needs to accelerate low‐carbon transition, especially in the power system. Previous studies were mainly focused on deterministic optimization, with some of them being followed by sensitivity analyses. To tackle the gaps and to support the net‐zero ambition, this study develops a multi‐region power system risk management (MPRM) model to analyze composite effects of renewable energy development and inter‐regional electricity transmission under uncertainties, and their combinations to achieve carbon neutrality by 2060. In detail, MPRM can (a) reveal the downward trend in costs of renewable energy and the increasing in inter‐regional electricity transmission; (b) tackle the uncertainties expressed as intervals; (c) support the low‐carbon transition of the power system. Under the renewable‐dominated power structure, 90% of China's electricity demands can be derived from non‐fossil sources by 2060. Inter‐regional electricity transmission will continue to expand due to the dramatic decreases in the costs of renewables and fast‐growing demands for electricity. Northwest and east regions will be the main exporter and importer of renewable electricity. Carbon emissions from power system will peak in 2030 (about 6.21% above the 2020 level) and be eliminated by 96% (of 2030 levels) by 2060. These results can provide support for expansion of renewable capacities, acceleration of low‐carbon transition in power structure, elimination of barriers in electricity trading across regions, and exploration of the trade‐off between system costs and risk.
“…Most modeling studies produce decarbonization pathways using some form of least-cost optimization, but lack feasibility analysis such as the availability of resources required by these paths and social acceptance. Examples of such studies include ones for China ( Li et al., 2020 ; Zhang and Chen, 2021 ; Song et al., 2022 ), for the U.S. ( Denholm et al., 2021 ; Cole et al., 2021 ), and for the E.U. ( Millot et al., 2020 ; Löffler et al., 2019 ).…”
Section: Introduction and Literature Reviewmentioning
Summary
A growing number of governments are pledging to achieve net-zero greenhouse gas emissions by mid-century. Despite such ambitions, realized emissions reductions continue to fall alarmingly short of modeled energy transition pathways for achieving net-zero. This gap is largely a result of the difficulty of realistically modeling all the techno-economic and sociopolitical capabilities that are required to deliver actual emissions reductions. This limitation of models suggests the need for an energy-systems analytical framework that goes well beyond energy-system modeling in order to close the gap between ambition and reality. Toward that end, we propose the Emissions-Sustainability-Governance-Operation (ESGO) framework for structured assessment and transparent communication of national capabilities and realization. We illustrate the critical role of energy modeling in ESGO using recent net-zero modeling studies for the world's two largest emitters, China and the United States. This illustration leads to recommendations for improvements to energy-system modeling to enable more productive ESGO implementation.
“…In recent years, climate change and environmental pollution caused by the increasing emissions of greenhouse gases have become increasingly prominent, and all the countries around the world are actively developing clean energy to deal with this global challenge. , Hence, electric vehicles (EVs) and hybrid EVs (HEVs) have been widely accepted to replace traditional internal combustion engine vehicles due to their low emissions, environmental protections, and high energy efficiencies. − Power battery modules/packs, as the main power sources of EVs, are closely related to the endurance, reliability, and safety of EVs. − Among many kinds of power batteries, lithium-ion batteries (LIBs) are widely used to assemble the battery modules due to their advantages of high energy density, low self-discharge, long cycle life, and negligible memory effect. , However, the performances of LIBs are very sensitive to their operating temperatures, and it has been proven that their optimal operating temperature range is 20–40 °C …”
The current battery thermal management (BTM) system integrating
indirect heating and PCM cooling structures still suffers from relatively
low heating efficiency and high energy consumption. In this work,
we develop a BTM structure, which possesses both heating and cooling
functionalities, by directly wrapping thin heating films around the
cells inserted in a phase change material cooling module. Compared
to the indirect heating structure, this novel direct contact structure
allows direct heat transfer from the heating film to the batteries
and thereby presents a more effective heating performance and lower
energy consumption. For example, under the ambient temperature of
0 °C, the direct heating strategy with a heating power of 80
W delivers the shortest heating time of 78 s along with a temperature
difference (ΔT) of 3.07 °C, thereby demonstrating
the highest comprehensive evaluation factor of 0.645 and lowest energy
consumption of 3.9%. Under the more severe ambient temperature of
−20 °C, a heating time of 384 s with a ΔT of 3.77 °C can be achieved at a direct heating power
of 60 W, suggesting the highest comprehensive evaluation factor of
0.503 and a lower energy consumption of 14.5%.
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