COMPARISON OF ENERGY USE AND PIGLET PERFORMANCE BETWEEN CONVENTIONAL AND ENERGY-EFFICIENT HEAT LAMPS

1997 ◽  
Vol 13 (1) ◽  
pp. 95-99 ◽  
Author(s):  
H. Xin ◽  
H. Zhou ◽  
D. S. Bundy
Keyword(s):  
Energy Efficient ◽  
Energy Use

Buildings

2017 ◽  
Author(s):  
Peter Rez
Keyword(s):  
Heat Transfer ◽  
Heat Pump ◽  
Energy Efficient ◽  
Energy Use ◽  
Fossil Fuel ◽  
Local Climate ◽  
Heating And Cooling ◽  
The Difference ◽  
As If

Most of the energy used by buildings goes into heating and cooling. For small buildings, such as houses, heat transfer by conduction through the sides is as much as, if not greater than, the heat transfer from air exchanges with the outside. For large buildings, such as offices and factories, the greater volume-to-surface ratio means that air exchanges are more significant. Lights, people and equipment can make significant contributions. Since the energy used depends on the difference in temperature between the inside and the outside, local climate is the most important factor that determines energy use. If heating is required, it is usually more efficient to use a heat pump than to directly burn a fossil fuel. Using diffuse daylight is always more energy efficient than lighting up a room with artificial lights, although this will set a limit on the size of buildings.

scholarly journals Implementation of BIM Modelling and Simulation Tools in Reducing Annual Energy Consumption of Multifamily Dwellings

2020 ◽  
Vol 170 ◽  
pp. 01002
Author(s):  
Subbarao Yarramsetty ◽  
MVN Siva Kumar ◽  
P Anand Raj
Keyword(s):  
Energy Efficient ◽  
Energy Use ◽  
Construction Materials ◽  
Residential Building ◽  
Energy Simulation ◽  
Point Of View ◽  
Rotational Angle ◽  
Existing Building ◽  
Simulation Tools ◽  
Efficient Option

In current research, building modelling and energy simulation tools were used to analyse and estimate the energy use of dwellings in order to reduce the annual energy use in multifamily dwellings. A three-story residential building located in Kabul city was modelled in Revit and all required parameters for running energy simulation were set. A Total of 126 experiments were conducted to estimate annual energy loads of the building. Different combinations from various components such as walls, roofs, floors, doors, and windows were created and simulated. Ultimately, the most energy efficient option in the context of Afghan dwellings was figured out. The building components consist of different locally available construction materials currently used in buildings in Afghanistan. Furthermore, the best energy efficient option was simulated by varying, building orientation in 15-degree increments and glazing area from 10% to 60% to find the most energy efficient combination. It was found that combination No. 48 was best option from energy conservation point of view and 120-degree rotational angle from north to east, of the existing building was the most energy-efficient option. Also, it was observed that 60% glazing area model consumed 24549 kWh more electricity compared to the one with 10% glazing area.

scholarly journals ENERGY EFFICIENCY IN RESIDENTIAL BUILDINGS, LESS STRAIGHT FORWARD THEN PRESUMED

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Hugo Hens
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Energy Use ◽  
Low Voltage ◽  
Residential Buildings ◽  
Primary Energy ◽  
Heating And Cooling ◽  
Net Zero ◽  
Energy Conserving ◽  
New Construction

Since the 1990s, the successive EU directives and related national or regional legislations require new construction and retrofits to be as much as possible energy-efficient. Several measures that should stepwise minimize the primary energy use for heating and cooling have become mandated as requirement. However, in reality, related predicted savings are not seen in practice. Two effects are responsible for that. The first one refers to dweller habits, which are more energy-conserving than the calculation tools presume. In fact, while in non-energy-efficient ones, habits on average result in up to a 50% lower end energy use for heating than predicted. That percentage drops to zero or it even turns negative in extremely energy-efficient residences. The second effect refers to problems with low-voltage distribution grids not designed to transport the peaks in electricity whensunny in summer. Through that, a part of converters has to be uncoupled now and then, which means less renewable electricity. This is illustrated by examples that in theory should be net-zero buildings due to the measures applied and the presence of enough photovoltaic cells (PV) on each roof. We can conclude that mandating extreme energy efficiency far beyond the present total optimum value for residential buildings looks questionable as a policy. However, despite that, governments and administrations still seem to require even more extreme measurements regarding energy efficiency.

