The Evaluation of Energy Consumption and CO2 Emission on Green Building Certification Apartments in Korea

2014 ◽  
Vol 525 ◽  
pp. 384-387 ◽  
Author(s):  
Jae Han Park ◽  
Gi Wook Cha ◽  
Won Hwa Hong
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Environmental Performance ◽  
Environmental Design ◽  
Green Building ◽  
Environment Friendly ◽  
Efficient Energy ◽  
Certification System ◽  
Institutional Issues

With G-SEED (Green Standard for Energy and Environmental Design), an environment-friendly building certification system, Korea is promoting the efficient energy management in the building. In particular, apartments account for the biggest share of the G-SEED authentication results. However, there has not been enough evaluation or research on the environmental performance of buildings certified by G-SEED as well as its own institutional issues. Therefore, this study compared energy consumption and CO2 emissions of G-SEED certified apartments and non G-SEED certified apartments to analyze the environmental performance of G-SEED certified apartments. The analysis shows that G-SEED certified apartments have better results than non G-SEED certified apartments in terms of energy consumption and CO2 emissions.

scholarly journals Energetic Sustainability of Systems

Proceedings ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Attila Albini ◽  
Edina Albininé Budavári ◽  
Zoltán Rajnai
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
General System ◽  
Test Model ◽  
Flexible Systems ◽  
Energy Sustainability ◽  
Efficient Energy ◽  
Energy Interaction ◽  
Closed Systems

An important problem in our world is that humanity’s energy consumption is constantly rising. Therefore, nowadays there is an increasing emphasis on the problem of reusability and efficient energy management. The present paper studies the energy sustainability of systems by developing a unique test model. Using this test model, the theoretical problems of closed systems are investigated. With a theoretical experiment, the temporal motion of rigid systems is monitored and the behavior of flexible systems is analyzed. Finally, the study of the energy interaction of the general system and its environment shows the basic condition for the system’s overall sustainability.

Rating Environmental Performance in the Building Industry: Leadership in Energy and Environmental Design (LEED)

2017 ◽  
pp. 1-20
Author(s):  
Andrea Larson ◽  
Mark Meier ◽  
Jeff York
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Environmental Performance ◽  
High Performance ◽  
Environmental Design ◽  
Green Building ◽  
Wildlife Habitat ◽  
Social Benefits ◽  
Building Industry ◽  
Water Runoff

Environmentally preferable or “green” building uses optimal and innovative design to provide economic, health, environmental, and social benefits. In 1993 the U.S. Green Building Council (USGBC) was formed by a broad range of building industry stakeholders from the public, private, and nonprofit sectors. It is a committee-based, member-driven, and consensus-focused nonprofit coalition leading a national effort to promote high-performance buildings that are environmentally responsible, profitable, and healthy places to live and work. In 2000, USGBC created the Leadership in Energy and Environmental Design (LEED) rating system. That voluntary standard was intended to transform the building market by providing guidelines, certification, and education for green building. LEED is a comprehensive, transparent, and market-driven framework for assessing buildings' environmental performance. Compared to standard practice, “green” buildings can provide greater economic and social benefits over the life of the structures, reduce or eliminate adverse human health effects, and even contribute to improved air and water quality. Opportunities for reducing both costs and environmental impact include low-disturbance land use techniques, improved lighting design, high performance water fixtures, careful materials selection, energy efficient appliances and heating and cooling systems, and on-site water treatment and recycling. Less familiar innovations include natural ventilation and cooling without fans and air conditioners, vegetative roofing systems that provide wildlife habitat and reduce storm water runoff, and constructed wetlands that help preserve water quality while reducing water treatment costs.

scholarly journals A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2244 ◽  
Author(s):  
Ghulam Hafeez ◽  
Khurram Saleem Alimgeer ◽  
Zahid Wadud ◽  
Zeeshan Shafiq ◽  
Mohammad Usman Ali Khan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Energy Consumption ◽  
Convergence Rate ◽  
Smart Grid ◽  
Energy Management ◽  
Electrical Energy ◽  
Features Selection ◽  
Electrical Energy Consumption ◽  
Efficient Energy ◽  
Proposed Model

Energy consumption forecasting is of prime importance for the restructured environment of energy management in the electricity market. Accurate energy consumption forecasting is essential for efficient energy management in the smart grid (SG); however, the energy consumption pattern is non-linear with a high level of uncertainty and volatility. Forecasting such complex patterns requires accurate and fast forecasting models. In this paper, a novel hybrid electrical energy consumption forecasting model is proposed based on a deep learning model known as factored conditional restricted Boltzmann machine (FCRBM). The deep learning-based FCRBM model uses a rectified linear unit (ReLU) activation function and a multivariate autoregressive technique for the network training. The proposed model predicts future electrical energy consumption for efficient energy management in the SG. The proposed model is a novel hybrid model comprising four modules: (i) data processing and features selection module, (ii) deep learning-based FCRBM forecasting module, (iii) genetic wind driven optimization (GWDO) algorithm-based optimization module, and (iv) utilization module. The proposed hybrid model, called FS-FCRBM-GWDO, is tested and evaluated on real power grid data of USA in terms of four performance metrics: mean absolute percentage deviation (MAPD), variance, correlation coefficient, and convergence rate. Simulation results validate that the proposed hybrid FS-FCRBM-GWDO model has superior performance than existing models such as accurate fast converging short-term load forecasting (AFC-STLF) model, mutual information-modified enhanced differential evolution algorithm-artificial neural network (MI-mEDE-ANN)-based model, features selection-ANN (FS-ANN)-based model, and Bi-level model, in terms of forecast accuracy and convergence rate.

