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The Heating, Ventilation and Air Conditioning (HVAC) system accounts for nearly half of the energy consumption of a typical building. Additionally, the need for HVAC changes over hours and days as does the electric energy price. Level of comfort of the building occupants is, however, a primary concern, which tends to overwrite pricing. Dynamic HVAC control under a dynamic energy pricing model while...
Gate-all-around (GAA) nanowire transistor is promising for continuing scaling down the feature size of transistors beyond sub-10nm because it provides the gate with better controllability over the channel by wrapping around. In this paper, the device model for 10nm gate length conventional GAA (C-GAA) and junctionless GAA (JL-GAA) are extracted based on the TCAD simulation. The layout design of GAA...
Accurate timing analysis is a critical step in the design of VLSI circuits. In addition, nanoscale FinFET devices are emerging as the transistor of choice in 32nm CMOS technologies and beyond. This is due to their more effective channel control, higher ON/OFF current ratios, and lower energy consumption. In this paper, an efficient Current Source Model (CSM) is presented to calculate the output waveform...
The heating, ventilation and air conditioning (HVAC) system accounts for half of the energy consumption of a typical building. Additionally, the need for HVAC changes over hours and days as does the electric energy price. Level of comfort of the building occupants is, however, a primary concern, which tends to overwrite pricing. Dynamic HVAC control under a dynamic energy pricing model while meeting...
Although CMOS technology scaling has proceeded to sub-20nm nodes, FinFET devices are considered as the technology-of-choice for sub-20nm technology nodes due to the improved gate control [1]. On the other hand, voltage scaling provides us an energy efficient solution to the VLSI design, such as the near-threshold computing technique [2]. This work investigates the performance and energy consumption...
Plug-in electric vehicles (PEVs) are considered the key to reducing the fossil fuel consumption and an important part of the smart grid. The plug-in electric vehicle-to-grid (V2G) technology in the smart grid infrastructure enables energy flow from PEV batteries to the power grid so that the grid stability is enhanced and the peak power demand is shaped. PEV owners will also benefit from V2G technology...
In this paper, we present a power density analysis for 7nm FinFET technology node, including both near-threshold and super-threshold operations. We first build a Liberty-formatted standard cell library by selecting the appropriate number of fins for the pull-up and pull-down networks of each logic cell. The layout of each cell then is characterized based on the lambda-based layout design rules for...
Dynamic energy pricing is a promising technique in the Smart Grid that incentivizes energy consumers to consume electricity more prudently in order to minimize their electric bills meanwhile satisfying their energy requirements. This has become a particularly interesting problem with the introduction of residential photovoltaic (PV) power generation facilities. This paper addresses the problem of...
The future smart energy systems are projected to be decentralized power networks, each consisting of various types of renewable power generators that serve a small group of energy users. Interaction between different power networks through energy trading over a marketplace provides the chance to fully utilize the capacity of each power generator type. As a result of this interaction, the power generation...
Distributed power generation and distribution network with the dynamic pricing scheme are the major trend of the future smart grid. A smart grid is a network which contains multiple non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers and aim to maximize their own profits. Decentralized power network allows each energy consumer to have multiple choices...
Nanoscale FinFET devices are emerging as the transistor of choice in 32nm CMOS technologies and beyond. This is due to their more effective channel control, higher ON/OFF current ratios, and lower energy consumption. This paper presents an efficient current source model (CSM) for FinFET devices operating in the near/sub-threshold regime, considering multiple input switching (MIS) and accounting for...
Distributed microgrid network is the major trend of future smart grid, which contains various kinds of renewable power generation centers and a small group of energy users. In the distributed power system, each microgrid acts as a “prosumer” (producer and consumer) and maximizes its own social welfare. In addition, different microgrids can interact among each other through trading over a marketplace...
Operating circuits in the near/sub-threshold regime can lower the circuit energy consumption at the expense of lowering the circuit speed. In addition near/sub-threshold can result in higher sensitivity to process-induced variations and transient noise. FinFETs have been proposed as an alternative to planar CMOS devices in sub-20nm CMOS technology nodes due to their more effective channel control,...
Due to limits on the availability of the energy source in many mobile user platforms (ranging from handheld devices to portable electronics to deeply embedded devices) and concerns about how much heat can effectively be removed from chips, minimizing the power consumption has become a primary driver for system-on-chip designers. Because of their superb characteristics, FinFETs have emerged as a promising...
Operating circuits in the ultra-low voltage regime results in significantly lower power consumption but can also degrade the circuit performance. In addition, it leads to higher sensitivity to various sources of variability in VLSI circuits. This paper extends the current source modeling (CSM) technique, which has successfully been applied to VLSI circuits to achieve very high accuracy in timing analysis,...
Distributed power network is the major trend of future smart grid, which contains multiple non-cooperative utility companies who have incentives to maximize their own profits. The energy price competition forms an n-person game among utility companies where one's price strategy will affect the payoffs of others. More interestingly, the use of dynamic energy pricing schemes incentivizes homeowners...
Dynamic pricing and demand response are the key elements of the smart grid technologies. Utility companies can incentivize electricity customers to schedule their power hungry tasks during off-peak times of the day whereas demand response manages customers' electricity consumption in response to supply conditions or market prices. The reaction of consumers to dynamic prices creates a feedback system...
Demand response is a key element of the smart grid technologies. This is a particularly interesting problem with the use of dynamic energy pricing schemes which incentivize electricity consumers to consume electricity more prudently in order to minimize their electric bill. On the other hand optimizing the number and production time of power generation facilities is a key challenge. In this paper,...
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