High-Efficiency Capture and Recovery of Anionic Perfluoroalkyl Substances from Water Using PVA/PDDA Nanofibrous Membranes with Near-Zero Energy Consumption

Author(s):  
Hao Guo ◽  
Junwei Zhang ◽  
Lu Elfa Peng ◽  
Xianhui Li ◽  
Yiliang Chen ◽  
...  
Author(s):  
Patrick Edward Roach ◽  
Ismet Ugursal

The residential sector accounts for 17% of all energy consumption in Canada. Efforts to reduce this energy consumption and the associated emissions include the replacement of traditional housing with passive and net-zero energy house designs. These two concepts involve the decreasing of loads as much as possible through high performance enclosures and high efficiency mechanical and electrical systems as well as, in the case of Net-Zero Energy Buildings (NZEBs), offsetting these small loads with their own on-site renewable energy generation. The techno-economic feasibility of achieving NZEB status for a new construction, detached, single family residences in Nova Scotia is evaluated using a combination of energy modelling software to estimate annual energy use for proposed home designs as well as estimating the prospective monetary costs of proposed home designs. These energy use and cost evaluations are compared to a “base case”, an approximation of a current typical new construction four-person home. Based on cost and energy savings associated with each potential upgrade, a pathway to achieving a net-zero energy home is developed. This home can be developed in Nova Scotia at a 20% increase in initial cost with a payback period of 12 years when compared to the base case.


2013 ◽  
Vol 772 ◽  
pp. 144-148
Author(s):  
Young Cheol Kwon

To fight global warming, we must understand what our energy options are. By far the most important option is efficiency, which is the easiest, quickest, and least expensive way to fight global warming. The most efficient way to decrease the energy consumption of buildings is to increase the insulation of thermal envelopes such as the roof and exterior walls. Globally, many countries have targets to reduce building energy consumption and to provide energy efficient buildings such as passive house and zero energy buildings. This paper presents the applications of high-efficiency insulations for passive house and zero energy buildings. Insulation cost is a small percentage of the total construction cost, but the saved energy cost is large making payback periods short. Considering the possibility of rise of oil price and the exhaustion of fossil fuel, insulation should be added beyond the level that any building insulation code requires.


1987 ◽  
Vol 19 (3-4) ◽  
pp. 391-400 ◽  
Author(s):  
Zhou Ding ◽  
Cai Wei Min ◽  
Wang Qun Hui

This paper studies the use of bipolar-particles-electrodes in the decolorization of dyeing effluents. Treatment of highly colored solutions of various soluble dyes (such as direct, reactive, cationic or acid dyes) and also samples of dyeing effluents gave rise to an almost colorless transparent liquid, with removal of CODcr and BOD5 being as high as over 80%. The method is characterized by its high efficiency, low energy consumption and long performance life. A discussion of the underlying principle is given.


Solar Energy ◽  
2021 ◽  
Vol 216 ◽  
pp. 315-320
Author(s):  
Samer El Sayary ◽  
Osama Omar

2021 ◽  
Vol 13 (9) ◽  
pp. 5201
Author(s):  
Kittisak Lohwanitchai ◽  
Daranee Jareemit

The concept of a zero energy building is a significant sustainable strategy to reduce greenhouse gas emissions. The challenges of zero energy building (ZEB) achievement in Thailand are that the design approach to reach ZEB in office buildings is unclear and inconsistent. In addition, its implementation requires a relatively high investment cost. This study proposes a guideline for cost-optimal design to achieve the ZEB for three representative six-story office buildings in hot and humid Thailand. The energy simulations of envelope designs incorporating high-efficiency systems are carried out using eQuest and daylighting simulation using DIALux evo. The final energy consumptions meet the national ZEB target but are higher than the rooftop PV generation. To reduce such an energy gap, the ratios of building height to width are proposed. The cost-benefit of investment in ZEB projects provides IRRs ranging from 10.73 to 13.85%, with payback periods of 7.2 to 8.5 years. The energy savings from the proposed designs account for 79.2 to 81.6% of the on-site energy use. The investment of high-performance glazed-windows in the small office buildings is unprofitable (NPVs = −14.77–−46.01). These research results could help architects and engineers identify the influential parameters and significant considerations for the ZEB design. Strategies and technical support to improve energy performance in large and mid-rise buildings towards ZEB goals associated with the high investment cost need future investigations.


Author(s):  
Lohit Saini ◽  
Chandan Swaroop Meena ◽  
Binju P Raj ◽  
Nehul Agarwal ◽  
Ashok Kumar

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3252 ◽  
Author(s):  
Xiaolong Xu ◽  
Guohui Feng ◽  
Dandan Chi ◽  
Ming Liu ◽  
Baoyue Dou

Optimizing key parameters with energy consumption as the control target can minimize the heating and cooling needs of buildings. In this paper we focus on the optimization of performance parameters design and the prediction of energy consumption for nearly Zero Energy Buildings (nZEB). The optimal combination of various performance parameters and the Energy Saving Ratio (ESR)are studied by using a large volume of simulation data. Artificial neural networks (ANNs) are applied for the prediction of annual electrical energy consumption in a nearly Zero Energy Building designs located in Shenyang (China). The data of the energy demand for our test is obtained by using building simulation techniques. The results demonstrate that the heating energy demand for our test nearly Zero Energy Building is 17.42 KW·h/(m2·a). The Energy Saving Ratio of window-to-wall ratios optimization is the most obvious, followed by thermal performance parameters of the window, and finally the insulation thickness. The maximum relative error of building energy consumption prediction is 6.46% when using the artificial neural network model to predict energy consumption. The establishment of this prediction method enables architects to easily and accurately obtain the energy consumption of buildings during the design phase.


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