scholarly journals ENERGY EFFICIENT AND GREEN TECHNOLOGY CONCEPTS

2014 ◽  
Vol 03 (18) ◽  
pp. 253-258
Author(s):  
Vinutha Bai N .
Keyword(s):  
Energy Efficient ◽  
Green Technology ◽  
Technology Concepts

scholarly journals Factors Driving Consumer Involvement in Energy Consumption and Energy-Efficient Purchasing Behavior: Evidence from Korean Residential Buildings

2020 ◽  
Vol 12 (14) ◽  
pp. 5573 ◽  
Author(s):  
Soyoung Yoo ◽  
Jiyong Eom ◽  
Ingoo Han
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Use ◽  
Residential Buildings ◽  
Cost Effective ◽  
Green Technology ◽  
Consumer Involvement ◽  
Demand Side ◽  
Factors Affecting ◽  
Technological Advances

The recent rapid transition in energy markets and technological advances in demand-side interventions has renewed attention on consumer behavior. A rich literature on potential factors affecting residential energy use or green technology adoption has highlighted the need to better understand the fundamental causes of consumer heterogeneity in buildings’ energy-related behavior. Unresolved questions such as which consumers are most likely to opt into demand-side management programs and what factors might explain the wide variation in behavioral responses to such programs make it difficult for policy-makers to develop cost-effective energy efficiency or demand response programs for residential buildings. This study extends the literature on involvement theory and energy-related behavior by proposing a holistic construct of household energy involvement (HEI) to represent consumers’ personal level of interest in energy services. Based on a survey of 5487 Korean households, it finds that HEI has a stronger association with consumer values, such as preferences for indoor thermal comfort and automation, than with socioeconomic or housing characteristics and demonstrates HEI’s potential as a reliable, integrated predictor of both energy consumption and energy-efficient purchases. The study illuminates the multifaceted influences that shape energy-related behavior in residential buildings and offers new tools to help utility regulators identify and profile viable market segments, improve the cost-effectiveness of their programs, and eventually promote urban sustainability.

scholarly journals Circular Green Technology & Material for the Tire Industry

2021 ◽  
Author(s):  
Elamvazhuthi Kuppusamy
Keyword(s):  
Production Process ◽  
Energy Efficient ◽  
Extrusion Process ◽  
Green Technology ◽  
Batch Processes ◽  
Shop Floor ◽  
Tire Industry ◽  
Twin Screw ◽  
High Conversion Rate ◽  
Extrusion Technology

The whole Tire Industry around the Globe is set on an important mission to create a greener environment wherein the used tires, scrap worn out tires & shop floor rejected tires are used back in to the system of new Tire manufacturing thereby create a Circular Economy in the Tire Industry via non-chemical Devulcanization process. The Tyromer TDP (Tyre Derived Polymer) production process uses an industrial proven extrusion technology in a patented Twin Screw Extruder and it is reliable. The process is energy efficient as it is continuous. That also gives fundamentally more consistent product quality compared to batch processes. In this extrusion process, what goes in must come out and hence the TDP production process creates no waste. The only catalyst used in the process is Super Critical Carbon dioxide. No chemical solvents or devulcanization chemicals are used and the process is Energy efficient (400 kWh/MT), Very Fast (2 minutes from crumb powder to TDP) and having High conversion rate (99+% crumb powder to TDP).

scholarly journals Killer Whale – Backpropagation (KW-BP) Algorithm for Accuracy Improvement of Neural Network Forecasting Models on Energy-Efficient Data

2019 ◽  
Vol 8 (3) ◽  
pp. 270
Author(s):  
Saadi Bin Ahmad Kamaruddin ◽  
Nor Azura Md Ghani ◽  
Hazrita Ab Rahim ◽  
Ismail Musirin
Keyword(s):  
Neural Network ◽  
Energy Efficient ◽  
Killer Whale ◽  
Power Saving ◽  
Green Technology ◽  
Hazardous Substances ◽  
P Value ◽  
Forecasting Models ◽  
The World ◽  
Efficient Data

<p>Green technology building is not newly introduced to the world nor Malaysia, but it is rarely practiced globally and now it has promoted noteworthy due to destructions caused by human hands towards the nature. Now people started to realize that the world is polluted by many hazardous substances. Therefore, Help University came up with the effort of preserving the nature through a new Green Technology campus, which has been fully operated since year 2017. In this research, neural network forecasting models on energy-efficient data of Help University, Subang 2 green technology campus at Subang Bistari, Selangor has been done with respect to value-for-money(VFM) attribute. Previously there were no similar research done on energy-efficient data of Help University, Subang 2 campus. The significant factors with respect to energy or electricity saved(MW/hr) in the year 2017 variable were studied as recorded by Building Automation and Control System(BAS) of Help University Subang 2 campus. Using multiple linear regression (stepwise method), the significant predictor towards energy saved(MW/hr) was Building Energy Index(BEI)(kWh/m2/year) based p-value&lt;α=0.05. A mathematical model was developed. Moreover, the proposed neural network forecasting model using Killer Whale - Backpropagation Algorithm(KWBP) were found to better than existing conventional techniques to forecast BEI data. This research is expected to specifically assist maintenance department of Help University, Subang 2 campus towards load forecasting for power saving planning in years to come.</p>

scholarly journals Induced Effect of Environmental Regulation on Green Innovation: Evidence from the Increasing-Block Pricing Scheme

2021 ◽  
Vol 18 (5) ◽  
pp. 2620
Author(s):  
Zhangsheng Liu ◽  
Liuqingqing Yang ◽  
Liqin Fan
Keyword(s):  
Energy Efficient ◽  
Practical Importance ◽  
Green Technology ◽  
Electricity Pricing ◽  
Green Innovation ◽  
Technological Advances ◽  
Pricing Scheme ◽  
Utility Models ◽  
The Impact

With increasing constraints on resources and the environment, it is of great practical importance to discover and utilize the induced effect of green technology through market-based tools, in order to simultaneously realize economic development and ecological sustainability. Based on unique patent data from 1999 to 2013, this paper examines the induced effect of China’s increasing-block electricity pricing scheme (IBP) on energy-efficient patents and checks whether the effect is neutral or biased. Furthermore, the quality of the induced patents is identified. The results reveal that increased green innovation is strongly related to the IBP scheme. In addition, the induced effect is biased towards green technology such that, apart from autonomous technological advances, the biased effect of IBP induced two more energy-efficient patents per hundred technological patents. However, the quality of the induced innovation is relatively low: compared to high-quality inventions, low-quality utility models showed greater and more significant growth due to the IBP. Our paper provides quantitative insight into the impact of the IBP and indicates that a reasonable pricing scheme can benefit both the environment and the economy.

Performance Evaluation of AFOD Protocol for Energy Efficient Routing

2011 ◽  
Author(s):  
B. Smitha Shekar ◽  
M. Sudhakar Pillai ◽  
G. Narendra Kumar
Keyword(s):  
Performance Evaluation ◽  
Energy Efficient ◽  
Energy Efficient Routing
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