Energy Efficient Residential Block Design

2013 ◽  
pp. 1027-1046 ◽  
Author(s):  
Hakan Hisarligil ◽  
Sule Karaaslan
Keyword(s):  
Energy Efficient ◽  
Energy Use ◽  
Block Design ◽  
Methodological Approach ◽  
Sustainable Urban Development ◽  
Efficient Design ◽  
Heating And Cooling ◽  
Building Energy Analysis ◽  
Cooling Loads ◽  
User Friendly

This chapter presents a methodological approach to residential block design for sustainable urban development for hot-summer and cold-winter climates. Taking Ankara as a case, its focus is on developing an energy efficient design process as regards residential block geometry with optimum performance for both climate and energy use. The numerous variables analyzed are orientation, building geometry and envelope, heating and cooling loads of buildings, and microclimatic conditions including solar radiation, air, and wall temperature, and wind speed. It is also important in this study to demonstrate the potential use of “free and user-friendly” simulation tools for such analysis in the early design phase for those who are not experts but have moderate knowledge of urban microclimate and energy. For this aim Weather Tool v2.00 for climate and passive design analysis, CASAnova 3.0 for building energy analysis, and ENVI-met 3.0 for microclimatic analysis are used.

scholarly journals Analisis Efisiensi Sumber Daya dan Produksi Bersih di Desa Wisata Pulesari, Sleman, Yogyakarta

2020 ◽  
pp. 307
Author(s):  
Muhammad Dzulkifli ◽  
Jussac Maulana Masjhoer
Keyword(s):  
Energy Efficient ◽  
Energy Use ◽  
Resource Efficiency ◽  
Cleaner Production ◽  
Led Lights

This study aims to describe the results of the Resource Efficiency and Cleaner Production (RECP) analysis based on the RECP assessment indicators from UNIDO and to give RECP recommendations based on the result of the assessment. The analysis shows that in the management of Desa Wisata Pulesari (Dewi Pule), there are three main activities that uses many resources, namely homestay, Dasa Wisma kitchen and Pendopo. The result says, inefficiencies of energy were found in kitchens and homestays. The use of energy in homestays can be saved by replacing ordinary lamps with LED lights. Efficiency in the kitchen can be done by using magnets on the gas hose and using a healthy energy efficient stove (TSHE) stove. From the results of these recommendations, Dewi Pule has the potential to reduce carbon by 65,279.9 CO2eq kg / year and in terms of economy Dewi Pule has the potential to save a total of IDR 33,412,106 / year. The assessment and application of RECP in a tourism village requires adjustments to the indicators. This is because the character of the resources and energy use in tourism villages is very different from the industries that have implemented the RECP method from UNIDO. Keywords: Efisiensi Sumberdaya, Produksi Bersih, Desa Wisata, Pulesari

scholarly journals The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1480 ◽  
Author(s):  
Qadeer Ali ◽  
Muhammad Jamaluddin Thaheem ◽  
Fahim Ullah ◽  
Samad M. E. Sepasgozar
Keyword(s):  
Energy Efficient ◽  
Behavioral Interventions ◽  
Energy Use ◽  
Energy Savings ◽  
Energy Performance ◽  
Office Buildings ◽  
Occupant Behavior ◽  
Energy Usage ◽  
Performance Gap ◽  
Energy Efficient Buildings

