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Author

Wei Feng

Bio: Wei Feng is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Efficient energy use & Microgrid. The author has an hindex of 26, co-authored 102 publications receiving 2086 citations. Previous affiliations of Wei Feng include Tsinghua University & Chinese Academy of Sciences.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors explored four scenarios for Chinese buildings, ranging from a high-energy-demand scenario with no new energy policies to lowest energy demand under a techno-economic-potential scenario that assumes full deployment of cost-effective efficient and renewable technologies by 2050.
Abstract: As China’s rapid urbanization continues and urban dwellers become more affluent, energy use in buildings is expected to grow. To understand how this growth can be slowed, we explore four scenarios for Chinese buildings, ranging from a high-energy-demand scenario with no new energy policies to lowest energy demand under a techno-economic-potential scenario that assumes full deployment of cost-effective efficient and renewable technologies by 2050. We show that, in the high energy demand scenario, building energy demand has an average annual growth rate of about 2.8%, with slower growth rates in the other three scenarios. In all scenarios, CO2 emissions grow slower than energy, with building CO2 peaking around 2045 in the high energy demand scenario, and as early as 2030 in the techno-economic-potential scenario. We show that although various technological solutions, systems and practices can be very effective in minimizing building energy use, rigorous policies are needed to overcome multiple implementation barriers.

216 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed a set of China building energy consumption calculation method (CBECM) by splitting out the building related energy consumption mixed in other sectors in the composition of China Statistical Yearbook-Energy Balance Sheet.

183 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a cost-effective energy efficiency and CO2 emission reduction strategy for China to meet its Paris Agreement Nationally Determined Contribution (NDC) commitments, but also to reduce its 2050 CO2 emissions to a level that is 42% below the country's 2010 emissions.

171 citations

Journal ArticleDOI
TL;DR: The developed MMG operation approach is able to minimize the daily MMG operating cost while mitigating the disturbances of uncertainty in renewable energy sources and can not only reduce the M MG operating cost but also mitigate the frequent energy interaction between the MMG and the grid.

161 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the pricing and operation strategy with demand response (DR) for a MG retailer in an integrated energy system (IES), based on co-optimizing retail rates and MG dispatch formulated as a mixed integer quadratic programming (MIQP) problem, devises a dynamic pricing scheme that reflects the cost of generation and promotes DR, in tandem with an optimal dispatch plan that exploits spark spread and facilitates the integration of renewables.

159 citations


Cited by
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Book ChapterDOI
30 May 2018
TL;DR: Tata Africa Services (Nigeria) Limited as mentioned in this paper is a nodal point for Tata businesses in West Africa and operates as the hub of TATA operations in Nigeria and the rest of West Africa.
Abstract: Established in 2006, TATA Africa Services (Nigeria) Limited operates as the nodal point for Tata businesses in West Africa. TATA Africa Services (Nigeria) Limited has a strong presence in Nigeria with investments exceeding USD 10 million. The company was established in Lagos, Nigeria as a subsidiary of TATA Africa Holdings (SA) (Pty) Limited, South Africa and serves as the hub of Tata’s operations in Nigeria and the rest of West Africa.

3,658 citations

Journal ArticleDOI
TL;DR: A comprehensive and clear picture of the state-of-the-art technologies available, and where they would be suited for integration into a power generation and distribution system is provided in this article.

2,790 citations

01 Jan 1993

2,271 citations

Journal ArticleDOI
TL;DR: The background leading to such promises is carefully assessed in terms of cell and battery production, as well as raw material supply risks, for sodium-ion and modern lithium-ion batteries as mentioned in this paper.
Abstract: Sodium-ion batteries are an appealing alternative to lithium-ion batteries because they use raw materials that are less expensive, more abundant and less toxic. The background leading to such promises is carefully assessed in terms of cell and battery production, as well as raw material supply risks, for sodium-ion and modern lithium-ion batteries.

1,246 citations

01 Jan 2010
TL;DR: In this article, the authors present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices, which is low-cost, wireless, and incrementally deployable within existing buildings.
Abstract: Buildings are among the largest consumers of electricity in the US. A significant portion of this energy use in buildings can be attributed to HVAC systems used to maintain comfort for occupants. In most cases these building HVAC systems run on fixed schedules and do not employ any fine grained control based on detailed occupancy information. In this paper we present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices. Our presence sensor is low-cost, wireless, and incrementally deployable within existing buildings. Using a pilot deployment of our system across ten offices over a two week period we identify significant opportunities for energy savings due to periods of vacancy. Our energy measurements show that our presence node has an estimated battery lifetime of over five years, while detecting occupancy accurately. Furthermore, using a building simulation framework and the occupancy information from our testbed, we show potential energy savings from 10% to 15% using our system.

489 citations