Pumps - Methods of qualification and verification of the Energy Efficiency Index for rotodynamic pump units

Abstract Retained energy (RE) and energetic efficiency index were measured in Nellore bulls from divergent classes of residual feed intake (RFI). Thirty-four Nellore bulls (15 low RFI-LRFI and 19 high RFI-HRFI) were feedlot finished and slaughtered with 385 ± 40 kg of body weight (BW) and 520 ± 26.2 days of age. At the beginning of the experiment, five LRFI and three HRFI were slaughtered and used as base line. Individual dry matter intake was recorded daily; initial and final BW were recorded after 16 h of fasting. Eight bulls, four LRFI and four HRFI, were fed at maintenance, receiving 65 g of DM/kg0.75 BW, and 18 bulls (10 LRFI and eight HRFI) were fed ad libitum. Diet had 19:81 roughage:concentrate, 88% of DM and 15% of crude protein. Ultrasound measurements on the Longissimus muscle were performed at intervals of 28 days. When two ad libitum bulls reached 4 mm of subcutaneous fat thickness, one maintenance bull was randomly chosen and slaughtered on the same day. After slaughter, the centesimal composition of the empty body and carcass was measured. Data were analyzed using a random coefficients model, and RFI class was included as a fixed effect. Least-square means were used to compare the means, and significance was declared for P ≤ 0.05. The LRFI had greater protein retention than HRFI (248 vs. 142 g/d; P = 0.009), and same fat and energy retention (313 g/d and 4.12 Mcal/d, respectively). The energy efficiency indexes, heat production per metabolic energy intake (Mcal/Mcal) and gain-to-feed (kg/kg) ratio, did not differ between RFI classes. Though LRFI had the same energy efficiency index, they were leaner. These results indicated an association of RFI and maturity patterns. Further research is needed to estimate the net energy requirements of Nellore bulls classified according to RFI. Acknowledgments: FAPESP Processes 2017/06709-2, 2018/20080–2 and 2019/17714-2.

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Energy Efficiency Assessment Oriented Building Energy Consumption System Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.415.734 ◽

2013 ◽

Vol 415 ◽

pp. 734-740

Author(s):

Yun Long Ma ◽

Xiao Hua Chen ◽

Bo Liu ◽

Guo Feng Zhang

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Energy Conservation ◽

Emission Reduction ◽

Building Energy ◽

Efficiency Index ◽

Assessment System ◽

Building Energy Consumption ◽

Building Energy Conservation ◽

Consumption System

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

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Implementation of Energy Management Concept and Energy Management System in High Rise Office Building

JURNAL TIARSIE ◽

10.32816/tiarsie.v16i3.55 ◽

2019 ◽

Vol 16 (3) ◽

pp. 85

Author(s):

Marsul Siregar ◽

Firma Purbantoro ◽

Tajuddin Nur

Keyword(s):

Energy Efficiency ◽

Energy Management ◽

Water Consumption ◽

Management System ◽

Green Building ◽

Efficiency Index ◽

Office Buildings ◽

Office Building ◽

Consumption Index ◽

Management Concept

Energy Management Concept as part of Green Building Concept is focused to Improve Energy Efficiency Index (EEI) and Water Consumption Index (WCI). The Implementation Energy Management Concept in an office buildings of this study based on the management system model of continual improvement ISO 50001:2011. The purpose of this study was to determine the extent to which the implementation of green building principles in Office Buildings. This study took the case study in an office building in Jakarta Indonesia that has two towers, each tower has 32 floors and 3 basement floors. The method used is descriptive with respect to GREENSHIP Rating Tools for existing building which consists of six categories; Appropriate Site Development (ASD), Energy Efficiency & Conservation (EEC), Water Conservation (WAC), Material Resources & Cycle (MRC), Indoor Air Health & Comfort (IHC) and Building & Environments Management (BEM). The results show that implementation the Energy Management Concept could also made energy performance more efficient, after Implementing through Retrofitting of the Chiller System, Recycle Waste Water, Replacement of Conventional lamp to Energy Saving LED and also Training and Education to all employees and tenants. From comparing data research before implementation of Energy Management Concept in 2014 and after Implementation and retrofitting in 2016, 2017 & 2018, it is found that Energy Efficiency Index (EEI) from 238.8 kwh/m2/Years to 134,04kwh/m2/Year and Water Consumption Index (WCI)From 50 liter/person/Day to 27.18 Liter/person/Day. And the saving cost from electricity bill payments is IDR. 466,803,325.67 / month (18%) and roughly will Break Event Point (BEP) for 3.86 Years

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Europump helps companies calculate Energy Efficiency Index

Pump Industry Analyst ◽

10.1016/s1359-6128(12)70071-x ◽

2011 ◽

Vol 2011 (12) ◽

pp. 12

Keyword(s):

Energy Efficiency ◽

Efficiency Index

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The Total Energy Efficiency Index for machine tools

Energy ◽

10.1016/j.energy.2016.02.126 ◽

2016 ◽

Vol 102 ◽

pp. 682-693 ◽

Cited By ~ 41

Author(s):

Timo Schudeleit ◽

Simon Züst ◽

Lukas Weiss ◽

Konrad Wegener

Keyword(s):

Energy Efficiency ◽

Total Energy ◽

Machine Tools ◽

Efficiency Index

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Towards Industrial Energy Efficiency Index

Environmental and Climate Technologies ◽

10.2478/rtuect-2020-0025 ◽

2020 ◽

Vol 24 (1) ◽

pp. 419-430

Author(s):

Kristiāna Dolge ◽

Anna Kubule ◽

Stelios Rozakis ◽

Inga Gulbe ◽

Dagnija Blumberga ◽

...

Keyword(s):

Energy Efficiency ◽

Composite Index ◽

Efficiency Index ◽

Energy Utilization ◽

Utilization Efficiency ◽

Industrial Energy ◽

Efficiency Performance ◽

First Results ◽

Industrial Energy Efficiency

AbstractThe study analyses factors that determine industrial energy efficiency. Composite index methodology was applied to evaluate energy utilization efficiency levels across different industrial sub-sectors. In total 12 indicators were incorporated in 3 main dimensions – economic, technical, and environmental. The first results for dimension sub-indices of the 18 main manufacturing sub-sectors in Latvia were presented and discussed. The findings of the study indicated that sector-specific disparities exist that significantly impact the energy efficiency performance of each industrial sub-sector.

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