Rising demand and limited production of electricity are instrumental in spreading the awareness of cautious energy use, leading to the global demand for energy-efficient buildings. This compels the construction industry to smartly design and effectively construct these buildings to ensure energy performance as per design expectations. However, the research tells a different tale: energy-efficient buildings have performance issues. Among several reasons behind the energy performance gap, occupant behavior is critical. The occupant behavior is dynamic and changes over time under formal and informal influences, but the traditional energy simulation programs assume it as static throughout the occupancy. Effective behavioral interventions can lead to optimized energy use. To find out the energy-saving potential based on simulated modified behavior, this study gathers primary building and occupant data from three energy-efficient office buildings in major cities of Pakistan and categorizes the occupants into high, medium, and low energy consumers. Additionally, agent-based modeling simulates the change in occupant behavior under the direct and indirect interventions over a three-year period. Finally, energy savings are quantified to highlight a 25.4% potential over the simulation period. This is a unique attempt at quantifying the potential impact on energy usage due to behavior modification which will help facility managers to plan and execute necessary interventions and software experts to develop effective tools to model the dynamic usage behavior. This will also help policymakers in devising subtle but effective behavior training strategies to reduce energy usage. Such behavioral retrofitting comes at a much lower cost than the physical or technological retrofit options to achieve the same purpose and this study establishes the foundation for it.

scholarly journals Energy-Efficient Coding with Discrete Stochastic Events

2002 ◽  
Vol 14 (6) ◽  
pp. 1323-1346 ◽  
Author(s):  
Susanne Schreiber ◽  
Christian K. Machens ◽  
Andreas. V. M. Herz ◽  
Simon B. Laughlin
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Information Transfer ◽  
Energy Use ◽  
Bimodal Distribution ◽  
Fixed Cost ◽  
Signaling Cost ◽  
Trade Offs ◽  
Flow Through ◽  
Stochastic Events

We investigate the energy efficiency of signaling mechanisms that transfer information by means of discrete stochastic events, such as the opening or closing of an ion channel. Using a simple model for the generation of graded electrical signals by sodium and potassium channels, we find optimum numbers of channels that maximize energy efficiency. The optima depend on several factors: the relative magnitudes of the signaling cost (current flow through channels), the fixed cost of maintaining the system, the reliability of the input, additional sources of noise, and the relative costs of upstream and downstream mechanisms. We also analyze how the statistics of input signals influence energy efficiency. We find that energy-efficient signal ensembles favor a bimodal distribution of channel activations and contain only a very small fraction of large inputs when energy is scarce. We conclude that when energy use is a significant constraint, trade-offs between information transfer and energy can strongly influence the number of signaling molecules and synapses used by neurons and the manner in which these mechanisms represent information.

scholarly journals A survey on software methods to improve the energy efficiency of parallel computing

2016 ◽  
Vol 31 (6) ◽  
pp. 517-549 ◽  
Author(s):  
Chao Jin ◽  
Bronis R de Supinski ◽  
David Abramson ◽  
Heidi Poxon ◽  
Luiz DeRose ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Parallel Computing ◽  
Energy Efficient ◽  
Large Scale ◽  
Energy Use ◽  
Power Saving ◽  
Computing Methods ◽  
Power Budget ◽  
Load Imbalance ◽  
Mixed Precision

Energy consumption is one of the top challenges for achieving the next generation of supercomputing. Codesign of hardware and software is critical for improving energy efficiency (EE) for future large-scale systems. Many architectural power-saving techniques have been developed, and most hardware components are approaching physical limits. Accordingly, parallel computing software, including both applications and systems, should exploit power-saving hardware innovations and manage efficient energy use. In addition, new power-aware parallel computing methods are essential to decrease energy usage further. This article surveys software-based methods that aim to improve EE for parallel computing. It reviews the methods that exploit the characteristics of parallel scientific applications, including load imbalance and mixed precision of floating-point (FP) calculations, to improve EE. In addition, this article summarizes widely used methods to improve power usage at different granularities, such as the whole system and per application. In particular, it describes the most important techniques to measure and to achieve energy-efficient usage of various parallel computing facilities, including processors, memories, and networks. Overall, this article reviews the state-of-the-art of energy-efficient methods for parallel computing to motivate researchers to achieve optimal parallel computing under a power budget constraint.

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