Feebates promoting energy-efficient cars: Design options to address more consumers and possible counteracting effects

Energy Policy ◽  
2008 ◽  
Vol 36 (4) ◽  
pp. 1355-1365 ◽  
Author(s):  
Anja Peters ◽  
Michel G. Mueller ◽  
Peter de Haan ◽  
Roland W. Scholz
Author(s):  
Verónica Jiménez-López ◽  
Anibal Luna-León ◽  
Stefano Benni ◽  
Gonzalo Bojórquez-Morales

Greater amount of energy consumed in wineries is used for cooling and humidifying of the interior, for this reason the correct design of energy efficient wineries has become an important issue for winemaking countries. The purpose of the design of buildings that require less or no energy to achieve controlled conditions of the indoor hygrothermal environment for production and aging of wine, allowed to formulate the objective of this work, which was to evaluate six models of wineries with bioclimatic design located in El Valle de Guadalupe, Baja California from data on thermal performance (indoor temperature and relative humidity) and energy consumption (kWh and degrees-hour), obtained by dynamic thermal simulation. The zone of the study was characterized, based on the review of previous studies optimum temperature ranges were defined for aging and wine production. A basic model of a winemaking building was designed to which bioclimatic strategies were applied. The results obtained allowed to suggest the best bioclimatic design options for this type of buildings.


Author(s):  
Basma M. Mohammad El-Basioni ◽  
Sherine M. Abd El-Kader ◽  
Hussein S. Eissa ◽  
Mohammed M. Zahra

The purpose of this chapter is the study of the clustering process in Wireless Sensor Networks (WSN), starting with clarifying why there are different clustering protocols for WSN by stating and briefly describing some of the variate features in their design; these features can represent questions the clustering protocol designer asks before the design, and their brief description can be considered probabilities for these questions’ answers to represent design options for the designer. The designer can choose the best answer to each design question or, in better words, the best design options that will make its protocol different from the others and make the resultant clustered network satisfies some requirements for improving the overall performance of the network. The chapter also mentions some of these requirements. The chapter then gives illustrative examples for these design variations and requirements by studying them on three well-known clustering protocols: Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy-Efficient Clustering Scheme (EECS), and Hybrid, Energy-Efficient, Distributed clustering approach for ad-hoc sensor networks (HEED).


Crystals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1036
Author(s):  
Hung-Jin Teng ◽  
Yu-Hsuan Chen ◽  
Jr-Jie Tsai ◽  
Nguyen Dang Chien ◽  
Chenhsin Lien ◽  
...  

This work numerically elucidates the effects of transverse scaling on Schottky barrier charge-trapping cells for energy-efficient applications. Together with the scaled gate structures and charge-trapping dielectrics, variations in bias conditions on source-side injection are considered for properly operating Schottky barrier cells in low-power or high-efficiency applications. A gate voltage of 5 to 9 V with a drain voltage of 1 to 3 V was employed to program the Schottky barrier cells. Both the non-planar double-gate gate structure and scaled dielectric layers effectively improve the source-side programming. When the gate voltage of 5 V was operated, there were roughly two orders of magnitude greater injected gate currents observed in the ONO-scaled double-gate cells. Five successive programming-trapping iterations were employed to consider the coupling of trapped charges and Schottky barriers, examining the differences in physical mechanisms between different design options. The gate structures, dielectric layers, and gate/drain voltages are key factors in designing transverse scaled Schottky barrier charge-trapping cells for low-power and high-efficiency applications.


2016 ◽  
Vol 13 (1) ◽  
pp. 151-171 ◽  
Author(s):  
Sonja Filiposka ◽  
Anastas Mishev ◽  
Carlos Juiz

Ever since the start of the green HPC initiative, a new design constriction has appeared on the horizon for the top supercomputer designers. Today?s top HPCs must not only boast with their exascale performances, but must take into account reaching the new exaflops frontiers with as minimum power consumption as possible. The goals of this paper are to present the current status of the top supercomputers from both performance and power consumption points of view. Using the current and available historical information from the Top and Green HPC lists, we identify the most promising design options and how they perform when combined together. The presented results reveal the main challenges that should become the focus of future research.


2011 ◽  
Author(s):  
B. Smitha Shekar ◽  
M. Sudhakar Pillai ◽  
G. Narendra Kumar

2020 ◽  
Vol 39 (6) ◽  
pp. 8139-8147
Author(s):  
Ranganathan Arun ◽  
Rangaswamy Balamurugan

In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH (CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs.


Author(s):  
Yugashree Bhadane ◽  
Pooja Kadam

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.


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