The energy efficiency of corporate real estate assets

2016 ◽  
Vol 18 (2) ◽  
pp. 68-101 ◽  
Author(s):  
Markus Surmann ◽  
Wolfgang Andreas Brunauer ◽  
Sven Bienert
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Real Estate ◽  
Energy Management ◽  
Environmental Performance ◽  
Corporate Environmental Performance ◽  
Total Energy Consumption ◽  
Content Type ◽  
Building Characteristics ◽  
Real Estate Assets

Purpose On the basis of corporate wholesale and hypermarket stores, this study aims to investigate the relationship between energy consumption, physical building characteristics and operational sales performance and the impact of energy management on the corporate environmental performance. Design/methodology/approach A very unique dataset of METRO GROUP over 19 European countries is analyzed in a sophisticated econometric approach for the timeframe from January 2011 until December 2014. Multiple regression models are applied for the panel, to explain the electricity consumption of the corporate assets on a monthly basis and the total energy consumption on an annual basis. Using Generalized Additive Models, to model nonlinear covariate effects, the authors decompose the response variables into the implicit contribution of building characteristics, operational sales performance and energy management attributes, under control of the outdoor weather conditions and spatial–temporal effects. Findings METRO GROUP’s wholesale and hypermarket stores prove significant reductions in electricity and total energy consumption over the analyzed timeframe. Due to the implemented energy consumption and carbon emission reduction targets, the influence of the energy management measures, such as the identification of stores associated with the lowest energy performance, was found to contribute toward a more efficient corporate environmental performance. Originality/value In the context of corporate responsibility/sustainability of wholesale, hypermarket and retail corporations, the energy efficiency and reduction of carbon emissions from corporates’ real estate assets is of emerging interest. Besides the insights about the energy efficiency of corporate real estate assets, the role of the energy management, contributing to a more efficient corporate environmental performance, is not yet investigated for a large European wholesale and hypermarket portfolio.

Remote energy management benefits in retail building portfolios

2014 ◽  
Vol 12 (1) ◽  
pp. 56-71
Author(s):  
Eeva Määttänen ◽  
Riikka Kyrö ◽  
Anna Aaltonen ◽  
Anna-Liisa Sarasoja ◽  
Seppo Junnila
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Environmental Performance ◽  
Management Practices ◽  
Positive Impact ◽  
Effective Means ◽  
Individual Characteristics ◽  
Climate Impacts ◽  
Management Service ◽  
Content Type

Purpose – The study aims to investigate the effects of a remote energy management service to the energy consumption of retail buildings. The study focuses on analysing the changes in energy consumption after the implementation of a facility service concept where building processes are optimized with a remote energy management system. The paper seeks to demonstrate that remotely operated building management practices, which allow high competence service for all facilities, have a positive impact, beyond traditional facility services, on energy and environmental performance of buildings. Design/methodology/approach – The research analyses the metered energy consumption of two retail building portfolios comprising altogether 44 properties. Additionally, secondary data are collected from archive reviews, observation and interviews. Findings – The research shows that remote energy management service reduced the total energy consumption during the two-year service period by 12 and 6 per cent depending on the portfolio. Electricity consumption was found to decrease by 7 per cent and heating energy by 26 per cent on the average in the first portfolio, and 7 and 4 per cent in the second one, respectively. Research limitations/implications – Variation between buildings was found to be relatively high as the individual characteristics and history of the different buildings inevitably affect the achieved results. Practical implications – The study indicates that remote energy management offers an effective means to reduce the energy consumption and costs, and ultimately climate impacts derived from buildings. Originality/value – The study adds to the knowledge of facilities management in context to energy management and environmental performance of buildings.

scholarly journals Efficient Energy Management System using Zigbee for Residential Application

2019 ◽  
Vol 8 (4) ◽  
pp. 1406-1411
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management System ◽  
Residential Buildings ◽  
Peak Time ◽  
Energy Management System ◽  
Efficient Energy ◽  
Home Appliances ◽  
Cost Of Energy ◽  
The Cost

Energy management system is one of the challenging tasks associated with residential buildings. The cost of energy is purely based on the amount of energy consumed during peak hours. This paper focuses on an efficient energy management system for the control of energy consumption during peak hours. ZigBee module is used to monitor the energy consumed by the home appliances. The working of the proposed system is categorized into two modes of operation: normal time and peak time. During normal time, all home appliances can be operated and the cost of energy will be at normal rate. Whereas, during peak time, high rating machines will be shut down, that is controlled by ZigBee and the light loads will be operated from battery supply. Thus the proposed system reduces the energy consumption and is cost effective. Simulation analysis is done using proteus software. Hardware model is also implemented which proves that the proposed energy management system improves the energy efficiency.

scholarly journals Reducing Energy Consumption by Using Smart Metering Intelligent Systems

2016 ◽  
Vol 16 (2) ◽  
pp. 113-124
Author(s):  
Ivaylo Atanasov ◽  
Anastas Nikolov ◽  
Evelina Pencheva
Keyword(s):  
Energy Consumption ◽  
Web Services ◽  
Power Control ◽  
Energy Management ◽  
Intelligent Systems ◽  
Smart Metering ◽  
Efficient Energy ◽  
Machine Type ◽  
Machine Type Communications ◽  
Reducing Energy

Abstract Smart metering is aimed at efficient energy management. Its potential may be revealed using recent advances in machine type communications. This paper presents an approach to design web services for residential power control with prepaid functionality. The reduction in energy consumption is estimated for typical households applying heating control.

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