Interaction of Energy Consumption, Energy Quality, and Freshwater Production in the Multiple Effect Desalination Process

2018 ◽  
pp. 537-564
Author(s):  
Giacomo Filippini ◽  
Flavio Manenti ◽  
Iqbal M. Mujtaba
Keyword(s):  
Energy Consumption ◽  
Multiple Effect ◽  
Consumption Energy

Are Crypto-Assets Green Enough? – An analysis of draft EU Regulation on markets in crypto assets from the perspective of the European Green Deal

2021 ◽  
Vol 67 (2) ◽  
pp. 237-250
Author(s):  
Emanuel Wanat
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Resource Use ◽  
Growth Strategy ◽  
Environmental Footprint ◽  
Current Effect ◽  
Consensus Protocol ◽  
Consumption Energy ◽  
Competitive Economy ◽  
The Eu

In 2019 European Commission announced “The European Green Deal” a “a new growth strategy that aims to transform the EU into a fair and prosperous society, with a modern, resource-efficient and competitive economy where there are no net emissions of greenhouse gases in 2050 and where economic growth is decoupled from resource use”. The digital sector must also participate in the Green Deal effort. This articles analyzes questions of sustainability in the context of crypto assets, with particular emphasis on the question of whether Bitcon acutally represent a crypto asset, energy consumption, energy drain, the proof-of-work consensus protocol, the environmental footprint of crypto assets. The article concludes that Bitcoin’s current effect on environment remains controversial at best.

Energy-Efficient Cooperative Spectrum Sensing for Cognitive Radio Networks

2015 ◽  
pp. 100-121
Author(s):  
Saud Althunibat ◽  
Sandeep Narayanan ◽  
Marco Di Renzo ◽  
Fabrizio Granelli
Keyword(s):  
Energy Consumption ◽  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
High Energy ◽  
Radio Networks ◽  
Participation Decision ◽  
Consumption Energy ◽  
Fusion Centre

One of the main problems of Cooperative Spectrum Sensing (CSS) in cognitive radio networks is the high energy consumption. Energy is consumed while sensing the spectrum and reporting the results to the fusion centre. In this chapter, a novel partial CSS is proposed. The main concern is to reduce the energy consumption by limiting the number of participating users in CSS. Particularly, each user individually makes the participation decision. The energy consumption in a CSS round is expected by the user itself and compared to a predefined threshold. The corresponding user will participate only if the expected amount of energy consumed is less than the participation threshold. The chapter includes optimizing the participation threshold for energy efficiency maximization. The simulation results show a significant reduction in the energy consumed compared to the conventional CSS approach.

scholarly journals Effectiveness of Fixed-Bed Regenerators for Energy Recovery in Buildings Applications

2020 ◽  
Vol 172 ◽  
pp. 09001
Author(s):  
Hadi Ramin ◽  
Easwaran N. Krishnan ◽  
Carey J. Simonson
Keyword(s):  
Energy Consumption ◽  
Energy Recovery ◽  
Fixed Bed ◽  
High Ratio ◽  
Test Facility ◽  
Small Scale ◽  
Outdoor Air ◽  
Considerable Portion ◽  
Consumption Energy ◽  
Scale Test

Energy consumption for ventilation purposes in buildings makes up a considerable portion of HVAC energy consumption. Energy recovery ventilators (ERVs) can reduce the required energy to pre-condition outdoor air in winter and summer seasons. Due to the high ratio of heat transfer area to volume, Fixed-Bed Regenerators (FBRs) can reach high effectiveness up to 90%. However, limited research studies are available for FBRs in HVAC applications. In this paper, a small-scale test facility is used to determine the sensible effectiveness of a FBR. Furthermore, a numerical model is proposed and validated against the experimental results from the small-scale test facility. The numerical results for latent effectiveness have been compared with available data in the literature and the comparison shows a satisfactory agreement between numerical and results from the literature.

scholarly journals Dilution effect of the building area on energy intensity in urban residential buildings

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jingxin Gao ◽  
Xiaoyang Zhong ◽  
Weiguang Cai ◽  
Hong Ren ◽  
Tengfei Huo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Energy Savings ◽  
Residential Buildings ◽  
Dilution Effect ◽  
Building Energy ◽  
Residential Energy ◽  
Stirpat Model ◽  
Building Area ◽  
Consumption Energy

Abstract Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

The Empirical Research of Energy Utilization Efficiency in Industrial Sectors Based on DEA-Malmquist

2012 ◽  
Vol 463-464 ◽  
pp. 1025-1029
Author(s):  
Ming Xiang Lu ◽  
Guang Wen Ma ◽  
Yan Long Hu ◽  
Jing Wang
Keyword(s):  
Energy Consumption ◽  
Technical Efficiency ◽  
Energy Production ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Regional Research ◽  
Industrial Sectors ◽  
Production And Consumption ◽  
Consumption Energy ◽  
Reducing Energy

This study selected Sichuan Province of China's energy production and consumption province as the regional research object. It studied energy utilization efficiency in industrial sectors from output of energy consumption, energy utilization technical efficiency, pure technical efficiency, and change index of energy utilization efficiency by the data of energy consumption and GDP. The output of energy consumption and energy utilization efficiency were big difference in industrial sectors. It provided the basis of taking different measures according to the different characteristic in industrial sectors while reducing energy consumption and energy conservation

scholarly journals ENERGY CONSUMPTION, ECONOMIC GROWTH AND GREENHOUSE GAS EMISSIONS IN THE EUROPEAN UNION COUNTRIES

2017 ◽  
Vol 18 (6) ◽  
pp. 1082-1097 ◽  
Author(s):  
Giedrė LAPINSKIENĖ ◽  
Kęstutis PELECKIS ◽  
Neringa SLAVINSKAITĖ
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Climate Change Policy ◽  
Positive Sign ◽  
The European Union ◽  
Gas Emissions ◽  
Consumption Energy ◽  
Energy Taxes

This paper investigates the relationship between economic growth, greenhouse gas emissions and other factors based on the panel data of 22 countries of the EU in the period 1995–2014. The fixed effect panel model was used as a framework for the analysis. The novel contribution of this paper is that the factors of economic growth, energy consumption, energy taxes as well as R&D were tested in one expanded EKC model, including the data of three Baltic States. The regression coefficients referring to GDP, Energy consumption have a positive sign, while R&D and Energy taxes have a negative sign. The empirical analysis combines two steps of evaluation of panel models of different groups of countries. The results imply that the analysed factors (energy consumption, energy taxes as well as R&D) can be applied to adjust the EKC trend in the region and might be useful for the climate change policy adjustment.

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